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Donato Malerba
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- affiliation: University of Bari Aldo Moro, Italy
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2020 – today
- 2024
- [j87]Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Comput. Secur. 144: 103926 (2024) - [j86]Muhammad Imran, Annalisa Appice, Donato Malerba:
Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection. Future Internet 16(5): 168 (2024) - [j85]Vincenzo Pasquadibisceglie, Annalisa Appice, Giuseppe Ieva, Donato Malerba:
TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. J. Intell. Inf. Syst. 62(3): 705-733 (2024) - [j84]Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
PANACEA: a neural model ensemble for cyber-threat detection. Mach. Learn. 113(8): 5379-5422 (2024) - [j83]Corrado Loglisci, Donato Malerba, Saverio Pascazio:
Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. Quantum Mach. Intell. 6(2): 68 (2024) - [j82]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17075-17086 (2024) - [j81]Vincenzo Pasquadibisceglie, Raffaele Scaringi, Annalisa Appice, Giovanna Castellano, Donato Malerba:
${\sf PROPHET}$PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks. IEEE Trans. Serv. Comput. 17(6): 4111-4124 (2024) - [c249]Vincenzo Pasquadibisceglie, Annalisa Appice, Donato Malerba:
LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. ICPM 2024: 1-8 - [c248]Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba, Vito Recchia:
Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. IGARSS 2024: 5227-5230 - [c247]Vincenzo Pasquadibisceglie, Donato Lucente, Donato Malerba:
A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. ISMIS 2024: 136-145 - [c246]Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI. Ital-IA 2024: 182-187 - [c245]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. SAC 2024: 875-882 - [c244]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. SEBD 2024: 349-358 - [e12]Maurizio Atzori, Paolo Ciaccia, Michelangelo Ceci, Federica Mandreoli, Donato Malerba, Manuela Sanguinetti, Antonio Pellicani, Federico Motta:
Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024. CEUR Workshop Proceedings 3741, CEUR-WS.org 2024 [contents] - 2023
- [j80]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. Eng. Appl. Artif. Intell. 123(Part C): 106461 (2023) - [j79]Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba:
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. 214: 119123 (2023) - [j78]Filippo Lorè, Pierpaolo Basile, Annalisa Appice, Marco de Gemmis, Donato Malerba, Giovanni Semeraro:
An AI framework to support decisions on GDPR compliance. J. Intell. Inf. Syst. 61(2): 541-568 (2023) - [j77]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10050-10066 (2023) - [j76]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Nicola Fiorentino, Donato Malerba:
STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. IEEE Trans. Serv. Comput. 16(4): 2970-2984 (2023) - [c243]Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie:
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA 2023: 205-217 - [c242]Corrado Loglisci, Donato Malerba:
Coupling quantum classification and quantum distance estimation in continual learning. AIQxQIA@AI*IA 2023 - [c241]Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba:
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS 2023: 111-125 - [c240]Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA 2023: 1-2 - [c239]Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Striving for Simplicity in Deep Neural Models Trained for Malware Detection. PKDD/ECML Workshops (3) 2023: 529-540 - [c238]Corrado Loglisci, Ivan Diliso, Donato Malerba:
A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. SEBD 2023: 88-99 - [e11]Marco Anisetti, Angela Bonifati, Nicola Bena, Claudio A. Ardagna, Donato Malerba:
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), Milan, Italy, September 20-21, 2022. CEUR Workshop Proceedings 3340, CEUR-WS.org 2023 [contents] - 2022
- [j75]Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio:
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. 201: 117144 (2022) - [j74]Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello:
Leveraging autoencoders in change vector analysis of optical satellite images. J. Intell. Inf. Syst. 58(3): 433-452 (2022) - [j73]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. IEEE Trans. Serv. Comput. 15(4): 2382-2395 (2022) - [c237]Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. IEEE Big Data 2022: 2867-2874 - [c236]Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
An XAI-based adversarial training approach for cyber-threat detection. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c235]Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. ISMIS 2022: 117-126 - [c234]Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. itaDATA 2022: 39-50 - [c233]Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1) 2022: 281-292 - [c232]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
A multi-view deep learning approach for predictive business processes monitoring. SERVICES 2022: 26 - 2021
- [j72]Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba:
GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Gener. Comput. Syst. 123: 108-127 (2021) - [j71]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Autoencoder-based deep metric learning for network intrusion detection. Inf. Sci. 569: 706-727 (2021) - [j70]Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57(2): 369-394 (2021) - [j69]Annalisa Appice, Angelo Cannarile, Antonella Falini, Donato Malerba, Francesca Mazzia, Cristiano Tamborrino:
Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets. J. Intell. Inf. Syst. 57(3): 423-446 (2021) - [j68]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Nearest cluster-based intrusion detection through convolutional neural networks. Knowl. Based Syst. 216: 106798 (2021) - [c231]Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba:
Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images. AI*IA 2021: 478-489 - [c230]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Leveraging Multi-view Deep Learning for Next Activity Prediction. ITBPM@BPM 2021: 1-6 - [c229]Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba:
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS 2021: 111-121 - [c228]Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba:
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS 2021: 385-400 - [c227]Vincenzo Pasquadibisceglie, Giovanna Castellano, Annalisa Appice, Donato Malerba:
FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. ICPM 2021: 112-119 - [c226]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). SEBD 2021: 259-266 - [e10]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e9]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [j67]Annalisa Appice, Yulia R. Gel, Iliyan Iliev, Vyacheslav Lyubchich, Donato Malerba:
A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. IEEE Access 8: 52713-52725 (2020) - [j66]Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8: 53346-53359 (2020) - [j65]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba, Giuseppe Modugno:
ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. IEEE Access 8: 184073-184086 (2020) - [j64]Annalisa Appice, Pietro Guccione, Emilio Acciaro, Donato Malerba:
Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification. Appl. Intell. 50(10): 3179-3200 (2020) - [j63]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020) - [j62]Annalisa Appice, Giuseppina Andresini, Donato Malerba:
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection. J. Intell. Inf. Syst. 55(1): 1-26 (2020) - [j61]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020) - [j60]Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. 109(6): 1231-1279 (2020) - [c225]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Predictive Process Mining Meets Computer Vision. BPM (Forum) 2020: 176-192 - [c224]Annalisa Appice, Pasquale Ardimento, Donato Malerba, Giuseppe Modugno, Diego Marra, Marco Mottola:
Training in a Virtual Learning Environment: A Process Mining Approach. EAIS 2020: 1-8 - [c223]Antonella Falini, Graziano Castellano, Cristiano Tamborrino, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba:
Saliency Detection for Hyperspectral Images via Sparse-Non Negative-Matrix-Factorization and novel Distance Measures*. EAIS 2020: 1-8 - [c222]Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba:
Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. ISMIS 2020: 161-170 - [c221]Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba:
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. ISMIS 2020: 235-244 - [c220]Antonella Falini, Cristiano Tamborrino, Graziano Castellano, Francesca Mazzia, Rosa Maria Mininni, Annalisa Appice, Donato Malerba:
Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images. LOD (1) 2020: 113-124 - [c219]Matteo Greco, Michele Spagnoletta, Annalisa Appice, Donato Malerba:
Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study. MIDAS@PKDD/ECML 2020: 32-39 - [c218]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD 2020: 343-350 - [p9]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining 2020: 137-152 - [p8]Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification. Complex Pattern Mining 2020: 173-187 - [e8]Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents]
2010 – 2019
- 2019
- [j59]Marco Zappatore, Corrado Loglisci, Antonella Longo, Mario A. Bochicchio, Lucia Vaira, Donato Malerba:
Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. IEEE Access 7: 154141-154156 (2019) - [j58]Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska:
Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. 33(3): 698-729 (2019) - [j57]Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6: 43 (2019) - [c217]Annalisa Appice, Nicola Di Mauro, Donato Malerba:
Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC 2019: 184-188 - [c216]Corrado Loglisci, Donato Malerba:
Periodicity Detection of Emotional Communities in Microblogging. AI*IA 2019: 558-571 - [c215]Roberto Corizzo, Michelangelo Ceci, Donato Malerba:
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress 2019: 55-63 - [c214]Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops 2019: 281-290 - [c213]Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanna Castellano, Donato Malerba:
Using Convolutional Neural Networks for Predictive Process Analytics. ICPM 2019: 129-136 - [c212]Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba:
Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML 2019 - [c211]Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD 2019 - 2018
- [j56]Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Leveraging correlation across space and time to interpolate geophysical data via CoKriging. Int. J. Geogr. Inf. Sci. 32(1): 191-212 (2018) - [j55]Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci:
Multi-type clustering and classification from heterogeneous networks. Inf. Sci. 425: 107-126 (2018) - [j54]Annalisa Appice, Corrado Loglisci, Donato Malerba:
Active learning via collective inference in network regression problems. Inf. Sci. 460-461: 293-317 (2018) - [j53]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161: 294-312 (2018) - [c210]Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA 2018: 123-135 - [c209]Domenico Redavid, Roberto Corizzo, Donato Malerba:
An OWL Ontology for Supporting Semantic Services in Big Data Platforms. BigData Congress 2018: 228-231 - [c208]Domenico Redavid, Donato Malerba, Beniamino Di Martino, Antonio Esposito, Claudio A. Ardagna, Valerio Bellandi, Paolo Ceravolo, Ernesto Damiani:
Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS). CISIS 2018: 1012-1021 - [c207]Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba:
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT 2018: 615-626 - [c206]Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba:
Toward IoT-Friendly Learning Models. ICDCS 2018: 1284-1289 - [c205]Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba:
Distributed Learning of Process Models for Next Activity Prediction. IDEAS 2018: 278-282 - [c204]Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS 2018: 258-267 - [c203]Annalisa Appice, Antonietta Lanza, Donato Malerba:
Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting. ISMIS 2018: 357-366 - [c202]Annalisa Appice, Antonietta Lanza, Donato Malerba:
Wind Speed Forecasting via Structured Output Learning. SEBD 2018 - [p7]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Relational Data Mining in the Era of Big Data. A Comprehensive Guide Through the Italian Database Research 2018: 323-339 - 2017
- [j52]Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba:
Using multiple time series analysis for geosensor data forecasting. Inf. Sci. 380: 31-52 (2017) - [j51]Annalisa Appice, Pietro Guccione, Donato Malerba:
A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. Pattern Recognit. 63: 229-245 (2017) - [j50]Corrado Loglisci, Donato Malerba:
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. Stat. Anal. Data Min. 10(1): 40-53 (2017) - [j49]Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska:
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? IEEE Trans. Ind. Informatics 13(3): 956-966 (2017) - [c201]Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza:
Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. AI*IA 2017: 309-320 - [c200]Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS 2017: 283-297 - [c199]Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS 2017: 446-456 - [c198]Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML 2017: 35-48 - [c197]Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Forecasting via Distributed Density-Based Clustering. SEBD 2017: 57 - [e7]Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10536, Springer 2017, ISBN 978-3-319-71272-7 [contents] - 2016
- [j48]Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective regression for handling autocorrelation of network data in a transductive setting. J. Intell. Inf. Syst. 46(3): 447-472 (2016) - [j47]Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. 48(2): 429-463 (2016) - [j46]Annalisa Appice, Pietro Guccione, Donato Malerba:
Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. Mach. Learn. 103(3): 343-375 (2016) - [j45]Annalisa Appice, Donato Malerba:
A Co-Training Strategy for Multiple View Clustering in Process Mining. IEEE Trans. Serv. Comput. 9(6): 832-845 (2016) - [c196]Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Automatic Generation of Sitemaps Based on Navigation Systems. MOD 2016: 216-223 - [c195]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML 2016: 198-212 - [c194]Anna Maria Crespino, Angelo Corallo, Mariangela Lazoi, Donato Barbagallo, Annalisa Appice, Donato Malerba:
Anomaly detection in aerospace product manufacturing: Initial remarks. RTSI 2016: 1-4 - [c193]Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Multi-Type Classification from Heterogeneous Networks. SEBD 2016: 102-109 - [e6]Toon Calders, Michelangelo Ceci, Donato Malerba:
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings. Lecture Notes in Computer Science 9956, 2016, ISBN 978-3-319-46306-3 [contents] - 2015
- [j44]Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia:
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. 16(S-9): S7 (2015) - [j43]Annalisa Appice, Anna Ciampi, Donato Malerba:
Summarizing numeric spatial data streams by trend cluster discovery. Data Min. Knowl. Discov. 29(1): 84-136 (2015) - [j42]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational mining for discovering changes in evolving networks. Neurocomputing 150: 265-288 (2015) - [j41]Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. J. Intell. Inf. Syst. 44(3): 309-333 (2015) - [c192]Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba:
Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA 2015 - [c191]Annalisa Appice, Sonja Pravilovic, Antonietta Lanza, Donato Malerba:
Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. Discovery Science 2015: 9-16 - [c190]Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science 2015: 236-250 - [c189]Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. IDEAS 2015: 62-71 - [c188]Corrado Loglisci, Bachir Balech, Donato Malerba:
Discovering Variability Patterns for Change Detection in Complex Phenotype Data. ISMIS 2015: 9-18 - [c187]Annalisa Appice, Marco Di Pietro, Claudio Greco, Donato Malerba:
Discovering and Tracking Organizational Structures in Event Logs. NFMCP 2015: 46-60 - [c186]Corrado Loglisci, Donato Malerba:
Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. NFMCP 2015: 76-90 - [c185]NhatHai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire:
Mining Multi-Relational Gradual Patterns. SDM 2015: 846-854 - [c184]Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
VIPOC Project Research Summary (Discussion Paper). SEBD 2015: 208-215 - 2014
- [b1]Annalisa Appice, Anna Ciampi, Fabio Fumarola, Donato Malerba:
Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance. Springer Briefs in Computer Science, Springer 2014, ISBN 978-1-4471-5453-2, pp. I-XIII, 1-105 - [j40]Gianvito Pio, Donato Malerba, Domenica D'Elia, Michelangelo Ceci:
Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinform. 15(S-1): S4 (2014) - [j39]Annalisa Appice, Donato Malerba:
Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering. Data Min. Knowl. Discov. 28(5-6): 1266-1313 (2014) - [j38]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Informaticae 129(3): 193-224 (2014) - [j37]Annalisa Appice, Pietro Guccione, Donato Malerba, Anna Ciampi:
Dealing with temporal and spatial correlations to classify outliers in geophysical data streams. Inf. Sci. 285: 162-180 (2014) - [j36]Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. ACM Journal on Computing and Cultural Heritage 7(4): 22:1-22:21 (2014) - [c183]Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba:
Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. Discovery Science 2014: 49-61 - [c182]Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Wind Power Forecasting Using Time Series Cluster Analysis. Discovery Science 2014: 276-287 - [c181]Corrado Loglisci, Donato Malerba, Apostolos N. Papadopoulos:
Mining Trajectory Data for Discovering Communities of Moving Objects. EDBT/ICDT Workshops 2014: 301-308 - [c180]Fabio Fumarola, Donato Malerba:
A parallel algorithm for approximate frequent itemset mining using MapReduce. HPCS 2014: 335-342 - [c179]Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Innovative power operating center management exploiting big data techniques. IDEAS 2014: 326-329 - [c178]Corrado Loglisci, Donato Malerba:
Mining Dense Regions from Vehicular Mobility in Streaming Setting. ISMIS 2014: 40-49 - [c177]Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS 2014: 50-60 - [c176]Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. ISMIS 2014: 234-243 - [c175]Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba:
Automatic Extraction of Logical Web Lists. ISMIS 2014: 365-374 - [c174]Fabio Fumarola, Annalisa Appice, Donato Malerba:
A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants. ISMIS 2014: 518-523 - [c173]Corrado Loglisci, Annalisa Appice, Donato Malerba:
Collective Inference for Handling Autocorrelation in Network Regression. ISMIS 2014: 542-547 - [c172]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3) 2014: 508-511 - [c171]Sonja Pravilovic, Annalisa Appice, Antonietta Lanza, Donato Malerba:
Mining Cluster-Based Models of Time Series for Wind Power Prediction. SEBD 2014: 9-20 - [c170]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD 2014: 21-28 - [c169]Corrado Loglisci, Annalisa Appice, Antonella Montinari, Donato Malerba:
Network Regression in Collective Inference Setting. SEBD 2014: 224-235 - [c168]Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Big Data Techniques For Renewable Energy Market. SEBD 2014: 369-377 - 2013
- [j35]Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinform. 14: 285 (2013) - [j34]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. 14(S-7): S8 (2013) - [j33]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics 13: 22-39 (2013) - [j32]Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [j31]Annalisa Appice, Anna Ciampi, Donato Malerba, Pietro Guccione:
Using trend clusters for spatiotemporal interpolation of missing data in a sensor network. J. Spatial Inf. Sci. 6(1): 119-153 (2013) - [c167]Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza:
Enhancing Regression Models with Spatio-temporal Indicator Additions. AI*IA 2013: 433-444 - [c166]Sonja Pravilovic, Annalisa Appice, Donato Malerba:
An Intelligent Technique for Forecasting Spatially Correlated Time Series. AI*IA 2013: 457-468 - [c165]Annalisa Appice, Sonja Pravilovic, Donato Malerba:
Predictive Regional Trees to Supplement Geo-Physical Random Fields. CORES 2013: 259-268 - [c164]Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Learning Hierarchical Multi-label Classification Trees from Network Data. Discovery Science 2013: 233-248 - [c163]Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL 2013: 29-40 - [c162]Sonja Pravilovic, Annalisa Appice, Donato Malerba:
Process Mining to Forecast the Future of Running Cases. NFMCP 2013: 67-81 - [c161]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD 2013: 445-452 - 2012
- [j30]Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis:
Guest Editors' Introduction: special issue of selected papers from ECML PKDD 2011. Data Min. Knowl. Discov. 25(2): 169-172 (2012) - [j29]Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis:
Guest editors' introduction: special issue of selected papers from ECML PKDD 2011. Mach. Learn. 89(1-2): 1-3 (2012) - [c160]Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. DEXA (2) 2012: 48-55 - [c159]Annalisa Appice, Donato Malerba, Anna Ciampi:
Continuously Mining Sliding Window Trend Clusters in a Sensor Network. DEXA (2) 2012: 248-255 - [c158]Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Learning to Rank from Concept-Drifting Network Data Streams. DEXA (1) 2012: 384-396 - [c157]Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI 2012: 654-659 - [c156]Corrado Loglisci, Dino Ienco, Mathieu Roche, Maguelonne Teisseire, Donato Malerba:
Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. ICDM Workshops 2012: 789-796 - [c155]Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia:
Document Image Understanding through Iterative Transductive Learning. IRCDL 2012: 117-128 - [c154]Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25 - [c153]Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Mining Ranking Models from Dynamic Network Data. MLDM 2012: 566-577 - [c152]Annalisa Appice, Donato Malerba, Antonietta Lanza:
Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages. MSM/MUSE 2012: 44-62 - [c151]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Evolution Chains in Dynamic Networks. NFMCP 2012: 185-199 - [c150]Pietro Guccione, Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo:
Trend cluster based interpolation everywhere in a sensor network. SAC 2012: 827-828 - [c149]Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Criminal Behaviors. SEBD 2012: 221-232 - [c148]Anna Ciampi, Annalisa Appice, Pietro Guccione, Donato Malerba:
Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. W2GIS 2012: 203-220 - 2011
- [j28]Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba:
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. Intell. Data Anal. 15(1): 69-88 (2011) - [c147]Wil M. P. van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, R. P. Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos C. A. M. Buijs, Andrea Burattin, Josep Carmona, Malú Castellanos, Jan Claes, Jonathan E. Cook, Nicola Costantini, Francisco Curbera, Ernesto Damiani, Massimiliano de Leoni, Pavlos Delias, Boudewijn F. van Dongen, Marlon Dumas, Schahram Dustdar, Dirk Fahland, Diogo R. Ferreira, Walid Gaaloul, Frank van Geffen, Sukriti Goel, Christian W. Günther, Antonella Guzzo, Paul Harmon, Arthur H. M. ter Hofstede, John Hoogland, Jon Espen Ingvaldsen, Koki Kato, Rudolf Kuhn, Akhil Kumar, Marcello La Rosa, Fabrizio Maria Maggi, Donato Malerba, R. S. Mans, Alberto Manuel, Martin McCreesh, Paola Mello, Jan Mendling, Marco Montali, Hamid R. Motahari Nezhad, Michael zur Muehlen, Jorge Munoz-Gama, Luigi Pontieri, Joel Ribeiro, Anne Rozinat, Hugo Seguel Pérez, Ricardo Seguel Pérez, Marcos Sepúlveda, Jim Sinur, Pnina Soffer, Minseok Song, Alessandro Sperduti, Giovanni Stilo, Casper Stoel, Keith D. Swenson, Maurizio Talamo, Wei Tan, Chris Turner, Jan Vanthienen, George Varvaressos, Eric Verbeek, Marc Verdonk, Roberto Vigo, Jianmin Wang, Barbara Weber, Matthias Weidlich, Ton Weijters, Lijie Wen, Michael Westergaard, Moe Thandar Wynn:
Process Mining Manifesto. Business Process Management Workshops (1) 2011: 169-194 - [c146]Anna Ciampi, Annalisa Appice, Donato Malerba, Pietro Guccione:
Trend cluster based compression of geographically distributed data streams. CIDM 2011: 168-175 - [c145]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering process models through relational disjunctive patterns mining. CIDM 2011: 200-207 - [c144]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) 2011: 97-106 - [c143]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science 2011: 307-322 - [c142]Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
Extracting General Lists from Web Documents: A Hybrid Approach. IEA/AIE (1) 2011: 285-294 - [c141]Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba:
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL 2011: 115-118 - [c140]Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito:
MBlab: Molecular Biodiversity Laboratory. IRCDL 2011: 132-135 - [c139]Donato Malerba, Michelangelo Ceci, Annalisa Appice:
Relational Mining in Spatial Domains: Accomplishments and Challenges. ISMIS 2011: 16-24 - [c138]Eliana Salvemini, Fabio Fumarola, Donato Malerba, Jiawei Han:
FAST Sequence Mining Based on Sparse Id-Lists. ISMIS 2011: 316-325 - [c137]Anna Ciampi, Annalisa Appice, Donato Malerba, Angelo Muolo:
Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes. ISMIS 2011: 365-375 - [c136]Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
OLAP over Continuous Domains via Density-Based Hierarchical Clustering. KES (2) 2011: 559-570 - [c135]Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. SEBD 2011: 57-65 - [c134]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD 2011: 227-238 - [c133]Annalisa Appice, Michelangelo Ceci, Donato Malerba, Antonietta Lanza:
Learning and Transferring Geographically Weighted Regression Trees across Time. MSM/MUSE 2011: 97-117 - [c132]Pietro Guccione, Annalisa Appice, Anna Ciampi, Donato Malerba:
Trend Cluster Based Kriging Interpolation in Sensor Data Networks. MSM/MUSE 2011: 118-137 - [c131]Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, Jiawei Han:
HyLiEn: a hybrid approach to general list extraction on the web. WWW (Companion Volume) 2011: 35-36 - [c130]Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, Donato Malerba:
Growing parallel paths for entity-page discovery. WWW (Companion Volume) 2011: 145-146 - [p6]Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba:
Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems 2011: 87-109 - [p5]Michelangelo Ceci, Corrado Loglisci, Donato Malerba:
Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents 2011: 121-142 - [e5]Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I. Lecture Notes in Computer Science 6911, Springer 2011, ISBN 978-3-642-23779-9 [contents] - [e4]Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6912, Springer 2011, ISBN 978-3-642-23782-9 [contents] - [e3]Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III. Lecture Notes in Computer Science 6913, Springer 2011, ISBN 978-3-642-23807-9 [contents] - 2010
- [j27]Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba:
Unexpected results in automatic list extraction on the web. SIGKDD Explor. 12(2): 26-30 (2010) - [c129]Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba:
Mapping web pages to database records via link paths. CIKM 2010: 1637-1640 - [c128]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak 2010: 263-274 - [c127]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. ECAI 2010: 1107-1108 - [c126]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI 2010: 1117-1118 - [c125]Anna Ciampi, Annalisa Appice, Donato Malerba:
Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams. MSM/MUSE 2010: 142-161 - [c124]Anna Ciampi, Annalisa Appice, Donato Malerba:
Summarization for Geographically Distributed Data Streams. KES (3) 2010: 339-348 - [c123]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK 2010 - [c122]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Transductive learning for spatial regression with co-training. SAC 2010: 1065-1070 - [c121]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba:
Complex objects ranking: a relational data mining approach. SAC 2010: 1071-1077 - [c120]Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso:
Suggesting Tourist Destinations by means of Time-Slice Density Estimation. SEBD 2010: 94-105 - [c119]Anna Ciampi, Annalisa Appice, Donato Malerba, Giuseppe Saponaro, Domenico Triglione:
Clustering Spatio-Temporal Data Streams. SEBD 2010: 230-241 - [c118]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD 2010: 306-317 - [p4]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Transductive Learning for Spatial Data Classification. Advances in Machine Learning I 2010: 189-207
2000 – 2009
- 2009
- [j26]Antonio Turi, Corrado Loglisci, Eliana Salvemini, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. BMC Bioinform. 10(S-6) (2009) - [j25]Donato Malerba, Michelangelo Ceci, Annalisa Appice:
A relational approach to probabilistic classification in a transductive setting. Eng. Appl. Artif. Intell. 22(1): 109-116 (2009) - [c117]Anna Ciampi, Fabio Fumarola, Annalisa Appice, Donato Malerba:
Approximate Frequent Itemset Discovery from Data Stream. AI*IA 2009: 151-160 - [c116]Corrado Loglisci, Donato Malerba:
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. AIME 2009: 26-35 - [c115]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science 2009: 36-50 - [c114]Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba:
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. Discovery Science 2009: 385-392 - [c113]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS 2009: 119-128 - [c112]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS 2009: 563-572 - [c111]Corrado Loglisci, Donato Malerba:
Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. MLDM 2009: 251-265 - [c110]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM 2009: 427-439 - [c109]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD 2009: 89-100 - [c108]Corrado Loglisci, Eliana Salvemini, Antonio Turi, Giorgio Grillo, Donato Malerba, Domenica D'Elia:
Mining Frequent Patterns of Biological Spaced Motifs. SEBD 2009: 117-124 - [c107]Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba:
Spatial Regression in the Transductive Setting. SEBD 2009: 297-304 - [c106]Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba:
Mining preference relations to rank complex object. SEBD 2009: 313-324 - 2008
- [j24]Donato Malerba:
A relational perspective on spatial data mining. Int. J. Data Min. Model. Manag. 1(1): 103-118 (2008) - [c105]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Emerging Pattern Based Classification in Relational Data Mining. DEXA 2008: 283-296 - [c104]Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba:
A Grid-Based Multi-relational Approach to Process Mining. DEXA 2008: 701-709 - [c103]Corrado Loglisci, Donato Malerba:
Discovering Triggering Events from Longitudinal Data. ICDM Workshops 2008: 248-256 - [c102]Annalisa Appice, Anna Ciampi, Antonietta Lanza, Donato Malerba, Antonella Rapolla, Luisa Vetturi:
Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. ICDM Workshops 2008: 326-331 - [c101]Fabio Fumarola, Eliana Salvemini, Donato Malerba:
A KDD Platform Based on the Application Service Provider Paradigm. ICDM Workshops 2008: 983-986 - [c100]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Top-Down Induction of Relational Model Trees in Multi-instance Learning. ILP 2008: 24-41 - [c99]Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara:
Stepwise Induction of Logistic Model Trees. ISMIS 2008: 68-77 - [c98]Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba:
Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS 2008: 179-188 - [c97]Corrado Loglisci, Donato Malerba:
Discovering Explanations from Longitudinal Data. ISMIS 2008: 196-202 - [c96]Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba:
Relational Classification based on Emerging Patterns. SEBD 2008: 45-56 - [c95]Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Distributed Discovery of Multi-Level Approximate Process Patterns. SEBD 2008: 57-68 - [c94]Fabio Fumarola, Eliana Salvemini, Donato Malerba:
KD-ASP - A distributed collaborative data mining platform. SEBD 2008: 109-120 - [p3]Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof:
Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 2008 - [p2]Donato Malerba, Michelangelo Ceci, Margherita Berardi:
Machine Learning for Reading Order Detection in Document Image Understanding. Machine Learning in Document Analysis and Recognition 2008: 45-69 - 2007
- [j23]Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Data Mining and ILP for Document Image Understanding. Appl. Artif. Intell. 21(4&5): 317-342 (2007) - [j22]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Introduction to the special issue. Appl. Intell. 26(2): 81-82 (2007) - [j21]Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro:
Using colour information to understand censorship cards of film archives. Int. J. Document Anal. Recognit. 9(2-4): 281-297 (2007) - [j20]Michelangelo Ceci, Donato Malerba:
Classifying web documents in a hierarchy of categories: a comprehensive study. J. Intell. Inf. Syst. 28(1): 37-78 (2007) - [c93]Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba:
Discovering Relational Emerging Patterns. AI*IA 2007: 206-217 - [c92]Donato Malerba, Michelangelo Ceci:
Learning to Order: A Relational Approach. MCD 2007: 209-223 - [c91]Michelangelo Ceci, Margherita Berardi, G. Porcelli, Donato Malerba:
A Data Mining Approach to Reading Order Detection. ICDAR 2007: 924-928 - [c90]Annalisa Appice, Antonietta Lanza, Donato Malerba:
An Integrated Platform for Spatial Data Mining within a GIS Environment. ICDE Workshops 2007: 507-516 - [c89]Costantina Caruso, Donato Malerba:
A Data Mining Methodology for Anomaly Detection in Network Data. KES (2) 2007: 109-116 - [c88]Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba:
Transductive Learning from Relational Data. MLDM 2007: 324-338 - [c87]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD 2007: 390-397 - [e2]Michelangelo Ceci, Donato Malerba, Letizia Tanca:
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, Italy. 2007, ISBN 978-88-902981-0-3 [contents] - 2006
- [j19]Annalisa Appice, Claudia d'Amato, Floriana Esposito, Donato Malerba:
Classification of symbolic objects: A lazy learning approach. Intell. Data Anal. 10(4): 301-324 (2006) - [j18]Gennady L. Andrienko, Donato Malerba, Michael May, Maguelonne Teisseire:
Mining spatio-temporal data. J. Intell. Inf. Syst. 27(3): 187-190 (2006) - [c86]Margherita Berardi, Donato Malerba, Marcella Attimonelli:
Mining Information Extraction Models for HmtDB annotation. ICDM Workshops 2006: 207-212 - [c85]Margherita Berardi, Donato Malerba:
Learning Recursive Patterns for Biomedical Information Extraction. ILP 2006: 79-93 - [c84]Annalisa Appice, Floriana Esposito, Donato Malerba:
Classifying Aggregated Data: a Symbolic Data Analysis Approach. SEBD 2006: 105-116 - [c83]Michelangelo Ceci, Donato Malerba:
Relational Data Mining Techniques for Historical Document Processing. SEBD 2006: 309-320 - [e1]Floriana Esposito, Zbigniew W. Ras, Donato Malerba, Giovanni Semeraro:
Foundations of Intelligent Systems, 16th International Symposium, ISMIS 2006, Bari, Italy, September 27-29, 2006, Proceedings. Lecture Notes in Computer Science 4203, Springer 2006, ISBN 3-540-45764-X [contents] - 2005
- [c82]Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding. AI*IA 2005: 418-429 - [c81]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Mining Relational Association Rules for Propositional Classification. AI*IA 2005: 522-534 - [c80]Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. ICDAR 2005: 473-477 - [c79]Margherita Berardi, Oronzo Altamura, Michelangelo Ceci, Donato Malerba:
A color-based layout analysis to process censorship cards of film archives. ICDAR 2005: 1110-1114 - [c78]Donato Malerba, Annalisa Appice, Antonio Varlaro, Antonietta Lanza:
Spatial Clustering of Structured Objects. ILP 2005: 227-245 - [c77]Costantina Caruso, Donato Malerba, Davide Papagni:
Learning the Daily Model of Network Traffic. ISMIS 2005: 131-141 - [c76]Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba:
Mining and Filtering Multi-level Spatial Association Rules with ARES. ISMIS 2005: 342-353 - [c75]Donato Malerba, Michelangelo Ceci, Annalisa Appice:
Mining Model Trees from Spatial Data. PKDD 2005: 169-180 - [c74]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Propositionalization Through Relational Association Rules Mining. SEBD 2005: 125-136 - [c73]Antonio Varlaro, Annalisa Appice, Antonietta Lanza, Donato Malerba, Giuseppe Guarnieri:
Relational Clustering with Discrete Spatial Structure. SEBD 2005: 149-160 - 2004
- [j17]Francesca A. Lisi, Donato Malerba:
Inducing Multi-Level Association Rules from Multiple Relations. Mach. Learn. 55(2): 175-210 (2004) - [j16]Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice:
Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 612-625 (2004) - [c72]Margherita Berardi, Michele Lapi, Donato Malerba:
An Integrated Approach for Automatic Semantic Structure Extraction in Document Images. Document Analysis Systems 2004: 179-190 - [c71]Margherita Berardi, Michele Lapi, Pietro Leo, Donato Malerba, Caterina Marinelli, Gaetano Scioscia:
A Data Mining Approach to PubMed Query Refinement. DEXA Workshops 2004: 401-405 - [c70]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro:
Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL 2004: 328-335 - [c69]Margherita Berardi, Antonio Varlaro, Donato Malerba:
On the Effect of Caching in Recursive Theory Learning. ILP 2004: 44-62 - [c68]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. PKDD 2004: 99-111 - [c67]Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi:
Mining interesting spatial association rules: two case studies. SEBD 2004: 86-97 - [p1]Donato Malerba, Annalisa Appice, Michelangelo Ceci:
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. Database Support for Data Mining Applications 2004: 95-116 - 2003
- [j15]Donato Malerba:
Learning Recursive Theories in the Normal ILP Setting. Fundam. Informaticae 57(1): 39-77 (2003) - [j14]Paula Brito, Donato Malerba:
Guest-editorial: Mining official data. Intell. Data Anal. 7(6): 497-500 (2003) - [j13]Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba:
Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. 7(6): 541-566 (2003) - [j12]Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi, Annalisa Appice:
Empowering a GIS with inductive learning capabilities: the case of INGENS. Comput. Environ. Urban Syst. 27(3): 265-281 (2003) - [j11]Maria Francesca Costabile, Donato Malerba:
Editor's foreword. J. Vis. Lang. Comput. 14(6): 499-501 (2003) - [c66]Francesca A. Lisi, Donato Malerba:
Bridging the Gap between Horn Clausal Logic and Description Logics in Inductive Learning. AI*IA 2003: 53-64 - [c65]Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna:
Multi-relational Structural Bayesian Classifier. AI*IA 2003: 250-261 - [c64]Donato Malerba, Michelangelo Ceci, Margherita Berardi:
XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. DEXA 2003: 256-265 - [c63]Michelangelo Ceci, Donato Malerba:
Hierarchical Classification of HTML Documents with WebClassII. ECIR 2003: 57-72 - [c62]Donato Malerba, Floriana Esposito, Oronzo Altamura, Michelangelo Ceci, Margherita Berardi:
Correcting the Document Layout: A Machine Learning Approach. ICDAR 2003: 97- - [c61]Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba:
Learning Logic Programs for Layout Analysis Correction. ICML 2003: 27-34 - [c60]Michelangelo Ceci, Floriana Esposito, Michele Lapi, Donato Malerba:
Automated Classification of Web Documents into a Hierarchy of Categories. IIS 2003: 59-68 - [c59]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Mining Model Trees: A Multi-relational Approach. ILP 2003: 4-21 - [c58]Francesca A. Lisi, Donato Malerba:
Ideal Refinement of Descriptions in AL-Log. ILP 2003: 215-232 - [c57]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS 2003: 49-56 - [c56]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. KDID 2003: 17-27 - [c55]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Simplification Methods for Model Trees with Regression and Splitting Nodes. MLDM 2003: 20-34 - [c54]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Mr-SBC: A Multi-relational Naïve Bayes Classifier. PKDD 2003: 95-106 - [c53]Francesca A. Lisi, Donato Malerba:
Towards Object-Relational Data Mining. SEBD 2003: 269-280 - [c52]Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi:
Stepwise Model Tree Induction in a Multi-Relational Framework. SEBD 2003: 281-292 - [c51]Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba:
Mining Model Trees with Regression and Splitting Nodes. SEBD 2003: 495-506 - 2002
- [c50]Donato Malerba, Floriana Esposito, Michelangelo Ceci:
Mining HTML Pages to Support Document Sharing in a Cooperative System. EDBT Workshops 2002: 420-434 - [c49]Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli:
Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS 2002: 393-402 - [c48]Donato Malerba, Floriana Esposito, Oronzo Altamura:
Adaptive Layout Analysis of Document Images. ISMIS 2002: 526-534 - [c47]Francesca A. Lisi, Donato Malerba:
Efficient Discovery of Multiple-level Patterns. SEBD 2002: 237-250 - [c46]Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca:
Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD 2002: 251-264 - [c45]Donato Malerba, Francesca Esposito, Marianna Monopoli:
Estrazione e matching di oggetti simbolici da database relazionali. SEBD 2002: 265-272 - [c44]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
KDB2000: Uno strumento per la scoperta della conoscenza. SEBD 2002: 417-421 - 2001
- [j10]Floriana Esposito, Donato Malerba:
Machine Learning in Computer Vision (Editorial). Appl. Artif. Intell. 15(8): 693-705 (2001) - [j9]Floriana Esposito, Donato Malerba, Vittorio Marengo:
Inductive learning from numerical and symbolic data: An integrated framework. Intell. Data Anal. 5(6): 445-461 (2001) - [j8]Oronzo Altamura, Floriana Esposito, Donato Malerba:
Transforming paper documents into XML format with WISDOM++. Int. J. Document Anal. Recognit. 4(1): 2-17 (2001) - [c43]Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta:
Stepwise Induction of Model Trees. AI*IA 2001: 20-32 - [c42]Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Multiple Predicate Learning for Document Image Understanding. FLAIRS 2001: 372-376 - [c41]Donato Malerba, Floriana Esposito, Francesca A. Lisi:
A Logical Framework for Frequent Pattern Discovery in Spatial Data. FLAIRS 2001: 557-561 - [c40]Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci:
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. GREC 2001: 200-210 - [c39]Donato Malerba, Floriana Esposito, Francesca A. Lisi, Oronzo Altamura:
Automated Discovery of Dependencies Between Logical Components in Document Image Understanding. ICDAR 2001: 174-178 - [c38]Donato Malerba, Francesca A. Lisi:
Discovering Associations between Spatial Objects: An ILP Application. ILP 2001: 156-163 - [c37]Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi:
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps. MLDM 2001: 88-101 - [c36]Donato Malerba, Floriana Esposito, Francesca A. Lisi:
Mining Association Rules in Spatial Databases: A Logic-based Computational Method. SEBD 2001: 223-237 - [c35]Francesca Esposito, Donato Malerba, Pierpaolo Golia, Luigi Mastrapasqua, Nunzio Mastrapasqua:
Web Content Mining with WebClass. SEBD 2001: 299-313 - 2000
- [j7]Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Machine Learning for Intelligent Processing of Printed Documents. J. Intell. Inf. Syst. 14(2-3): 175-198 (2000) - [c34]Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions. ILP 2000: 93-111 - [c33]Donato Malerba, Floriana Esposito, Antonietta Lanza, Francesca A. Lisi:
Discovering Geographic Knowledge: The INGENS System. ISMIS 2000: 40-48
1990 – 1999
- 1999
- [c32]Floriana Esposito, Donato Malerba, Luigi Di Pace, Pietro Leo:
A Machine Learning Approach to Web Mining. AI*IA 1999: 190-201 - [c31]Oronzo Altamura, Floriana Esposito, Donato Malerba:
WISDOM++: An Interactive and Adaptive Document Analysis System. ICDAR 1999: 366-369 - [c30]Floriana Esposito, Donato Malerba, Francesca A. Lisi:
Machine Learning for Intelligent Document Processing: The WISDOM System. ISMIS 1999: 103-113 - [c29]Oronzo Altamura, Floriana Esposito, Francesca A. Lisi, Donato Malerba:
Symbolic Learning Techniques in Paper Document Processing. MLDM 1999: 159-173 - 1998
- [j6]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli:
Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. Int. J. Digit. Libr. 2(1): 3-19 (1998) - [c28]Donato Malerba, Floriana Esposito, Francesca A. Lisi:
Learning Recursive Theories with ATRE. ECAI 1998: 435-439 - [c27]Maria Francesca Costabile, Donato Malerba, Matthias L. Hemmje, Aldo Paradiso:
Building Metaphors for Supporting User Interaction with Multimedia Databases. VDB 1998: 47-65 - [c26]Maria Francesca Costabile, Donato Malerba, Matthias L. Hemmje, Aldo Paradiso:
Metaphors for Supporting User Interaction with Multimedia Databases - a demonstration. VDB 1998: 154-160 - 1997
- [j5]Floriana Esposito, Donato Malerba, Vincenza Ripa, Giovanni Semeraro:
Discovering Causal Rules in Relational Databases. Appl. Artif. Intell. 11(1): 71-84 (1997) - [j4]Floriana Esposito, Antonietta Lanza, Donato Malerba, Giovanni Semeraro:
Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning. Appl. Artif. Intell. 11(7-8): 673-696 (1997) - [j3]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
A Comparative Analysis of Methods for Pruning Decision Trees. IEEE Trans. Pattern Anal. Mach. Intell. 19(5): 476-491 (1997) - [c25]Donato Malerba, Floriana Esposito, Giovanni Semeraro, Sergio Caggese:
Handling Continuous Data in Top-Down Induction of First-Order Rules. AI*IA 1997: 24-35 - [c24]Donato Malerba, Floriana Esposito, Giovanni Semeraro, Luca de Filippis:
Processing Paper Documents with WISDOM. AI*IA 1997: 439-442 - [c23]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops:
IDL: A Prototypical Intelligent Digital Library Service. AI*IA 1997: 447-450 - [c22]Floriana Esposito, Sergio Caggese, Donato Malerba, Giovanni Semeraro:
Inductive Inference of First-Order Models from Numeric-Symbolic Data. AISTATS 1997: 173-182 - [c21]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli:
Machine Learning + On-line Libraries = IDL. ECDL 1997: 195-214 - [c20]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Cesare Daniele Antifora, Gioacchino de Gennaro:
Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques. ICDAR 1997: 722-727 - [c19]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli:
Knowledge Revision for Document Understanding. ISMIS 1997: 619-628 - [c18]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli:
A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. LOPSTR 1997: 300-321 - 1996
- [c17]Floriana Esposito, Angela Laterza, Donato Malerba, Giovanni Semeraro:
Locally Finite, Proper and Complete Operators for Refining Datalog Programs. ISMIS 1996: 468-478 - 1995
- [c16]Floriana Esposito, Nicola Fanizzi, Donato Malerba, Giovanni Semeraro:
Downward Refinement of Hierarchical Datalog Theories. GULP-PRODE 1995: 148-159 - [c15]Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Donato Malerba:
Revision of Logical Theories. AI*IA 1995: 365-376 - [c14]Donato Malerba, Floriana Esposito, Giovanni Semeraro:
A Further Comparison of Simplification Methods for Decision-Tree Induction. AISTATS 1995: 365-374 - [c13]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract). ECML 1995: 287-290 - [c12]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
A knowledge-based approach to the layout analysis. ICDAR 1995: 466-471 - [c11]Giovanni Semeraro, Floriana Esposito, Donato Malerba:
Ideal Refinement of Datalog Programs. LOPSTR 1995: 120-136 - [d2]Donato Malerba:
Page Blocks Classification. UCI Machine Learning Repository, 1995 - 1994
- [j2]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
multistrategy learning for document recognition. Appl. Artif. Intell. 8(1): 33-84 (1994) - [c10]Donato Malerba, Giovanni Semeraro, Floriana Esposito:
An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships. ECML 1994: 198-216 - [c9]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Traps and Pitfalls when Learning Logical Definitions from Relations. ISMIS 1994: 376-385 - [c8]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Clifford Brunk, Michael J. Pazzani:
Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL. LOPSTR 1994: 183-198 - [d1]Donato Malerba:
Document Understanding. UCI Machine Learning Repository, 1994 - 1993
- [c7]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Negation as a Specializing Operator. AI*IA 1993: 166-177 - [c6]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Decision Tree Pruning as a Search in the State Space. ECML 1993: 165-184 - [c5]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Automated acquisition of rules for document understanding. ICDAR 1993: 650-654 - [c4]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Machine Learning Techniques for Knowledge Acquisition and Refinement. SEKE 1993: 319-323 - 1992
- [j1]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Classification in Noisy Environments Using a Distance Measure Between Structural Symbolic Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. 14(3): 390-402 (1992) - 1991
- [c3]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
Flexible Matching for Noisy Structural Descriptions. IJCAI 1991: 658-664 - 1990
- [c2]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Enrico Annese, Giovanna Scafuro:
An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization. ICPR (1) 1990: 557-562 - [c1]Floriana Esposito, Donato Malerba, Giovanni Semeraro:
A Distance Measure for Decision Making in Uncertain Domains. IPMU 1990: 538-547
Coauthor Index
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