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ORCIDLaura Genga
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- affiliation: Einghoven University of Technology, The Netherlands
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2020 – today
- 2024
[j13]Claudia Diamantini
, Laura Genga, Alex Mircoli, Domenico Potena, Nicola Zannone:
Understanding the stumbling blocks of Italian higher education system: A process mining approach. Expert Syst. Appl. 242: 122747 (2024)- [j12]Laura Genga, Fabio Rossi, Claudia Diamantini, Emanuele Storti, Domenico Potena:
Model repair supported by frequent anomalous local instance graphs. Inf. Syst. 122: 102349 (2024) - [j11]Sicui Zhang, Laura Genga, Lukas R. C. Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak:
Re-ordered fuzzy conformance checking for uncertain clinical records. J. Biomed. Informatics 149: 104566 (2024) - [c49]Francesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Remco M. Dijkman:
Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning. BPM 2024: 167-184 - [c48]Andrei Buliga, Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco M. Dijkman, Chiara Di Francescomarino, Chiara Ghidini, Hajo A. Reijers:
Uncovering Patterns for Local Explanations in Outcome-Based Predictive Process Monitoring. BPM 2024: 363-380 - [c47]Maria Inês Ribeiro, Laura Genga, Monique Simons, Pieter Van Gorp:
Promoting Trustworthy AI in mHealth: a Gamified Approach to Value-Sensitive Design. HHAI Workshops 2024: 185-192 - [c46]Lorenzo J. James, Laura Genga, Barbara Montagne, Muriel A. Hagenaars, Pieter M. E. Van Gorp:
Toward Scalable Content Generation for Gamified mHealth Interventions: The Evaluation of LLM-Generated Goals on User Engagement. ICEC 2024: 94-107 - [c45]Lorenzo Joël James, Laura Genga, Barbara Montagne, Muriel A. Hagenaars, Pieter Van Gorp:
Caregiver's Evaluation of LLM-Generated Treatment Goals for Patients with Severe Mental Illnesses. PETRA 2024 - [c44]Davide Audrito, Luigi Di Caro, Laura Genga, Rachele Mignone, Roberto Nai, Ivan Spada, Emilio Sulis, Vittoria Margherita Sofia Trifiletti:
Standardization and harmonization of law through automated process analysis and similarity techniques. PLC@ICPM 2024: 34-45 - [c43]Laura Genga, Claudia Diamantini, Emanuele Storti, Domenico Potena:
Process-level Model Repair through Instance Graphs Representations. SEBD 2024: 359-367 - [e3]Adela del-Río-Ortega, Marco Montali, Stefanie Rinderle-Ma, Hajo A. Reijers, Jan vom Brocke, Mathias Weske, Benoît Depaire, Marta Indulska, Han van der Aa, Weronika T. Adrian, Laura Genga, Sander J. J. Leemans, Katarzyna Gdowska, María Teresa Gómez-López, Jana-Rebecca Rehse, Simone Agostinelli:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Krakow, Poland, September 1st to 6th, 2024. CEUR Workshop Proceedings 3758, CEUR-WS.org 2024 [contents] - [e2]Jan Martijn E. M. van der Werf, Cristina Cabanillas, Francesco Leotta, Laura Genga:
Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), Rome, Italy, October 27, 2023. CEUR Workshop Proceedings 3648, CEUR-WS.org 2024 [contents] - [e1]Laura Genga, Hugo A. López, Emilio Sulis:
Proceedings of the 1st International Workshop on Processes, Laws and Compliance co-located with 6th International Conference on Process Mining (ICPM 2024), Lyngby, Denmark, October 14, 2024 . CEUR Workshop Proceedings 3850, CEUR-WS.org 2024 [contents] - 2023
- [j10]Andrea Chiorrini, Claudia Diamantini, Laura Genga, Domenico Potena:
Multi-perspective enriched instance graphs for next activity prediction through graph neural network. J. Intell. Inf. Syst. 61(1): 5-25 (2023) - [j9]Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern, Philip J. Nickel, Barbara Elvira Ventura, Ilija Simic, Sarah Stryeck, Francesca Manni, César Ferri, Claire Jean-Quartier, Laura Genga, Gabriele Beate Schweikert, Mario Lovric, Michal Rosen-Zvi:
A historical perspective of biomedical explainable AI research. Patterns 4(9): 100830 (2023) - [c42]Claudia Diamantini, Laura Genga, Alex Mircoli, Domenico Potena:
BIG GUI: A Tool for Building and Analysing Instance Graphs. BPM (Demos / Resources Forum) 2023: 107-111 - [c41]Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Rob Verhoeven, Hanneke van Laarhoven, Remco M. Dijkman:
Interactive Multi-interest Process Pattern Discovery. BPM 2023: 303-319 - [c40]Roberto Nai, Emilio Sulis, Laura Genga:
Automated Analysis with Event Log Enrichment of the European Public Procurement Processes. ER (Workshops) 2023: 178-188 - [c39]Mozhgan Vazifehdoostirani, Mohsen Abbaspour Onari, Isel Grau, Laura Genga, Remco M. Dijkman:
Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring. ICPM Workshops 2023: 191-203 - [c38]Domenico Potena, Laura Genga, Annalisa Basta, Chiara Mercati, Claudia Diamantini:
Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study. ICPM Workshops 2023: 349-360 - [c37]Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Remco M. Dijkman:
IMPresseD: Outcome-Oriented Interactive Multi-Interest Process Pattern Discovery Tool. ICPM Doctoral Consortium / Demo 2023 - [c36]Roberto Aringhieri, Matteo Di Cunzolo, Matteo Dutto, Laura Genga, Alberto Guastalla, Mirko Locatelli, Laura Pellegrini, Giulia Ruffini, Emilio Sulis, Lavinia Chiara Tagliabue, Adriana Boccuzzi:
Simulation, optimization, and process mining: practicals applications in healthcare. Ital-IA 2023: 160-165 - [c35]Roberto Nai, Ishrat Fatima, Gabriele Morina, Emilio Sulis, Laura Genga, Rosa Meo, Paolo Pasteris:
AI Applied to the Analysis of the Contracts of the Italian Public Administrations. Ital-IA 2023: 255-260 - [c34]Amirreza Farahani, M. A. H. van Elzakker, Laura Genga, Pavel Troubil, Remco M. Dijkman:
Relational Graph Attention-Based Deep Reinforcement Learning: An Application to Flexible Job Shop Scheduling with Sequence-Dependent Setup Times. LION 2023: 347-362 - [c33]Britt Lukassen, Laura Genga, Yingqian Zhang:
Discovering Explicit Scale-Up Criteria in Crisis Response with Decision Mining. LION 2023: 459-474 - [i3]Mozhgan Vazifehdoostirani, Laura Genga, Xixi Lu, Rob Verhoeven, Hanneke van Laarhoven, Remco M. Dijkman:
Interactive Multi Interest Process Pattern Discovery. CoRR abs/2308.14475 (2023) - 2022
- [j8]Sicui Zhang, Laura Genga, Lukas R. C. Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak:
Fuzzy multi-perspective conformance checking for business processes. Appl. Soft Comput. 130: 109710 (2022) - [j7]Murat Firat, Julie De Meyere, Tugce G. Martagan, Laura Genga:
Optimizing the workload of production units of a make-to-order manufacturing system. Comput. Oper. Res. 138: 105530 (2022) - [j6]Laura Genga, Luca Allodi, Nicola Zannone:
Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes. J. Cybersecur. Priv. 2(1): 191-219 (2022) - [c32]Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli, Domenico Potena:
Embedding Process Structure in Activities for Process Mapping and Comparison. ADBIS (Short Papers) 2022: 119-129 - [c31]Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli, Domenico Potena:
Towards next-location prediction for process executions. ICPM 2022: 40-47 - [c30]Mozhgan Vazifehdoostirani, Laura Genga, Remco M. Dijkman:
Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction. ICPM 2022: 48-55 - 2021
- [j5]Sicui Zhang, Laura Genga, Hui Yan, Hongchao Nie, Xudong Lu, Uzay Kaymak:
Towards Multi-perspective Conformance Checking with Fuzzy Sets. Int. J. Interact. Multim. Artif. Intell. 6(5): 134-141 (2021) - [c29]Amirreza Farahani, Laura Genga, Remco M. Dijkman:
Tackling Uncertainty in Online Multimodal Transportation Planning Using Deep Reinforcement Learning. ICCL 2021: 578-593 - [c28]Pam Pijnenborg, Rob Verhoeven, Murat Firat, Hanneke van Laarhoven, Laura Genga:
Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach. ICPM 2021: 136-143 - [c27]Amirreza Farahani, Laura Genga, Remco M. Dijkman:
Online Multimodal Transportation Planning using Deep Reinforcement Learning. SMC 2021: 1691-1698 - [i2]Amirreza Farahani, Laura Genga, Remco M. Dijkman:
Online Multimodal Transportation Planning using Deep Reinforcement Learning. CoRR abs/2105.08374 (2021) - 2020
- [c26]Sicui Zhang, Laura Genga, Lukas R. C. Dekker, Hongchao Nie, Xudong Lu, Huilong Duan, Uzay Kaymak:
Towards Multi-perspective Conformance Checking with Aggregation Operations. IPMU (1) 2020: 215-229 - [p1]Laura Genga, Domenico Potena, Andrea Chiorrini, Claudia Diamantini, Nicola Zannone:
A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining. Complex Pattern Mining 2020: 103-119 - [i1]Sicui Zhang, Laura Genga, Hui Yan, Xudong Lu, Huilong Duan, Uzay Kaymak:
Towards Multi-perspective conformance checking with fuzzy sets. CoRR abs/2001.10730 (2020)
2010 – 2019
- 2019
- [j4]Laura Genga, Nicola Zannone, Anna Cinzia Squicciarini:
Discovering reliable evidence of data misuse by exploiting rule redundancy. Comput. Secur. 87 (2019) - [c25]Laura Genga, Chiara Di Francescomarino, Chiara Ghidini, Nicola Zannone:
Predicting Critical Behaviors in Business Process Executions: When Evidence Counts. BPM Forum 2019: 72-90 - [c24]Laura Genga, Luca Allodi, Nicola Zannone:
Unveiling Systematic Biases in Decisional Processes: An Application to Discrimination Discovery. AsiaCCS 2019: 67-72 - 2018
- [j3]Laura Genga, Mahdi Alizadeh, Domenico Potena, Claudia Diamantini, Nicola Zannone:
Discovering anomalous frequent patterns from partially ordered event logs. J. Intell. Inf. Syst. 51(2): 257-300 (2018) - [c23]Laura Genga, Nicola Zannone:
Towards a Systematic Process-aware Behavioral Analysis for Security. ICETE (1) 2018: 626-635 - 2017
- [c22]Laura Genga, Mahdi Alizadeh, Domenico Potena, Claudia Diamantini, Nicola Zannone:
APD tool: Mining Anomalous Patterns from Event Logs. BPM (Demos) 2017 - [c21]Claudia Diamantini, Laura Genga, Fabrizio Marozzo, Domenico Potena, Paolo Trunfio:
Discovering Mobility Patterns of Instagram Users through Process Mining Techniques. IRI 2017: 485-492 - [c20]Marco Cameranesi, Claudia Diamantini, Laura Genga, Domenico Potena:
Tell the student: evidence-based advantages of prerequisites. SEBD 2017: 259 - [c19]Niek Tax, Laura Genga, Nicola Zannone:
On the Use of Hierarchical Subtrace Mining for Efficient Local Process Model Mining. SIMPDA 2017: 8-22 - [c18]Laura Genga, Niek Tax, Nicola Zannone:
Mining Local Process Models and Their Correlations. SIMPDA (Revised Selected Papers) 2017: 65-88 - [c17]Marco Cameranesi, Claudia Diamantini, Laura Genga, Domenico Potena:
Students' careers analysis: a process mining approach. WIMS 2017: 26:1-26:7 - 2016
- [j2]Claudia Diamantini, Laura Genga, Domenico Potena, Wil M. P. van der Aalst:
Building instance graphs for highly variable processes. Expert Syst. Appl. 59: 101-118 (2016) - [j1]Claudia Diamantini, Laura Genga, Domenico Potena:
Behavioral process mining for unstructured processes. J. Intell. Inf. Syst. 47(1): 5-32 (2016) - [c16]Claudia Diamantini, Laura Genga, Domenico Potena:
Understanding knowlegde-intensive processes: From traces to instance graphs. HPCS 2016: 218-221 - [c15]Laura Genga, Domenico Potena, Orazio Martino, Mahdi Alizadeh, Claudia Diamantini, Nicola Zannone:
Subgraph Mining for Anomalous Pattern Discovery in Event Logs. NFMCP@PKDD/ECML 2016: 181-197 - 2015
- [c14]Claudia Diamantini, Laura Genga, Domenico Potena:
ESub: Exploration of Subgraphs. A tool for exploring models generated by Graph Mining algorithms. BPM (Demos) 2015: 70-74 - [c13]Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
Towards a customizable user-centered model for data analytics. CTS 2015: 249-256 - [c12]Claudia Diamantini, Laura Genga, Domenico Potena:
ESub: Mining and exploring substructures in knowledge-intensive processes. HPCS 2015: 323-324 - [c11]Claudia Diamantini, Laura Genga, Domenico Potena, Wil M. P. van der Aalst:
Towards Process Instances Building for Spaghetti Processes. SEBD 2015: 256-263 - 2014
- [c10]Claudia Diamantini, Laura Genga, Domenico Potena, Giuseppa Ribighini:
A methodology for building log of collaboration processes. CTS 2014: 337-344 - [c9]Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
Collaborative Building of an Ontology of Key Performance Indicators. OTM Conferences 2014: 148-165 - [c8]Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
Discovering Behavioural Patterns in Knowledge-Intensive Collaborative Processes. NFMCP 2014: 149-163 - [c7]Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
A semi-automatic methodology for the design of performance monitoring systems. SEBD 2014: 111-122 - [c6]Alfredo Cuzzocrea, Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
A composite methodology for supporting collaboration pattern discovery via semantic enrichment and multidimensional analysis. SoCPaR 2014: 459-464 - 2013
- [c5]Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
Pattern discovery from innovation processes. CTS 2013: 457-464 - [c4]Laura Genga:
Application of process mining techniques for innovation analysis and support. CTS 2013: 584-587 - [c3]Claudia Diamantini, Laura Genga, Domenico Potena, Emanuele Storti:
Innovation pattern analysis. CTS 2013: 628-629 - [c2]Claudia Diamantini, Laura Genga, Domenico Potena:
A Preliminary Survey on Innovation Process Management Systems. MEDI 2013: 92-103 - 2012
- [c1]Claudia Diamantini, Laura Genga, Domenico Potena:
Approximation of the Gradient of the Error Probability for Vector Quantizers. SEBD 2012: 193-204
Coauthor Index
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last updated on 2024-12-23 19:31 CET by the dblp team
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