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Stefano Melacci
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2020 – today
- 2024
- [c54]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. AAAI 2024: 7935-7942 - [i42]Matteo Tiezzi, Michele Casoni, Alessandro Betti, Tommaso Guidi, Marco Gori, Stefano Melacci:
On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. CoRR abs/2402.08132 (2024) - [i41]Achille Globo, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini, Marco Maggini, Stefano Melacci:
Neural paraphrasing by automatically crawled and aligned sentence pairs. CoRR abs/2402.10558 (2024) - [i40]Stefano Melacci, Achille Globo, Leonardo Rigutini:
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources. CoRR abs/2402.13302 (2024) - [i39]Luca Salvatore Lorello, Marco Lippi
, Stefano Melacci:
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns. CoRR abs/2402.17431 (2024) - [i38]Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci:
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. CoRR abs/2406.09062 (2024) - 2023
- [j23]Gabriele Ciravegna
, Pietro Barbiero
, Francesco Giannini
, Marco Gori, Pietro Liò, Marco Maggini
, Stefano Melacci
:
Logic Explained Networks. Artif. Intell. 314: 103822 (2023) - [j22]Lapo Faggi
, Alessandro Betti
, Dario Zanca, Stefano Melacci, Marco Gori:
Local propagation of visual stimuli in focus of attention. Neurocomputing 560: 126775 (2023) - [c53]Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso:
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. AI*IA 2023: 218-230 - [c52]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars
:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. IJCNN 2023: 1-9 - [c51]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. NeSy 2023: 432-433 - [p1]Gabriele Ciravegna, Francesco Giannini
, Pietro Barbiero, Marco Gori, Pietro Lio, Marco Maggini, Stefano Melacci:
Learning Logic Explanations by Neural Networks. Compendium of Neurosymbolic Artificial Intelligence 2023: 547-558 - [i37]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci, Tinne Tuytelaars:
Continual Learning with Pretrained Backbones by Tuning in the Input Space. CoRR abs/2306.02947 (2023) - [i36]Marco Gori, Stefano Melacci:
Collectionless Artificial Intelligence. CoRR abs/2309.06938 (2023) - [i35]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. CoRR abs/2312.09310 (2023) - 2022
- [b1]Alessandro Betti, Marco Gori
, Stefano Melacci:
Deep Learning to See - Towards New Foundations of Computer Vision. Springer Briefs in Computer Science, Springer 2022, ISBN 978-3-030-90986-4, pp. 1-96 - [j21]Matteo Tiezzi
, Giuseppe Marra
, Stefano Melacci
, Marco Maggini
:
Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 727-739 (2022) - [j20]Stefano Melacci
, Gabriele Ciravegna
, Angelo Sotgiu
, Ambra Demontis
, Battista Biggio
, Marco Gori, Fabio Roli
:
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9944-9959 (2022) - [c50]Pietro Barbiero, Gabriele Ciravegna
, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054 - [c49]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. AAAI 2022: 7728-7735 - [c48]Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci:
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. CoLLAs 2022: 183-200 - [c47]Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci:
Continual Learning through Hamilton Equations. CoLLAs 2022: 201-212 - [c46]Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci:
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. ICMLA 2022: 665-670 - [c45]Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci:
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. IJCAI 2022: 3480-3486 - [c44]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik:
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 2022 - [c43]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci:
Foveated Neural Computation. ECML/PKDD (3) 2022: 19-35 - [i34]Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci:
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. CoRR abs/2204.12193 (2022) - [i33]Alessandro Betti, Marco Gori, Stefano Melacci:
Deep Learning to See: Towards New Foundations of Computer Vision. CoRR abs/2206.15351 (2022) - [i32]Andrea Panizza, Szymon Tomasz Stefanek, Stefano Melacci, Giacomo Veneri, Marco Gori:
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors. CoRR abs/2208.04363 (2022) - [i31]Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini
, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Liò, Mateja Jamnik:
Concept Embedding Models. CoRR abs/2209.09056 (2022) - [i30]Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci:
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. CoRR abs/2210.09147 (2022) - 2021
- [j19]Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori, Stefano Melacci:
Visual Features and Their Own Optical Flow. Frontiers Artif. Intell. 4: 768516 (2021) - [j18]Lisa Graziani
, Marco Gori, Stefano Melacci
:
A language modeling-like approach to sketching. Neural Networks 144: 627-638 (2021) - [c42]Miguel Fabián Romero Rondón, Dario Zanca
, Stefano Melacci, Marco Gori, Lucile Sassatelli:
HeMoG: A White-Box Model to Unveil the Connection between Saliency Information and Human Head Motion in Virtual Reality. AIVR 2021: 10-18 - [c41]Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. ICMLA 2021: 1-8 - [c40]Simone Marullo
, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. IJCNN 2021: 1-8 - [c39]Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. IJCNN 2021: 1-8 - [c38]Enrico Meloni
, Alessandro Betti
, Lapo Faggi
, Simone Marullo
, Matteo Tiezzi
, Stefano Melacci
:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CSSL 2021: 62-74 - [i29]Andrea Zugarini, Luca Pasqualini, Stefano Melacci, Marco Maggini:
Generate and Revise: Reinforcement Learning in Neural Poetry. CoRR abs/2102.04114 (2021) - [i28]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-based Logic Explanations of Neural Networks. CoRR abs/2106.06804 (2021) - [i27]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. CoRR abs/2106.10974 (2021) - [i26]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci:
Logic Explained Networks. CoRR abs/2108.05149 (2021) - [i25]Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CoRR abs/2109.07855 (2021) - [i24]Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. CoRR abs/2109.08465 (2021) - [i23]Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli:
Can machines learn to see without visual databases? CoRR abs/2110.05973 (2021) - [i22]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks. CoRR abs/2112.09968 (2021) - 2020
- [j17]Alessandro Betti, Marco Gori, Stefano Melacci
:
Learning visual features under motion invariance. Neural Networks 126: 275-299 (2020) - [j16]Dario Zanca
, Stefano Melacci
, Marco Gori:
Gravitational Laws of Focus of Attention. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 2983-2995 (2020) - [j15]Alessandro Betti
, Marco Gori, Stefano Melacci
:
Cognitive Action Laws: The Case of Visual Features. IEEE Trans. Neural Networks Learn. Syst. 31(3): 938-949 (2020) - [j14]Francesco Farina
, Stefano Melacci
, Andrea Garulli
, Antonio Giannitrapani
:
Asynchronous Distributed Learning From Constraints. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4367-4373 (2020) - [j13]Marco Maggini
, Giuseppe Marra
, Stefano Melacci
, Andrea Zugarini
:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4475-4486 (2020) - [c37]Gabriele Ciravegna
, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori:
A Constraint-Based Approach to Learning and Explanation. AAAI 2020: 3658-3665 - [c36]Matteo Tiezzi
, Giuseppe Marra
, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI 2020: 1539-1546 - [c35]Lisa Graziani, Stefano Melacci, Marco Gori:
Generating Facial Expressions Associated with Text. ICANN (1) 2020: 621-632 - [c34]Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. ICPR 2020: 8906-8913 - [c33]Gabriele Ciravegna
, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci:
Human-Driven FOL Explanations of Deep Learning. IJCAI 2020: 2234-2240 - [c32]Alessandro Betti, Marco Gori, Simone Marullo
, Stefano Melacci:
Developing Constrained Neural Units Over Time. IJCNN 2020: 1-8 - [c31]Giuseppe Marra
, Matteo Tiezzi
, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Networks. IJCNN 2020: 1-8 - [c30]Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. IJCNN 2020: 1-8 - [c29]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. NeurIPS 2020 - [i21]Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. CoRR abs/2002.04407 (2020) - [i20]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. CoRR abs/2002.07684 (2020) - [i19]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Network. CoRR abs/2002.07720 (2020) - [i18]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini:
Deep Lagrangian Constraint-based Propagation in Graph Neural Networks. CoRR abs/2005.02392 (2020) - [i17]Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli:
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? CoRR abs/2006.03833 (2020) - [i16]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. CoRR abs/2006.09229 (2020) - [i15]Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori:
Wave Propagation of Visual Stimuli in Focus of Attention. CoRR abs/2006.11035 (2020) - [i14]Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. CoRR abs/2007.08224 (2020) - [i13]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. CoRR abs/2009.00296 (2020) - [i12]Dario Zanca, Marco Gori, Stefano Melacci, Alessandra Rufa:
Gravitational Models Explain Shifts on Human Visual Attention. CoRR abs/2009.06963 (2020)
2010 – 2019
- 2019
- [j12]Lisa Graziani, Stefano Melacci
, Marco Gori:
Coherence constraints in facial expression recognition. Intelligenza Artificiale 13(1): 79-92 (2019) - [c28]Lisa Graziani
, Stefano Melacci
, Marco Gori
:
Jointly Learning to Detect Emotions and Predict Facebook Reactions. ICANN (4) 2019: 185-197 - [c27]Andrea Zugarini, Stefano Melacci, Marco Maggini:
Neural Poetry: Learning to Generate Poems Using Syllables. ICANN (4) 2019: 313-325 - [c26]Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. IJCAI 2019: 2009-2015 - [c25]Achille Globo, Antonio Trevisi, Andrea Zugarini, Leonardo Rigutini
, Marco Maggini, Stefano Melacci:
Neural Paraphrasing by Automatically Crawled and Aligned Sentence Pairs. SNAMS 2019: 429-434 - [i11]Giuseppe Marra, Andrea Zugarini, Stefano Melacci, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. CoRR abs/1908.01819 (2019) - [i10]Andrea Zugarini, Stefano Melacci, Marco Maggini:
Neural Poetry: Learning to Generate Poems using Syllables. CoRR abs/1908.08861 (2019) - [i9]Alessandro Betti, Marco Gori, Stefano Melacci:
Learning Visual Features Under Motion Invariance. CoRR abs/1909.00350 (2019) - [i8]Marco Maggini, Giuseppe Marra, Stefano Melacci, Andrea Zugarini:
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances. CoRR abs/1909.05367 (2019) - [i7]Lisa Graziani, Stefano Melacci, Marco Gori:
Jointly Learning to Detect Emotions and Predict Facebook Reactions. CoRR abs/1909.10779 (2019) - [i6]Matteo Tiezzi, Stefano Melacci, Marco Maggini, Angelo Frosini:
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. CoRR abs/1909.12235 (2019) - [i5]Francesco Farina, Stefano Melacci, Andrea Garulli, Antonio Giannitrapani:
Asynchronous Distributed Learning from Constraints. CoRR abs/1911.05473 (2019) - 2018
- [c24]Lisa Graziani, Stefano Melacci
, Marco Gori:
The Role of Coherence in Facial Expression Recognition. AI*IA 2018: 320-333 - [c23]Andrea Zugarini, Jérémy Morvan, Stefano Melacci
, Stefan Knerr, Marco Gori:
Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text. ANNPR 2018: 90-101 - [c22]Giuseppe Marra
, Andrea Zugarini, Stefano Melacci
, Marco Maggini:
An Unsupervised Character-Aware Neural Approach to Word and Context Representation Learning. ICANN (3) 2018: 126-136 - [c21]Matteo Tiezzi
, Stefano Melacci
, Marco Maggini, Angelo Frosini:
Video Surveillance of Highway Traffic Events by Deep Learning Architectures. ICANN (3) 2018: 584-593 - [c20]Stefano Melacci, Achille Globo, Leonardo Rigutini:
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources. LREC 2018 - [i4]Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. CoRR abs/1807.06450 (2018) - [i3]Alessandro Betti, Marco Gori, Stefano Melacci:
Cognitive Action Laws: The Case of Visual Features. CoRR abs/1808.09162 (2018) - [i2]Lisa Graziani, Stefano Melacci, Marco Gori:
Coherence Constraints in Facial Expression Recognition. CoRR abs/1810.10326 (2018) - 2017
- [j11]Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang:
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28(1): 2-7 (2017) - 2016
- [j10]Marco Gori, Marco Lippi
, Marco Maggini, Stefano Melacci
:
Semantic video labeling by developmental visual agents. Comput. Vis. Image Underst. 146: 9-26 (2016) - [c19]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning with hard constraints as a limit case of learning with soft constraints. ESANN 2016 - 2015
- [j9]Giorgio Gnecco
, Marco Gori, Stefano Melacci
, Marcello Sanguineti
:
Foundations of Support Constraint Machines. Neural Comput. 27(2): 388-480 (2015) - [j8]Giorgio Gnecco
, Marco Gori, Stefano Melacci
, Marcello Sanguineti
:
Learning With Mixed Hard/Soft Pointwise Constraints. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2019-2032 (2015) - [c18]Marco Gori, Marco Lippi
, Marco Maggini, Stefano Melacci
, Marcello Pelillo:
En Plein Air Visual Agents. ICIAP (2) 2015: 697-709 - 2014
- [j7]Giorgio Gnecco
, Marco Gori, Stefano Melacci
, Marcello Sanguineti
:
A theoretical framework for supervised learning from regions. Neurocomputing 129: 25-32 (2014) - [c17]Marco Gori, Marco Lippi
, Marco Maggini, Stefano Melacci
:
On-Line Video Motion Estimation by Invariant Receptive Inputs. CVPR Workshops 2014: 726-731 - [i1]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Learning to see like children: proof of concept. CoRR abs/1408.2478 (2014) - 2013
- [j6]Stefano Melacci
, Marco Gori:
Learning with Box Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2680-2692 (2013) - [j5]Marco Gori, Stefano Melacci
:
Constraint Verification With Kernel Machines. IEEE Trans. Neural Networks Learn. Syst. 24(5): 825-831 (2013) - [c16]Salvatore Frandina, Marco Gori, Marco Lippi
, Marco Maggini, Stefano Melacci
:
Variational Foundations of Online Backpropagation. ICANN 2013: 82-89 - [c15]Giorgio Gnecco
, Marco Gori, Stefano Melacci
, Marcello Sanguineti
:
Learning with Hard Constraints. ICANN 2013: 146-153 - [c14]Salvatore Frandina, Marco Lippi
, Marco Maggini, Stefano Melacci
:
On-Line Laplacian One-Class Support Vector Machines. ICANN 2013: 186-193 - [c13]Stefano Melacci
, Marco Lippi
, Marco Gori, Marco Maggini:
Information-Based Learning of Deep Architectures for Feature Extraction. ICIAP (2) 2013: 101-110 - 2012
- [j4]Marco Maggini, Stefano Melacci
, Lorenzo Sarti:
Learning from pairwise constraints by Similarity Neural Networks. Neural Networks 26: 141-158 (2012) - [j3]Stefano Melacci
, Marco Gori:
Unsupervised Learning by Minimal Entropy Encoding. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1849-1861 (2012) - [c12]Marco Gori, Stefano Melacci
, Marco Lippi
, Marco Maggini:
Information Theoretic Learning for Pixel-Based Visual Agents. ECCV (6) 2012: 864-875 - 2011
- [j2]Stefano Melacci, Mikhail Belkin:
Laplacian Support Vector Machines Trained in the Primal. J. Mach. Learn. Res. 12: 1149-1184 (2011) - [c11]Stefano Melacci
, Marco Gori:
Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints. AI*IA 2011: 21-32 - [c10]Stefano Melacci
, Marco Gori:
Kernel Methods for Minimum Entropy Encoding. ICMLA (1) 2011: 352-357 - [c9]Marco Gori, Stefano Melacci
:
Support Constraint Machines. ICONIP (1) 2011: 28-37 - [c8]Stefano Melacci
, Marco Gori:
Learning with Box Kernels. ICONIP (2) 2011: 519-528 - 2010
- [j1]Stefano Melacci
, Lorenzo Sarti, Marco Maggini, Marco Gori:
A template-based approach to automatic face enhancement. Pattern Anal. Appl. 13(3): 289-300 (2010) - [c7]Marco Gori, Stefano Melacci
:
Learning with Convex Constraints. ICANN (3) 2010: 315-320
2000 – 2009
- 2009
- [c6]Stefano Melacci
, Marco Maggini, Marco Gori:
Semi-supervised Learning with Constraints for Multi-view Object Recognition. ICANN (2) 2009: 653-662 - [c5]Stefano Melacci
, Marco Maggini, Lorenzo Sarti:
Semi-supervised clustering using similarity neural networks. IJCNN 2009: 2065-2072 - 2008
- [c4]Stefano Melacci
, Lorenzo Sarti, Marco Maggini, Monica Bianchini
:
A Neural Network Approach to Similarity Learning. ANNPR 2008: 133-136 - [c3]I. Castelli, Marco Maggini, Stefano Melacci
, Lorenzo Sarti:
Auto Associative Neural Network based Active Shape Models. FG 2008: 1-6 - [c2]Marco Maggini, Stefano Melacci
, Lorenzo Sarti:
Learning Similarity Measures from Pairwise Constraints with Neural Networks. ICANN (2) 2008: 81-90 - 2007
- [c1]Marco Maggini, Stefano Melacci, Lorenzo Sarti:
Representation of Facial Features by Catmull-Rom Splines. CAIP 2007: 408-415
Coauthor Index
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last updated on 2024-07-10 20:43 CEST by the dblp team
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