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ORCIDMarco Gori
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- affiliation: University of Siena
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2020 – today
- 2025
[j108]Rida Ghafoor Hussain
, Kin Choong Yow, Marco Gori:
Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification. IEEE Access 13: 24383-24397 (2025)- [j107]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Continual learning of conjugated visual representations through higher-order motion flows. Neural Networks 187: 107296 (2025) - [i79]Kamyar Zeinalipour, Mehak Mehak, Fatemeh Parsamotamed, Marco Maggini, Marco Gori:
Advancing Student Writing Through Automated Syntax Feedback. CoRR abs/2501.07740 (2025) - [i78]Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini, Marco Gori:
From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords. CoRR abs/2501.11035 (2025) - 2024
- [j106]Marco Gori:
In Giovanni's studio. Intelligenza Artificiale 18(1): 1-2 (2024) - [j105]Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso:
A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning. Intelligenza Artificiale 18(2): 301-311 (2024) - [j104]Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Graph Neural Networks for Graph Drawing. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4668-4681 (2024) - [c180]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. AAAI 2024: 7935-7942 - [c179]Kamyar Zeinalipour, Yusuf Gökberk Keptig, Marco Maggini, Leonardo Rigutini, Marco Gori:
A Turkish Educational Crossword Puzzle Generator. AIED Companion (2) 2024: 226-233 - [c178]Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Alessandro Betti, Marco Gori, Stefano Melacci:
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. ANNPR 2024: 37-48 - [c177]Kamyar Zeinalipour, Achille Fusco, Asya Zanollo, Marco Maggini, Marco Gori:
Harnessing LLMs for Educational Content-Driven Italian Crossword Generation. CLiC-it 2024 - [c176]Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini:
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles. LREC/COLING 2024: 3347-3356 - [c175]Manlio Bacco, Alexander Kocian, Antonino Crivello, Marco Gori, Giovanna Maria Dimitri, Paolo Barsocchi, Gianluca Brunori, Stefano Chessa:
Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project. FedCSIS 2024: 543-548 - [c174]Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Marco Gori, Martin Homola, Stefan Balogh, Ján Mojzis:
Logically Explainable Malware Detection. HI-AI@KDD 2024: 31-42 - [c173]Kamyar Zeinalipour, Yusuf Gökberk Keptig, Marco Maggini, Marco Gori:
Automating Turkish Educational Quiz Generation Using Large Language Models. ISPR (1) 2024: 246-260 - [c172]Giovanna Maria Dimitri, Irene Cappelli, Franco Scarselli, Ada Fort, Marco Gori:
Graph Neural Networks for Missing Data Imputation in Time Series from Meteorological Sensors. MetroXRAINE 2024: 1242-1247 - [c171]Alessandro Betti, Marco Gori:
Nature-Inspired Local Propagation. NeurIPS 2024 - [i77]Alessandro Betti, Marco Gori:
Nature-Inspired Local Propagation. CoRR abs/2402.05959 (2024) - [i76]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) - [i75]Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo Rigutini:
Multitask Kernel-based Learning with Logic Constraints. CoRR abs/2402.10617 (2024) - [i74]Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini:
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles. CoRR abs/2404.06186 (2024) - [i73]Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Martin Homola, Marco Gori, Stefan Balogh, Ján Mojzis:
Explainable Malware Detection with Tailored Logic Explained Networks. CoRR abs/2405.03009 (2024) - [i72]Kamyar Zeinalipour, Yusuf Gökberk Keptig, Marco Maggini, Leonardo Rigutini, Marco Gori:
A Turkish Educational Crossword Puzzle Generator. CoRR abs/2405.07035 (2024) - [i71]Kamyar Zeinalipour, Yusuf Gökberk Keptig, Marco Maggini, Marco Gori:
Automating Turkish Educational Quiz Generation Using Large Language Models. CoRR abs/2406.03397 (2024) - [i70]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) - [i69]Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini, Marco Maggini, Marco Gori:
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses. CoRR abs/2408.06396 (2024) - [i68]Marco Gori:
An Introduction to Cognidynamics. CoRR abs/2408.13112 (2024) - [i67]Jinwei Zhao, Marco Gori, Alessandro Betti, Stefano Melacci, Hongtao Zhang, Jiedong Liu, Xinhong Hei:
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm. CoRR abs/2409.06542 (2024) - [i66]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows. CoRR abs/2409.11441 (2024) - [i65]Stefano Melacci, Alessandro Betti, Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Marco Gori:
A Unified Framework for Neural Computation and Learning Over Time. CoRR abs/2409.12038 (2024) - [i64]Flavio Corradini, Marco Gori, Carlo Lucheroni, Marco Piangerelli, Martina Zannotti:
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification. CoRR abs/2410.22377 (2024) - [i63]Kamyar Zeinalipour, Achille Fusco, Asya Zanollo, Marco Maggini, Marco Gori:
Harnessing LLMs for Educational Content-Driven Italian Crossword Generation. CoRR abs/2411.16936 (2024) - 2023
- [j103]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. Artif. Intell. 314: 103822 (2023) - [j102]Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori, Giuseppe Marra:
T-norms driven loss functions for machine learning. Appl. Intell. 53(15): 18775-18789 (2023) - [j101]Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori:
Local propagation of visual stimuli in focus of attention. Neurocomputing 560: 126775 (2023) - [c170]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 - [c169]Kamyar Zeinalipour, Tommaso Iaquinta, Asya Zanollo, Giovanni Angelini, Leonardo Rigutini, Marco Maggini, Marco Gori:
Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles. CLiC-it 2023 - [c168]Kamyar Zeinalipour, Tommaso Iaquinta, Giovanni Angelini, Leonardo Rigutini, Marco Maggini, Marco Gori:
Building Bridges of Knowledge: Innovating Education with Automated Crossword Generation. ICMLA 2023: 1228-1236 - [c167]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 - [c166]Giovanni Angelini, Marco Ernandes, Tommaso Iaquinta, Caroline Stehlé, Fanny Simões, Kamyar Zeinalipour, Andrea Zugarini, Marco Gori:
The WebCrow French Crossword Solver. INTETAIN 2023: 193-209 - [c165]Stefano Chessa, Giovanna Maria Dimitri, Marco Gori, Alexander Kocian:
WoA: An Infrastructural, Web-Based Approach to Digital Agriculture. ISAmI 2023: 113-122 - [c164]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci:
Logic Explained Networks. NeSy 2023: 432-433 - [c163]Gabriele Ciravegna, Frédéric Precioso, Alessandro Betti, Kevin Mottin, Marco Gori:
Knowledge-Driven Active Learning. ECML/PKDD (1) 2023: 38-54 - [c162]Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini, Marco Gori:
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications. ArabicNLP 2023: 288-301 - [p3]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 - [e5]Artur S. d'Avila Garcez, Tarek R. Besold, Marco Gori, Ernesto Jiménez-Ruiz:
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023. CEUR Workshop Proceedings 3432, CEUR-WS.org 2023 [contents] - [i62]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) - [i61]Marco Gori, Stefano Melacci:
Collectionless Artificial Intelligence. CoRR abs/2309.06938 (2023) - [i60]Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo Rigutini:
Multitask Kernel-based Learning with First-Order Logic Constraints. CoRR abs/2311.03340 (2023) - [i59]Kamyar Zeinalipour, Marco Gori:
Graph Neural Networks for Topological Feature Extraction in ECG Classification. CoRR abs/2311.04228 (2023) - [i58]Giovanni Angelini, Marco Ernandes, Tommaso Iaquinta, Caroline Stehlé, Fanny Simões, Kamyar Zeinalipour, Andrea Zugarini, Marco Gori:
The WebCrow French Crossword Solver. CoRR abs/2311.15626 (2023) - [i57]Kamyar Zeinalipour, Tommaso Iaquinta, Asya Zanollo, Giovanni Angelini, Leonardo Rigutini, Marco Maggini, Marco Gori:
Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles. CoRR abs/2311.15723 (2023) - [i56]Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini, Marco Gori:
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications. CoRR abs/2312.01339 (2023) - [i55]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. CoRR abs/2312.09310 (2023) - 2022
- [b2]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 - [j100]Marco Gori, Alessandro Sperduti, Piero P. Bonissone:
Conference Report on 2022 IEEE World Congress on Computational Intelligence (IEEE WCCI 2022). IEEE Comput. Intell. Mag. 17(4): 8-12 (2022) - [j99]Stefanos Zafeiriou, Michael M. Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Liò, Joan Bruna, Marco Gori:
Guest Editorial: Non-Euclidean Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 723-726 (2022) - [j98]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) - [c161]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-Based Logic Explanations of Neural Networks. AAAI 2022: 6046-6054 - [c160]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 - [c159]Rida Ghafoor Hussain, Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Minimizing Cross Intersections in Graph Drawing via Linear Splines. ANNPR 2022: 28-39 - [c158]Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci:
Continual Learning through Hamilton Equations. CoLLAs 2022: 201-212 - [c157]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 - [c156]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci:
Foveated Neural Computation. ECML/PKDD (3) 2022: 19-35 - [i54]Alessandro Betti, Marco Gori, Stefano Melacci:
Deep Learning to See: Towards New Foundations of Computer Vision. CoRR abs/2206.15351 (2022) - [i53]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) - [i52]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
- [j97]Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori, Stefano Melacci:
Visual Features and Their Own Optical Flow. Frontiers Artif. Intell. 4: 768516 (2021) - [j96]Soumali Roychowdhury, Michelangelo Diligenti, Marco Gori:
Regularizing deep networks with prior knowledge: A constraint-based approach. Knowl. Based Syst. 222: 106989 (2021) - [j95]Lisa Graziani, Marco Gori, Stefano Melacci:
A language modeling-like approach to sketching. Neural Networks 144: 627-638 (2021) - [c155]Nicola Picchiotti, Marco Gori:
Logic Constraints to Feature Importance. AI*IA 2021: 389-402 - [c154]Nicola Picchiotti, Marco Gori:
Clustering-Based Interpretation of Deep ReLU Network. AI*IA 2021: 403-412 - [c153]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 - [c152]Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb:
Discrete and Continuous Deep Residual Learning over Graphs. ICAART (2) 2021: 119-131 - [c151]Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. ICMLA 2021: 1-8 - [c150]Marco Gori:
The Principle of Least Cognitive Action in Vision. ICPRAM 2021: 9 - [c149]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. IJCNN 2021: 1-8 - [p2]Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, Giuseppe Marra:
A Constraint-Based Approach to Learning and Reasoning. Neuro-Symbolic Artificial Intelligence 2021: 192-213 - [i51]Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci:
Entropy-based Logic Explanations of Neural Networks. CoRR abs/2106.06804 (2021) - [i50]Simone Marullo, Matteo Tiezzi, Marco Gori, Stefano Melacci:
Friendly Training: Neural Networks Can Adapt Data To Make Learning Easier. CoRR abs/2106.10974 (2021) - [i49]Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci:
Logic Explained Networks. CoRR abs/2108.05149 (2021) - [i48]Enrico Meloni, Matteo Tiezzi, Luca Pasqualini, Marco Gori, Stefano Melacci:
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. CoRR abs/2109.08465 (2021) - [i47]Matteo Tiezzi, Gabriele Ciravegna, Marco Gori:
Graph Neural Networks for Graph Drawing. CoRR abs/2109.10061 (2021) - [i46]Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli:
Can machines learn to see without visual databases? CoRR abs/2110.05973 (2021) - [i45]Nicola Picchiotti, Marco Gori:
Clustering-Based Interpretation of Deep ReLU Network. CoRR abs/2110.06593 (2021) - [i44]Nicola Picchiotti, Marco Gori:
Logic Constraints to Feature Importances. CoRR abs/2110.06596 (2021) - [i43]Gabriele Ciravegna, Frédéric Precioso, Marco Gori:
Knowledge-driven Active Learning. CoRR abs/2110.08265 (2021) - [i42]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
- [j94]Marco Gori, Ramón López de Mántaras, Carlo Strapparava:
Festschrift in honor of Oliviero Stock - - Preface. Ann. Math. Artif. Intell. 88(5-6): 401-403 (2020) - [j93]Alessandro Betti, Marco Gori, Stefano Melacci:
Learning visual features under motion invariance. Neural Networks 126: 275-299 (2020) - [j92]Dario Zanca, Stefano Melacci, Marco Gori:
Gravitational Laws of Focus of Attention. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 2983-2995 (2020) - [j91]Lucia Maddalena, Marco Gori, Sankar K. Pal:
Pattern recognition and beyond: Alfredo Petrosino's scientific results. Pattern Recognit. Lett. 138: 659-669 (2020) - [j90]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) - [c148]Gabriele Ciravegna, Francesco Giannini, Stefano Melacci, Marco Maggini, Marco Gori:
A Constraint-Based Approach to Learning and Explanation. AAAI 2020: 3658-3665 - [c147]Giuseppe Marra, Francesco Giannini, Lapo Faggi, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Inference in relational neural machines. NeHuAI@ECAI 2020: 71-74 - [c146]Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. ECAI 2020: 1340-1347 - [c145]Matteo Tiezzi, Giuseppe Marra, Stefano Melacci, Marco Maggini, Marco Gori:
A Lagrangian Approach to Information Propagation in Graph Neural Networks. ECAI 2020: 1539-1546 - [c144]Lisa Graziani, Stefano Melacci, Marco Gori:
Generating Facial Expressions Associated with Text. ICANN (1) 2020: 621-632 - [c143]Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. ICPR 2020: 8906-8913 - [c142]Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci:
Human-Driven FOL Explanations of Deep Learning. IJCAI 2020: 2234-2240 - [c141]Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. IJCAI 2020: 4877-4884 - [c140]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. IJCNN 2020: 1-8 - [c139]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Networks. IJCNN 2020: 1-8 - [c138]Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. IJCNN 2020: 1-8 - [c137]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. NeurIPS 2020 - [p1]Alessandro Betti, Marco Gori:
Trees in the Real Field. Neural Approaches to Dynamics of Signal Exchanges 2020: 177-187 - [i41]Giuseppe Marra, Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini:
Relational Neural Machines. CoRR abs/2002.02193 (2020) - [i40]Dario Zanca, Stefano Melacci, Marco Gori:
Toward Improving the Evaluation of Visual Attention Models: a Crowdsourcing Approach. CoRR abs/2002.04407 (2020) - [i39]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) - [i38]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Network. CoRR abs/2002.07720 (2020) - [i37]Luís C. Lamb, Artur S. d'Avila Garcez, Marco Gori, Marcelo O. R. Prates, Pedro H. C. Avelar, Moshe Y. Vardi:
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective. CoRR abs/2003.00330 (2020) - [i36]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) - [i35]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. CoRR abs/2006.09229 (2020) - [i34]Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori:
Wave Propagation of Visual Stimuli in Focus of Attention. CoRR abs/2006.11035 (2020) - [i33]Enrico Meloni, Luca Pasqualini, Matteo Tiezzi, Marco Gori, Stefano Melacci:
SAILenv: Learning in Virtual Visual Environments Made Simple. CoRR abs/2007.08224 (2020) - [i32]Marco Gori:
An Overview on the Web of Clinical Data. CoRR abs/2008.07432 (2020) - [i31]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. CoRR abs/2009.00296 (2020) - [i30]Dario Zanca, Marco Gori, Stefano Melacci, Alessandra Rufa:
Gravitational Models Explain Shifts on Human Visual Attention. CoRR abs/2009.06963 (2020) - [i29]Andrea Zugarini, Enrico Meloni, Alessandro Betti, Andrea Panizza, Marco Corneli, Marco Gori:
An Optimal Control Approach to Learning in SIDARTHE Epidemic model. CoRR abs/2010.14878 (2020)
2010 – 2019
- 2019
- [j89]Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran:
Neural-symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. FLAP 6(4): 611-632 (2019) - [j88]Lisa Graziani, Stefano Melacci, Marco Gori:
Coherence constraints in facial expression recognition. Intelligenza Artificiale 13(1): 79-92 (2019) - [j87]Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
On a Convex Logic Fragment for Learning and Reasoning. IEEE Trans. Fuzzy Syst. 27(7): 1407-1416 (2019) - [c136]Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Activation Functions by Means of Kernel Based Neural Networks. AI*IA 2019: 418-430 - [c135]Lisa Graziani, Stefano Melacci, Marco Gori:
Jointly Learning to Detect Emotions and Predict Facebook Reactions. ICANN (4) 2019: 185-197 - [c134]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. ICANN (3) 2019: 565-577 - [c133]Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. IJCAI 2019: 2009-2015 - [c132]Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the Relation Between Loss Functions and T-Norms. ILP 2019: 36-45 - [c131]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
LYRICS: A General Interface Layer to Integrate Logic Inference and Deep Learning. ECML/PKDD (2) 2019: 283-298 - [c130]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Integrating Learning and Reasoning with Deep Logic Models. ECML/PKDD (2) 2019: 517-532 - [i28]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Integrating Learning and Reasoning with Deep Logic Models. CoRR abs/1901.04195 (2019) - [i27]Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates, Marco Gori, Luís C. Lamb:
Typed Graph Networks. CoRR abs/1901.07984 (2019) - [i26]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
LYRICS: a General Interface Layer to Integrate AI and Deep Learning. CoRR abs/1903.07534 (2019) - [i25]Artur S. d'Avila Garcez, Marco Gori, Luís C. Lamb, Luciano Serafini, Michael Spranger, Son N. Tran:
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. CoRR abs/1905.06088 (2019) - [i24]Alessandro Betti, Marco Gori:
Least Action Principles and Well-Posed Learning Problems. CoRR abs/1907.02517 (2019) - [i23]Alessandro Betti, Marco Gori:
Spatiotemporal Local Propagation. CoRR abs/1907.05106 (2019) - [i22]Alessandro Betti, Marco Gori:
On the Role of Time in Learning. CoRR abs/1907.06198 (2019) - [i21]Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori:
On the relation between Loss Functions and T-Norms. CoRR abs/1907.07904 (2019) - [i20]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Maggini, Marco Gori:
Learning and T-Norms Theory. CoRR abs/1907.11468 (2019) - [i19]Alessandro Betti, Marco Gori, Stefano Melacci:
Learning Visual Features Under Motion Invariance. CoRR abs/1909.00350 (2019) - [i18]Lisa Graziani, Stefano Melacci, Marco Gori:
Jointly Learning to Detect Emotions and Predict Facebook Reactions. CoRR abs/1909.10779 (2019) - [i17]Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luís C. Lamb:
Discrete and Continuous Deep Residual Learning Over Graphs. CoRR abs/1911.09554 (2019) - [i16]Alessandro Betti, Marco Gori:
Backprop Diffusion is Biologically Plausible. CoRR abs/1912.04635 (2019) - 2018
- [c129]Soumali Roychowdhury, Michelangelo Diligenti, Marco Gori:
Image Classification Using Deep Learning and Prior Knowledge. AAAI Workshops 2018: 336-343 - [c128]Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Characterization of the Convex Łukasiewicz Fragment for Learning From Constraints. AAAI 2018: 3015-3020 - [c127]Lisa Graziani, Stefano Melacci, Marco Gori:
The Role of Coherence in Facial Expression Recognition. AI*IA 2018: 320-333 - [c126]Marco Gori:
What's Wrong with Computer Vision? ANNPR 2018: 3-16 - [c125]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 - [c124]Alessandro Betti, Marco Gori, Giuseppe Marra:
A Constrained-Based Approach to Machine Learning. SITIS 2018: 737-746 - [i15]Alessandro Betti, Marco Gori:
Convolutional Networks in Visual Environments. CoRR abs/1801.07110 (2018) - [i14]Giovanni Bellettini, Alessandro Betti, Marco Gori:
Generalization in quasi-periodic environments. CoRR abs/1807.05343 (2018) - [i13]Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. CoRR abs/1807.06302 (2018) - [i12]Alessandro Betti, Marco Gori:
Trees in the Real Field. CoRR abs/1807.06440 (2018) - [i11]Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. CoRR abs/1807.06450 (2018) - [i10]Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Marco Gori:
Constraint-Based Visual Generation. CoRR abs/1807.09202 (2018) - [i9]Dario Zanca, Marco Gori:
Visual Attention driven by Convolutional Features. CoRR abs/1807.10576 (2018) - [i8]Alessandro Betti, Marco Gori, Giuseppe Marra:
Backpropagation and Biological Plausibility. CoRR abs/1808.06934 (2018) - [i7]Alessandro Betti, Marco Gori, Stefano Melacci:
Cognitive Action Laws: The Case of Visual Features. CoRR abs/1808.09162 (2018) - [i6]Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
On a Convex Logic Fragment for Learning and Reasoning. CoRR abs/1809.06778 (2018) - [i5]Lisa Graziani, Stefano Melacci, Marco Gori:
Coherence Constraints in Facial Expression Recognition. CoRR abs/1810.10326 (2018) - 2017
- [j86]Michelangelo Diligenti, Marco Gori, Claudio Saccà:
Semantic-based regularization for learning and inference. Artif. Intell. 244: 143-165 (2017) - [j85]Marco Maratea, Giovanni Adorni, Stefano Cagnoni, Marco Gori:
Special issue: Selected papers from the 15th International Conference of the Italian Association for Artificial Intelligence. Intelligenza Artificiale 11(1): 3-4 (2017) - [j84]Giorgio Gnecco, Alberto Bemporad, Marco Gori, Marcello Sanguineti:
LQG Online Learning. Neural Comput. 29(8): 2203-2291 (2017) - [c123]Michelangelo Diligenti, Soumali Roychowdhury, Marco Gori:
Integrating Prior Knowledge into Deep Learning. ICMLA 2017: 920-923 - [c122]Alessandro Betti, Marco Gori:
On the Role of Time in Learning. IIH-MSP (1) 2017: 147-153 - [c121]Dario Zanca, Marco Gori:
Variational Laws of Visual Attention for Dynamic Scenes. NIPS 2017: 3823-3832 - [c120]Francesco Giannini, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Learning Łukasiewicz Logic Fragments by Quadratic Programming. ECML/PKDD (1) 2017: 410-426 - [c119]Marco Gori:
Learning Semantic-based Structures from Textual Sources. WEBIST 2017: 5 - [i4]Marco Gori, Marco Maggini, Alessandro Rossi:
Collapsing of dimensionality. CoRR abs/1701.00831 (2017) - [i3]Marco Gori, Marco Maggini, Alessandro Rossi:
The principle of cognitive action - Preliminary experimental analysis. CoRR abs/1701.02377 (2017) - 2016
- [j83]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Semantic video labeling by developmental visual agents. Comput. Vis. Image Underst. 146: 9-26 (2016) - [j82]Marco Gori, Marco Maggini, Alessandro Rossi:
Neural network training as a dissipative process. Neural Networks 81: 72-80 (2016) - [j81]Alessandro Betti, Marco Gori:
The principle of least cognitive action. Theor. Comput. Sci. 633: 83-99 (2016) - [j80]Michelangelo Diligenti, Marco Gori, Claudio Saccà:
Learning in Variable-Dimensional Spaces. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1322-1332 (2016) - [c118]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning with hard constraints as a limit case of learning with soft constraints. ESANN 2016 - [c117]Michelangelo Diligenti, Marco Gori, Vincenzo Scoca:
Learning Efficiently in Semantic Based Regularization. ECML/PKDD (2) 2016: 33-46 - [e4]Giovanni Adorni, Stefano Cagnoni, Marco Gori, Marco Maratea:
AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 - December 1, 2016, Proceedings. Lecture Notes in Computer Science 10037, Springer 2016, ISBN 978-3-319-49129-5 [contents] - 2015
- [j79]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Foundations of Support Constraint Machines. Neural Comput. 27(2): 388-480 (2015) - [j78]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) - [c116]Giorgio Gnecco, Alberto Bemporad, Marco Gori, Rita Morisi, Marcello Sanguineti:
Online learning as an LQG optimal control problem with random matrices. ECC 2015: 2482-2489 - [c115]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci, Marcello Pelillo:
En Plein Air Visual Agents. ICIAP (2) 2015: 697-709 - 2014
- [j77]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
A theoretical framework for supervised learning from regions. Neurocomputing 129: 25-32 (2014) - [c114]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
On-Line Video Motion Estimation by Invariant Receptive Inputs. CVPR Workshops 2014: 726-731 - [i2]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Learning to see like children: proof of concept. CoRR abs/1408.2478 (2014) - [i1]Artur S. d'Avila Garcez, Marco Gori, Pascal Hitzler, Luís C. Lamb:
Neural-Symbolic Learning and Reasoning (Dagstuhl Seminar 14381). Dagstuhl Reports 4(9): 50-84 (2014) - 2013
- [j76]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) - [j75]Giorgio Gnecco, Marco Gori, Marcello Sanguineti:
Learning with Boundary Conditions. Neural Comput. 25(4): 1029-1106 (2013) - [j74]Stefano Melacci, Marco Gori:
Learning with Box Kernels. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2680-2692 (2013) - [j73]Marco Gori, Stefano Melacci:
Constraint Verification With Kernel Machines. IEEE Trans. Neural Networks Learn. Syst. 24(5): 825-831 (2013) - [c113]Salvatore Frandina, Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci:
Variational Foundations of Online Backpropagation. ICANN 2013: 82-89 - [c112]Giorgio Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti:
Learning with Hard Constraints. ICANN 2013: 146-153 - [c111]Stefano Melacci, Marco Lippi, Marco Gori, Marco Maggini:
Information-Based Learning of Deep Architectures for Feature Extraction. ICIAP (2) 2013: 101-110 - [c110]Claudio Saccà, Michelangelo Diligenti, Marco Gori:
Collective Classification Using Semantic Based Regularization. ICMLA (1) 2013: 283-286 - [c109]Claudio Saccà, Michelangelo Diligenti, Marco Gori:
Graph and Manifold Co-regularization. ICMLA (1) 2013: 287-290 - [c108]Claudio Saccà, Michelangelo Diligenti, Marco Gori:
Experimental Guidelines for Semantic-Based Regularization. WIRN 2013: 15-23 - 2012
- [j72]Leonardo Rigutini, Michelangelo Diligenti, Marco Maggini, Marco Gori:
Automatic Generation of Crossword Puzzles. Int. J. Artif. Intell. Tools 21(3) (2012) - [j71]Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo Rigutini:
Bridging logic and kernel machines. Mach. Learn. 86(1): 57-88 (2012) - [j70]Stefano Melacci, Marco Gori:
Unsupervised Learning by Minimal Entropy Encoding. IEEE Trans. Neural Networks Learn. Syst. 23(12): 1849-1861 (2012) - [c107]Marco Gori, Stefano Melacci, Marco Lippi, Marco Maggini:
Information Theoretic Learning for Pixel-Based Visual Agents. ECCV (6) 2012: 864-875 - [c106]Marco Lippi, Lorenzo Menconi, Marco Gori:
Balancing Recall and Precision in Stock Market Predictors Using Support Vector Machines. WIRN 2012: 51-58 - 2011
- [j69]Lorenzo Menconi, Marco Gori, Marco Lippi:
Computational models for short-term prediction of the stock market. Intelligenza Artificiale 5(2): 217-227 (2011) - [j68]Michelangelo Diligenti, Marco Gori, Marco Maggini:
A unified representation of web logs for mining applications. Inf. Retr. 14(3): 215-236 (2011) - [j67]Werner Uwents, Gabriele Monfardini, Hendrik Blockeel, Marco Gori, Franco Scarselli:
Neural networks for relational learning: an experimental comparison. Mach. Learn. 82(3): 315-349 (2011) - [c105]Stefano Melacci, Marco Gori:
Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints. AI*IA 2011: 21-32 - [c104]Michelangelo Diligenti, Marco Gori, Marco Maggini:
Learning to Tag Text from Rules and Examples. AI*IA 2011: 45-56 - [c103]Claudio Saccà, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Learning to Tag from Logic Constraints in Hyperlinked Environments. ICMLA (2) 2011: 251-256 - [c102]Stefano Melacci, Marco Gori:
Kernel Methods for Minimum Entropy Encoding. ICMLA (1) 2011: 352-357 - [c101]Marco Gori, Stefano Melacci:
Support Constraint Machines. ICONIP (1) 2011: 28-37 - [c100]Stefano Melacci, Marco Gori:
Learning with Box Kernels. ICONIP (2) 2011: 519-528 - [c99]Michelangelo Diligenti, Marco Gori, Marco Maggini:
Towards Developmental AI: The paradox of Ravenous Intelligent Agents. NeSy 2011: 25-27 - [c98]Marco Gori:
Learning from Constraints. ECML/PKDD (1) 2011: 6 - [c97]Marco Gori:
On the time complexity of regularized least square. WIRN 2011: 85-96 - 2010
- [j66]Marco Gori, Barbara Hammer, Pascal Hitzler, Guenther Palm:
Perspectives and challenges for recurrent neural network training. Log. J. IGPL 18(5): 617-619 (2010) - [j65]Stefano Melacci, Lorenzo Sarti, Marco Maggini, Marco Gori:
A template-based approach to automatic face enhancement. Pattern Anal. Appl. 13(3): 289-300 (2010) - [c96]Antonino Freno, Edmondo Trentin, Marco Gori:
Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation. ECAI 2010: 427-432 - [c95]Michelangelo Diligenti, Marco Gori, Marco Maggini, Leonardo Rigutini:
Multitask Kernel-based Learning with Logic Constraints. ECAI 2010: 433-438 - [c94]Marco Gori, Stefano Melacci:
Learning with Convex Constraints. ICANN (3) 2010: 315-320
2000 – 2009
- 2009
- [j64]Antonino Freno, Edmondo Trentin, Marco Gori:
A hybrid random field model for scalable statistical learning. Neural Networks 22(5-6): 603-613 (2009) - [j63]Marco Gori:
Semantic-based regularization and Piaget's cognitive stages. Neural Networks 22(7): 1035-1036 (2009) - [j62]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
The Graph Neural Network Model. IEEE Trans. Neural Networks 20(1): 61-80 (2009) - [j61]Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini:
Computational Capabilities of Graph Neural Networks. IEEE Trans. Neural Networks 20(1): 81-102 (2009) - [c93]Stefano Melacci, Marco Maggini, Marco Gori:
Semi-supervised Learning with Constraints for Multi-view Object Recognition. ICANN (2) 2009: 653-662 - [c92]Antonino Freno, Edmondo Trentin, Marco Gori:
Scalable statistical learning: A modular bayesian/markov network approach. IJCNN 2009: 890-897 - [c91]Antonino Freno, Edmondo Trentin, Marco Gori:
Scalable pseudo-likelihood estimation in hybrid random fields. KDD 2009: 319-328 - [c90]Michelangelo Diligenti, Marco Gori, Marco Maggini:
Users, Queries and Documents: A Unified Representation for Web Mining. Web Intelligence 2009: 238-244 - 2008
- [j60]Marco Ernandes, Giovanni Angelini, Marco Gori:
A Web-Based Agent Challenges Human Experts on Crosswords. AI Mag. 29(1): 77-90 (2008) - [c89]Leonardo Rigutini, Michelangelo Diligenti, Marco Maggini, Marco Gori:
A Fully Automatic Crossword Generator. ICMLA 2008: 362-367 - [c88]Marco Gori:
Diffusion Learning and Regularization. WIRN 2008: 127-137 - 2007
- [c87]Marco Gori, Klaus Meer:
Some Aspects of a Complexity Theory for Continuous Time Systems. CiE 2007: 554-565 - [c86]Marco Gori:
Learning in Hyperlinked Environments. ECIR 2007: 3 - [c85]Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli:
An Adaptive Context-Based Algorithm for Term Weighting: Application to Single-Word Question Answering. IJCAI 2007: 2748-2753 - [c84]Marco Gori, Augusto Pucci:
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines. IJCAI 2007: 2766-2771 - 2006
- [b1]Ian H. Witten, Marco Gori, Teresa Numerico:
Web Dragons: Inside the Myths of Search Engine Technology. Morgan Kaufmann 2006, ISBN 0-12-370609-2, pp. I-XXI, 1-261 - [j59]Marco Gori, Oliviero Stock:
Artificial Intelligence and Entertainment. Intelligenza Artificiale 3(1-2): 56-62 (2006) - [j58]Edmondo Trentin, Marco Gori:
Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer. Neurocomputing 70(1-3): 398-408 (2006) - [j57]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive processing of cyclic graphs. IEEE Trans. Neural Networks 17(1): 10-18 (2006) - [c83]Marco Gori, Marco Ernandes, Giovanni Angelini:
Cracking Crosswords: The Computer Challenge. Reasoning, Action and Interaction in AI Theories and Systems 2006: 265-286 - [c82]Gabriele Monfardini, Vincenzo Di Massa, Franco Scarselli, Marco Gori:
Graph Neural Networks for Object Localization. ECAI 2006: 665- - [c81]Marco Ernandes, Giovanni Angelini, Marco Gori, Leonardo Rigutini, Franco Scarselli:
Adaptive Context-Based Term (Re)Weighting: An Experiment on Single-Word Question Answering. ECAI 2006: 819-820 - [c80]Isaac G. Councill, C. Lee Giles, Ernesto Di Iorio, Marco Gori, Marco Maggini, Augusto Pucci:
Towards Next Generation CiteSeer: A Flexible Architecture for Digital Library Deployment. ECDL 2006: 111-122 - [c79]Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sarti, Franco Scarselli, Marco Maggini, Marco Gori:
A Comparison between Recursive Neural Networks and Graph Neural Networks. IJCNN 2006: 778-785 - [c78]Sweah Liang Yong, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Marco Gori:
Document Mining Using Graph Neural Network. INEX 2006: 458-472 - [c77]Milly Kc, Markus Hagenbuchner, Ah Chung Tsoi, Franco Scarselli, Alessandro Sperduti, Marco Gori:
XML Document Mining Using Contextual Self-organizing Maps for Structures. INEX 2006: 510-524 - [c76]Augusto Pucci, Marco Gori, Marco Maggini:
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines. WEBKDD 2006: 127-146 - [c75]Marco Gori, Augusto Pucci:
Research Paper Recommender Systems: A Random-Walk Based Approach. Web Intelligence 2006: 778-781 - 2005
- [j56]Marco Gori, Ian H. Witten:
The bubble of web visibility. Commun. ACM 48(3): 115-117 (2005) - [j55]Marco Gori, Alessandro Sperduti:
The loading problem for recursive neural networks. Neural Networks 18(8): 1064-1079 (2005) - [j54]Simone Marinai, Marco Gori, Giovanni Soda:
Artificial Neural Networks for Document Analysis and Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 27(1): 23-35 (2005) - [j53]Marco Gori, Marco Maggini, Lorenzo Sarti:
Exact and Approximate Graph Matching Using Random Walks. IEEE Trans. Pattern Anal. Mach. Intell. 27(7): 1100-1111 (2005) - [j52]Simone Marinai, Marco Gori:
Preface. Pattern Recognit. Lett. 26(12): 1793-1794 (2005) - [j51]Monica Bianchini, Marco Gori, Franco Scarselli:
Inside PageRank. ACM Trans. Internet Techn. 5(1): 92-128 (2005) - [c74]Marco Ernandes, Giovanni Angelini, Marco Gori:
WebCrow: A Web-Based System for Crossword Solving. AAAI 2005: 1412-1417 - [c73]Giovanni Angelini, Marco Ernandes, Marco Gori:
Solving Italian Crosswords Using the Web. AI*IA 2005: 393-405 - [c72]Ah Chung Tsoi, Franco Scarselli, Marco Gori, Markus Hagenbuchner, Sweah Liang Yong:
A Neural Network Approach to Web Graph Processing. APWeb 2005: 27-38 - [c71]Marco Gori, Marco Maggini, Lorenzo Sarti:
The RW2 Algorithm for Exact Graph Matching. ICAPR (1) 2005: 81-88 - [c70]Michelangelo Diligenti, Marco Gori, Marco Maggini:
Learning Web Page Scores by Error Back-Propagation. IJCAI 2005: 684-689 - [c69]Marco Gori, Gabriele Monfardini, Franco Scarselli:
A new model for learning in graph domains. IJCNN 2005: 729-734 - [c68]Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi, Francesca Trentini, Franco Scarselli, Marco Gori:
Clustering XML Documents Using Self-organizing Maps for Structures. INEX 2005: 481-496 - [c67]Giovanni Angelini, Marco Ernandes, Marco Gori:
Webcrow: A Web-Based Crosswords Solver. INTETAIN 2005: 295-298 - [c66]Edmondo Trentin, Marco Gori:
Feature Normalization via ANN/HMM Inversion for Speech Recognition Under Noisy Conditions. MMSP 2005: 1-4 - [c65]Franco Scarselli, Sweah Liang Yong, Marco Gori, Markus Hagenbuchner, Ah Chung Tsoi, Marco Maggini:
Graph Neural Networks for Ranking Web Pages. Web Intelligence 2005: 666-672 - [c64]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive Neural Networks and Graphs: Dealing with Cycles. WIRN/NAIS 2005: 38-43 - 2004
- [j50]Michelangelo Diligenti, Marco Gori, Marco Maggini:
Neural computation, social networks, and topological spectra. Theor. Comput. Sci. 320(1): 71-87 (2004) - [j49]Michelangelo Diligenti, Marco Gori, Marco Maggini:
A Unified Probabilistic Framework for Web Page Scoring Systems. IEEE Trans. Knowl. Data Eng. 16(1): 4-16 (2004) - [j48]Marco Gori, Alfredo Petrosino:
Encoding nondeterministic fuzzy tree automata into recursive neural networks. IEEE Trans. Neural Networks 15(6): 1435-1449 (2004) - [c63]Marco Ernandes, Marco Gori:
Likely-Admissible and Sub-Symbolic Heuristics. ECAI 2004: 613-617 - [c62]Marco Gori, Marco Maggini, Lorenzo Sarti:
Graph matching using Random Walks. ICPR (3) 2004: 394-397 - [c61]Franco Scarselli, Ah Chung Tsoi, Marco Gori, Markus Hagenbuchner:
Graphical-Based Learning Environments for Pattern Recognition. SSPR/SPR 2004: 42-56 - [c60]Nicola Baldini, Marco Gori, Marco Maggini:
MumbleSearch Extraction of High Quality Web information for SME. Web Intelligence 2004: 757-760 - 2003
- [j47]Marco Gori, Teresa Numerico:
Social networks and web minorities. Cogn. Syst. Res. 4(4): 355-364 (2003) - [j46]Francesca Cesarini, Enrico Francesconi, Marco Gori, Giovanni Soda:
Analysis and understanding of multi-class invoices. Int. J. Document Anal. Recognit. 6(2): 102-114 (2003) - [j45]Milos Kovacevic, Michelangelo Diligenti, Marco Gori, Veljko M. Milutinovic:
Searching for web information more efficiently using presentational layout analysis. Int. J. Electron. Bus. 1(3): 310-326 (2003) - [j44]Michelangelo Diligenti, Paolo Frasconi, Marco Gori:
Hidden Tree Markov Models for Document Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 519-523 (2003) - [j43]Marco Gori, Marco Maggini, Simone Marinai, Jianqing Sheng, Giovanni Soda:
Edge-backpropagation for noisy logo recognition. Pattern Recognit. 36(1): 103-110 (2003) - [j42]Markus Hagenbuchner, Marco Gori, Horst Bunke, Ah Chung Tsoi, Christophe Irniger:
Using attributed plex grammars for the generation of image and graph databases. Pattern Recognit. Lett. 24(8): 1081-1087 (2003) - [j41]Ciro de Mauro, Michelangelo Diligenti, Marco Gori, Marco Maggini:
Similarity learning for graph-based image representations. Pattern Recognit. Lett. 24(8): 1115-1122 (2003) - [j40]Patrizia Bonaventura, Marco Gori, Marco Maggini, Franco Scarselli, Jianqing Sheng:
A Hybrid Model for the Prediction of the Linguistic Origin of Surnames. IEEE Trans. Knowl. Data Eng. 15(3): 760-763 (2003) - [j39]Edmondo Trentin, Marco Gori:
Robust combination of neural networks and hidden Markov models for speech recognition. IEEE Trans. Neural Networks 14(6): 1519-1531 (2003) - [c59]Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
BackPropagation through Cyclic Structures. AI*IA 2003: 118-129 - [c58]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi:
An introduction to learning in web domains. ESANN 2003: 1-8 - [c57]Michelangelo Diligenti, Marco Gori, Marco Maggini:
A Learning Algorithm for Web Page Scoring Systems. IJCAI 2003: 575-580 - [c56]Marco Gori, Marco Maggini, Lorenzo Sarti:
A recursive neural network model for processing directed acyclic graphs with labeled edges. IJCNN 2003: 1351-1355 - [c55]Edmondo Trentin, Marco Matassoni, Marco Gori:
Evaluation on the Aurora 2 database of acoustic models that are less noise-sensitive. INTERSPEECH 2003: 1805-1808 - [c54]Ernesto Di Iorio, Michelangelo Diligenti, Marco Gori, Marco Maggini, Augusto Pucci:
Detecting Near-Replicas on the Web by Content and Hyperlink Analysis. Web Intelligence 2003: 249-255 - [c53]Monica Bianchini, Marco Gori, Franco Scarselli:
PageRank and Web Communities. Web Intelligence 2003: 365-371 - [c52]Monica Bianchini, Marco Gori, Paolo Mazzoni, Lorenzo Sarti, Franco Scarselli:
Face Localization with Recursive Neural Networks. WIRN 2003: 99-105 - [c51]Ernesto Di Iorio, Michelangelo Diligenti, Marco Gori, Marco Maggini, Augusto Pucci:
Detecting Near-replicas on the Web by Content and Hyperlink Analysis. WWW (Posters) 2003 - [c50]Ah Chung Tsoi, Daniele Frosali, Marco Gori, Markus Hagenbuchner, Franco Scarselli:
A Simple Focused Crawler. WWW (Posters) 2003 - 2002
- [j38]Paolo Frasconi, Marco Gori, Franz J. Kurfess, Alessandro Sperduti:
Special issue on integration of symbolic and connectionist systems. Cogn. Syst. Res. 3(2): 121-123 (2002) - [j37]Marco Gori, Klaus Meer:
A Step towards a Complexity Theory for Analog Systems. Math. Log. Q. 48(S1): 45-58 (2002) - [c49]Milos Kovacevic, Michelangelo Diligenti, Marco Gori, Veljko M. Milutinovic:
Recognition of Common Areas in a Web Page Using a Visualization Approach. AIMSA 2002: 203-212 - [c48]Antonella Bua, Marco Gori, Fabrizio Santini:
Recursive Neural Networks Applied to Discourse Representation Theory. ICANN 2002: 290-295 - [c47]Milos Kovacevic, Michelangelo Diligenti, Marco Gori, Veljko M. Milutinovic:
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification. ICDM 2002: 250-257 - [c46]Michelangelo Diligenti, Marco Gori, Marco Maggini:
Web page scoring systems for horizontal and vertical search. WWW 2002: 508-516 - 2001
- [j36]Enrico Francesconi, Marco Gori, Simone Marinai, Giovanni Soda:
A serial combination of connectionist-based classifiers for OCR. Int. J. Document Anal. Recognit. 3(3): 160-168 (2001) - [j35]Enrico Appiani, Francesca Cesarini, Anna Maria Colla, Michelangelo Diligenti, Marco Gori, Simone Marinai, Giovanni Soda:
Automatic document classification and indexing in high-volume applications. Int. J. Document Anal. Recognit. 4(2): 69-83 (2001) - [j34]Edmondo Trentin, Marco Gori:
A survey of hybrid ANN/HMM models for automatic speech recognition. Neurocomputing 37(1-4): 91-126 (2001) - [j33]Michelangelo Diligenti, Marco Gori, Marco Maggini, Enrico Martinelli:
Adaptive graphical pattern recognition for the classification of company logos. Pattern Recognit. 34(10): 2049-2061 (2001) - [j32]Monica Bianchini, Stefano Fanelli, Marco Gori:
Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations. IEEE Trans. Computers 50(7): 689-698 (2001) - [j31]Monica Bianchini, Marco Gori:
Theoretical properties of recursive neural networks with linear neurons. IEEE Trans. Neural Networks 12(5): 953-967 (2001) - [j30]Monica Bianchini, Marco Gori, Franco Scarselli:
Processing directed acyclic graphs with recursive neural networks. IEEE Trans. Neural Networks 12(6): 1464-1470 (2001) - [c45]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli:
Searching the Web: learning based techniques. ESANN 2001: 257-264 - [c44]Edmondo Trentin, Marco Gori:
Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model. ICANN 2001: 577-582 - [c43]Michelangelo Diligenti, Paolo Frasconi, Marco Gori:
Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR 2001: 147-156 - [c42]Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli:
Classification of HTML Documents by Hidden Tree-Markov Models. ICDAR 2001: 849-853 - [c41]Ciro de Mauro, Marco Gori, Marco Maggini:
APEX An Adaptive Visual Information Retrieval System. ICDAR 2001: 898-902 - [c40]Edmondo Trentin, Marco Gori:
Toward noise-tolerant acoustic models. INTERSPEECH 2001: 889-892 - [c39]Jean-Cédric Chappelier, Marco Gori, Alain Grumbach:
Time in Connectionist Models. Sequence Learning 2001: 105-134 - [c38]Monica Bianchini, Marco Gori, Franco Scarselli:
Recursive Processing of Directed Acyclic Graphs. WIRN 2001: 96-101 - [e3]Paolo Frasconi, Marco Gori, Alessandro Sperduti:
Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. IEEE Trans. Knowl. Data Eng. 13(2): 145-147 (2001) - 2000
- [j29]Piero Cosi, Paolo Frasconi, Marco Gori, Luca Lastrucci, Giovanni Soda:
Competitive radial basis functions training for phone classification. Neurocomputing 34(1-4): 117-129 (2000) - [j28]Francesca Cesarini, Enrico Francesconi, Marco Gori:
Using Physical and Logical Constraints for Invoice Understanding. Pattern Anal. Appl. 3(2): 182-195 (2000) - [c37]Marco Gori, Marco Maggini, Enrico Martinelli, Franco Scarselli:
Learning User Profiles in NAUTILUS. AH 2000: 323-326 - [c36]Marco Gori, Paolo Frasconi, Alessandro Sperduti:
Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI 2000: 301-305 - [c35]Monica Bianchini, Marco Gori, Franco Scarselli:
Computational capabilities of linear recursive networks. KES 2000: 462-465 - [c34]Giovanni Adorni, Stefano Cagnoni, Marco Gori:
Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches. SSPR/SPR 2000: 17-27 - [c33]Michelangelo Diligenti, Frans Coetzee, Steve Lawrence, C. Lee Giles, Marco Gori:
Focused Crawling Using Context Graphs. VLDB 2000: 527-534
1990 – 1999
- 1999
- [j27]Giovanni Adorni, Marco Gori, Monica Mordonini:
Just-in-time landmarks recognition. Real Time Imaging 5(2): 95-107 (1999) - [j26]Paolo Frasconi, Marco Gori, Giovanni Soda:
Data Categorization Using Decision Trellises. IEEE Trans. Knowl. Data Eng. 11(5): 697-712 (1999) - [j25]Marco Gori, Andreas Küchler, Alessandro Sperduti:
On the implementation of frontier-to-root tree automata in recursive neural networks. IEEE Trans. Neural Networks 10(6): 1305-1314 (1999) - [c32]Marco Gori:
Learning in structured domains. ESANN 1999: 27-32 - [c31]Mikel L. Forcada, Antonio M. Corbí-Bellot, Marco Gori, Marco Maggini:
Neural learning of approximate simple regular languages. ESANN 1999: 57-62 - [c30]Francesca Cesarini, Enrico Francesconi, Marco Gori, Giovanni Soda:
A Two Level Knowledge Approach for Understanding Documents of a Multi-Class Domain. ICDAR 1999: 135-138 - [c29]Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda:
Structured Document Segmentation and Representation by the Modified X-Y tree. ICDAR 1999: 563-566 - [c28]Ciro de Mauro, Marco Gori, Marco Maggini, Enrico Martinelli:
A Voice Device with an Application-Adapted Protocol for Microsoft Windows. ICMCS, Vol. 2 1999: 1015-1016 - [c27]Christoph Goller, Marco Gori:
Feature Extraction and Learning Vector Quantization for Data Structures. IIA/SOCO 1999 - [c26]Christoph Goller, Marco Gori, Marco Maggini:
Feature extraction from data structures with unsupervised recursive neural networks. IJCNN 1999: 1121-1126 - [c25]Mikel L. Forcada, Antonio M. Corbí-Bellot, Marco Gori, Marco Maggini:
Recurrent neural networks can learn simple, approximate regular languages. IJCNN 1999: 1527-1532 - [c24]Patrizia Bonaventura, Marco Gori, Franco Scarselli, Pierluigi Salza, Jianqing Sheng:
A connectionist-based model for predicting the linguistic origin of surnames. IJCNN 1999: 3040-3045 - 1998
- [j24]Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda:
INFORMys: A Flexible Invoice-Like Form-Reader System. IEEE Trans. Pattern Anal. Mach. Intell. 20(7): 730-745 (1998) - [j23]Marco Gori, Franco Scarselli:
Are Multilayer Perceptrons Adequate for Pattern Recognition and Verification? IEEE Trans. Pattern Anal. Mach. Intell. 20(11): 1121-1132 (1998) - [j22]Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda:
Inductive inference from noisy examples using the hybrid finite state filter. IEEE Trans. Neural Networks 9(3): 571-575 (1998) - [j21]Paolo Frasconi, Marco Gori, Alessandro Sperduti:
A general framework for adaptive processing of data structures. IEEE Trans. Neural Networks 9(5): 768-786 (1998) - [j20]Marco Gori, Ah Chung Tsoi:
Comments on local minima free conditions in multilayer perceptrons. IEEE Trans. Neural Networks 9(5): 1051-1053 (1998) - [j19]Marco Gori, Franco Scarselli, Ah Chung Tsoi:
On the closure of the set of functions that can be realized by a given multilayer perceptron. IEEE Trans. Neural Networks 9(6): 1086-1098 (1998) - [c23]Paolo Frasconi, Marco Gori, Alessandro Sperduti:
Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems 1998: 211-225 - [c22]Monica Bianchini, Stefano Fanelli, Marco Gori:
An Application of ELISA to Perfect Hashing with Deterministic Ordering. ICONIP 1998: 1126-1129 - [e2]C. Lee Giles, Marco Gori:
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello", Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures. Lecture Notes in Computer Science 1387, Springer 1998, ISBN 3-540-64341-9 [contents] - 1997
- [j18]Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Maggini:
Terminal attractor algorithms: A critical analysis. Neurocomputing 15(1): 3-13 (1997) - [j17]Paolo Frasconi, Marco Gori, Giovanni Soda:
Links between LVQ and Backpropagation. Pattern Recognit. Lett. 18(4): 303-310 (1997) - [c21]Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda:
Inductive Inference of Tree Automata by Recursive Neural Networks. AI*IA 1997: 36-47 - [c20]Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti:
Logo Recognition by Recursive Neural Networks. GREC 1997: 104-117 - [c19]Francesca Cesarini, Enrico Francesconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda:
A Neural-Based Architecture for Spot-Noisy Logo Recognition. ICDAR 1997: 175-179 - [c18]Francesca Cesarini, Enrico Francesconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda:
Rectangle Labelling for an Invoice Understanding System. ICDAR 1997: 324-330 - [c17]Paolo Frasconi, Marco Gori, Stefano Fanelli, Marco Protasi:
Suspiciousness of loading problems. ICNN 1997: 1240-1245 - [c16]Monica Bianchini, Stefano Fanelli, Marco Gori, Marco Protasi:
Solving Linear Systems by a Neural Network Canonical Form of Efficient Gradient Descent. ICONIP (1) 1997: 531-534 - [c15]Paolo Frasconi, Marco Gori, Alessandro Sperduti:
On the Efficient Classification of Data Structures by Neural Networks. IJCAI 1997: 1066-1071 - [c14]Marco Gori:
The Loading Problem: Topics in Complexity. Summer School on Neural Networks 1997: 145-167 - 1996
- [j16]Monica Bianchini, Marco Gori:
Optimal learning in artificial neural networks: A review of theoretical results. Neurocomputing 13(2-4): 313-346 (1996) - [j15]Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda:
Representation of Finite State Automata in Recurrent Radial Basis Function Networks. Mach. Learn. 23(1): 5-32 (1996) - [j14]Marco Gori, Luca Lastrucci, Giovanni Soda:
Autoassociator-based models for speaker verification. Pattern Recognit. Lett. 17(3): 241-250 (1996) - [j13]Marco Gori, Marco Maggini:
Optimal convergence of on-line backpropagation. IEEE Trans. Neural Networks 7(1): 251-254 (1996) - [j12]Angelo Frosini, Marco Gori, Paolo Priami:
A neural network-based model for paper currency recognition and verification. IEEE Trans. Neural Networks 7(6): 1482-1490 (1996) - [j11]Paolo Frasconi, Marco Gori:
Computational capabilities of local-feedback recurrent networks acting as finite-state machines. IEEE Trans. Neural Networks 7(6): 1521-1525 (1996) - [c13]Marco Gori, Franco Scarselli, Ah Chung Tsoi:
Which classes of functions can a given multilayer perceptron approximate? ICNN 1996: 2226-2231 - [c12]Paolo Frasconi, Marco Gori, Giovanni Soda:
Decision Trellis Models for Tuple Categorization in Databases. SEBD 1996: 347-364 - 1995
- [j10]Paolo Frasconi, Marco Gori, Giovanni Soda:
Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach. Knowl. Based Syst. 8(6): 313-332 (1995) - [j9]Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda:
Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks. IEEE Trans. Knowl. Data Eng. 7(2): 340-346 (1995) - [j8]Monica Bianchini, Paolo Frasconi, Marco Gori:
Learning in multilayered networks used as autoassociators. IEEE Trans. Neural Networks 6(2): 512-515 (1995) - [j7]Monica Bianchini, Paolo Frasconi, Marco Gori:
Learning without local minima in radial basis function networks. IEEE Trans. Neural Networks 6(3): 749-756 (1995) - [c11]Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda:
Data Extraction from Form Images. DEXA 1995: 438-448 - [c10]Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda:
A Hybrid System for Locating and Recognizing Low Level Graphic Items. GREC 1995: 135-147 - [c9]Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda:
A system for data extraction from forms of known class. ICDAR 1995: 1136-1140 - [c8]Francesca Cesarini, Marco Gori, Simone Marinai, Giovanni Soda:
Data Extraction from Partially Structured Documents. SEBD 1995: 191-207 - [c7]Angelo Frosini, Marco Gori, Luca Pistolesi:
A Neural Network-based Software Tool for Number-Plate Recognition. SNN Symposium on Neural Networks 1995: 385-388 - [e1]Marco Gori, Giovanni Soda:
Topics in Artificial Intelligence, 4th Congress of the Italian Association for Artificial Intelligence, AI*IA'95, Florence, Italy, October 11-13, 1995, Proceedings. Lecture Notes in Computer Science 992, Springer 1995, ISBN 3-540-60437-5 [contents] - 1994
- [j6]Monica Bianchini, Marco Gori, Marco Maggini:
On the problem of local minima in recurrent neural networks. IEEE Trans. Neural Networks 5(2): 167-177 (1994) - [c6]Marco Gori, Paolo Frasconi, Marco Maggini, Giovanni Soda:
Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis. ICLP Workshop: Logic and Reasoning with Neural Networks 1994 - 1993
- [c5]Marco Gori, Giovanni Soda:
Projecting Sub-symbolic Onto Symbolic Representations in Artificial Neural Networks. AI*IA 1993: 84-89 - [c4]Paolo Frasconi, Marco Gori, Alberto Tesi:
Backpropagation for linearly-separable patterns: A detailed analysis. ICNN 1993: 1818-1822 - 1992
- [j5]Paolo Frasconi, Marco Gori, Giovanni Soda:
Local Feedback Multilayered Networks. Neural Comput. 4(1): 120-130 (1992) - [j4]Marco Gori, Alberto Tesi:
On the Problem of Local Minima in Backpropagation. IEEE Trans. Pattern Anal. Mach. Intell. 14(1): 76-86 (1992) - [j3]Yoshua Bengio, Renato de Mori, Marco Gori:
Learning the dynamic nature of speech with back-propagation for sequences. Pattern Recognit. Lett. 13(5): 375-385 (1992) - [c3]Piero Cosi, Paolo Frasconi, Marco Gori, N. Griggio:
Phonetic recognition experiments with recurrent neural networks. ICSLP 1992: 1335-1338 - 1991
- [c2]Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda:
KL: A Neural Model for Capturing Structure in Speech. AI*IA 1991: 450-454 - 1990
- [j2]Luca Pistolesi, Marco Spadoni, Marco Gori:
Performance analysis of tightly-coupled multiprocessor minicomputers. Microprocessing and Microprogramming 29(4): 237-246 (1990) - [c1]Marco Gori, Giovanni Soda:
Temporal Pattern Recognition Using EBPS. EURASIP Workshop 1990: 69-80
1980 – 1989
- 1989
- [j1]Marco Gori, Giovanni Soda:
An Algebraic Approach to Cichelli's Perfect Hashing. BIT 29(1): 2-13 (1989)
Coauthor Index
[j105] [c180] [c178] [c171] [i77] [i76] [i70] [i67] [i65] [j101] [c170] [c163] [i55] [b2] [c158] [c157] [c156] [i54] [i52] [j97] [i46] [j93] [j90] [c140] [c139] [c137] [p1] [i38] [i35] [i34] [i31] [i29] [c136] [c133] [i24] [i23] [i22] [i19] [i16] [c124] [i15] [i14] [i13] [i12] [i11] [i8] [i7] [c122] [j81]
[c174] [i75] [i73] [j102] [i60] [j96] [p2] [c147] [c146] [i41] [j87] [c134] [c132] [c131] [c130] [i28] [i26] [i21] [i20] [c129] [c128] [i10] [i6] [j86] [c123] [c120] [j80] [c117] [c110] [c109] [c108] [j72] [j71] [j68] [c104] [c103] [c99] [c95] [c90] [c89] [c70] [j50] [j49] [j45] [j44] [j41] [c58] [c57] [c54] [c51] [c49] [c47] [c46] [j35] [j33] [c45] [c43] [c42] [c33]
[i79] [i78] [c179] [c177] [c176] [c173] [i75] [i74] [i72] [i71] [i69] [i63] [j103] [j102] [c169] [c168] [c164] [c162] [p3] [i60] [i57] [i56] [p2] [i49] [c148] [c147] [c146] [c145] [c142] [c139] [c137] [i41] [i39] [i38] [i35] [j87] [c132] [i21] [i20] [c128] [i6] [c120] [i4] [i3] [j83] [j82] [c115] [c114] [i2] [c113] [c111] [j72] [j71] [c107] [j68] [c104] [c103] [c99] [j65] [c95] [c93] [c90] [c89] [c80] [c79] [c76] [j53] [c71] [c70] [c65] [j50] [j49] [c62] [c60] [j43] [j41] [j40] [c58] [c57] [c56] [c54] [c51] [c46] [j33] [c45] [c42] [c41] [c37] [c31] [c28] [c26] [c25] [j22] [j18] [c21] [j15] [j13] [j9] [j6] [c6] [c2]
[j107] [j105] [c180] [c178] [i76] [i70] [i67] [i66] [i65] [j103] [j101] [c170] [c167] [c164] [p3] [i62] [i61] [i55] [b2] [j98] [c161] [c160] [c158] [c157] [c156] [i54] [i53] [i52] [j97] [j95] [c153] [c151] [c149] [i51] [i50] [i49] [i48] [i46] [i42] [j93] [j92] [j90] [c148] [c145] [c144] [c143] [c142] [c140] [c139] [c138] [c137] [i40] [i39] [i38] [i36] [i35] [i34] [i33] [i31] [i30] [j88] [c135] [c133] [i19] [i18] [c127] [c125] [i11] [i7] [i5] [j83] [c118] [j79] [j78] [c115] [j77] [c114] [i2] [j74] [j73] [c113] [c112] [c111] [j70] [c107] [c105] [c102] [c101] [c100] [j65] [c94] [c93]
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