Paolo Frasconi

154 papers A* 10A 5B 10Misc 1Journal 74Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dealing with Uncertainty in Contextual Anomaly Detection. Trans. Mach. Learn. Res. Luca Bindini, Lorenzo Perini, Stefano Nistri, Jesse Davis, Paolo Frasconi
2025	J	`jnl`	Dealing with Uncertainty in Contextual Anomaly Detection. CoRR Luca Bindini, Lorenzo Perini, Stefano Nistri, Jesse Davis, Paolo Frasconi
2025	J	`jnl`	Hyperparameter Optimization in Machine Learning. Found. Trends Mach. Learn. Luca Franceschi, Michele Donini, Valerio Perrone, Aaron Klein, Cédric Archambeau, Matthias W. Seeger, Massimiliano Pontil, Paolo Frasconi
2025	J	`jnl`	MARS: Audio Generation via Multi-Channel Autoregression on Spectrograms. CoRR Eleonora Ristori, Luca Bindini, Paolo Frasconi
2024	J	`jnl`	All-in-one electrical atrial substrate indicators with deep anomaly detection. Biomed. Signal Process. Control. Luca Bindini, Stefano Pagani, Andrea Bernardini, Benedetta Grossi, Andrea Giomi, Antonio Frontera, Paolo Frasconi
2024	J	`jnl`	Hyperparameter Optimization in Machine Learning. CoRR Luca Franceschi, Michele Donini, Valerio Perrone, Aaron Klein, Cédric Archambeau, Matthias W. Seeger, Massimiliano Pontil, Paolo Frasconi
2024	—	`conf`	Tiny Autoencoders are Effective Few-Shot Generative Model Detectors. WIFS Luca Bindini, Giulia Bertazzini, Daniele Baracchi, Dasara Shullani, Paolo Frasconi, Alessandro Piva
2021	A*	`conf`	Learning Aggregation Functions. IJCAI Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2020	—	`conf`	CONLON: A Pseudo-Song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations. ISMIR Luca Angioloni, Valentijn Borghuis, Lorenzo Brusci, Paolo Frasconi
2020	J	`jnl`	Classification of Cancer Pathology Reports: A Large-Scale Comparative Study. IEEE J. Biomed. Health Informatics Stefano Martina, Leonardo Ventura, Paolo Frasconi
2020	J	`jnl`	Classification of cancer pathology reports: a large-scale comparative study. CoRR Stefano Martina, Leonardo Ventura, Paolo Frasconi
2020	J	`jnl`	Learning Aggregation Functions. CoRR Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
2020	J	`jnl`	Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
2020	A*	`conf`	Marthe: Scheduling the Learning Rate Via Online Hypergradients. IJCAI Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi
2020	A*	`conf`	Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. IJCAI Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi
2019	J	`jnl`	Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. CoRR Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi
2018	A*	`conf`	Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil
2018	J	`jnl`	Bilevel Programming for Hyperparameter Optimization and Meta-Learning. CoRR Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil
2018	J	`jnl`	Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi
2018	J	`jnl`	Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
2018	J	`jnl`	Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres. CoRR Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi
2018	J	`jnl`	Shift Aggregate Extract Networks. Frontiers Robotics AI Francesco Orsini, Daniele Baracchi, Paolo Frasconi
2017	J	`jnl`	A Bridge Between Hyperparameter Optimization and Larning-to-learn. CoRR Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
2017	—	`conf`	A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
2017	A*	`conf`	Forward and Reverse Gradient-Based Hyperparameter Optimization. ICML Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
2017	—	`conf`	On Hyperparameter Optimization in Learning Systems. ICLR (Workshop) Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
2017	J	`jnl`	Shift Aggregate Extract Networks. CoRR Francesco Orsini, Daniele Baracchi, Paolo Frasconi
2017	J	`jnl`	kProbLog: an algebraic Prolog for machine learning. Mach. Learn. Francesco Orsini, Paolo Frasconi, Luc De Raedt
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I ECML/PKDD (1) Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
2016	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II ECML/PKDD (2) Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken
2016	J	`jnl`	RNAcommender: genome-wide recommendation of RNA-protein interactions. Bioinform. Gianluca Corrado, Toma Tebaldi, Fabrizio Costa, Paolo Frasconi, Andrea Passerini
2015	J	`jnl`	Cell identification in whole-brain multiview images of neural activation. CoRR Marco Paciscopi, Ludovico Silvestri, Francesco Saverio Pavone, Paolo Frasconi
2015	—	`conf`	Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images. EMBC Paolo Soda, Ludovica Acciai, Ermanno Cordelli, Irene Costantini, Leonardo Sacconi, Francesco Saverio Pavone, Valerio Conti, Renzo Guerrini, Paolo Frasconi, Giulio Iannello
2015	A*	`conf`	Graph Invariant Kernels. IJCAI Francesco Orsini, Paolo Frasconi, Luc De Raedt
2015	A*	`conf`	kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). IJCAI Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave
2015	B	`conf`	kProbLog: An Algebraic Prolog for Kernel Programming. ILP Francesco Orsini, Paolo Frasconi, Luc De Raedt
2014	—	`conf`	A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. HPCS Alessandro Bria, Giulio Iannello, Paolo Soda, Hanchuan Peng, Giovanni Erbacci, Giuseppe Fiameni, Giacomo Mariani, Roberto Mucci, Marco Rorro, Francesco Pavone, Ludovico Silvestri, Paolo Frasconi, Roberto Cortini
2014	J	`jnl`	Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images. Bioinform. Paolo Frasconi, Ludovico Silvestri, Paolo Soda, Roberto Cortini, Francesco Pavone, Giulio Iannello
2014	J	`jnl`	Markov Logic Networks for Optical Chemical Structure Recognition. J. Chem. Inf. Model. Paolo Frasconi, Francesco Gabbrielli, Marco Lippi, Simone Marinai
2014	J	`jnl`	kLog: A language for logical and relational learning with kernels. Artif. Intell. Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave
2014	—	`conf`	kLogNLP: Graph Kernel-based Relational Learning of Natural Language. ACL (System Demonstrations) Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt
2013	A	`conf`	A relational kernel-based approach to scene classification. WACV Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt
2013	J	`jnl`	Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 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
2013	J	`jnl`	Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning. IEEE Trans. Intell. Transp. Syst. Marco Lippi, Matteo Bertini, Paolo Frasconi
2013	J	`jnl`	Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi
2012	—	`conf`	A Relational Kernel-Based Framework for Hierarchical Image Understanding. SSPR/SPR Laura Antanas, Paolo Frasconi, Fabrizio Costa, Tinne Tuytelaars, Luc De Raedt
2012	—	`conf`	A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. EMNLP-CoNLL Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt
2012	A	`ed.`	ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012 ECAI Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas
2012	J	`jnl`	Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010). Mach. Learn. Paolo Frasconi, Francesca A. Lisi
2012	—	`conf`	Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. ECML/PKDD (2) Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi
2012	J	`jnl`	Predicting Metal-Binding Sites from Protein Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. Andrea Passerini, Marco Lippi, Paolo Frasconi
2012	J	`jnl`	kLog: A Language for Logical and Relational Learning with Kernels CoRR Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave
2011	B	`ed.`	Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers ILP Paolo Frasconi, Francesca A. Lisi
2011	B	`conf`	Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. ILP Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt
2011	J	`jnl`	MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Res. Andrea Passerini, Marco Lippi, Paolo Frasconi
2011	B	`conf`	Relational Learning for Spatial Relation Extraction from Natural Language. ILP Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt
2011	J	`jnl`	Relational information gain. Mach. Learn. Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini
2010	—	`conf`	Collective Traffic Forecasting. ECML/PKDD (2) Marco Lippi, Matteo Bertini, Paolo Frasconi
2010	J	`jnl`	Fast learning of relational kernels. Mach. Learn. Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
2009	J	`jnl`	Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. Bioinform. Marco Lippi, Paolo Frasconi
2008	J	`jnl`	A semiparametric generative model for efficient structured-output supervised learning. Ann. Math. Artif. Intell. Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi
2008	J	`jnl`	A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinform. Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi
2008	B	`conf`	Feature Discovery with Type Extension Trees. ILP Paolo Frasconi, Manfred Jaeger, Andrea Passerini
2008	—	`ch.`	Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming Paolo Frasconi, Andrea Passerini
2008	—	`conf`	Markov Logic Improves Protein β-Partners Prediction. MLG@ICML Marco Lippi, Paolo Frasconi
2008	J	`jnl`	MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. Bioinform. Marco Lippi, Andrea Passerini, Marco Punta, Burkhard Rost, Paolo Frasconi
2008	—	`conf`	On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri
2008	—	`conf`	Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS Paolo Frasconi, Andrea Passerini
2008	—	`book`	Probabilistic Inductive Logic Programming - Theory and Applications Probabilistic Inductive Logic Programming Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen H. Muggleton
2007	J	`jnl`	Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinform. Alessio Ceroni, Fabrizio Costa, Paolo Frasconi
2007	—	`ch.`	Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration Fabrizio Costa, Sauro Menchetti, Paolo Frasconi
2007	B	`conf`	Learning with Kernels and Logical Representations. ILP Paolo Frasconi
2007	—	`ed.`	Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG Paolo Frasconi, Kristian Kersting, Koji Tsuda
2007	J	`jnl`	Predicting zinc binding at the proteome level. BMC Bioinform. Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi
2006	J	`jnl`	DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. Nucleic Acids Res. Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi
2006	—	`conf`	Decomposition Kernels for Natural Language Processing. Learning Structured Information@EACL Fabrizio Costa, Sauro Menchetti, Alessio Ceroni, Andrea Passerini, Paolo Frasconi
2006	B	`conf`	Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. RECOMB Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato
2006	J	`jnl`	Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale Paolo Frasconi, Alessandro Sperduti, Antonina Starita
2006	J	`jnl`	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. J. Mach. Learn. Res. Andrea Passerini, Paolo Frasconi, Luc De Raedt
2006	J	`jnl`	Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. J. Comput. Biol. Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi
2006	A*	`conf`	kFOIL: Learning Simple Relational Kernels. AAAI Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
2005	J	`jnl`	Ambiguity resolution analysis in incremental parsing of natural language. IEEE Trans. Neural Networks Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda
2005	A*	`conf`	Kernels on Prolog Ground Terms. IJCAI Andrea Passerini, Paolo Frasconi
2005	—	`conf`	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. AAIP Andrea Passerini, Paolo Frasconi, Luc De Raedt
2005	—	`conf`	Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning Andrea Passerini, Paolo Frasconi, Luc De Raedt
2005	J	`jnl`	Learning protein secondary structure from sequential and relational data. Neural Networks Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri
2005	A*	`conf`	Weighted decomposition kernels. ICML Sauro Menchetti, Fabrizio Costa, Paolo Frasconi
2005	J	`jnl`	Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognit. Lett. Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil
2004	—	`conf`	Distributed community crawling. WWW (Alternate Track Papers & Posters) Fabrizio Costa, Paolo Frasconi
2004	J	`jnl`	Disulfide connectivity prediction using recursive neural networks and evolutionary information. Bioinform. Alessandro Vullo, Paolo Frasconi
2004	J	`jnl`	Guest editorial: Machine learning for the Internet. ACM Trans. Internet Techn. Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
2004	J	`jnl`	Guest editorial: Machine learning for the Internet. ACM Trans. Internet Techn. Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
2004	J	`jnl`	New results on error correcting output codes of kernel machines. IEEE Trans. Neural Networks Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
2004	B	`conf`	On the role of long-range dependencies in learning protein secondary structure. IJCNN Alessio Ceroni, Paolo Frasconi
2004	—	`conf`	Protein Structure Assembly from Knowledge of WIRN Alessio Ceroni, Paolo Frasconi, Alessandro Vullo
2003	—	`conf`	A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. AI*IA Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
2003	Misc	`conf`	A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. SAC Alessandro Vullo, Paolo Frasconi
2003	J	`jnl`	Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. Pattern Recognit. Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
2003	J	`jnl`	Hidden Tree Markov Models for Document Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Michelangelo Diligenti, Paolo Frasconi, Marco Gori
2003	—	`book`	Modeling the Internet and the Web: Probabilistic Method and Algorithms Pierre Baldi, Paolo Frasconi, Padhraic Smyth
2003	J	`jnl`	Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. J. VLSI Signal Process. Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
2003	J	`jnl`	Prediction of Protein Coarse Contact Maps. J. Bioinform. Comput. Biol. Alessandro Vullo, Paolo Frasconi
2003	J	`jnl`	Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. Appl. Intell. Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda
2002	—	`conf`	A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. CSB Alessandro Vullo, Paolo Frasconi
2002	—	`conf`	A two-stage SVM architecture for predicting the disulfide bonding state of cysteines. NNSP Paolo Frasconi, Andrea Passerini, Alessandro Vullo
2002	A	`conf`	Enhancing First-Pass Attachment Prediction. ECAI Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda
2002	A	`conf`	From Margins to Probabilities in Multiclass Learning Problems. ECAI Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
2002	J	`jnl`	Hidden Markov Models for Text Categorization in Multi-Page Documents. J. Intell. Inf. Syst. Paolo Frasconi, Giovanni Soda, Alessandro Vullo
2002	—	`conf`	Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi
2002	J	`jnl`	Special issue on integration of symbolic and connectionist systems. Cogn. Syst. Res. Paolo Frasconi, Marco Gori, Franz J. Kurfess, Alessandro Sperduti
2001	—	`conf`	A New Machine Learning Approach to Fingerprint Classification. AI*IA Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli
2001	—	`conf`	Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda
2001	—	`conf`	Evaluation Methods for Focused Crawling. AI*IA Andrea Passerini, Paolo Frasconi, Giovanni Soda
2001	—	`conf`	Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA Gian Luca Marcialis, Fabio Roli, Paolo Frasconi
2001	—	`conf`	Fingerprint Classification with Combinations of Support Vector Machines. AVBPA Yuan Yao, Paolo Frasconi, Massimiliano Pontil
2001	J	`jnl`	Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. IEEE Trans. Knowl. Data Eng. Paolo Frasconi, Marco Gori, Alessandro Sperduti
2001	—	`conf`	Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR Michelangelo Diligenti, Paolo Frasconi, Marco Gori
2001	—	`conf`	Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL Paolo Frasconi, Giovanni Soda, Alessandro Vullo
2001	—	`conf`	Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda
2000	J	`jnl`	Competitive radial basis functions training for phone classification. Neurocomputing Piero Cosi, Paolo Frasconi, Marco Gori, Luca Lastrucci, Giovanni Soda
2000	A	`conf`	Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI Marco Gori, Paolo Frasconi, Alessandro Sperduti
2000	B	`conf`	Learning incremental syntactic structures with recursive neural networks. KES Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda
1999	B	`conf`	A topological transformation for hidden recursive modelsarchitecture networks. ESANN Fabrizio Costa, Paolo Frasconi, Giovanni Soda
1999	J	`jnl`	Data Categorization Using Decision Trellises. IEEE Trans. Knowl. Data Eng. Paolo Frasconi, Marco Gori, Giovanni Soda
1999	J	`jnl`	Exploiting the past and the future in protein secondary structure prediction. Bioinform. Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri
1998	J	`jnl`	A general framework for adaptive processing of data structures. IEEE Trans. Neural Networks Paolo Frasconi, Marco Gori, Alessandro Sperduti
1998	—	`conf`	Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems Paolo Frasconi, Marco Gori, Alessandro Sperduti
1997	—	`conf`	An Introduction to Learning Structured Information. Summer School on Neural Networks Paolo Frasconi
1997	—	`conf`	Inductive Inference of Tree Automata by Recursive Neural Networks. AI*IA Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda
1997	J	`jnl`	Links between LVQ and Backpropagation. Pattern Recognit. Lett. Paolo Frasconi, Marco Gori, Giovanni Soda
1997	—	`conf`	Logo Recognition by Recursive Neural Networks. GREC Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti
1997	—	`conf`	On the Efficient Classification of Data Structures by Neural Networks. IJCAI Paolo Frasconi, Marco Gori, Alessandro Sperduti
1997	—	`conf`	Suspiciousness of loading problems. ICNN Paolo Frasconi, Marco Gori, Stefano Fanelli, Marco Protasi
1996	J	`jnl`	Computational capabilities of local-feedback recurrent networks acting as finite-state machines. IEEE Trans. Neural Networks Paolo Frasconi, Marco Gori
1996	—	`conf`	Decision Trellis Models for Tuple Categorization in Databases. SEBD Paolo Frasconi, Marco Gori, Giovanni Soda
1996	J	`jnl`	Input-output HMMs for sequence processing. IEEE Trans. Neural Networks Yoshua Bengio, Paolo Frasconi
1996	J	`jnl`	Representation of Finite State Automata in Recurrent Radial Basis Function Networks. Mach. Learn. Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda
1995	J	`jnl`	Diffusion of Context and Credit Information in Markovian Models. CoRR Yoshua Bengio, Paolo Frasconi
1995	J	`jnl`	Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. Yoshua Bengio, Paolo Frasconi
1995	J	`jnl`	Learning in multilayered networks used as autoassociators. IEEE Trans. Neural Networks Monica Bianchini, Paolo Frasconi, Marco Gori
1995	J	`jnl`	Learning without local minima in radial basis function networks. IEEE Trans. Neural Networks Monica Bianchini, Paolo Frasconi, Marco Gori
1995	J	`jnl`	Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach. Knowl. Based Syst. Paolo Frasconi, Marco Gori, Giovanni Soda
1995	J	`jnl`	Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks. IEEE Trans. Knowl. Data Eng. Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda
1994	—	`conf`	An EM approach to grammatical inference: input/output HMMs. ICPR (2) Paolo Frasconi, Yoshua Bengio
1994	—	`conf`	An Input Output HMM Architecture. NIPS Yoshua Bengio, Paolo Frasconi
1994	—	`conf`	Diffusion of Credit in Markovian Models. NIPS Yoshua Bengio, Paolo Frasconi
1994	—	`conf`	Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis. ICLP Workshop: Logic and Reasoning with Neural Networks Marco Gori, Paolo Frasconi, Marco Maggini, Giovanni Soda
1994	J	`jnl`	Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Networks Yoshua Bengio, Patrice Y. Simard, Paolo Frasconi
1993	—	`conf`	Backpropagation for linearly-separable patterns: A detailed analysis. ICNN Paolo Frasconi, Marco Gori, Alberto Tesi
1993	—	`conf`	Credit Assignment through Time: Alternatives to Backpropagation. NIPS Yoshua Bengio, Paolo Frasconi
1993	—	`conf`	The problem of learning long-term dependencies in recurrent networks. ICNN Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard
1992	J	`jnl`	Local Feedback Multilayered Networks. Neural Comput. Paolo Frasconi, Marco Gori, Giovanni Soda
1992	—	`conf`	Phonetic recognition experiments with recurrent neural networks. ICSLP Piero Cosi, Paolo Frasconi, Marco Gori, N. Griggio
1991	—	`conf`	KL: A Neural Model for Capturing Structure in Speech. AI*IA Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda