Paolo Frasconi

Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt: A relational kernel-based approach to scene classification. WACV 2013: 133-139

Paolo Frasconi, Francesca A. Lisi: Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010). Machine Learning 86(1): 1-2 (2012)

Andrea Passerini, Marco Lippi, Paolo Frasconi: Predicting Metal-Binding Sites from Protein Sequence. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 203-213 (2012)

Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt: A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. EMNLP-CoNLL 2012: 579-589

Parisa KordJamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt: Relational Learning for Spatial Relation Extraction from Natural Language. ILP 2012: 204-220

Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt: Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. ILP 2012: 347-357

Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi: Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. ECML/PKDD (2) 2012: 854-857

Laura Antanas, Paolo Frasconi, Fabrizio Costa, Tinne Tuytelaars, Luc De Raedt: A Relational Kernel-Based Framework for Hierarchical Image Understanding. SSPR/SPR 2012: 171-180

Luc De Raedt, Christian Bessière, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas (Eds.): 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. Frontiers in Artificial Intelligence and Applications 242, IOS Press 2012, isbn 978-1-61499-097-0

Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave: kLog: A Language for Logical and Relational Learning with Kernels. CoRR abs/1205.3981 (2012)

Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini: Relational information gain. Machine Learning 83(2): 219-239 (2011)

Andrea Passerini, Marco Lippi, Paolo Frasconi: MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Research 39(Web-Server-Issue): 288-292 (2011)

Paolo Frasconi, Francesca A. Lisi (Eds.): Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers. Lecture Notes in Computer Science 6489, Springer 2011, isbn 978-3-642-21294-9

Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: Fast learning of relational kernels. Machine Learning 78(3): 305-342 (2010)

Marco Lippi, Matteo Bertini, Paolo Frasconi: Collective Traffic Forecasting. ECML/PKDD (2) 2010: 259-273

Marco Lippi, Paolo Frasconi: Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. Bioinformatics 25(18): 2326-2333 (2009)

Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi: A semiparametric generative model for efficient structured-output supervised learning. Ann. Math. Artif. Intell. 54(1-3): 207-222 (2008)

Marco Lippi, Andrea Passerini, Marco Punta, Burkhard Rost, Paolo Frasconi: MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. Bioinformatics 24(18): 2094-2095 (2008)

Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi: A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinformatics 9 (2008)

Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri: On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO 2008: 200-211

Paolo Frasconi, Andrea Passerini: Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming 2008: 56-91

Paolo Frasconi, Manfred Jaeger, Andrea Passerini: Feature Discovery with Type Extension Trees. ILP 2008: 122-139

Paolo Frasconi, Andrea Passerini: Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS 2008: 465-472

Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton (Eds.): Probabilistic Inductive Logic Programming - Theory and Applications. Lecture Notes in Computer Science 4911, Springer 2008, isbn 978-3-540-78651-1

Alessio Ceroni, Fabrizio Costa, Paolo Frasconi: Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinformatics 23(16): 2038-2045 (2007)

Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi: Predicting zinc binding at the proteome level. BMC Bioinformatics 8 (2007)

Paolo Frasconi: Learning with Kernels and Logical Representations. ILP 2007: 1-3

Fabrizio Costa, Sauro Menchetti, Paolo Frasconi: Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48

Paolo Frasconi, Kristian Kersting, Koji Tsuda (Eds.): Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings. 2007

Paolo Frasconi, Alessandro Sperduti, Antonina Starita: Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale 3(1-2): 72-78 (2006)

Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi: Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. Journal of Computational Biology 13(3): 631-650 (2006)

Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Journal of Machine Learning Research 7: 307-342 (2006)

Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi: DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. Nucleic Acids Research 34(Web-Server-Issue): 177-181 (2006)

Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006: 389-394

Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato: Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. RECOMB 2006: 309-320

Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005)

Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil: Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognition Letters 26(12): 1896-1906 (2005)

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Ambiguity resolution analysis in incremental parsing of natural language. IEEE Transactions on Neural Networks 16(4): 959-971 (2005)

Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005

Sauro Menchetti, Fabrizio Costa, Paolo Frasconi: Weighted decomposition kernels. ICML 2005: 585-592

Andrea Passerini, Paolo Frasconi: Kernels on Prolog Ground Terms. IJCAI 2005: 1626-1627

Alessandro Vullo, Paolo Frasconi: Disulfide connectivity prediction using recursive neural networks and evolutionary information. Bioinformatics 20(5): 653-659 (2004)

Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: New results on error correcting output codes of kernel machines. IEEE Transactions on Neural Networks 15(1): 45-54 (2004)

Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini: Guest editorial: Machine learning for the Internet. ACM Trans. Internet Techn. 4(2): 125-128 (2004)

Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini: Guest editorial: Machine learning for the Internet. ACM Trans. Internet Techn. 4(4): 341-343 (2004)

Alessio Ceroni, Paolo Frasconi, Alessandro Vullo: Protein Structure Assembly from Knowledge of β -Sheet Motifs and Secondary Structure. WIRN 2004: 45-52

Fabrizio Costa, Paolo Frasconi: Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363

Pierre Baldi, Paolo Frasconi, Padhraic Smyth: Modeling the Internet and the Web: Probabilistic Method and Algorithms. John Wiley 2003, isbn 0-470-84906-1

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. Appl. Intell. 19(1-2): 9-25 (2003)

Alessandro Vullo, Paolo Frasconi: Prediction of Protein Coarse Contact Maps. J. Bioinformatics and Computational Biology 1(2): 411-431 (2003)

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)

Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. Pattern Recognition 36(2): 397-406 (2003)

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo: Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. VLSI Signal Processing 35(3): 287-295 (2003)

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo: A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. AI*IA 2003: 142-153

Alessandro Vullo, Paolo Frasconi: A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. SAC 2003: 67-71

Paolo Frasconi, Marco Gori, Franz J. Kurfess, Alessandro Sperduti: Special issue on integration of symbolic and connectionist systems. Cognitive Systems Research 3(2): 121-123 (2002)

Paolo Frasconi, Giovanni Soda, Alessandro Vullo: Hidden Markov Models for Text Categorization in Multi-Page Documents. J. Intell. Inf. Syst. 18(2-3): 195-217 (2002)

Alessandro Vullo, Paolo Frasconi: A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. CSB 2002: 187-196

Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Enhancing First-Pass Attachment Prediction. ECAI 2002: 508-512

Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi: Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456

Andrea Passerini, Paolo Frasconi, Giovanni Soda: Evaluation Methods for Focused Crawling. AI*IA 2001: 33-39

Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63

Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda: Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307

Gian Luca Marcialis, Fabio Roli, Paolo Frasconi: Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA 2001: 241-246

Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258

Michelangelo Diligenti, Paolo Frasconi, Marco Gori: Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR 2001: 147-156

Paolo Frasconi, Giovanni Soda, Alessandro Vullo: Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL 2001: 11-20

Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104

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)

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)

Marco Gori, Paolo Frasconi, Alessandro Sperduti: Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI 2000: 301-305

Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461

Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri: Exploiting the past and the future in protein secondary structure prediction. Bioinformatics 15(11): 937-946 (1999)

Paolo Frasconi, Marco Gori, Giovanni Soda: Data Categorization Using Decision Trellises. IEEE Trans. Knowl. Data Eng. 11(5): 697-712 (1999)

Fabrizio Costa, Paolo Frasconi, Giovanni Soda: A topological transformation for hidden recursive modelsarchitecture networks. ESANN 1999: 51-56

Paolo Frasconi, Marco Gori, Alessandro Sperduti: A general framework for adaptive processing of data structures. IEEE Transactions on Neural Networks 9(5): 768-786 (1998)

Paolo Frasconi, Marco Gori, Alessandro Sperduti: Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems 1998: 211-225

Paolo Frasconi, Marco Gori, Giovanni Soda: Links between LVQ and Backpropagation. Pattern Recognition Letters 18(4): 303-310 (1997)

Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda: Inductive Inference of Tree Automata by Recursive Neural Networks. AI*IA 1997: 36-47

Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti: Logo Recognition by Recursive Neural Networks. GREC 1997: 104-117

Paolo Frasconi, Marco Gori, Alessandro Sperduti: On the Efficient Classification of Data Structures by Neural Networks. IJCAI 1997: 1066-1071

Paolo Frasconi: An Introduction to Learning Structured Information. Summer School on Neural Networks 1997: 99-120

Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda: Representation of Finite State Automata in Recurrent Radial Basis Function Networks. Machine Learning 23(1): 5-32 (1996)

Yoshua Bengio, Paolo Frasconi: Input-output HMMs for sequence processing. IEEE Trans. Neural Netw. Learning Syst. 7(5): 1231-1249 (1996)

Paolo Frasconi, Marco Gori: Computational capabilities of local-feedback recurrent networks acting as finite-state machines. IEEE Trans. Neural Netw. Learning Syst. 7(6): 1521-1525 (1996)

Paolo Frasconi, Marco Gori, Giovanni Soda: Decision Trellis Models for Tuple Categorization in Databases. SEBD 1996: 347-364

Yoshua Bengio, Paolo Frasconi: Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. (JAIR) 3: 249-270 (1995)

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)

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)

Monica Bianchini, Paolo Frasconi, Marco Gori: Learning in multilayered networks used as autoassociators. IEEE Trans. Neural Netw. Learning Syst. 6(2): 512-515 (1995)

Monica Bianchini, Paolo Frasconi, Marco Gori: Learning without local minima in radial basis function networks. IEEE Trans. Neural Netw. Learning Syst. 6(3): 749-756 (1995)

Yoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434

Yoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560

Yoshua Bengio, Paolo Frasconi: Credit Assignment through Time: Alternatives to Backpropagation. NIPS 1993: 75-82

Paolo Frasconi, Marco Gori, Giovanni Soda: Local Feedback Multilayered Networks. Neural Computation 4(1): 120-130 (1992)

Piero Cosi, Paolo Frasconi, Marco Gori, N. Griggio: Phonetic recognition experiments with recurrent neural networks. ICSLP 1992

Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda: KL: A Neural Model for Capturing Structure in Speech. AI*IA 1991: 450-454