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Paolo Frasconi :
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Paolo Frasconi , Marco Gori , Marco Maggini , Giovanni Soda Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks. [Citation Graph (1, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 1995, v:7, n:2, pp:340-346 [Journal ] Niels Landwehr , Andrea Passerini , Luc De Raedt , Paolo Frasconi kFOIL: Learning Simple Relational Kernels. [Citation Graph (0, 0)][DBLP ] AAAI, 2006, pp:- [Conf ] Alessio Ceroni , Paolo Frasconi , Andrea Passerini , Alessandro Vullo A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP ] AI*IA, 2003, pp:142-153 [Conf ] Fabrizio Costa , Vincenzo Lombardo , Paolo Frasconi , Giovanni Soda Wide Coverage Incremental Parsing by Learning Attachment Preferences. [Citation Graph (0, 0)][DBLP ] AI*IA, 2001, pp:297-307 [Conf ] Paolo Frasconi , Marco Gori , Marco Maggini , Enrico Martinelli , Giovanni Soda Inductive Inference of Tree Automata by Recursive Neural Networks. [Citation Graph (0, 0)][DBLP ] AI*IA, 1997, pp:36-47 [Conf ] Paolo Frasconi , Marco Gori , Marco Maggini , Giovanni Soda KL: A Neural Model for Capturing Structure in Speech. [Citation Graph (0, 0)][DBLP ] AI*IA, 1991, pp:450-454 [Conf ] Andrea Passerini , Paolo Frasconi , Giovanni Soda Evaluation Methods for Focused Crawling. [Citation Graph (0, 0)][DBLP ] AI*IA, 2001, pp:33-39 [Conf ] Yuan Yao , Gian Luca Marcialis , Massimiliano Pontil , Paolo Frasconi , Fabio Roli A New Machine Learning Approach to Fingerprint Classification. [Citation Graph (0, 0)][DBLP ] AI*IA, 2001, pp:57-63 [Conf ] Gian Luca Marcialis , Fabio Roli , Paolo Frasconi Fingerprint Classification by Combination of Flat and Structural Approaches. [Citation Graph (0, 0)][DBLP ] AVBPA, 2001, pp:241-246 [Conf ] Yuan Yao , Paolo Frasconi , Massimiliano Pontil Fingerprint Classification with Combinations of Support Vector Machines. [Citation Graph (0, 0)][DBLP ] AVBPA, 2001, pp:253-258 [Conf ] Alessandro Vullo , Paolo Frasconi A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. [Citation Graph (0, 0)][DBLP ] CSB, 2002, pp:187-196 [Conf ] Andrea Passerini , Paolo Frasconi , Luc De Raedt Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP ] Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf ] Fabrizio Costa , Paolo Frasconi , Vincenzo Lombardo , Patrick Sturt , Giovanni Soda Enhancing First-Pass Attachment Prediction. [Citation Graph (0, 0)][DBLP ] ECAI, 2002, pp:508-512 [Conf ] Marco Gori , Paolo Frasconi , Alessandro Sperduti Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. [Citation Graph (0, 0)][DBLP ] ECAI, 2000, pp:301-305 [Conf ] Andrea Passerini , Massimiliano Pontil , Paolo Frasconi From Margins to Probabilities in Multiclass Learning Problems. [Citation Graph (0, 0)][DBLP ] ECAI, 2002, pp:400-404 [Conf ] Fabrizio Costa , Paolo Frasconi , Giovanni Soda A topological transformation for hidden recursive modelsarchitecture networks. [Citation Graph (0, 0)][DBLP ] ESANN, 1999, pp:51-56 [Conf ] Enrico Francesconi , Paolo Frasconi , Marco Gori , Simone Marinai , Jianqing Sheng , Giovanni Soda , Alessandro Sperduti Logo Recognition by Recursive Neural Networks. [Citation Graph (0, 0)][DBLP ] GREC, 1997, pp:104-117 [Conf ] Paolo Frasconi , Marco Gori , Alessandro Sperduti Integration of Graphical Rules with Adaptive Learning of Structured Information. [Citation Graph (0, 0)][DBLP ] Hybrid Neural Systems, 1998, pp:211-225 [Conf ] Michelangelo Diligenti , Paolo Frasconi , Marco Gori Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. [Citation Graph (0, 0)][DBLP ] ICAPR, 2001, pp:147-156 [Conf ] Sauro Menchetti , Fabrizio Costa , Paolo Frasconi Weighted decomposition kernels. [Citation Graph (0, 0)][DBLP ] ICML, 2005, pp:585-592 [Conf ] Paolo Frasconi , Marco Gori , Alessandro Sperduti On the Efficient Classification of Data Structures by Neural Networks. [Citation Graph (0, 0)][DBLP ] IJCAI, 1997, pp:1066-1071 [Conf ] Andrea Passerini , Paolo Frasconi Kernels on Prolog Ground Terms. [Citation Graph (0, 0)][DBLP ] IJCAI, 2005, pp:1626-1627 [Conf ] Paolo Frasconi , Giovanni Soda , Alessandro Vullo Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. [Citation Graph (0, 0)][DBLP ] JCDL, 2001, pp:11-20 [Conf ] Yoshua Bengio , Paolo Frasconi Diffusion of Credit in Markovian Models. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:553-560 [Conf ] Yoshua Bengio , Paolo Frasconi Credit Assignment through Time: Alternatives to Backpropagation. [Citation Graph (0, 0)][DBLP ] NIPS, 1993, pp:75-82 [Conf ] Yoshua Bengio , Paolo Frasconi An Input Output HMM Architecture. [Citation Graph (0, 0)][DBLP ] NIPS, 1994, pp:427-434 [Conf ] Gianluca Pollastri , Pierre Baldi , Alessandro Vullo , Paolo Frasconi Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. [Citation Graph (0, 0)][DBLP ] NIPS, 2002, pp:1449-1456 [Conf ] Paolo Frasconi An Introduction to Learning Structured Information. [Citation Graph (0, 0)][DBLP ] Summer School on Neural Networks, 1997, pp:99-120 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] RECOMB, 2006, pp:309-320 [Conf ] Alessandro Vullo , Paolo Frasconi A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. [Citation Graph (0, 0)][DBLP ] SAC, 2003, pp:67-71 [Conf ] Pierre Baldi , Søren Brunak , Paolo Frasconi , Gianluca Pollastri , Giovanni Soda Bidirectional Dynamics for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP ] Sequence Learning, 2001, pp:80-104 [Conf ] Fabrizio Costa , Paolo Frasconi Distributed community crawling. [Citation Graph (0, 0)][DBLP ] WWW (Alternate Track Papers & Posters), 2004, pp:362-363 [Conf ] Fabrizio Costa , Paolo Frasconi , Vincenzo Lombardo , Giovanni Soda Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. [Citation Graph (0, 0)][DBLP ] Appl. Intell., 2003, v:19, n:1-2, pp:9-25 [Journal ] Pierre Baldi , Søren Brunak , Paolo Frasconi , Giovanni Soda , Gianluca Pollastri Exploiting the past and the future in protein secondary structure prediction. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 1999, v:15, n:11, pp:937-946 [Journal ] Alessandro Vullo , Paolo Frasconi Disulfide connectivity prediction using recursive neural networks and evolutionary information. [Citation Graph (0, 0)][DBLP ] Bioinformatics, 2004, v:20, n:5, pp:653-659 [Journal ] Paolo Frasconi , Alessandro Sperduti , Antonina Starita Kernel Machines, Neural Networks, and Graphical Models. [Citation Graph (0, 0)][DBLP ] Intelligenza Artificiale, 2006, v:3, n:1-2, pp:72-78 [Journal ] Piero Cosi , Paolo Frasconi , Marco Gori , Luca Lastrucci , Giovanni Soda Competitive radial basis functions training for phone classification. [Citation Graph (0, 0)][DBLP ] Neurocomputing, 2000, v:34, n:1-4, pp:117-129 [Journal ] Yoshua Bengio , Paolo Frasconi Diffusion of Context and Credit Information in Markovian Models. [Citation Graph (0, 0)][DBLP ] J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:249-270 [Journal ] Alessandro Vullo , Paolo Frasconi Prediction of Protein Coarse Contact Maps. [Citation Graph (0, 0)][DBLP ] J. Bioinformatics and Computational Biology, 2003, v:1, n:2, pp:411-431 [Journal ] Paolo Frasconi , Giovanni Soda , Alessandro Vullo Hidden Markov Models for Text Categorization in Multi-Page Documents. [Citation Graph (0, 0)][DBLP ] J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:195-217 [Journal ] Andrea Passerini , Paolo Frasconi , Luc De Raedt Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2006, v:7, n:, pp:307-342 [Journal ] Paolo Frasconi , Marco Gori , Giovanni Soda Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 1995, v:8, n:6, pp:313-332 [Journal ] Paolo Frasconi , Marco Gori , Marco Maggini , Giovanni Soda Representation of Finite State Automata in Recurrent Radial Basis Function Networks. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1996, v:23, n:1, pp:5-32 [Journal ] Alessio Ceroni , Andrea Passerini , Alessandro Vullo , Paolo Frasconi DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. [Citation Graph (0, 0)][DBLP ] Nucleic Acids Research, 2006, v:34, n:Web-Server-Issue, pp:177-181 [Journal ] Alessio Ceroni , Paolo Frasconi , Gianluca Pollastri Learning protein secondary structure from sequential and relational data. [Citation Graph (0, 0)][DBLP ] Neural Networks, 2005, v:18, n:8, pp:1029-1039 [Journal ] Michelangelo Diligenti , Paolo Frasconi , Marco Gori Hidden Tree Markov Models for Document Image Classification. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:4, pp:519-523 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 2003, v:36, n:2, pp:397-406 [Journal ] Paolo Frasconi , Marco Gori , Giovanni Soda Links between LVQ and Backpropagation. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1997, v:18, n:4, pp:303-310 [Journal ] Sauro Menchetti , Fabrizio Costa , Paolo Frasconi , Massimiliano Pontil Wide coverage natural language processing using kernel methods and neural networks for structured data. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2005, v:26, n:12, pp:1896-1906 [Journal ] Paolo Frasconi , Marco Gori , Alessandro Sperduti Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 2001, v:13, n:2, pp:145-147 [Journal ] Paolo Frasconi , Marco Gori , Giovanni Soda Data Categorization Using Decision Trellises. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 1999, v:11, n:5, pp:697-712 [Journal ] Gary William Flake , Paolo Frasconi , C. Lee Giles , Marco Maggini Guest editorial: Machine learning for the Internet. [Citation Graph (0, 0)][DBLP ] ACM Trans. Internet Techn., 2004, v:4, n:2, pp:125-128 [Journal ] Gary William Flake , Paolo Frasconi , C. Lee Giles , Marco Maggini Guest editorial: Machine learning for the Internet. [Citation Graph (0, 0)][DBLP ] ACM Trans. Internet Techn., 2004, v:4, n:4, pp:341-343 [Journal ] On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. [Citation Graph (, )][DBLP ] Learning with Kernels and Logical Representations. [Citation Graph (, )][DBLP ] Learning with Kernels and Logical Representations. [Citation Graph (, )][DBLP ] Feature Discovery with Type Extension Trees. [Citation Graph (, )][DBLP ] Learning incremental syntactic structures with recursive neural networks. [Citation Graph (, )][DBLP ] Predicting the Geometry of Metal Binding Sites from Protein Sequence. [Citation Graph (, )][DBLP ] Collective Traffic Forecasting. [Citation Graph (, )][DBLP ] A semiparametric generative model for efficient structured-output supervised learning. [Citation Graph (, )][DBLP ] Classification of small molecules by two- and three-dimensional decomposition kernels. [Citation Graph (, )][DBLP ] MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. [Citation Graph (, )][DBLP ] Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. [Citation Graph (, )][DBLP ] Predicting zinc binding at the proteome level. [Citation Graph (, )][DBLP ] A simplified approach to disulfide connectivity prediction from protein sequences. [Citation Graph (, )][DBLP ] Search in 0.019secs, Finished in 0.024secs