2008 | ||
---|---|---|
68 | Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008 | |
67 | EE | 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 |
66 | EE | Paolo Frasconi, Manfred Jaeger, Andrea Passerini: Feature Discovery with Type Extension Trees. ILP 2008: 122-139 |
65 | EE | Paolo Frasconi, Andrea Passerini: Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS 2008: 465-472 |
64 | EE | Paolo Frasconi, Andrea Passerini: Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming 2008: 56-91 |
63 | EE | 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) |
2007 | ||
62 | Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007 | |
61 | EE | Paolo Frasconi: Learning with Kernels and Logical Representations. ILP 2007: 1-3 |
60 | EE | Fabrizio Costa, Sauro Menchetti, Paolo Frasconi: Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48 |
59 | EE | Alessio Ceroni, Fabrizio Costa, Paolo Frasconi: Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinformatics 23(16): 2038-2045 (2007) |
2006 | ||
58 | Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006 | |
57 | EE | 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 |
56 | Paolo Frasconi, Alessandro Sperduti, Antonina Starita: Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale 3(1-2): 72-78 (2006) | |
55 | EE | 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) |
54 | EE | 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) |
53 | EE | 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) |
2005 | ||
52 | EE | Sauro Menchetti, Fabrizio Costa, Paolo Frasconi: Weighted decomposition kernels. ICML 2005: 585-592 |
51 | EE | Andrea Passerini, Paolo Frasconi: Kernels on Prolog Ground Terms. IJCAI 2005: 1626-1627 |
50 | EE | Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005 |
49 | EE | Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005) |
48 | EE | 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) |
2004 | ||
47 | EE | Fabrizio Costa, Paolo Frasconi: Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363 |
46 | EE | 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) |
45 | EE | 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) |
44 | EE | Alessandro Vullo, Paolo Frasconi: Disulfide connectivity prediction using recursive neural networks and evolutionary information. Bioinformatics 20(5): 653-659 (2004) |
2003 | ||
43 | Pierre Baldi, Paolo Frasconi, Padhraic Smyth: Modeling the Internet and the Web: Probabilistic Method and Algorithms John Wiley 2003 | |
42 | EE | 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 |
41 | Alessandro Vullo, Paolo Frasconi: A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. SAC 2003: 67-71 | |
40 | 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) | |
39 | EE | 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) |
38 | EE | Alessandro Vullo, Paolo Frasconi: Prediction of Protein Coarse Contact Maps. J. Bioinformatics and Computational Biology 1(2): 411-431 (2003) |
37 | EE | 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) |
36 | EE | 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) |
2002 | ||
35 | EE | Alessandro Vullo, Paolo Frasconi: A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. CSB 2002: 187-196 |
34 | Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404 | |
33 | Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Enhancing First-Pass Attachment Prediction. ECAI 2002: 508-512 | |
32 | EE | Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi: Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456 |
31 | 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) | |
2001 | ||
30 | EE | Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda: Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307 |
29 | EE | Andrea Passerini, Paolo Frasconi, Giovanni Soda: Evaluation Methods for Focused Crawling. AI*IA 2001: 33-39 |
28 | EE | Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63 |
27 | EE | Gian Luca Marcialis, Fabio Roli, Paolo Frasconi: Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA 2001: 241-246 |
26 | EE | Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258 |
25 | EE | Michelangelo Diligenti, Paolo Frasconi, Marco Gori: Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR 2001: 147-156 |
24 | EE | Paolo Frasconi, Giovanni Soda, Alessandro Vullo: Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL 2001: 11-20 |
23 | EE | Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104 |
22 | EE | 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 | ||
21 | Marco Gori, Paolo Frasconi, Alessandro Sperduti: Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI 2000: 301-305 | |
20 | EE | Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461 |
19 | EE | 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) |
1999 | ||
18 | EE | Fabrizio Costa, Paolo Frasconi, Giovanni Soda: A topological transformation for hidden recursive modelsarchitecture networks. ESANN 1999: 51-56 |
17 | 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) | |
16 | EE | Paolo Frasconi, Marco Gori, Giovanni Soda: Data Categorization Using Decision Trellises. IEEE Trans. Knowl. Data Eng. 11(5): 697-712 (1999) |
1998 | ||
15 | Paolo Frasconi, Marco Gori, Alessandro Sperduti: Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems 1998: 211-225 | |
14 | EE | 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) |
1997 | ||
13 | Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda: Inductive Inference of Tree Automata by Recursive Neural Networks. AI*IA 1997: 36-47 | |
12 | Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti: Logo Recognition by Recursive Neural Networks. GREC 1997: 104-117 | |
11 | Paolo Frasconi, Marco Gori, Alessandro Sperduti: On the Efficient Classification of Data Structures by Neural Networks. IJCAI 1997: 1066-1071 | |
10 | EE | Paolo Frasconi: An Introduction to Learning Structured Information. Summer School on Neural Networks 1997: 99-120 |
9 | EE | Paolo Frasconi, Marco Gori, Giovanni Soda: Links between LVQ and Backpropagation. Pattern Recognition Letters 18(4): 303-310 (1997) |
1996 | ||
8 | 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) | |
1995 | ||
7 | EE | 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) |
6 | Yoshua Bengio, Paolo Frasconi: Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. (JAIR) 3: 249-270 (1995) | |
5 | EE | 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) |
1994 | ||
4 | EE | Yoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434 |
3 | EE | Yoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560 |
1993 | ||
2 | EE | Yoshua Bengio, Paolo Frasconi: Credit Assignment through Time: Alternatives to Backpropagation. NIPS 1993: 75-82 |
1991 | ||
1 | Paolo Frasconi, Marco Gori, Marco Maggini, Giovanni Soda: KL: A Neural Model for Capturing Structure in Speech. AI*IA 1991: 450-454 |