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Paolo Frasconi Vis

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*2009
72EEMarco Lippi, Paolo Frasconi: Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. Bioinformatics 25(18): 2326-2333 (2009)
2008
71 Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
70EEAlessandro 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
69EEPaolo Frasconi, Manfred Jaeger, Andrea Passerini: Feature Discovery with Type Extension Trees. ILP 2008: 122-139
68EEPaolo Frasconi, Andrea Passerini: Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS 2008: 465-472
67EEPaolo Frasconi, Andrea Passerini: Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming 2008: 56-91
66EEFabrizio 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)
65EEMarc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi: A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinformatics 9: (2008)
64EEMarco 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
63 Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007
62EEPaolo Frasconi: Learning with Kernels and Logical Representations. ILP 2007: 1-3
61EEFabrizio Costa, Sauro Menchetti, Paolo Frasconi: Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48
60EEAndrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi: Predicting zinc binding at the proteome level. BMC Bioinformatics 8: (2007)
59EEAlessio 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
57EESauro 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)
55EEGianluca 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)
54EEAndrea 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)
53EEAlessio 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
52EESauro Menchetti, Fabrizio Costa, Paolo Frasconi: Weighted decomposition kernels. ICML 2005: 585-592
51EEAndrea Passerini, Paolo Frasconi: Kernels on Prolog Ground Terms. IJCAI 2005: 1626-1627
50EEAndrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005
49EEAlessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005)
48EESauro 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
47EEFabrizio Costa, Paolo Frasconi: Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363
46EEGary 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)
45EEGary 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)
44EEAlessandro 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
42EEAlessio 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)
39EEMichelangelo Diligenti, Paolo Frasconi, Marco Gori: Hidden Tree Markov Models for Document Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 519-523 (2003)
38EEAlessandro Vullo, Paolo Frasconi: Prediction of Protein Coarse Contact Maps. J. Bioinformatics and Computational Biology 1(2): 411-431 (2003)
37EEYuan 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)
36EEAlessio 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
35EEAlessandro 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
32EEGianluca 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
30EEFabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda: Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307
29EEAndrea Passerini, Paolo Frasconi, Giovanni Soda: Evaluation Methods for Focused Crawling. AI*IA 2001: 33-39
28EEYuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63
27EEGian Luca Marcialis, Fabio Roli, Paolo Frasconi: Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA 2001: 241-246
26EEYuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258
25EEMichelangelo Diligenti, Paolo Frasconi, Marco Gori: Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR 2001: 147-156
24EEPaolo Frasconi, Giovanni Soda, Alessandro Vullo: Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL 2001: 11-20
23EEPierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104
22EEPaolo 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
20EEFabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461
19EEPiero 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
18EEFabrizio 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)
16EEPaolo 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
14EEPaolo 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
10EEPaolo Frasconi: An Introduction to Learning Structured Information. Summer School on Neural Networks 1997: 99-120
9EEPaolo 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
7EEPaolo 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)
5EEPaolo 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
4EEYoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434
3EEYoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560
1993
2EEYoshua 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

Coauthor Index

1Claudia Andreini [57] [60]
2Pierre Baldi [17] [23] [32] [43] [55]
3Yoshua Bengio [2] [3] [4] [6]
4Søren Brunak [17] [23]
5Alessio Ceroni [36] [42] [49] [53] [59]
6Piero Cosi [19]
7Fabrizio Costa [18] [20] [30] [33] [40] [47] [48] [52] [59] [61] [66] [70]
8Michelangelo Diligenti [25] [39]
9Gary William Flake [45] [46]
10Enrico Francesconi [12]
11C. Lee Giles (Clyde Lee Giles) [45] [46]
12Marco Gori [1] [5] [7] [8] [9] [11] [12] [13] [14] [15] [16] [19] [21] [22] [25] [39]
13Manfred Jaeger [69]
14Kristian Kersting [63] [71]
15Matthieu Labbé [65]
16Niels Landwehr [58]
17Luca Lastrucci [19]
18Marco Lippi [64] [66] [72]
19Vincenzo Lombardo [20] [30] [33] [40]
20Marco Maggini [1] [7] [8] [13] [45] [46]
21Gian Luca Marcialis [27] [28] [37]
22Simone Marinai [12]
23Enrico Martinelli [13]
24Sauro Menchetti [48] [52] [57] [60] [61]
25Stephen Muggleton [71]
26Andrea Passerini [29] [34] [36] [42] [50] [51] [53] [54] [57] [58] [60] [64] [65] [66] [67] [68] [69] [70]
27Gianluca Pollastri [17] [23] [32] [49] [55] [70]
28Massimiliano Pontil [26] [28] [34] [37] [48]
29Marco Punta [64]
30Luc De Raedt [50] [54] [58] [71]
31Fabio Roli [27] [28] [37]
32Antonio Rosato [57] [60]
33Burkhard Rost [64]
34Jianqing Sheng [12]
35Padhraic Smyth [43]
36Giovanni Soda [1] [5] [7] [8] [9] [12] [13] [16] [17] [18] [19] [20] [23] [24] [29] [30] [31] [33] [40]
37Alessandro Sperduti [11] [12] [14] [15] [21] [22] [56]
38Antonina Starita [56]
39Patrick Sturt [33]
40Koji Tsuda [63]
41Marc Vincent [65]
42Alessandro Vullo [24] [31] [32] [35] [36] [38] [41] [42] [44] [53] [55] [70]
43Yuan Yao [26] [28] [37]

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)