Paolo Frasconi

	2009
73		Marco Lippi, Paolo Frasconi: Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. Bioinformatics 25(18): 2326-2333 (2009)
	2008
72		Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
71		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
70		Paolo Frasconi, Manfred Jaeger, Andrea Passerini: Feature Discovery with Type Extension Trees. ILP 2008: 122-139
69		Paolo Frasconi, Andrea Passerini: Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS 2008: 465-472
68		Paolo Frasconi, Andrea Passerini: Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming 2008: 56-91
67		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)
66		Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi: A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinformatics 9: (2008)
65		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
64		Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007
63		Paolo Frasconi: Learning with Kernels and Logical Representations. ILP 2007: 1-3
62		Fabrizio Costa, Sauro Menchetti, Paolo Frasconi: Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48
61		Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi: Predicting zinc binding at the proteome level. BMC Bioinformatics 8: (2007)
60		Alessio Ceroni, Fabrizio Costa, Paolo Frasconi: Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinformatics 23(16): 2038-2045 (2007)
	2006
59		Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006
58		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
57		Paolo Frasconi, Alessandro Sperduti, Antonina Starita: Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale 3(1-2): 72-78 (2006)
56		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)
55		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)
54		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
53		Sauro Menchetti, Fabrizio Costa, Paolo Frasconi: Weighted decomposition kernels. ICML 2005: 585-592
52		Andrea Passerini, Paolo Frasconi: Kernels on Prolog Ground Terms. IJCAI 2005: 1626-1627
51		Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005
50		Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005)
49		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
48		Fabrizio Costa, Paolo Frasconi: Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363
47		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)
46		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)
45		Alessandro Vullo, Paolo Frasconi: Disulfide connectivity prediction using recursive neural networks and evolutionary information. Bioinformatics 20(5): 653-659 (2004)
	2003
44		Pierre Baldi, Paolo Frasconi, Padhraic Smyth: Modeling the Internet and the Web: Probabilistic Method and Algorithms John Wiley 2003
43		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
42		Alessandro Vullo, Paolo Frasconi: A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. SAC 2003: 67-71
41		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)
40		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)
39		Alessandro Vullo, Paolo Frasconi: Prediction of Protein Coarse Contact Maps. J. Bioinformatics and Computational Biology 1(2): 411-431 (2003)
38		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)
37		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
36		Alessandro Vullo, Paolo Frasconi: A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. CSB 2002: 187-196
35		Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404
34		Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Enhancing First-Pass Attachment Prediction. ECAI 2002: 508-512
33		Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi: Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456
32		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
31		Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda: Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307
30		Andrea Passerini, Paolo Frasconi, Giovanni Soda: Evaluation Methods for Focused Crawling. AI*IA 2001: 33-39
29		Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63
28		Gian Luca Marcialis, Fabio Roli, Paolo Frasconi: Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA 2001: 241-246
27		Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258
26		Michelangelo Diligenti, Paolo Frasconi, Marco Gori: Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR 2001: 147-156
25		Paolo Frasconi, Giovanni Soda, Alessandro Vullo: Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL 2001: 11-20
24		Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104
23		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
22		Marco Gori, Paolo Frasconi, Alessandro Sperduti: Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI 2000: 301-305
21		Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461
20		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
19		Fabrizio Costa, Paolo Frasconi, Giovanni Soda: A topological transformation for hidden recursive modelsarchitecture networks. ESANN 1999: 51-56
18		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)
17		Paolo Frasconi, Marco Gori, Giovanni Soda: Data Categorization Using Decision Trellises. IEEE Trans. Knowl. Data Eng. 11(5): 697-712 (1999)
	1998
16		Paolo Frasconi, Marco Gori, Alessandro Sperduti: Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems 1998: 211-225
15		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
14		Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda: Inductive Inference of Tree Automata by Recursive Neural Networks. AI*IA 1997: 36-47
13		Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti: Logo Recognition by Recursive Neural Networks. GREC 1997: 104-117
12		Paolo Frasconi, Marco Gori, Alessandro Sperduti: On the Efficient Classification of Data Structures by Neural Networks. IJCAI 1997: 1066-1071
11		Paolo Frasconi: An Introduction to Learning Structured Information. Summer School on Neural Networks 1997: 99-120
10		Paolo Frasconi, Marco Gori, Giovanni Soda: Links between LVQ and Backpropagation. Pattern Recognition Letters 18(4): 303-310 (1997)
	1996
9		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
8		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)
7		Yoshua Bengio, Paolo Frasconi: Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. (JAIR) 3: 249-270 (1995)
6		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
5		Yoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434
4		Yoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560
	1993
3		Yoshua Bengio, Paolo Frasconi: Credit Assignment through Time: Alternatives to Backpropagation. NIPS 1993: 75-82
	1992
2		Paolo Frasconi, Marco Gori, Giovanni Soda: Local Feedback Multilayered Networks. Neural Computation 4(1): 120-130 (1992)
	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

1	Claudia Andreini	[58] [61]
2	Pierre Baldi	[18] [24] [33] [44] [56]
3	Yoshua Bengio	[3] [4] [5] [7]
4	Søren Brunak	[18] [24]
5	Alessio Ceroni	[37] [43] [50] [54] [60]
6	Piero Cosi	[20]
7	Fabrizio Costa	[19] [21] [31] [34] [41] [48] [49] [53] [60] [62] [67] [71]
8	Michelangelo Diligenti	[26] [40]
9	Gary William Flake	[46] [47]
10	Enrico Francesconi	[13]
11	C. Lee Giles (Clyde Lee Giles)	[46] [47]
12	Marco Gori	[1] [2] [6] [8] [9] [10] [12] [13] [14] [15] [16] [17] [20] [22] [23] [26] [40]
13	Manfred Jaeger	[70]
14	Kristian Kersting	[64] [72]
15	Matthieu Labbé	[66]
16	Niels Landwehr	[59]
17	Luca Lastrucci	[20]
18	Marco Lippi	[65] [67] [73]
19	Vincenzo Lombardo	[21] [31] [34] [41]
20	Marco Maggini	[1] [8] [9] [14] [46] [47]
21	Gian Luca Marcialis	[28] [29] [38]
22	Simone Marinai	[13]
23	Enrico Martinelli	[14]
24	Sauro Menchetti	[49] [53] [58] [61] [62]
25	Stephen Muggleton	[72]
26	Andrea Passerini	[30] [35] [37] [43] [51] [52] [54] [55] [58] [59] [61] [65] [66] [67] [68] [69] [70] [71]
27	Gianluca Pollastri	[18] [24] [33] [50] [56] [71]
28	Massimiliano Pontil	[27] [29] [35] [38] [49]
29	Marco Punta	[65]
30	Luc De Raedt	[51] [55] [59] [72]
31	Fabio Roli	[28] [29] [38]
32	Antonio Rosato	[58] [61]
33	Burkhard Rost	[65]
34	Jianqing Sheng	[13]
35	Padhraic Smyth	[44]
36	Giovanni Soda	[1] [2] [6] [8] [9] [10] [13] [14] [17] [18] [19] [20] [21] [24] [25] [30] [31] [32] [34] [41]
37	Alessandro Sperduti	[12] [13] [15] [16] [22] [23] [57]
38	Antonina Starita	[57]
39	Patrick Sturt	[34]
40	Koji Tsuda	[64]
41	Marc Vincent	[66]
42	Alessandro Vullo	[25] [32] [33] [36] [37] [39] [42] [43] [45] [54] [56] [71]
43	Yuan Yao	[27] [29] [38]