Paolo Frasconi

	2012
86		Andrea Passerini, Marco Lippi, Paolo Frasconi: Predicting Metal-Binding Sites from Protein Sequence. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 203-213 (2012)
85		Paolo Frasconi, Francesca A. Lisi: Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010). Machine Learning 86(1): 1-2 (2012)
	2011
84		Paolo Frasconi, Francesca A. Lisi: Inductive Logic Programming - 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010. Revised Papers Springer 2011
83		Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini: Relational information gain. Machine Learning 83(2): 219-239 (2011)
82		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)
	2010
81		Marco Lippi, Matteo Bertini, Paolo Frasconi: Collective Traffic Forecasting. ECML/PKDD (2) 2010: 259-273
80		Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: Fast learning of relational kernels. Machine Learning 78(3): 305-342 (2010)
	2009
79		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
78		Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton: Probabilistic Inductive Logic Programming - Theory and Applications Springer 2008
77		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
76		Paolo Frasconi, Manfred Jaeger, Andrea Passerini: Feature Discovery with Type Extension Trees. ILP 2008: 122-139
75		Paolo Frasconi, Andrea Passerini: Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS 2008: 465-472
74		Paolo Frasconi, Andrea Passerini: Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming 2008: 56-91
73		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)
72		Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi: A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinformatics 9: (2008)
71		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
70		Paolo Frasconi, Kristian Kersting, Koji Tsuda: Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings MLG 2007
69		Paolo Frasconi: Learning with Kernels and Logical Representations. ILP 2007: 1-3
68		Fabrizio Costa, Sauro Menchetti, Paolo Frasconi: Comparing Sequence Classification Algorithms for Protein Subcellular Localization. Perspectives of Neural-Symbolic Integration 2007: 23-48
67		Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi: Predicting zinc binding at the proteome level. BMC Bioinformatics 8: (2007)
66		Alessio Ceroni, Fabrizio Costa, Paolo Frasconi: Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinformatics 23(16): 2038-2045 (2007)
	2006
65		Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006: 389-394
64		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
63		Paolo Frasconi, Alessandro Sperduti, Antonina Starita: Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale 3(1-2): 72-78 (2006)
62		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)
61		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)
60		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
59		Sauro Menchetti, Fabrizio Costa, Paolo Frasconi: Weighted decomposition kernels. ICML 2005: 585-592
58		Andrea Passerini, Paolo Frasconi: Kernels on Prolog Ground Terms. IJCAI 2005: 1626-1627
57		Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005
56		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)
55		Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri: Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005)
54		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
53		Alessio Ceroni, Paolo Frasconi, Alessandro Vullo: Protein Structure Assembly from Knowledge of β -Sheet Motifs and Secondary Structure. WIRN 2004: 45-52
52		Fabrizio Costa, Paolo Frasconi: Distributed community crawling. WWW (Alternate Track Papers & Posters) 2004: 362-363
51		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)
50		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)
49		Alessandro Vullo, Paolo Frasconi: Disulfide connectivity prediction using recursive neural networks and evolutionary information. Bioinformatics 20(5): 653-659 (2004)
48		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)
	2003
47		Pierre Baldi, Paolo Frasconi, Padhraic Smyth: Modeling the Internet and the Web: Probabilistic Method and Algorithms John Wiley 2003
46		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
45		Alessandro Vullo, Paolo Frasconi: A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. SAC 2003: 67-71
44		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)
43		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)
42		Alessandro Vullo, Paolo Frasconi: Prediction of Protein Coarse Contact Maps. J. Bioinformatics and Computational Biology 1(2): 411-431 (2003)
41		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)
40		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
39		Alessandro Vullo, Paolo Frasconi: A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. CSB 2002: 187-196
38		Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404
37		Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda: Enhancing First-Pass Attachment Prediction. ECAI 2002: 508-512
36		Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi: Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456
35		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)
34		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
33		Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda: Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA 2001: 297-307
32		Andrea Passerini, Paolo Frasconi, Giovanni Soda: Evaluation Methods for Focused Crawling. AI*IA 2001: 33-39
31		Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63
30		Gian Luca Marcialis, Fabio Roli, Paolo Frasconi: Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA 2001: 241-246
29		Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258
28		Michelangelo Diligenti, Paolo Frasconi, Marco Gori: Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR 2001: 147-156
27		Paolo Frasconi, Giovanni Soda, Alessandro Vullo: Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL 2001: 11-20
26		Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda: Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104
25		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
24		Marco Gori, Paolo Frasconi, Alessandro Sperduti: Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations. ECAI 2000: 301-305
23		Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda: Learning incremental syntactic structures with recursive neural networks. KES 2000: 458-461
22		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
21		Fabrizio Costa, Paolo Frasconi, Giovanni Soda: A topological transformation for hidden recursive modelsarchitecture networks. ESANN 1999: 51-56
20		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)
19		Paolo Frasconi, Marco Gori, Giovanni Soda: Data Categorization Using Decision Trellises. IEEE Trans. Knowl. Data Eng. 11(5): 697-712 (1999)
	1998
18		Paolo Frasconi, Marco Gori, Alessandro Sperduti: Integration of Graphical Rules with Adaptive Learning of Structured Information. Hybrid Neural Systems 1998: 211-225
17		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
16		Paolo Frasconi, Marco Gori, Marco Maggini, Enrico Martinelli, Giovanni Soda: Inductive Inference of Tree Automata by Recursive Neural Networks. AI*IA 1997: 36-47
15		Enrico Francesconi, Paolo Frasconi, Marco Gori, Simone Marinai, Jianqing Sheng, Giovanni Soda, Alessandro Sperduti: Logo Recognition by Recursive Neural Networks. GREC 1997: 104-117
14		Paolo Frasconi, Marco Gori, Alessandro Sperduti: On the Efficient Classification of Data Structures by Neural Networks. IJCAI 1997: 1066-1071
13		Paolo Frasconi: An Introduction to Learning Structured Information. Summer School on Neural Networks 1997: 99-120
12		Paolo Frasconi, Marco Gori, Giovanni Soda: Links between LVQ and Backpropagation. Pattern Recognition Letters 18(4): 303-310 (1997)
	1996
11		Paolo Frasconi, Marco Gori, Giovanni Soda: Decision Trellis Models for Tuple Categorization in Databases. SEBD 1996: 347-364
10		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
9		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)
8		Yoshua Bengio, Paolo Frasconi: Diffusion of Context and Credit Information in Markovian Models. J. Artif. Intell. Res. (JAIR) 3: 249-270 (1995)
7		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
6		Yoshua Bengio, Paolo Frasconi: An Input Output HMM Architecture. NIPS 1994: 427-434
5		Yoshua Bengio, Paolo Frasconi: Diffusion of Credit in Markovian Models. NIPS 1994: 553-560
	1993
4		Yoshua Bengio, Paolo Frasconi: Credit Assignment through Time: Alternatives to Backpropagation. NIPS 1993: 75-82
	1992
3		Piero Cosi, Paolo Frasconi, Marco Gori, N. Griggio: Phonetic recognition experiments with recurrent neural networks. ICSLP 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	[64] [67]
2	Pierre Baldi	[20] [26] [36] [47] [62]
3	Yoshua Bengio	[4] [5] [6] [8]
4	Matteo Bertini	[81]
5	Søren Brunak	[20] [26]
6	Alessio Ceroni	[40] [46] [53] [55] [60] [66]
7	Piero Cosi	[3] [22]
8	Fabrizio Costa	[21] [23] [33] [37] [44] [52] [54] [56] [59] [66] [68] [73] [77]
9	Michelangelo Diligenti	[28] [43]
10	Gary William Flake	[50] [51]
11	Enrico Francesconi	[15]
12	C. Lee Giles (Clyde Lee Giles)	[50] [51]
13	Marco Gori	[1] [2] [3] [7] [9] [10] [11] [12] [14] [15] [16] [17] [18] [19] [22] [24] [25] [28] [35] [43]
14	N. Griggio	[3]
15	Manfred Jaeger	[76] [83]
16	Kristian Kersting	[70] [78]
17	Franz J. Kurfess	[35]
18	Matthieu Labbé	[72]
19	Niels Landwehr	[65] [80]
20	Luca Lastrucci	[22]
21	Marco Lippi	[71] [73] [79] [81] [82] [83] [86]
22	Francesca A. Lisi	[84] [85]
23	Vincenzo Lombardo	[23] [33] [37] [44] [56]
24	Marco Maggini	[1] [9] [10] [16] [50] [51]
25	Gian Luca Marcialis	[30] [31] [41]
26	Simone Marinai	[15]
27	Enrico Martinelli	[16]
28	Sauro Menchetti	[54] [59] [64] [67] [68]
29	Stephen Muggleton	[78]
30	Andrea Passerini	[32] [38] [40] [46] [48] [57] [58] [60] [61] [64] [65] [67] [71] [72] [73] [74] [75] [76] [77] [80] [82] [83] [86]
31	Gianluca Pollastri	[20] [26] [36] [55] [62] [77]
32	Massimiliano Pontil	[29] [31] [38] [41] [48] [54]
33	Marco Punta	[71]
34	Luc De Raedt	[57] [61] [65] [78] [80]
35	Fabio Roli	[30] [31] [41]
36	Antonio Rosato	[64] [67]
37	Burkhard Rost	[71]
38	Jianqing Sheng	[15]
39	Padhraic Smyth	[47]
40	Giovanni Soda	[1] [2] [7] [9] [10] [11] [12] [15] [16] [19] [20] [21] [22] [23] [26] [27] [32] [33] [34] [37] [44] [56]
41	Alessandro Sperduti	[14] [15] [17] [18] [24] [25] [35] [63]
42	Antonina Starita	[63]
43	Patrick Sturt	[37] [56]
44	Koji Tsuda	[70]
45	Marc Vincent	[72]
46	Alessandro Vullo	[27] [34] [36] [39] [40] [42] [45] [46] [49] [53] [60] [62] [77]
47	Yuan Yao	[29] [31] [41]

Colors in the list of coauthors

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page