| 2008 |
|---|
| 63 | | Luc De Raedt,
Paolo Frasconi,
Kristian Kersting,
Stephen Muggleton:
Probabilistic Inductive Logic Programming - Theory and Applications
Springer 2008 |
| 62 | 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 |
| 61 | EE | Paolo Frasconi,
Andrea Passerini:
Learning with Kernels and Logical Representations.
Probabilistic Inductive Logic Programming 2008: 56-91 |
| 2007 |
|---|
| 60 | | Paolo Frasconi,
Kristian Kersting,
Koji Tsuda:
Mining and Learning with Graphs, MLG 2007, Firence, Italy, August 1-3, 2007, Proceedings
MLG 2007 |
| 59 | EE | Paolo Frasconi:
Learning with Kernels and Logical Representations.
ILP 2007: 1-3 |
| 58 | EE | Fabrizio Costa,
Sauro Menchetti,
Paolo Frasconi:
Comparing Sequence Classification Algorithms for Protein Subcellular Localization.
Perspectives of Neural-Symbolic Integration 2007: 23-48 |
| 57 | 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 |
|---|
| 56 | | Niels Landwehr,
Andrea Passerini,
Luc De Raedt,
Paolo Frasconi:
kFOIL: Learning Simple Relational Kernels.
AAAI 2006 |
| 55 | 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 |
| 54 | | Paolo Frasconi,
Alessandro Sperduti,
Antonina Starita:
Kernel Machines, Neural Networks, and Graphical Models.
Intelligenza Artificiale 3(1-2): 72-78 (2006) |
| 53 | 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) |
| 52 | 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 |
|---|
| 51 | EE | Sauro Menchetti,
Fabrizio Costa,
Paolo Frasconi:
Weighted decomposition kernels.
ICML 2005: 585-592 |
| 50 | EE | Andrea Passerini,
Paolo Frasconi:
Kernels on Prolog Ground Terms.
IJCAI 2005: 1626-1627 |
| 49 | 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 |
| 48 | EE | Alessio Ceroni,
Paolo Frasconi,
Gianluca Pollastri:
Learning protein secondary structure from sequential and relational data.
Neural Networks 18(8): 1029-1039 (2005) |
| 47 | 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 |
|---|
| 46 | EE | Fabrizio Costa,
Paolo Frasconi:
Distributed community crawling.
WWW (Alternate Track Papers & Posters) 2004: 362-363 |
| 45 | 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) |
| 44 | 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) |
| 43 | EE | Alessandro Vullo,
Paolo Frasconi:
Disulfide connectivity prediction using recursive neural networks and evolutionary information.
Bioinformatics 20(5): 653-659 (2004) |
| 2003 |
|---|
| 42 | | Pierre Baldi,
Paolo Frasconi,
Padhraic Smyth:
Modeling the Internet and the Web: Probabilistic Method and Algorithms
John Wiley 2003 |
| 41 | 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 |
| 40 | | Alessandro Vullo,
Paolo Frasconi:
A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins.
SAC 2003: 67-71 |
| 39 | | 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) |
| 38 | 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) |
| 37 | EE | Alessandro Vullo,
Paolo Frasconi:
Prediction of Protein Coarse Contact Maps.
J. Bioinformatics and Computational Biology 1(2): 411-431 (2003) |
| 36 | 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) |
| 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 |
