Paolo Frasconi

According to our database1, Paolo Frasconi authored at least 125 papers between 1991 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Shift Aggregate Extract Networks.
Front. Robotics and AI, 2018

Learning and Interpreting Multi-Multi-Instance Learning Networks.
CoRR, 2018

Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning.
CoRR, 2018

Bilevel Programming for Hyperparameter Optimization and Meta-Learning.
CoRR, 2018

Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres.
CoRR, 2018

Bilevel Programming for Hyperparameter Optimization and Meta-Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
kProbLog: an algebraic Prolog for machine learning.
Machine Learning, 2017

A Bridge Between Hyperparameter Optimization and Larning-to-learn.
CoRR, 2017

Shift Aggregate Extract Networks.
CoRR, 2017

A Network Architecture for Multi-Multi-Instance Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Forward and Reverse Gradient-Based Hyperparameter Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
RNAcommender: genome-wide recommendation of RNA-protein interactions.
Bioinformatics, 2016

2015
Cell identification in whole-brain multiview images of neural activation.
CoRR, 2015

kProbLog: An Algebraic Prolog for Kernel Programming.
Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Graph Invariant Kernels.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract).
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Markov Logic Networks for Optical Chemical Structure Recognition.
Journal of Chemical Information and Modeling, 2014

Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images.
Bioinformatics, 2014

kLog: A language for logical and relational learning with kernels.
Artif. Intell., 2014

A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

kLogNLP: Graph Kernel-based Relational Learning of Natural Language.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning.
IEEE Trans. Intelligent Transportation Systems, 2013

Italian Machine Learning and Data Mining research: The last years.
Intelligenza Artificiale, 2013

Type Extension Trees for feature construction and learning in relational domains.
Artif. Intell., 2013

A relational kernel-based approach to scene classification.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

2012
Predicting Metal-Binding Sites from Protein Sequence.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010).
Machine Learning, 2012

kLog: A Language for Logical and Relational Learning with Kernels
CoRR, 2012

A Relational Kernel-Based Framework for Hierarchical Image Understanding.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence.
Nucleic Acids Research, 2011

Relational information gain.
Machine Learning, 2011

Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

Relational Learning for Spatial Relation Extraction from Natural Language.
Proceedings of the Inductive Logic Programming - 21st International Conference, 2011

2010
Fast learning of relational kernels.
Machine Learning, 2010

Collective Traffic Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights.
Bioinformatics, 2009

2008
A simplified approach to disulfide connectivity prediction from protein sequences.
BMC Bioinformatics, 2008

MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence.
Bioinformatics, 2008

A semiparametric generative model for efficient structured-output supervised learning.
Ann. Math. Artif. Intell., 2008

Predicting the Geometry of Metal Binding Sites from Protein Sequence.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning with Kernels and Logical Representations.
Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

Feature Discovery with Type Extension Trees.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways.
Proceedings of the Evolutionary Computation, 2008

2007
Comparing Sequence Classification Algorithms for Protein Subcellular Localization.
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007

Predicting zinc binding at the proteome level.
BMC Bioinformatics, 2007

Classification of small molecules by two- and three-dimensional decomposition kernels.
Bioinformatics, 2007

Learning with Kernels and Logical Representations.
Proceedings of the Inductive Logic Programming, 17th International Conference, 2007

2006
DISULFIND: a disulfide bonding state and cysteine connectivity prediction server.
Nucleic Acids Research, 2006

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
Journal of Machine Learning Research, 2006

Modular DAG-RNN Architectures for Assembling Coarse Protein Structures.
Journal of Computational Biology, 2006

Kernel Machines, Neural Networks, and Graphical Models.
Intelligenza Artificiale, 2006

Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence.
Proceedings of the Research in Computational Molecular Biology, 2006

Decomposition Kernels for Natural Language Processing.
Proceedings of the Workshop on Learning Structured Information in Natural Language Applications@EACL 2006, 2006

kFOIL: Learning Simple Relational Kernels.
Proceedings of the Proceedings, 2006

2005
Ambiguity resolution analysis in incremental parsing of natural language.
IEEE Trans. Neural Networks, 2005

Wide coverage natural language processing using kernel methods and neural networks for structured data.
Pattern Recognition Letters, 2005

Learning protein secondary structure from sequential and relational data.
Neural Networks, 2005

Kernels on Prolog Ground Terms.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Weighted decomposition kernels.
Proceedings of the Machine Learning, 2005

Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

2004
Guest editorial: Machine learning for the Internet.
ACM Trans. Internet Techn., 2004

Guest editorial: Machine learning for the Internet.
ACM Trans. Internet Techn., 2004

New results on error correcting output codes of kernel machines.
IEEE Trans. Neural Networks, 2004

Disulfide connectivity prediction using recursive neural networks and evolutionary information.
Bioinformatics, 2004

Distributed community crawling.
Proceedings of the 13th international conference on World Wide Web, 2004

Protein Structure Assembly from Knowledge of β -Sheet Motifs and Secondary Structure.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

2003
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines.
VLSI Signal Processing, 2003

Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines.
Pattern Recognition, 2003

Hidden Tree Markov Models for Document Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Prediction of Protein Coarse Contact Maps.
J. Bioinformatics and Computational Biology, 2003

Towards Incremental Parsing of Natural Language Using Recursive Neural Networks.
Appl. Intell., 2003

A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins.
Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

Modeling the Internet and the Web: Probabilistic Method and Algorithms
John Wiley, ISBN: 0-470-84906-1, 2003

2002
Hidden Markov Models for Text Categorization in Multi-Page Documents.
J. Intell. Inf. Syst., 2002

Special issue on integration of symbolic and connectionist systems.
Cognitive Systems Research, 2002

A two-stage SVM architecture for predicting the disulfide bonding state of cysteines.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Prediction of Protein Topologies Using Generalized IOHMMS and RNNs.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

From Margins to Probabilities in Multiclass Learning Problems.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002

Enhancing First-Pass Attachment Prediction.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002

A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps.
Proceedings of the 1st IEEE Computer Society Bioinformatics Conference, 2002

2001
Guest Editors' Introduction: Special Section on Connectionist Models for Learning in Structured Domains.
IEEE Trans. Knowl. Data Eng., 2001

Bidirectional Dynamics for Protein Secondary Structure Prediction.
Proceedings of the Sequence Learning - Paradigms, Algorithms, and Applications, 2001

Text categorization for multi-page documents: a hybrid naive Bayes HMM approach.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Image Document Categorization Using Hidden Tree Markov Models and Structured Representations.
Proceedings of the Advances in Pattern Recognition, 2001

Fingerprint Classification with Combinations of Support Vector Machines.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2001

Fingerprint Classification by Combination of Flat and Structural Approaches.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2001

A New Machine Learning Approach to Fingerprint Classification.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

Evaluation Methods for Focused Crawling.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

Wide Coverage Incremental Parsing by Learning Attachment Preferences.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

2000
Competitive radial basis functions training for phone classification.
Neurocomputing, 2000

Learning incremental syntactic structures with recursive neural networks.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Learning Efficiently with Neural Networks: A Theoretical Comparison between Structured and Flat Representations.
Proceedings of the ECAI 2000, 2000

1999
Data Categorization Using Decision Trellises.
IEEE Trans. Knowl. Data Eng., 1999

Exploiting the past and the future in protein secondary structure prediction.
Bioinformatics, 1999

A topological transformation for hidden recursive modelsarchitecture networks.
Proceedings of the ESANN 1999, 1999

1998
A general framework for adaptive processing of data structures.
IEEE Trans. Neural Networks, 1998

Integration of Graphical Rules with Adaptive Learning of Structured Information.
Proceedings of the Hybrid Neural Systems, 1998

1997
Links between LVQ and Backpropagation.
Pattern Recognition Letters, 1997

An Introduction to Learning Structured Information.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

On the Efficient Classification of Data Structures by Neural Networks.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Logo Recognition by Recursive Neural Networks.
Proceedings of the Graphics Recognition, 1997

Inductive Inference of Tree Automata by Recursive Neural Networks.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

1996
Computational capabilities of local-feedback recurrent networks acting as finite-state machines.
IEEE Trans. Neural Networks, 1996

Input-output HMMs for sequence processing.
IEEE Trans. Neural Networks, 1996

Representation of Finite State Automata in Recurrent Radial Basis Function Networks.
Machine Learning, 1996

Decision Trellis Models for Tuple Categorization in Databases.
Proceedings of the Atti del Quarto Convegno Nazionale su Sistemi Evoluti per Basi di Dati (4th National Conference on Advanced Database Systems), 1996

1995
Learning without local minima in radial basis function networks.
IEEE Trans. Neural Networks, 1995

Learning in multilayered networks used as autoassociators.
IEEE Trans. Neural Networks, 1995

Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks.
IEEE Trans. Knowl. Data Eng., 1995

Recurrent neural networks and prior knowledge for sequence processing: a constrained nondeterministic approach.
Knowl.-Based Syst., 1995

Diffusion of Context and Credit Information in Markovian Models.
J. Artif. Intell. Res., 1995

Diffusion of Context and Credit Information in Markovian Models.
CoRR, 1995

1994
Learning long-term dependencies with gradient descent is difficult.
IEEE Trans. Neural Networks, 1994

Diffusion of Credit in Markovian Models.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

An Input Output HMM Architecture.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

An EM approach to grammatical inference: input/output HMMs.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Inductive Inference of Regular Grammars Using Recurrent Networks: A Critical Analysis.
Proceedings of the ICLP 1994 Workshop W3: Logic and Reasoning with Neural Networks, 1994

1993
Credit Assignment through Time: Alternatives to Backpropagation.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Local Feedback Multilayered Networks.
Neural Computation, 1992

Phonetic recognition experiments with recurrent neural networks.
Proceedings of the Second International Conference on Spoken Language Processing, 1992

1991
KL: A Neural Model for Capturing Structure in Speech.
Proceedings of the Trends in Artificial Intelligence, 1991


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