Paolo Frasconi

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 23

Top Venues

Publications

Luca Bindini, Stefano Pagani, Andrea Bernardini, Benedetta Grossi, Andrea Giomi, Antonio Frontera, Paolo Frasconi
All-in-one electrical atrial substrate indicators with deep anomaly detection. Biomed. Signal Process. Control. 98 (2024)
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Learning Aggregation Functions. IJCAI (2021)
Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi
Marthe: Scheduling the Learning Rate Via Online Hypergradients. IJCAI (2020)
Stefano Martina, Leonardo Ventura, Paolo Frasconi
Classification of Cancer Pathology Reports: A Large-Scale Comparative Study. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi
Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. IJCAI (2020)
Luca Angioloni, Valentijn Borghuis, Lorenzo Brusci, Paolo Frasconi
CONLON: A Pseudo-Song Generator Based on a New Pianoroll, Wasserstein Autoencoders, and Optimal Interpolations. ISMIR (2020)
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning and Interpreting Multi-Multi-Instance Learning Networks. J. Mach. Learn. Res. 21 (2020)
Stefano Martina, Leonardo Ventura, Paolo Frasconi
Classification of cancer pathology reports: a large-scale comparative study. CoRR (2020)
Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger
Learning Aggregation Functions. CoRR (2020)
Michele Donini, Luca Franceschi, Massimiliano Pontil, Orchid Majumder, Paolo Frasconi
Scheduling the Learning Rate via Hypergradients: New Insights and a New Algorithm. CoRR (2019)
Francesco Orsini, Daniele Baracchi, Paolo Frasconi
Shift Aggregate Extract Networks. Frontiers Robotics AI 5 (2018)
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML (2018)
Alessandro Tibo, Manfred Jaeger, Paolo Frasconi
Learning and Interpreting Multi-Multi-Instance Learning Networks. CoRR (2018)
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Massimiliano Pontil
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. CoRR (2018)
Tijn Borghuis, Alessandro Tibo, Simone Conforti, Luca Canciello, Lorenzo Brusci, Paolo Frasconi
Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres. CoRR (2018)
Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR (2018)
Francesco Orsini, Daniele Baracchi, Paolo Frasconi
Shift Aggregate Extract Networks. CoRR (2017)
Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
Forward and Reverse Gradient-Based Hyperparameter Optimization. ICML (2017)
Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
A Bridge Between Hyperparameter Optimization and Larning-to-learn. CoRR (2017)
Francesco Orsini, Paolo Frasconi, Luc De Raedt
kProbLog: an algebraic Prolog for machine learning. Mach. Learn. 106 (12) (2017)
Alessandro Tibo, Paolo Frasconi, Manfred Jaeger
A Network Architecture for Multi-Multi-Instance Learning. ECML/PKDD (1) (2017)
Luca Franceschi, Michele Donini, Paolo Frasconi, Massimiliano Pontil
On Hyperparameter Optimization in Learning Systems. ICLR (Workshop) (2017)
Gianluca Corrado, Toma Tebaldi, Fabrizio Costa, Paolo Frasconi, Andrea Passerini
RNAcommender: genome-wide recommendation of RNA-protein interactions. Bioinform. 32 (23) (2016)
Francesco Orsini, Paolo Frasconi, Luc De Raedt
kProbLog: An Algebraic Prolog for Kernel Programming. ILP (2015)
Paolo Soda, Ludovica Acciai, Ermanno Cordelli, Irene Costantini, Leonardo Sacconi, Francesco Saverio Pavone, Valerio Conti, Renzo Guerrini, Paolo Frasconi, Giulio Iannello
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images. EMBC (2015)
Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave
kLog: A Language for Logical and Relational Learning with Kernels (Extended Abstract). IJCAI (2015)
Francesco Orsini, Paolo Frasconi, Luc De Raedt
Graph Invariant Kernels. IJCAI (2015)
Marco Paciscopi, Ludovico Silvestri, Francesco Saverio Pavone, Paolo Frasconi
Cell identification in whole-brain multiview images of neural activation. CoRR (2015)
Paolo Frasconi, Ludovico Silvestri, Paolo Soda, Roberto Cortini, Francesco Pavone, Giulio Iannello
Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images. Bioinform. 30 (17) (2014)
Alessandro Bria, Giulio Iannello, Paolo Soda, Hanchuan Peng, Giovanni Erbacci, Giuseppe Fiameni, Giacomo Mariani, Roberto Mucci, Marco Rorro, Francesco Pavone, Ludovico Silvestri, Paolo Frasconi, Roberto Cortini
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. HPCS (2014)
Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave
kLog: A language for logical and relational learning with kernels. Artif. Intell. 217 (2014)
Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt
kLogNLP: Graph Kernel-based Relational Learning of Natural Language. ACL (System Demonstrations) (2014)
Paolo Frasconi, Francesco Gabbrielli, Marco Lippi, Simone Marinai
Markov Logic Networks for Optical Chemical Structure Recognition. J. Chem. Inf. Model. 54 (8) (2014)
Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7 (2) (2013)
Marco Lippi, Matteo Bertini, Paolo Frasconi
Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning. IEEE Trans. Intell. Transp. Syst. 14 (2) (2013)
Manfred Jaeger, Marco Lippi, Andrea Passerini, Paolo Frasconi
Type Extension Trees for feature construction and learning in relational domains. Artif. Intell. 204 (2013)
Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt
A relational kernel-based approach to scene classification. WACV (2013)
Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave
kLog: A Language for Logical and Relational Learning with Kernels CoRR (2012)
Mathias Verbeke, Vincent Van Asch, Roser Morante, Paolo Frasconi, Walter Daelemans, Luc De Raedt
A Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. EMNLP-CoNLL (2012)
Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi
Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. ECML/PKDD (2) (2012)
Laura Antanas, Paolo Frasconi, Fabrizio Costa, Tinne Tuytelaars, Luc De Raedt
A Relational Kernel-Based Framework for Hierarchical Image Understanding. SSPR/SPR (2012)
Andrea Passerini, Marco Lippi, Paolo Frasconi
Predicting Metal-Binding Sites from Protein Sequence. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (1) (2012)
Paolo Frasconi, Francesca A. Lisi
Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010). Mach. Learn. 86 (1) (2012)
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini
Relational information gain. Mach. Learn. 83 (2) (2011)
Mathias Verbeke, Paolo Frasconi, Vincent Van Asch, Roser Morante, Walter Daelemans, Luc De Raedt
Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. ILP (2011)
Parisa Kordjamshidi, Paolo Frasconi, Martijn van Otterlo, Marie-Francine Moens, Luc De Raedt
Relational Learning for Spatial Relation Extraction from Natural Language. ILP (2011)
Andrea Passerini, Marco Lippi, Paolo Frasconi
MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Res. 39 (Web-Server-Issue) (2011)
Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
Fast learning of relational kernels. Mach. Learn. 78 (3) (2010)
Marco Lippi, Matteo Bertini, Paolo Frasconi
Collective Traffic Forecasting. ECML/PKDD (2) (2010)
Marco Lippi, Paolo Frasconi
Prediction of protein beta-residue contacts by Markov logic networks with grounding-specific weights. Bioinform. 25 (18) (2009)
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) (2008)
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)
Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi
A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinform. 9 (2008)
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. Bioinform. 24 (18) (2008)
Paolo Frasconi, Manfred Jaeger, Andrea Passerini
Feature Discovery with Type Extension Trees. ILP (2008)
Paolo Frasconi, Andrea Passerini
Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS (2008)
Paolo Frasconi
Learning with Kernels and Logical Representations. ILP (2007)
Alessio Ceroni, Fabrizio Costa, Paolo Frasconi
Classification of small molecules by two- and three-dimensional decomposition kernels. Bioinform. 23 (16) (2007)
Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi
Predicting zinc binding at the proteome level. BMC Bioinform. 8 (2007)
Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi
Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. J. Comput. Biol. 13 (3) (2006)
Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi
kFOIL: Learning Simple Relational Kernels. AAAI (2006)
Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi
DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. Nucleic Acids Res. 34 (Web-Server-Issue) (2006)
Andrea Passerini, Paolo Frasconi, Luc De Raedt
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. J. Mach. Learn. Res. 7 (2006)
Fabrizio Costa, Sauro Menchetti, Alessio Ceroni, Andrea Passerini, Paolo Frasconi
Decomposition Kernels for Natural Language Processing. Learning Structured Information@EACL (2006)
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)
Paolo Frasconi, Alessandro Sperduti, Antonina Starita
Kernel Machines, Neural Networks, and Graphical Models. Intelligenza Artificiale 3 (1-2) (2006)
Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda
Ambiguity resolution analysis in incremental parsing of natural language. IEEE Trans. Neural Networks 16 (4) (2005)
Andrea Passerini, Paolo Frasconi, Luc De Raedt
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. AAIP (2005)
Sauro Menchetti, Fabrizio Costa, Paolo Frasconi
Weighted decomposition kernels. ICML (2005)
Andrea Passerini, Paolo Frasconi, Luc De Raedt
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning (2005)
Andrea Passerini, Paolo Frasconi
Kernels on Prolog Ground Terms. IJCAI (2005)
Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil
Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognit. Lett. 26 (12) (2005)
Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri
Learning protein secondary structure from sequential and relational data. Neural Networks 18 (8) (2005)
Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
Guest editorial: Machine learning for the Internet. ACM Trans. Internet Techn. 4 (2) (2004)
Fabrizio Costa, Paolo Frasconi
Distributed community crawling. WWW (Alternate Track Papers & Posters) (2004)
Alessandro Vullo, Paolo Frasconi
Disulfide connectivity prediction using recursive neural networks and evolutionary information. Bioinform. 20 (5) (2004)
Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
New results on error correcting output codes of kernel machines. IEEE Trans. Neural Networks 15 (1) (2004)
Gary William Flake, Paolo Frasconi, C. Lee Giles, Marco Maggini
Guest editorial: Machine learning for the Internet. ACM Trans. Internet Techn. 4 (4) (2004)
Alessio Ceroni, Paolo Frasconi, Alessandro Vullo
-Sheet Motifs and Secondary Structure. WIRN (2004)
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 Recognit. 36 (2) (2003)
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)
Alessandro Vullo, Paolo Frasconi
A Recursive Connectionist Approach for Predicting Disulfide Connectivity in Proteins. SAC (2003)
Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo
Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. J. VLSI Signal Process. 35 (3) (2003)
Alessandro Vullo, Paolo Frasconi
Prediction of Protein Coarse Contact Maps. J. Bioinform. Comput. Biol. 1 (2) (2003)
Michelangelo Diligenti, Paolo Frasconi, Marco Gori
Hidden Tree Markov Models for Document Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 25 (4) (2003)
Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Giovanni Soda
Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. Appl. Intell. 19 (1-2) (2003)
Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi
Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS (2002)
Andrea Passerini, Massimiliano Pontil, Paolo Frasconi
From Margins to Probabilities in Multiclass Learning Problems. ECAI (2002)
Paolo Frasconi, Andrea Passerini, Alessandro Vullo
A two-stage SVM architecture for predicting the disulfide bonding state of cysteines. NNSP (2002)
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
Hidden Markov Models for Text Categorization in Multi-Page Documents. J. Intell. Inf. Syst. 18 (2-3) (2002)
Alessandro Vullo, Paolo Frasconi
A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. CSB (2002)
Fabrizio Costa, Paolo Frasconi, Vincenzo Lombardo, Patrick Sturt, Giovanni Soda
Enhancing First-Pass Attachment Prediction. ECAI (2002)
Paolo Frasconi, Marco Gori, Franz J. Kurfess, Alessandro Sperduti
Special issue on integration of symbolic and connectionist systems. Cogn. Syst. Res. 3 (2) (2002)
Andrea Passerini, Paolo Frasconi, Giovanni Soda
Evaluation Methods for Focused Crawling. AI*IA (2001)
Gian Luca Marcialis, Fabio Roli, Paolo Frasconi
Fingerprint Classification by Combination of Flat and Structural Approaches. AVBPA (2001)
Yuan Yao, Paolo Frasconi, Massimiliano Pontil
Fingerprint Classification with Combinations of Support Vector Machines. AVBPA (2001)
Paolo Frasconi, Giovanni Soda, Alessandro Vullo
Text categorization for multi-page documents: a hybrid naive Bayes HMM approach. JCDL (2001)
Fabrizio Costa, Vincenzo Lombardo, Paolo Frasconi, Giovanni Soda
Wide Coverage Incremental Parsing by Learning Attachment Preferences. AI*IA (2001)
Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda
Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning (2001)
Michelangelo Diligenti, Paolo Frasconi, Marco Gori
Image Document Categorization Using Hidden Tree Markov Models and Structured Representations. ICAPR (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paolo Frasconi