Personale

Recapiti

Orario di ricevimento

Italiano

Curriculum

Note

Pubblicazioni

Insegnamenti

English

Curriculum

Paolo FRASCONI

Ruolo attuale:: Professore Ordinario
SSD:: IINF-05/A - Sistemi di elaborazione delle informazioni
Afferenza organizzativa:: Dipartimento di Ingegneria dell'Informazione

Recapiti

	0552758647
	paolo.frasconi(AT)unifi.it

Ulteriori Recapiti

	paolo DOT frasconi AT pm DOT me
	http://ai.dinfo.unifi.it/paolo/

Paolo FRASCONI

Curriculum

Education

Ph.D. in Computer Engineering, 1994, Università degli Studi di Firenze. Thesis: Recurrent neural networks and adaptive processing of sequences.
Laurea degree, Electronics Engineering, 1990 Università degli Studi di Firenze, Cum Laude.

Academic Positions

Full Professor. Dec. 2010 -- present. Università degli Studi di Firenze.
Visiting Professor. K.U. Leuven, 2010.
Associate Professor. Nov. 1999 - 2010. Università degli Studi di Firenze.
Associate Professor. Nov. 1998 Ott. 1999. Università degli Studi di Cagliari
Lecturer. Jun 1998Oct. 1998. School of Information Technology and Computer Science, University of Wollongong (Australia).
Assistant Professor. Jul. 1995 Oct. 1998. Università degli Studi di Firenze (Ingegneria).
Contract Professor. 1993. Università degli Studi di Siena.
Visiting Scholar 1992. Dept. of Brain and Cognitive Sciences, M.I.T.

Grants

Main funded research projects:
- Strumenti di Supporto allAgenzia per la Mobilità Metropolitana (tools in supports of the metropolitan mobility agency); (2008-2009) founded by the Florence Foundation for Research and Innovation.
- BIOPTRAIN, Bioinformatics Optimization Trining, Marie Curie EST, 20052009; funded by the European Commission.
- APrIL II, Applications of Inductive Logic Programming, FET, 20032007; funded by the European Commission.
- BIOPATTERN, Network of Excellence, 20032008; funded by the European Commission.
- Machine learning tools for text analysis and retrieval, (2003-2004); funded by Italian Ministry of University and Research.
- Machine learning tools for structural and functional genomics, as National Coordinator, (2002-2003); funded by Italian Ministry of University and Research.
- Machine learning techniques for quantitative analysis of chemichal compounds, (2001-2002); funded by Italian Ministry of University and Research.

Professional activities

Journal Special Issues: Journal of Machine Learning Research (2008) [120] (with K. Kersting, H. Toivonen, K. Tsuda), ACM Transactions on Internet Technology (2004) [122;121] (with M. Maggini, C.L. Giles, G. Flakes), Cognitive Systems Research (2002) [123] (with M. Gori, A. Sperduti), IEEE Transactions on Knowledge and Data Engineering (2001) [124] (with M. Gori, A. Sperduti), AIIA Magazine [125].
Editorial Boards:
- Associate Editor, Artificial Intelligence Journal, since 2009.
- Action Editor, Machine Learning Journal, appointed for 20102012.
- Editorial board member Source Code for Biology and Medicine, 2008present.
- Associate Editor, IEEE Transactions on Knowledge and Data Engineering 20002005.
- Associate Editor, IEEE Transactions on Neural Networks 20002004.
- Associate Editor, ACM Transactions on Internet Technology 20032004.
Conference Program Committee/Referee: several, including AAAI (2008, and Co-Chair for the Special Track on AI and Bioinformatics, 2010), Conference on Neural Information Processing Systems (as Area Chair, 2008 and 2009; as referee 1996-2001,2004), Int. Joint Conference on Artificial Intelligence (as senior PC member, 2009), International Conference on Data Mining (as Vice-Chair, 2003), International Conference on Machine Learning (2004-2006, 2008), IEEE Int. Conference on Intelligent Systems in Molecular Biology (2003), European Conference on Machine Learning (2006-2008), IEEE Computer Society Conference on Bioinformatics (2003), European Conference on Evolutionary Computation Machine Learning and Data Mining in Bioinformatics (2008).
Organization of scientific events:
- Languages for Data Mining and Machine Learning (LML 2013), workshop at ECML/PKDD 2013, Co-organizer.
- Second Italian Workshop on Machine Learning and Data Mining (MLDM.it 2013), at AI*IA 2013, Torino, December 2013, Co-organizer.
- 7th Conf. on Prestigious Applications of Intelligent Systems (PAIS 2012), Program co-chair
- First Italian Workshop on Machine Learning and Data Mining (MLDM.it 2012), at AI*IA 2012, Roma. September 2012, Co-organizer
- 20th International Conference on Inductive Logic Programming 2010, Program co-chair
- AAAI 2010 Special Track on Artificial Intelligence and Bioinformatics, co-chair
- 5th International Workshop on Mining and Learning with Graphs, Università degli Studi di Firenze, August 1-3, 2007 (Program Co-Chair, with K. Kersting, K. Tsuda) [3].
- Special Session Machine Learning in Bioinformatics, 6th Int. Conf. on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (September 2002).
- Co-director, NATO Advanced Studies Institute Artificial Intelligence and Heuristic Methods for Bioinformatics, San Miniato, 111 Ottobre 2001 (A. Apostolico, P. Baldi, S. Brunak, R. Casadio, A. Covacci, D. Geiger, D. Haussler, N. Kolchanov, S. Muggleton, B. Rost, R. Serra, R. Shamir) [4].
- Workshop Foundations of connectionist-symbolic integration: representation, paradigms, and algorithms, European Conference on Artificial Intelligence (ECAI), 2000.
- Workshop Learning dynamical data structures: From sequences to graphs, at Neural Information Processing Systems, Denver (CO), December 1997
Scientific Publications: over 100.
Invided book chapters: over 10.
Authored books: 1 [1]. Edited books: 2 [2; 4].
Invited talks and keynote speaker. Several, including the Workshop on Random Growing, and Infinite Networks (Blaubeuren, Jan 2008), 17th Annual International Conference on Inductive Logic Programming (ILP07), Freiburg, Leuven & Friends, Workshop on Advances in Machine Learning (Montreal), 2003, Imperial College London, University of California, Irvine, University of Ulm, University College London, University College Dublin.
Reviewer for about 25 journals, including Machine Learning, Journal of Machine Learning Research, Bioinformatics, BMC Bioinformatics, Journal of Biological Inorganic Chemistry, Molecular Biology and Evolution, Journal of Human Evolution.
Reviewer for several scientific funding bodies including European Commission (STREP evaluator), European Science Foundation, European Research Council, Australian Research Council, Austrian Science Fund, Research Foundation - Flanders (Belgium), Science Foundation Ireland, Research Grants Council Hong Kong, Italian Governments Department of Research and Education (MIUR).
Teachers in tutorials and summer schools: several, including European Science Foundation Workshops, SOCRATES Intensive Programmes, NATO ASI, International Joint Conference on Artificial Intelligence (IJCAI), International School on Neural Networks.
Present Ph.D. Students: Matteo Bertini, Marco Lippi, Marc Vincent.
Past Ph.D. Students: Alessio Ceroni (Research Assistant, Imperial College London), Fabrizio Costa (Research assistant, K.U. Leuven), Sauro Menchetti, Andrea Passerini (Associate Professor, University of Trento), Alessandro Vullo (Research assistant, University College Dublin).
Awarded E. Caianiello prize (1996, for the Ph.D. Thesis)

Paolo FRASCONI

Pubblicazioni

Legenda

Contributo su rivista |

Articolo su libro |

Libro |

Contributo in atti di convegno (proceeding) |

Brevetto |

Curatela | Altro

Altro |

Tesi di Dottorato

Checcucci, Curzio; Wicinski, Bridget; Mazzamuto, Giacomo; Scardigli, Marina; Ramazzotti, Josephine; Brady, Niamh; Pavone, Francesco S.; Hof, Patrick R.; Costantini, Irene; Frasconi, Paolo (2024). Deep learning-based localization algorithms on fluorescence human brain 3D reconstruction: a comparative study using stereology as a reference. SCIENTIFIC REPORTS, vol. 14, pp. 0-0, ISSN:2045-2322 DOI Accesso ONLINE all'editore

Bernardini, Andrea; Bindini, Luca; Antonucci, Emilia; Berteotti, Martina; Giusti, Betti; Testa, Sophie; Palareti, Gualtiero; Poli, Daniela; Frasconi, Paolo; Marcucci, Rossella (2024). Machine learning approach for prediction of outcomes in anticoagulated patients with atrial fibrillation. INTERNATIONAL JOURNAL OF CARDIOLOGY, pp. 0-0, ISSN:0167-5273 DOI

Bindini, Luca; Pagani, Stefano; Bernardini, Andrea; Grossi, Benedetta; Giomi, Andrea; Frontera, Antonio; Frasconi, Paolo (2024). All-in-one electrical atrial substrate indicators with deep anomaly detection. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, vol. 98, pp. 0-0, ISSN:1746-8094 DOI

Costantini, I; Scardigli, M; Ramazzotti, J; Brady, N; Cheli, F; Mazzamuto, G; Castelli, F; Checcucci, C; Silvestri, L; Frasconi, P; Pavone, FS (2023). High-resolution human brain 3D reconstruction with light-sheet fluorescence microscopy. In: SPIE BIOS 2023, San Francisco, USA, SPIE-INT SOC OPTICAL ENGINEERING, vol. 12365, pp. 0-0, ISBN:9781510658356 DOI

Silvestri, L.; Müllenbroich, M. C.; Costantini, I.; Di Giovanna, A. P.; Mazzamuto, G.; Franceschini, A.; Kutra, D.; Kreshuk, A.; Checcucci, C.; Toresano, L. O.; Frasconi, P.; Sacconi, L.; Pavone, F. S. (2021). Universal autofocus for quantitative volumetric microscopy of whole mouse brains. NATURE METHODS, vol. 18, pp. 953-958, ISSN:1548-7091 DOI

Frasconi, Paolo; Baracchi, Daniele; Giusti, Betti; Kura, Ada; Spaziani, Gaia; Cherubini, Antonella; Favilli, Silvia; Di Lenarda, Andrea; Pepe, Guglielmina; Nistri, Stefano (2021). Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach. DIAGNOSTICS, vol. 11, pp. 0-0, ISSN:2075-4418 DOI

Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi (2020). MARTHE: Scheduling the Learning Rate Via Online Hypergradients. In: International Joint Conference on Artificial Intelligence, Christian Bessiere, pp. 2119-2125, ISBN:978-0-9992411-6-5

Martina, Stefano; Ventura, Leonardo; Frasconi, Paolo (2020). Classification of cancer pathology reports: a large-scale comparative study. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, vol. 24, pp. 3085-3094, ISSN:2168-2194 DOI Accesso ONLINE all'editore

Alessandro Tibo, Manfred Jaeger, Paolo Frasconi (2020). Learning and Interpreting Multi-Multi-Instance Learning Networks. JOURNAL OF MACHINE LEARNING RESEARCH, vol. 21, pp. 1-60, ISSN:1533-7928 Accesso ONLINE all'editore

Valentijn Borghuis, Luca Angioloni, Lorenzo Brusci, Paolo Frasconi (2020). Pattern-Based Music Generation with Wasserstein Autoencoders and PRC Descriptions. In: Twenty-Ninth International Joint Conference on Artificial Intelligence, Christian Bessiere, pp. 5225-5227, ISBN:978-0-9992411-6-5 DOI

Luca Angioloni, Tijn Borghuis, Lorenzo Brusci, Paolo Frasconi (2020). CONLON: A PSEUDO-SONG GENERATOR BASED ON A NEW PIANOROLL, WASSERSTEIN AUTOENCODERS, AND OPTIMAL INTERPOLATIONS. In: International Society for Music Information Retrieval Conference, Montreal, Oct 2020, International Society for Music Information Retrieval, pp. 876-883. Accesso ONLINE all'editore

Franceschi L.; Donini M.; Frasconi P.; Pontil M. (2019). On hyperparameter optimization in learning systems. In: 5th International Conference on Learning Representations, ICLR 2017, fra, 2017, International Conference on Learning Representations, ICLR, pp. 0-0.

Mazzamuto G.; Orsini F.; Roffilli M.; Frasconi P.; Pavone F.S.; Silvestri L. (2019). Deep learning strategies for scalable analysis of high-resolution brain imagery. In: Advances in Microscopic Imaging II 2019, Monaco di Baviera, 2019, SPIE, vol. 11076, pp. 30-32, ISBN:9781510628458 DOI Accesso ONLINE all'editore

Mazzamuto G.; Silvestri L.; Costantini I.; Orsini F.; Roffilli M.; Frasconi P.; Sacconi L.; Pavone F.S. (2018). Software tools for efficient processing of high-resolution 3D images of macroscopic brain samples. In: Clinical and Translational Biophotonics, TRANSLATIONAL 2018, usa, 2018, OSA - The Optical Society, vol. 2018, pp. JTh3A.64-0, ISBN:978-1-943580-41-5 DOI

Franceschi, Luca; Frasconi, Paolo; Salzo, Saverio; Grazzi, Riccardo; Pontil, Massimiliano (2018). Bilevel Programming for Hyperparameter Optimization and Meta-Learning. In: International Conference on Machine Learning, Stockholm, 10-15 July 2018, PMLR, vol. 80, pp. 2537-2548. Accesso ONLINE all'editore

Di Giovanna, Antonino Paolo; Tibo, Alessandro; Silvestri, Ludovico; Müllenbroich, Marie Caroline; Costantini, Irene; Allegra Mascaro, Anna Letizia; Sacconi, Leonardo; Frasconi, Paolo; Pavone, Francesco Saverio (2018). Whole-Brain Vasculature Reconstruction at the Single Capillary Level. SCIENTIFIC REPORTS, vol. 8, pp. 12573-12573, ISSN:2045-2322 DOI Accesso ONLINE all'editore

Orsini, Francesco*; Baracchi, Daniele; Frasconi, Paolo (2018). Shift aggregate extract networks. FRONTIERS IN ROBOTICS AND AI, vol. 5, pp. 0-0, ISSN:2296-9144 DOI Accesso ONLINE all'editore

Silvestri L.; Di Giovanna A.P.; Mazzamuto G.; Leergard T.; Orsini F.; Costantini I.; Bjaalie J.; Frasconi P.; Pavone F.S. (2018). Towards a full volumetric atlas of cell-specific neuronal spatial organization in the entire mouse brain. In: Clinical and Translational Biophotonics, TRANSLATIONAL 2018, usa, 2018, OSA - The Optical Society, vol. 2018, pp. JTu3A.62-0, ISBN:978-1-943580-41-5 DOI

Luca, Franceschi; Michele, Donini; Paolo, Frasconi; Massimiliano, Pontil (2017). Forward and Reverse Gradient-Based Hyperparameter Optimization. In: 34th International Conference on Machine Learning, Sydney, Australia, 2017, PMLR, pp. 1165-1173.

Alessandro Tibo, Paolo Frasconi, Manfred Jaeger (2017). A network architecture for multi-multi-instance learning. In: ECML, Springer, Cham, pp. 737-752.

Orsini, Francesco; Frasconi, Paolo; de Raedt, Luc (2017). kProbLog: an algebraic Prolog for machine learning. MACHINE LEARNING, vol. 106, pp. 1-37, ISSN:0885-6125 DOI Accesso ONLINE all'editore

Di Giovanna, Antonino Paolo; Tibo, Alessandro; Silvestri, Ludovico; Mã¼llenbroich, Marie Caroline; Costantini, Irene; Sacconi, Leonardo; Frasconi, Paolo; Pavone, Francesco Saverio (2017). Optimal staining and clearing protocol for whole mouse brain vasculature imaging with light-sheet microscopy. In: European Conference on Biomedical Optics, ECBO 2017, ICM-International Congress Center Munich, deu, 2017, OSA - The Optical Society, vol. 2017, pp. 104140N-104140N-3, ISBN:9781557528209 DOI

Frasconi P.; Landwehr N.; Manco G.; Vreeken J. (2016). Preface. Springer Verlag, pp. V-VII.

Corrado, Gianluca; Tebaldi, Toma; Costa, Fabrizio; Frasconi, Paolo; Passerini, Andrea (2016). RNAcommender: Genome-wide recommendation of RNA-protein interactions. BIOINFORMATICS, vol. 32, pp. 3627-3634, ISSN:1367-4803 DOI Accesso ONLINE all'editore

Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe; Vreeken, Jilles (2016). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016. di Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken, Springer Verlag, 9783319462264. Accesso ONLINE all'editore

Orsini, Francesco; Frasconi, Paolo; De Raedt, Luc (2016). KProbLog: An algebraic prolog for kernel programming. In: 25th International Conference on Inductive Logic Programming, ILP 2015, jpn, 2015, Springer Verlag, vol. 9575, pp. 152-165, ISBN:9783319405650 DOI Accesso ONLINE all'editore

Francesco Orsini; Paolo Frasconi; Luc De Raedt (2015). Graph Invariant Kernels. In: International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, 25th to July 31st 2015, AAAI Press, pp. 0-0. Accesso ONLINE all'editore

Silvestri, Ludovico; Paciscopi, Marco; Soda, Paolo; Biamonte, Filippo; Iannello, Giulio; Frasconi, Paolo; Pavone, Francesco S. (2015). Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis. FRONTIERS IN NEUROANATOMY, vol. 9, pp. 0-0, ISSN:1662-5129 DOI Accesso ONLINE all'editore

Soda, Paolo; Acciai, Ludovica; Cordelli, Ermanno; Costantini, Irene; Sacconi, Leonardo; Pavone, Francesco Saverio; Conti, Valerio; Guerrini, Renzo; Frasconi, Paolo; Iannello, Giulio (2015). Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, MiCo Center, Milano Congressi Center, ita, 2015, Institute of Electrical and Electronics Engineers Inc., vol. 2015-, pp. 7724-7727, ISBN:9781424492718 DOI

Frasconi, Paolo; Costa, Fabrizio; De Raedt, Luc; De Grave, Kurt (2015). KLog: A language for logical and relational learning with kernels. In: 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, arg, 2015, International Joint Conferences on Artificial Intelligence, vol. 2015-, pp. 4183-4187, ISBN:9781577357384 Accesso ONLINE all'editore

Silvestri, Ludovico; Rudinskiy, Nikita; Paciscopi, Marco; Müllenbroich, Marie Caroline; Costantini, Irene; Sacconi, Leonardo; Frasconi, Paolo; Hyman, Bradley T.; Pavone, Francesco S. (2015). Brain-wide charting of neuronal activation maps with cellular resolution. In: Optics in the Life Sciences, Vancouver, 12–15 April 2015, OSA, pp. 0-0, ISBN:978-1-55752-954-1 DOI

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 (2014). A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy. In: High Performance Computing & Simulation, IEEE, pp. 592-599, ISBN:9781479953110 DOI Accesso ONLINE all'editore

Paolo Frasconi;Fabrizio Costa;Luc De Raedt;Kurt De Grave (2014). kLog: A language for logical and relational learning with kernels. ARTIFICIAL INTELLIGENCE, vol. 217, pp. 117-143, ISSN:0004-3702 DOI Accesso ONLINE all'editore

P. Frasconi;L. Silvestri;P. Soda;R. Cortini;F. S. Pavone;G. Iannello (2014). Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images. BIOINFORMATICS, vol. 30, pp. i587-i593, ISSN:1367-4803 DOI Accesso ONLINE all'editore

Mathias Verbeke; Paolo Frasconi; Kurt De Grave; Fabrizio Costa; Luc De Raedt (2014). kLogNLP: Graph kernel–based relational learning of natural language. In: Annual Meeting of the Association for Computational Lingusitics (ACL), Baltimore, Association for Computational Linguistics, pp. 85-90. Accesso ONLINE all'editore

Paolo Frasconi;Francesco Gabbrielli;Marco Lippi;Simone Marinai (2014). Markov Logic Networks for Optical Chemical Structure Recognition. JOURNAL OF CHEMICAL INFORMATION AND MODELING, vol. 54, pp. 2380-2390, ISSN:1549-9596 DOI Accesso ONLINE all'editore

L. Antanas;M. Hoffmann;P. Frasconi;T. Tuytelaars;L. D. Raedt (2013). A relational kernel-based approach to scene classification. In: IEEE Winter Conference on Applications of Computer Vision, 2013, IEEE Computer Society, vol. 0, pp. 133-139, ISBN:9781467350532 DOI Accesso ONLINE all'editore

Manfred Jaeger;Marco Lippi;Andrea Passerini;Paolo Frasconi (2013). Type Extension Trees for feature construction and learning in relational domains. ARTIFICIAL INTELLIGENCE, vol. 204, pp. 30-55, ISSN:0004-3702 DOI Accesso ONLINE all'editore

Marco Lippi;Matteo Bertini;Paolo Frasconi (2013). Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 14, pp. 871-882, ISSN:1524-9050 DOI Accesso ONLINE all'editore

Laura Antanas; Paolo Frasconi; Fabrizio Costa; Tinne Tuytelaars; Luc De Raedt (2012). A Relational Kernel-Based Framework for Hierarchical Image Understanding. In: International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, Hiroshima, Springer, vol. 7626, pp. 171-180, ISBN:9783642341656 DOI Accesso ONLINE all'editore

Mathias Verbeke; Paolo Frasconi; Vincent Asch; Roser Morante; Walter Daelemans; Luc De Raedt (2012). Kernel-Based Logical and Relational Learning with kLog for Hedge Cue Detection. In: Inductive Logic Programming, Springer, vol. 7207, pp. 347-357, ISBN:9783642319501 DOI Accesso ONLINE all'editore

Mathias Verbeke; Vincent Van Asch; Roser Morante; Paolo Frasconi; Walter Daelemans; Luc De Raedt (2012). Statistical Relational Learning Approach to Identifying Evidence Based Medicine Categories. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), Jeju Island, Korea, Association for Computational Linguistics, pp. 579-589. Accesso ONLINE all'editore

Parisa Kordjamshidi; Paolo Frasconi; Martijn Otterlo; Marie-Francine Moens;Luc De Raedt (2012). Relational Learning for Spatial Relation Extraction from Natural Language. In: Inductive Logic Programming, Springer, vol. 7207, pp. 204-220, ISBN:9783642319501 DOI Accesso ONLINE all'editore

Paolo Frasconi;Francesca A. Lisi (2012). Guest Editors' introduction: Special issue on inductive logic programming. MACHINE LEARNING, vol. 86, pp. 1-2, ISSN:0885-6125 DOI

M. Lippi; A. Passerini; M. Punta; P. Frasconi (2012). Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. In: European Conference on Machine Learning and Knowledge Discovery in Databases, Bristol, September 2012, Springer, vol. 7524, pp. 854-857, ISBN:9783642334856 DOI

Passerini, Andrea; Lippi, Marco; Frasconi, Paolo (2012). Predicting metal-binding sites from protein sequence. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, vol. 9, pp. 203-213, ISSN:1545-5963 DOI Accesso ONLINE all'editore

Luc De Raedt; Christian Bessiere; Didier Dubois; Patrick Doherty; Paolo Frasconi; Fredrik Heintz; Peter Lucas (2012). 20th European Conference on Artificial Intelligence. IOS Press, ISBN:9781614990970 Accesso ONLINE all'editore

W. Shi; M. Punta; J. Bohon; J.M. Sauder; R D'Mello; M. Sullivan; J. Toomey; D. Abel; M. Lippi; A. Passerini; P. Frasconi; S.K. Burley; B. Rost; M.R. Chance (2011). Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy. GENOME RESEARCH, vol. 21, pp. 898-907, ISSN:1088-9051 DOI Accesso ONLINE all'editore

A. Passerini; M. Lippi; P. Frasconi (2011). MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. NUCLEIC ACIDS RESEARCH, vol. Web server issue, pp. 0-0, ISSN:0305-1048 DOI Accesso ONLINE all'editore

P. Frasconi; F.A. Lisi (2011). Inductive Logic Programming. Heidelberg: Springer, ISBN:9783642212949 Accesso ONLINE all'editore

Marco Lippi; Manfred Jaeger; Paolo Frasconi; Andrea Passerini (2011). Relational information gain. MACHINE LEARNING, vol. 83, pp. 219-239, ISSN:0885-6125 DOI Accesso ONLINE all'editore

N.Landwehr;A.Passerini;L.DeRaedt;P.Frasconi (2010). Fast Learning of Relational Kernels. MACHINE LEARNING, vol. 78, pp. 305-342, ISSN:0885-6125 DOI Accesso ONLINE all'editore

Marco Lippi;Matteo Bertini;Paolo Frasconi (2010). Collective Traffic Forecasting. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, Barcelona; Spain, 20-24 settembre 2010, Springer, vol. 6322, pp. 259-273, ISBN:9783642158827 DOI

P. Frasconi;A. Passerini (2009). Predicting the Geometry of Metal Binding Sites from Protein Sequence. In: Neural Information Processing Systems (NIPS), Vancouver, 2009, vol. 21, pp. 0-0. Accesso ONLINE all'editore

M. Lippi;P. Frasconi (2009). Prediction of Protein Beta-Residue Contacts by Markov Logic Networks with Grounding Specific Weights. BIOINFORMATICS, vol. 25, pp. 2326-2333, ISSN:1367-4803 DOI Accesso ONLINE all'editore

F. Costa; A. Passerini; M. Lippi; P. Frasconi (2008). A Semiparametric Generative Model for Efficient Structured-Output Supervised Learning. ANNALS OF MATHEMATICS AND OF ARTIFICIAL INTELLIGENCE, vol. 1-3, pp. 207-222, ISSN:1012-2443 DOI

A. Vullo; A. Passerini; P. Frasconi; F. Costa; G. Pollastri (2008). On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. LECTURE NOTES IN COMPUTER SCIENCE, vol. 4973, pp. 200-211, ISSN:0302-9743 DOI Accesso ONLINE all'editore

P. Frasconi (2008). Learning with Kernels and Logical Representations. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 4894/2008, pp. 1-3 DOI Accesso ONLINE all'editore

P. Frasconi ; M. Jaeger ; A. Passerini (2008). Feature Discovery with Type Extension Trees. In: 18th International Conference on Inductive Logic Programming, ILP 2008, Springer, vol. 5194, pp. 122-139, ISBN:978-354085927-7 DOI

M. Lippi;A. Passerini;M. Punta;B. Rost;P. Frasconi (2008). MetalDetector: a web server for predicting metal binding sites and disulfide bridges in proteins from sequence. BIOINFORMATICS, vol. 24, pp. 2094-2095, ISSN:1367-4803 DOI Accesso ONLINE all'editore

M. Vincent; A. Passerini; M. Labbé; P. Frasconi (2008). A simplified approach to disulfide connectivity prediction from protein sequences. BMC BIOINFORMATICS, vol. 9, pp. 0-0, ISSN:1471-2105 DOI

A. Passerini;C. Andreini;S. Menchetti;A. Rosato;P. Frasconi (2007). Predicting zinc binding at the proteome level. BMC BIOINFORMATICS, vol. 8, pp. 1-13, ISSN:1471-2105, BIOMED CENTRAL LTD, MIDDLESEX HOUSE, 34-42 CLEVELAND ST, LONDON, ENGLAND, W1T 4LB: DOI Accesso ONLINE all'editore

A. CERONI; F. COSTA; P. FRASCONI (2007). Classification of Small Molecules by Two- and Three-Dimensional Decomposition Kernels. BIOINFORMATICS, vol. 23, pp. 2038-2045, ISSN:1367-4803, Oxford University Press:Journals Department, Great Clarendon Street, Oxford OX2 6DP United Kingdom:011 44 1865 556767, EMAIL: jnlorders@oup.co.uk, INTERNET: http://www.oup.co.uk, Fax: 011 44 1865 267485: DOI

A. Ceroni;A. Passerini;A. Vullo;P. Frasconi (2006). DISULFIND: a Disulfide Bonding State and Cysteine Connectivity Prediction Server. NUCLEIC ACIDS RESEARCH, vol. 34, pp. W177-W181, ISSN:0305-1048 DOI Accesso ONLINE all'editore

Andrea Passerini; Paolo Frasconi; Luc De Raedt (2006). Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. JOURNAL OF MACHINE LEARNING RESEARCH, vol. 7, pp. 307-342, ISSN:1532-4435 Accesso ONLINE all'editore

PASSERINI A; PUNTA M; CERONI A; ROST B; P. FRASCONI (2006). Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks. PROTEINS, vol. 65, pp. 305-316, ISSN:0887-3585 DOI Accesso ONLINE all'editore

POLLASTRI G; VULLO A; P. FRASCONI; P. BALDI (2006). Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. JOURNAL OF COMPUTATIONAL BIOLOGY, vol. 13, pp. 631-650, ISSN:1066-5277, Mary Ann Liebert Incorporated:2 Madison Avenue:Larchmont, NY 10538:(914)834-3100, EMAIL: info@liebertpub.com, swilliams@liebertpub.com, INTERNET: http://www.liebertpub.com, Fax: (914)834-3688:

SAURO MENCHETTI; ANDREA PASSERINI; P. FRASCONI; CLAUDIA ANDREINI; ANTONIO ROSATO (2006). Improving Prediction of Zinc Binding Sites by Modeling the Linkage between Residues Close in Sequence. In: Alberto Apostolico, Concettina Guerra, Sorin Istrail, Pavel Pevzner, Michael Waterman. Research in Computational Molecular Biology, pp. 309-320 Springer Verlag Germany, ISBN:978-3-540-33296-1. DOI Accesso ONLINE all'editore

N. Landwehr; A. Passerini; L. De Raedt; P. FRASCONI (2006). kFOIL: Learning Simple Relational Kernels. In: Proceedings of AAAI 2006, 2006, pp. 389-394. Accesso ONLINE all'editore

A. CERONI; P. FRASCONI; G. POLLASTRI (2005). LEARNING PROTEIN SECONDARY STRUCTURE FROM SEQUENTIAL AND RELATIONAL DATA. NEURAL NETWORKS, vol. 18, pp. 1029-1039, ISSN:0893-6080 Accesso ONLINE all'editore

F.COSTA; P.Frasconi; V.LOMBARDO; P. STURT; G. SODA (2005). Ambiguity Resolution, Analysis in Incremental Parsing of Natural Language. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 16,n. 4, pp. 959-971, ISSN:1045-9227 DOI

A. Passerini;P. Frasconi (2005). Kernels on Prolog Ground Terms. In: INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2005, Edinburgh:, pp. 1626-1629.

S. MENCHETTI; F. COSTA; P. FRASCONI; M. PONTIL (2005). Wide Coverage Natural Language Processing using Kernel Methods and Neural Networks for Structured Data. PATTERN RECOGNITION LETTERS, vol. 26, pp. 1896-1906, ISSN:0167-8655 DOI Accesso ONLINE all'editore

S. MENCHETTI; F. COSTA; P. FRASCONI (2005). WEIGHTED DECOMPOSITION KERNELS. In: INTERNATIONAL CONFERENCE ON MACHINE LEARNING (ICML'05)., BONN, pp. 592-599.

Alessandro Vullo; Paolo Frasconi (2004). Disulfide connectivity prediction using recursive neural networks and evolutionary information. BIOINFORMATICS, vol. 20, pp. 653-659, ISSN:1367-4803 DOI Accesso ONLINE all'editore

P. FRASCONI; A. PASSERINI (2004). LEARNING TO DISCRIMINATE BETWEEN LIGAND BOUND AND DISULFIDE BOUND CYSTEINES. PROTEIN ENGINEERING, vol. 17, pp. 367-373, ISSN:0269-2139 DOI

A. Passerini;M. Pontil;P. Frasconi (2004). New results on error correcting output codes of kernel machines. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 15, pp. 45-54, ISSN:1045-9227 DOI Accesso ONLINE all'editore

P. FRASCONI; P. BALDI; P. SMYTH (2003). Modeling the Internet and the Web : Probabilistic Methods and Algorithms. West Sussex: WILEY, ISBN:9780470849064 Accesso ONLINE all'editore

P. FRASCONI; M. GORI; M. DILIGENTI (2003). HIDDEN TREE MARKOV MODELS FOR DOCUMENT IMAGE CLASSIFICATION. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 25, pp. 519-523, ISSN:0162-8828 DOI

A. Vullo;P. Frasconi (2003). Prediction of Protein Coarse Contact Maps. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, vol. 1, pp. 411-431, ISSN:0219-7200 DOI

Y. Yao;G. Marcialis;M. Pontil;P. Frasconi;F. Roli (2003). Combining Flat and Structured Representations for Fingerprint Classification with Recursive Neural Networks and Support Vector Machines. PATTERN RECOGNITION, vol. 36, pp. 397-406, ISSN:0031-3203 DOI

Pollastri, Gianluca; Baldi, Pierre ; Vullo, Alessandro; Frasconi, Paolo (2003). Prediction of Protein Topologies Using GIOHMMs and GRNNs. In: Neural Information Processing Systems, 2002, MIT Press, pp. 1473-1480.

F. COSTA; P. FRASCONI; V. LOMBARDO; G. SODA (2003). Towards Incremental Parsing of Natural Language Using Recursive Neural Networks. APPLIED INTELLIGENCE, vol. 19, pp. 9-25, ISSN:0924-669X DOI

P. FRASCONI; V. LOMBARDO; F. COSTA; P. STURT (2003). Learning first-pass structural attachment preferences with dynamic grammars and recursive neural networks. COGNITION, vol. 88(2), pp. 133-169, ISSN:0010-0277 Accesso ONLINE all'editore

A. CERONI; P. FRASCONI; A. PASSERINI; A. VULLO (2003). Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, vol. 35(3), pp. 287-295, ISSN:1387-5485, Kluwer Academic Publishers / Massachusetts:PO Box 358, Accord Station:Hingham, MA 02018:(617)871-6600:

Vullo, Alessandro; Frasconi, Paolo (2002). A Bi-Recursive Neural Network Architecture for the Prediction of Protein Coarse Contact Maps. In: IEEE Bioinformatics Conference, Stanford University, CA, 2002, IEEE Press, pp. 187-196, ISBN:0-7695-1653-X DOI Accesso ONLINE all'editore

P. FRASCONI; G. SODA; A. VULLO. (2002). Hidden Markov Models for Text Categorization for Multipage Documents. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, vol. 2/3, pp. 195-217, ISSN:0925-9902, Kluwer Academic Publishers / Massachusetts:PO Box 358, Accord Station:Hingham, MA 02018:(617)871-6600:

COSTA F.; LOMBARDO V.; P. FRASCONI; G. Soda (2001). Wide Coverage Incremental Parsing by Learning Attachment Preferences. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 2175, pp. 297-307 DOI Accesso ONLINE all'editore

P. COSI; P. FRASCONI; M. GORI; L. LASTRUCCI; G. SODA (2000). Competitive Radial Basis Functions training for phone classification. NEUROCOMPUTING, vol. 34, pp. 117-129, ISSN:0925-2312

P. FRASCONI; M. GORI; G. SODA (1999). Data Categorization Using Decision Trellises. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 11, n.15, pp. 697-712, ISSN:1041-4347, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

BALDI P.; BRUNAK S.; FRASCONI P.; POLLASTRI G.; G. SODA (1999). Exploiting the Past and the Future in Protein Secondary Structure Prediction. BIOINFORMATICS, vol. 15, n.11, pp. 937-946, ISSN:1367-4803, Oxford University Press:Journals Department, Great Clarendon Street, Oxford OX2 6DP United Kingdom:011 44 1865 556767, EMAIL: jnlorders@oup.co.uk, INTERNET: http://www.oup.co.uk, Fax: 011 44 1865 267485:

P. FRASCONI; M. GORI; A. SPERDUTI (1998). A general framework for adaptive processing of data structures. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 9, pp. 768-786, ISSN:1045-9227, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

E. Francesconi;P. Frasconi;M. Gori;S. Marinai;J. Q. Sheng;G. Soda;A. Sperduti (1998). Logo recognition by recursive neural networks. In: Second International Workshop, GREC'97, Springer, vol. 1389, pp. 104-117, ISBN:9783540643814 DOI

P. FRASCONI; M. GORI; G. SODA (1997). Links between LVQ and backpropagation. PATTERN RECOGNITION LETTERS, vol. 18, n. 4, pp. 303-310, ISSN:0167-8655

P. FRASCONI; GORI M; MAGGINI M; SODA G (1996). Representation of Finite State Automata in Recurrent Radial Basis Function Networks. MACHINE LEARNING, vol. 23, pp. 5-32, ISSN:0885-6125, Kluwer Academic Publishers / Massachusetts:PO Box 358, Accord Station:Hingham, MA 02018:(617)871-6600:

P. FRASCONI; M. GORI (1996). Computational Capabilities of Local-Feedback Recurrent Networks Acting as Finite-State Machines. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 7(6), pp. 1521-1525, ISSN:1045-9227, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

Y. BENGIO; P. FRASCONI (1996). Input/Output HMMs for Sequence Processing. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 7(5), pp. 1231-1249, ISSN:1045-9227, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

P. Frasconi;M. Gori;M. Maggini;G. Soda (1995). Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 7, pp. 340-346, ISSN:1041-4347 DOI

Y. Bengio;P. Frasconi (1995). An Input Output HMM Architecture. In: Neural Information Processing Systems (NIPS), 1995, pp. 427-434. Accesso ONLINE all'editore

M. Bianchini;P. Frasconi;M. Gori (1995). Learning in Multilayered Networks Used as Autoassociators. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 6, pp. 512-515, ISSN:1045-9227 DOI

BENGIO Y; P. FRASCONI (1995). Diffusion of Context and Credit Information in Markovian Models. THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, vol. 3, pp. 249-270, ISSN:1076-9757, -AI ACCESS FOUNDATION, USC INFORMATION SCIENCES INST, 4676 ADMIRALITY WAY, MARINA DEL REY, USA, CA, 90292-6695 -Morgan Kaufmann Publishers:340 Pine Street, 6th Floor:San Francisco, CA 94104:(800)745-7323, (415)392-2665, EMAIL: mkp@mkp.com, Fax: (415)982-2665:

P. FRASCONI; GORI M; MAGGINI M; SODA G (1995). Unified Integration of Explicit Rules and Learning by Example in Recurrent Networks. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 7(2), pp. 340-346, ISSN:1041-4347, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

P. FRASCONI; GORI M; SODA G (1995). Recurrent Neural Networks and Prior Knowledge for Sequence Processing: A Constrained Nondeterministic Approach. KNOWLEDGE-BASED SYSTEMS, vol. 8(6), pp. 313-332, ISSN:0950-7051, Butterworth Heinemann Publishers:Linacre House Jordan Hill, Oxford OX2 8DP United Kingdom:011 44 1865 314569, EMAIL: bhmarketing@repp.co.uk, INTERNET: http://www.laxtonsprices.co.uk, Fax: 011 44 1865 314569:

BIANCHINI M; P. FRASCONI; GORI M (1995). Learning without Local Minima in Radial Basis Function Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 6(3), pp. 749-756, ISSN:1045-9227, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

BENGIO Y; SIMARD P; P. FRASCONI (1994). Learning Long-Term Dependencies with Gradient Descent is Difficult. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 5(2), pp. 157-166, ISSN:1045-9227, IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667:

P. FRASCONI; GORI M; SODA G (1993). Daphne: Data Parallelism Neural Network Simulator. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, vol. 4(1), pp. 17-29, ISSN:0129-1831, World Scientific Publishing Company:PO Box 128, Farrer Road, Singapore 912805 Singapore:011 65 6 4665775, EMAIL: journal@wspc.com.sg, INTERNET: http://www.wspc.com.sg, http://www.worldscinet.com, Fax: 011 65 6 4677667:

P. FRASCONI; GORI M; SODA G (1992). Local Feedback Multilayered Networks. NEURAL COMPUTATION, vol. 4(1), pp. 120-130, ISSN:0899-7667, Berkeley Electronic Press:805 Camelia Street, Second Floor:Berkeley, CA 94710:(510)559-1500, EMAIL: info@bepress.com, INTERNET: http://www.bepress.com, Fax: (510)559-1550:

Paolo FRASCONI

Curriculum

Education

Ph.D. in Computer Engineering, 1994, Università degli Studi di Firenze. Thesis: Recurrent neural networks and adaptive processing of sequences.
Laurea degree, Electronics Engineering, 1990 Università degli Studi di Firenze, Cum Laude.

Academic Positions

Full Professor. Dec. 2010 -- present. Università degli Studi di Firenze.
Visiting Professor. K.U. Leuven, 2010.
Associate Professor. Nov. 1999 - 2010. Università degli Studi di Firenze.
Associate Professor. Nov. 1998 Ott. 1999. Università degli Studi di Cagliari
Lecturer. Jun 1998Oct. 1998. School of Information Technology and Computer Science, University of Wollongong (Australia).
Assistant Professor. Jul. 1995 Oct. 1998. Università degli Studi di Firenze (Ingegneria).
Contract Professor. 1993. Università degli Studi di Siena.
Visiting Scholar 1992. Dept. of Brain and Cognitive Sciences, M.I.T.

Grants

Main funded research projects:
- Strumenti di Supporto allAgenzia per la Mobilità Metropolitana (tools in supports of the metropolitan mobility agency); (2008-2009) founded by the Florence Foundation for Research and Innovation.
- BIOPTRAIN, Bioinformatics Optimization Trining, Marie Curie EST, 20052009; funded by the European Commission.
- APrIL II, Applications of Inductive Logic Programming, FET, 20032007; funded by the European Commission.
- BIOPATTERN, Network of Excellence, 20032008; funded by the European Commission.
- Machine learning tools for text analysis and retrieval, (2003-2004); funded by Italian Ministry of University and Research.
- Machine learning tools for structural and functional genomics, as National Coordinator, (2002-2003); funded by Italian Ministry of University and Research.
- Machine learning techniques for quantitative analysis of chemichal compounds, (2001-2002); funded by Italian Ministry of University and Research.

Professional activities

Journal Special Issues: Journal of Machine Learning Research (2008) [120] (with K. Kersting, H. Toivonen, K. Tsuda), ACM Transactions on Internet Technology (2004) [122;121] (with M. Maggini, C.L. Giles, G. Flakes), Cognitive Systems Research (2002) [123] (with M. Gori, A. Sperduti), IEEE Transactions on Knowledge and Data Engineering (2001) [124] (with M. Gori, A. Sperduti), AIIA Magazine [125].
Editorial Boards:
- Associate Editor, Artificial Intelligence Journal, since 2009.
- Action Editor, Machine Learning Journal, appointed for 20102012.
- Editorial board member Source Code for Biology and Medicine, 2008present.
- Associate Editor, IEEE Transactions on Knowledge and Data Engineering 20002005.
- Associate Editor, IEEE Transactions on Neural Networks 20002004.
- Associate Editor, ACM Transactions on Internet Technology 20032004.
Conference Program Committee/Referee: several, including AAAI (2008, and Co-Chair for the Special Track on AI and Bioinformatics, 2010), Conference on Neural Information Processing Systems (as Area Chair, 2008 and 2009; as referee 1996-2001,2004), Int. Joint Conference on Artificial Intelligence (as senior PC member, 2009), International Conference on Data Mining (as Vice-Chair, 2003), International Conference on Machine Learning (2004-2006, 2008), IEEE Int. Conference on Intelligent Systems in Molecular Biology (2003), European Conference on Machine Learning (2006-2008), IEEE Computer Society Conference on Bioinformatics (2003), European Conference on Evolutionary Computation Machine Learning and Data Mining in Bioinformatics (2008).
Organization of scientific events:
- Languages for Data Mining and Machine Learning (LML 2013), workshop at ECML/PKDD 2013, Co-organizer.
- Second Italian Workshop on Machine Learning and Data Mining (MLDM.it 2013), at AI*IA 2013, Torino, December 2013, Co-organizer.
- 7th Conf. on Prestigious Applications of Intelligent Systems (PAIS 2012), Program co-chair
- First Italian Workshop on Machine Learning and Data Mining (MLDM.it 2012), at AI*IA 2012, Roma. September 2012, Co-organizer
- 20th International Conference on Inductive Logic Programming 2010, Program co-chair
- AAAI 2010 Special Track on Artificial Intelligence and Bioinformatics, co-chair
- 5th International Workshop on Mining and Learning with Graphs, Università degli Studi di Firenze, August 1-3, 2007 (Program Co-Chair, with K. Kersting, K. Tsuda) [3].
- Special Session Machine Learning in Bioinformatics, 6th Int. Conf. on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies (September 2002).
- Co-director, NATO Advanced Studies Institute Artificial Intelligence and Heuristic Methods for Bioinformatics, San Miniato, 111 Ottobre 2001 (A. Apostolico, P. Baldi, S. Brunak, R. Casadio, A. Covacci, D. Geiger, D. Haussler, N. Kolchanov, S. Muggleton, B. Rost, R. Serra, R. Shamir) [4].
- Workshop Foundations of connectionist-symbolic integration: representation, paradigms, and algorithms, European Conference on Artificial Intelligence (ECAI), 2000.
- Workshop Learning dynamical data structures: From sequences to graphs, at Neural Information Processing Systems, Denver (CO), December 1997
Scientific Publications: over 100.
Invided book chapters: over 10.
Authored books: 1 [1]. Edited books: 2 [2; 4].
Invited talks and keynote speaker. Several, including the Workshop on Random Growing, and Infinite Networks (Blaubeuren, Jan 2008), 17th Annual International Conference on Inductive Logic Programming (ILP07), Freiburg, Leuven & Friends, Workshop on Advances in Machine Learning (Montreal), 2003, Imperial College London, University of California, Irvine, University of Ulm, University College London, University College Dublin.
Reviewer for about 25 journals, including Machine Learning, Journal of Machine Learning Research, Bioinformatics, BMC Bioinformatics, Journal of Biological Inorganic Chemistry, Molecular Biology and Evolution, Journal of Human Evolution.
Reviewer for several scientific funding bodies including European Commission (STREP evaluator), European Science Foundation, European Research Council, Australian Research Council, Austrian Science Fund, Research Foundation - Flanders (Belgium), Science Foundation Ireland, Research Grants Council Hong Kong, Italian Governments Department of Research and Education (MIUR).
Teachers in tutorials and summer schools: several, including European Science Foundation Workshops, SOCRATES Intensive Programmes, NATO ASI, International Joint Conference on Artificial Intelligence (IJCAI), International School on Neural Networks.
Present Ph.D. Students: Matteo Bertini, Marco Lippi, Marc Vincent.
Past Ph.D. Students: Alessio Ceroni (Research Assistant, Imperial College London), Fabrizio Costa (Research assistant, K.U. Leuven), Sauro Menchetti, Andrea Passerini (Associate Professor, University of Trento), Alessandro Vullo (Research assistant, University College Dublin).
Awarded E. Caianiello prize (1996, for the Ph.D. Thesis)