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Fabrizio Riguzzi
2010 – today
- 2013
[j23]Fabrizio Riguzzi: MCINTYRE: A Monte Carlo System for Probabilistic Logic Programming. Fundam. Inform. 124(4): 521-541 (2013)- [j22]Elena Bellodi, Fabrizio Riguzzi: Expectation maximization over binary decision diagrams for probabilistic logic programs. Intell. Data Anal. 17(2): 343-363 (2013)
- [j21]Fabrizio Riguzzi, Terrance Swift: Well-definedness and efficient inference for probabilistic logic programming under the distribution semantics. TPLP 13(2): 279-302 (2013)
- [c39]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese: BUNDLE: A Reasoner for Probabilistic Ontologies. RR 2013: 183-197
- [c38]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese: Parameter Learning for Probabilistic Ontologies. RR 2013: 265-270
- [e2]Fabrizio Riguzzi, Filip Zelezný (Eds.): Inductive Logic Programming - 22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7842, Springer 2013, ISBN 978-3-642-38811-8
- [i4]Elena Bellodi, Fabrizio Riguzzi: Structure Learning of Probabilistic Logic Programs by Searching the Clause Space. CoRR abs/1309.2080 (2013)
- 2012
- [j20]Elena Bellodi, Fabrizio Riguzzi: Experimentation of an expectation maximization algorithm for probabilistic logic programs. Intelligenza Artificiale 6(1): 3-18 (2012)
- [j19]Fabrizio Riguzzi, Nicola Di Mauro: Applying the information bottleneck to statistical relational learning. Machine Learning 86(1): 89-114 (2012)
- [c37]Fabrizio Riguzzi: Optimizing Inference for Probabilistic Logic Programs Exploiting Independence and Exclusiveness. CILC 2012: 206-220
- [c36]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma: Probabilistic Ontologies in Datalog+/-. CILC 2012: 221-235
- [c35]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma: Probabilistic Datalog+/- under the Distribution Semantics. Description Logics 2012
- [c34]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli: Constraint and Optimization techniques for supporting Policy Making. ISAIM 2012
- [c33]Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese: Epistemic and Statistical Probabilistic Ontologies. URSW 2012: 3-14
- [e1]Fabrizio Riguzzi, Filip Zelezný (Eds.): Late Breaking Papers of the 22nd International Conference on Inductive Logic Programming, Dubrovnik, Croatia, September 17-19, 2012. CEUR Workshop Proceedings 975, CEUR-WS.org 2012
- 2011
- [j18]Marco Alberti, Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari: Learning specifications of interaction protocols and business processes and proving their properties. Intelligenza Artificiale 5(1): 71-75 (2011)
- [j17]Fabrizio Riguzzi, Terrance Swift: The PITA system: Tabling and answer subsumption for reasoning under uncertainty. TPLP 11(4-5): 433-449 (2011)
- [c32]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Davide Sottara, Alessandro Cangini, Paolo Cagnoli: An Application of Fuzzy Logic to Strategic Environmental Assessment. AI*IA 2011: 324-335
- [c31]Fabrizio Riguzzi: MCINTYRE: A Monte Carlo Algorithm for Probabilistic Logic Programming. CILC 2011: 25-39
- [c30]Elena Bellodi, Fabrizio Riguzzi: EM over Binary Decision Diagrams for Probabilistic Logic Programs. CILC 2011: 229-243
- [c29]Elena Bellodi, Fabrizio Riguzzi: Learning the Structure of Probabilistic Logic Programs. ILP 2011: 61-75
- [c28]Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Simone Albani: A Distribution Semantics for Probabilistic Ontologies. URSW 2011: 75-86
- [i3]Fabrizio Riguzzi, Terrance Swift: The PITA System: Tabling and Answer Subsumption for Reasoning under Uncertainty. CoRR abs/1107.4747 (2011)
- [i2]Fabrizio Riguzzi, Terrance Swift: Well-Definedness and Efficient Inference for Probabilistic Logic Programming under the Distribution Semantics. CoRR abs/1110.0631 (2011)
- 2010
- [j16]Fabrizio Riguzzi: SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions. Fundam. Inform. 102(3-4): 429-466 (2010)
- [j15]
- [j14]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli: Logic-based decision support for strategic environmental assessment. TPLP 10(4-6): 643-658 (2010)
- [c27]
- [c26]Fabrizio Riguzzi, Terrance Swift: An Extended Semantics for Logic Programs with Annotated Disjunctions and its Efficient Implementation. CILC 2010
- [c25]Fabrizio Riguzzi, Terrance Swift: Tabling and Answer Subsumption for Reasoning on Logic Programs with Annotated Disjunctions. ICLP (Technical Communications) 2010: 162-171
- [c24]Stefano Bragaglia, Fabrizio Riguzzi: Approximate Inference for Logic Programs with Annotated Disjunctions. ILP 2010: 30-37
- [c23]Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma: Probabilistic Declarative Process Mining. KSEM 2010: 292-303
- [p1]Massimiliano Cattafi, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari: Incremental Declarative Process Mining. Smart Information and Knowledge Management 2010: 103-127
- [i1]Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Paolo Cagnoli: Logic-Based Decision Support for Strategic Environmental Assessment. CoRR abs/1007.3159 (2010)
2000 – 2009
- 2009
- [j13]Sergio Storari, Fabrizio Riguzzi, Evelina Lamma: Exploiting association and correlation rules parameters for learning Bayesian networks. Intell. Data Anal. 13(5): 689-701 (2009)
- [j12]Fabrizio Riguzzi: Extended semantics and inference for the Independent Choice Logic. Logic Journal of the IGPL 17(6): 589-629 (2009)
- [j11]Federico Chesani, Evelina Lamma, Paola Mello, Marco Montali, Fabrizio Riguzzi, Sergio Storari: Exploiting Inductive Logic Programming Techniques for Declarative Process Mining. T. Petri Nets and Other Models of Concurrency 2: 278-295 (2009)
- 2008
- [j10]Fabrizio Riguzzi: ALLPAD: approximate learning of logic programs with annotated disjunctions. Machine Learning 70(2-3): 207-223 (2008)
- [c22]Federico Chesani, Paola Mello, Marco Montali, Fabrizio Riguzzi, Maurizio Sebastianis, Sergio Storari: Checking Compliance of Execution Traces to Business Rules. Business Process Management Workshops 2008: 134-145
- [c21]Fabrizio Riguzzi: Inference with Logic Programs with Annotated Disjunctions under the Well Founded Semantics. ICLP 2008: 667-671
- 2007
- [c20]
- [c19]Evelina Lamma, Paola Mello, Marco Montali, Fabrizio Riguzzi, Sergio Storari: Inducing Declarative Logic-Based Models from Labeled Traces. BPM 2007: 344-359
- [c18]Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Sergio Storari: Applying Inductive Logic Programming to Process Mining. ILP 2007: 132-146
- 2006
- [j9]Evelina Lamma, Paola Mello, Anna Nanetti, Fabrizio Riguzzi, Sergio Storari, Gianfranco Valastro: Artificial Intelligence Techniques for Monitoring Dangerous Infections. IEEE Transactions on Information Technology in Biomedicine 10(1): 143-155 (2006)
- [c17]Fabrizio Riguzzi: ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions. ILP 2006: 43-45
- 2005
- [c16]Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, Stefano Volinia: Bayesian Networks Learning for Gene Expression Datasets. IDA 2005: 109-120
- 2004
- [j8]Evelina Lamma, Paola Mello, Fabrizio Riguzzi: A System for Measuring Function Points from an ER-DFD Specification. Comput. J. 47(3): 358-372 (2004)
- [c15]Evelina Lamma, Fabrizio Riguzzi, Sergio Storari: Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm. ECAI 2004: 500-504
- [c14]
- 2003
- [j7]Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, Paola Mello, Anna Nanetti: Discovering Validation Rules from Microbiological Data. New Generation Comput. 21(2): 123-133 (2003)
- [j6]Evelina Lamma, Fabrizio Riguzzi, Luís Moniz Pereira: Belief Revision via Lamarckian Evolution. New Generation Comput. 21(3): 247-275 (2003)
- [c13]Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi, Sergio Storari: Improving the SLA Algorithm Using Association Rules. AI*IA 2003: 165-175
- 2002
- [c12]Evelina Lamma, G. Modestino, Fabrizio Riguzzi, Sergio Storari, Paola Mello, Anna Nanetti: An Intelligent Medical System for Mocrobiological Data Validation and Nosocomial Infection Surveillance. CBMS 2002: 13-20
- [c11]Evelina Lamma, Fabrizio Riguzzi, Luís Moniz Pereira: Belief Revision via Lamarckian Evolution. IC-AI 2002: 1264-1270
- 2001
- [j5]Rita Cucchiara, Paola Mello, Massimo Piccardi, Fabrizio Riguzzi: An application of machine learning and statistics to defect detection. Intell. Data Anal. 5(2): 151-164 (2001)
- [j4]Evelina Lamma, L. Maestrami, Paola Mello, Fabrizio Riguzzi, Sergio Storari: Rule-based Programming for Building Expert Systems: a Comparison in the Microbiological Data Validation and Surveillance Domain. Electr. Notes Theor. Comput. Sci. 59(4): 397-411 (2001)
- [c10]Evelina Lamma, Luís Moniz Pereira, Fabrizio Riguzzi: Belief Revision by Lamarckian Evolution. EvoWorkshops 2001: 404-413
- [c9]Evelina Lamma, Paola Mello, Anna Nanetti, G. Poli, Fabrizio Riguzzi, Sergio Storari: An Expert System for Microbiological Data Validation and Surveillance. ISMDA 2001: 153-160
- 2000
- [j3]Evelina Lamma, Fabrizio Riguzzi, Luís Moniz Pereira: Strategies in Combined Learning via Logic Programs. Machine Learning 38(1-2): 63-87 (2000)
- [j2]Antonis C. Kakas, Fabrizio Riguzzi: Abductive Concept Learning. New Generation Comput. 18(3): 243-294 (2000)
- [c8]Evelina Lamma, M. Manservigi, Paola Mello, Sergio Storari, Fabrizio Riguzzi: A System for Monitoring Nosocomial Infections. ISMDA 2000: 282-292
1990 – 1999
- 1999
- [j1]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi: Integrating Induction and Abduction in Logic Programming. Inf. Sci. 116(1): 25-54 (1999)
- [c7]Michela Milano, Andrea Omicini, Fabrizio Riguzzi: Adopting an Object-Oriented Data Model in Inductive Logic Programming. FLAIRS Conference 1999: 273-279
- 1998
- [c6]Antonis C. Kakas, Evelina Lamma, Fabrizio Riguzzi: Learning Multiple Predicates. AIMSA 1998: 303-316
- [c5]
- 1997
- [c4]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi: An Algorithm for Learning Abductive Rules. APPIA-GULP-PRODE 1997: 295-306
- [c3]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi: Introducing Abduction into (Extensional) Inductive Logic Programming Systems. AI*IA 1997: 183-194
- [c2]
- [c1]Evelina Lamma, Paola Mello, Michela Milano, Fabrizio Riguzzi: A System for Abductive Learning of Logic Programs. LPKR 1997: 102-122
Coauthor Index
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last updated on 2013-10-16 21:29 CEST by the dblp team