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Nicola Fanizzi
2010 – today
- 2013
[c97]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Transductive Inference for Class-Membership Propagation in Web Ontologies. ESWC 2013: 457-471- [c96]Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Rank prediction for semantically annotated resources. SAC 2013: 333-338
- [c95]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz: Semantic Web Search and Inductive Reasoning. URSW (LNCS Vol.) 2013: 237-261
- [c94]Giuseppe Rizzo, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Assertion Prediction with Ontologies through Evidence Combination. URSW (LNCS Vol.) 2013: 282-299
- [c93]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz: Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW (LNCS Vol.) 2013: 300-314
- [e8]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool (Eds.): Uncertainty Reasoning for the Semantic Web II, International Workshops URSW 2008-2010 Held at ISWC and UniDL 2010 Held at FLoC, Revised Selected Papers. Lecture Notes in Computer Science 7123, Springer 2013, ISBN 978-3-642-35974-3
- 2012
- [j20]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz: Ontology-based semantic search on the Web and its combination with the power of inductive reasoning. Ann. Math. Artif. Intell. 65(2-3): 83-121 (2012)
- [j19]Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi: Mining the Semantic Web - Statistical learning for next generation knowledge bases. Data Min. Knowl. Discov. 24(3): 613-662 (2012)
- [j18]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Pasquale Minervini: Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. Int. J. Semantic Computing 6(4): 429-446 (2012)
- [j17]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Induction of robust classifiers for web ontologies through kernel machines. J. Web Sem. 11: 1-13 (2012)
- [c92]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi: Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships. CILC 2012: 191-205
- [c91]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi: Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. SAC 2012: 378-383
- [c90]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Mining Linked Open Data through Semi-supervised Learning Methods Based on Self-Training. ICSC 2012: 277-284
- [c89]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees. ICSC 2012: 325-332
- [c88]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi: A Graph Regularization Based Approach to Transductive Class-Membership Prediction. URSW 2012: 39-50
- [e7]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool (Eds.): Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, Boston, USA, November 11, 2012. CEUR Workshop Proceedings 900, CEUR-WS.org 2012
- 2011
- [j16]Nicola Fanizzi: Concept Induction in Description Logics Using Information-Theoretic Heuristics. Int. J. Semantic Web Inf. Syst. 7(2): 23-44 (2011)
- [c87]Nicola Fanizzi, Claudia d'Amato: Learning with Semantic Kernels for Clausal Knowledge Bases. ISMIS 2011: 250-259
- [c86]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi: Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge. URSW 2011: 63-74
- [c85]Giuseppe Rizzo, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Prediction of class and property assertions on OWL ontologies through evidence combination. WIMS 2011: 45
- [e6]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles (Eds.): Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), Bonn, Germany, October 23, 2011. CEUR Workshop Proceedings 778, CEUR-WS.org 2011
- 2010
- [j15]Floriana Esposito, Claudia d'Amato, Nicola Fanizzi: Fuzzy Clustering for Semantic Knowledge Bases. Fundam. Inform. 99(2): 187-205 (2010)
- [j14]Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito: Dl-Link: a Conceptual Clustering Algorithm for Indexing Description Logics Knowledge Bases. Int. J. Semantic Computing 4(4): 453-486 (2010)
- [j13]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Inductive learning for the Semantic Web: What does it buy? Semantic Web 1(1-2): 53-59 (2010)
- [c84]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Towards Learning to Rank in Description Logics. ECAI 2010: 985-986
- [c83]Claudia d'Amato, Nicola Fanizzi, Agnieszka Lawrynowicz: Categorize by: Deductive Aggregation of Semantic Web Query Results. ESWC (1) 2010: 91-105
- [c82]Agnieszka Lawrynowicz, Claudia d'Amato, Nicola Fanizzi: A Refinement Operator Based Method for Semantic Grouping of Conjunctive Query Results. KES (3) 2010: 359-368
- [c81]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Induction of Concepts in Web Ontologies through Terminological Decision Trees. ECML/PKDD (1) 2010: 442-457
- [c80]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Learning to Rank Individuals in Description Logics Using Kernel Perceptrons. RR 2010: 173-181
- [c79]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Towards the induction of terminological decision trees. SAC 2010: 1423-1427
- [c78]Floriana Esposito, Nicola Fanizzi, Claudia d'Amato: Recovering uncertain mappings through structural validation and aggregation with the MoTo system. SAC 2010: 1428-1432
- [c77]Claudia d'Amato, Floriana Esposito, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz: Inductive reasoning and semantic web search. SAC 2010: 1446-1447
- [c76]Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito: Efficient Resource Retrieval from Semantic Knowledge Bases. ICSC 2010: 244-251
- [c75]Thomas Scharrenbach, Claudia d'Amato, Nicola Fanizzi, Rolf Grütter, Bettina Waldvogel, Abraham Bernstein: Default Logics for Plausible Reasoning with Controversial Axioms. URSW 2010: 105-108
- [c74]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz: Combining Semantic Web Search with the Power of Inductive Reasoning. SUM 2010: 137-150
- [e5]Fernando Bobillo, Rommel N. Carvalho, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool (Eds.): Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), collocated with the 9th International Semantic Web Conference (ISWC-2010), Shanghai, China, November 7, 2010. CEUR Workshop Proceedings 654, CEUR-WS.org 2010
2000 – 2009
- 2009
- [j12]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Inductive Classification of Semantically Annotated Resources through Reduced Coulomb Energy Networks. Int. J. Semantic Web Inf. Syst. 5(4): 19-38 (2009)
- [j11]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Metric-based stochastic conceptual clustering for ontologies. Inf. Syst. 34(8): 792-806 (2009)
- [c73]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification. ESWC 2009: 323-337
- [c72]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz: Inductive Query Answering and Concept Retrieval Exploiting Local Models. ISDA 2009: 1209-1214
- [c71]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Fuzzy Clustering for Categorical Spaces. ISMIS 2009: 161-170
- [c70]Claudia d'Amato, Nicola Fanizzi, Bettina Fazzinga, Georg Gottlob, Thomas Lukasiewicz: Combining Semantic Web Search with the Power of Inductive Reasoning. URSW 2009: 15-26
- [c69]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning. URSW 2009: 27-38
- [c68]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito, Thomas Lukasiewicz: Approximate Classification of Semantically Annotated Web Resources Exploiting Pseudo-metrics Induced by Local Models. Web Intelligence 2009: 689-692
- [e4]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Michael Pool, Pavel Smrz (Eds.): Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference (ISWC-2009), Washington DC, USA, October 26, 2009. CEUR Workshop Proceedings 527, CEUR-WS.org 2009
- [i1]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: A Semantic Similarity Measure for Expressive Description Logics. CoRR abs/0911.5043 (2009)
- 2008
- [j10]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Induction of Classifiers through Non-Parametric Methods for Approximate Classification and Retrieval with Ontologies. Int. J. Semantic Computing 2(3): 403-423 (2008)
- [j9]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Evolutionary Conceptual Clustering Based on Induced Pseudo-Metrics. Int. J. Semantic Web Inf. Syst. 4(3): 44-67 (2008)
- [c67]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies. DEXA 2008: 808-821
- [c66]Claudia d'Amato, Steffen Staab, Nicola Fanizzi: On the Influence of Description Logics Ontologies on Conceptual Similarity. EKAW 2008: 48-63
- [c65]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Query Answering and Ontology Population: An Inductive Approach. ESWC 2008: 288-302
- [c64]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Conceptual Clustering and Its Application to Concept Drift and Novelty Detection. ESWC 2008: 318-332
- [c63]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: DL-FOIL Concept Learning in Description Logics. ILP 2008: 107-121
- [c62]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Learning with Kernels in Description Logics. ILP 2008: 210-225
- [c61]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: A Multi-relational Hierarchical Clustering Method for DatalogKnowledge Bases. ISMIS 2008: 137-142
- [c60]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Classification and Retrieval through Semantic Kernels. KES (3) 2008: 252-259
- [c59]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Distance-Based Classification in OWL Ontologies. KES (2) 2008: 656-661
- [c58]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases. ICSC 2008: 291-298
- [c57]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Statistical Learning for Inductive Query Answering on OWL Ontologies. International Semantic Web Conference 2008: 195-212
- [c56]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW (LNCS Vol.) 2008: 348-365
- [c55]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito, Thomas Lukasiewicz: Representing Uncertain Concepts in Rough Description Logics via Contextual Indiscernibility Relations. URSW 2008
- [c54]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Analogical Reasoning in Description Logics. URSW (LNCS Vol.) 2008: 330-347
- [c53]Claudia d'Amato, Nicola Fanizzi, Thomas Lukasiewicz: Tractable Reasoning with Bayesian Description Logics. SUM 2008: 146-159
- [c52]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: A Note on the Evaluation of Inductive Concept Classification Procedures. SWAP 2008
- [e3]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Francis Fung, Thomas Lukasiewicz, Trevor Martin, Matthias Nickles, Yun Peng, Michael Pool, Pavel Smrz, Peter Vojtás (Eds.): Proceedings of the Third ISWC Workshop on Uncertainty Reasoning for the Semantic Web Busan, Korea, November 12, 2007. CEUR Workshop Proceedings 327, CEUR-WS.org 2008
- [e2]Fernando Bobillo, Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Trevor P. Martin, Matthias Nickles, Michael Pool, Pavel Smrz (Eds.): Proceedings of the Fourth International Workshop on Uncertainty Reasoning for the Semantic Web, Karlsruhe, Germany, October 26, 2008. CEUR Workshop Proceedings 423, CEUR-WS.org 2008
- [e1]Paulo Cesar G. da Costa, Claudia d'Amato, Nicola Fanizzi, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, Matthias Nickles, Michael Pool (Eds.): Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers. Lecture Notes in Computer Science 5327, Springer 2008, ISBN 978-3-540-89764-4
- 2007
- [j8]Luigi Iannone, Ignazio Palmisano, Nicola Fanizzi: An algorithm based on counterfactuals for concept learning in the Semantic Web. Appl. Intell. 26(2): 139-159 (2007)
- [c51]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Instance-Based Query Answering with Semantic Knowledge Bases. AI*IA 2007: 254-265
- [c50]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: A Hierarchical Clustering Procedure for Semantically Annotated Resources. AI*IA 2007: 266-277
- [c49]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Randomized metric induction and evolutionary conceptual clustering for semantic knowledge bases. CIKM 2007: 51-60
- [c48]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Induction of Optimal Semi-distances for Individuals based on Feature Sets. Description Logics 2007
- [c47]Floriana Esposito, Nicola Fanizzi, Claudia d'Amato: Conceptual Clustering Applied to Ontologies. MCD 2007: 42-56
- [c46]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases. ILP 2007: 29-38
- [c45]Nicola Fanizzi, Claudia d'Amato: Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods. KES (1) 2007: 148-155
- [c44]Nicola Fanizzi, Claudia d'Amato: A Hierarchical Clustering Method for Semantic Knowledge Bases. KES (3) 2007: 653-660
- [c43]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Instance-based retrieval by analogy. SAC 2007: 1398-1402
- [c42]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Approximate Query Answering and Ranking for Semantic Knowledge Bases. SEBD 2007: 124-135
- [c41]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Evolutionary Conceptual Clustering of Semantically Annotated Resources. ICSC 2007: 783-790
- [c40]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Approximate Measures of Semantic Dissimilarity under Uncertainty. URSW 2007
- [c39]Claudia d'Amato, Steffen Staab, Nicola Fanizzi, Floriana Esposito: Efficient Discovery of Services Specified in Description Logics Languages. SMRR 2007
- [c38]Nicola Fanizzi, Claudia d'Amato, Floriana Esposito: Semantic Nearest Neighbor Search in OWL Ontologies. SWAP 2007
- 2006
- [j7]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro: Multistrategy Operators for Relational Learning and Their Cooperation. Fundam. Inform. 69(4): 389-409 (2006)
- [c37]Nicola Fanizzi, Luigi Iannone, Nicola Di Mauro, Floriana Esposito: Tractable Feature Generation Through Description Logics with Value and Number Restrictions. IEA/AIE 2006: 629-638
- [c36]Nicola Fanizzi, Claudia d'Amato: A Declarative Kernel for ALC Concept Descriptions. ISMIS 2006: 322-331
- [c35]Claudia d'Amato, Nicola Fanizzi: Lazy Learning from Terminological Knowledge Bases. ISMIS 2006: 570-579
- [c34]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: A dissimilarity measure for ALC concept descriptions. SAC 2006: 1695-1699
- [c33]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Analogical Reasoning in Description Logics. URSW 2006
- [c32]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: Reasoning by Analogy in Description Logics Through Instance-based Learning. SWAP 2006
- 2005
- [c31]Floriana Esposito, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro: A Counterfactual-Based Learning Algorithm for Description Logic. AI*IA 2005: 406-417
- [c30]Claudia d'Amato, Nicola Fanizzi, Floriana Esposito: A Dissimilarity Measure for the ALC Description Logic. SWAP 2005
- 2004
- [j6]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro: Incremental learning and concept drift in INTHELEX. Intell. Data Anal. 8(3): 213-237 (2004)
- [c29]Floriana Esposito, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro: Induction and Revision of Terminologies. ECAI 2004: 1007-1008
- [c28]Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro: Concept Formation in Expressive Description Logics. ECML 2004: 99-110
- [c27]Nicola Fanizzi, Stefano Ferilli, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro: Downward Refinement in the ALN Description Logic. HIS 2004: 68-73
- [c26]Floriana Esposito, Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro: Knowledge-Intensive Induction of Terminologies from Metadata. International Semantic Web Conference 2004: 441-455
- 2003
- [j5]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro: Incremental Multistrategy Learning for Document Processing. Applied Artificial Intelligence 17(8-9): 859-883 (2003)
- [c25]Nicola Fanizzi, Floriana Esposito, Stefano Ferilli, Giovanni Semeraro: A Methodology for the Induction of Ontological Knowledge from Semantic Annotations. AI*IA 2003: 65-77
- [c24]Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile: Spaces of Theories with Ideal Refinement Operators. IJCAI 2003: 527-532
- [c23]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito, Nicola Fanizzi: An Exhaustive Matching Procedure for the Improvement of Learning Efficiency. ILP 2003: 112-129
- 2002
- [c22]Francesca A. Lisi, Stefano Ferilli, Nicola Fanizzi: Object Identity as Search Bias for Pattern Spaces. ECAI 2002: 375-379
- [c21]Giovanni Semeraro, Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro: Multistrategy Learning of Rules for Automated Classification of Cultural Heritage Material. ICADL 2002: 182-193
- [c20]
- [c19]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro: Cooperation of Multiple Strategies for Automated Learning in Complex Environments. ISMIS 2002: 574-582
- 2001
- [j4]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro: A Generalization Model Based on OI-implication for Ideal Theory Refinement. Fundam. Inform. 47(1-2): 15-33 (2001)
- [c18]Stefano Ferilli, Nicola Fanizzi, Giovanni Semeraro: Learning Logic Models for Automated Text Categorization. AI*IA 2001: 81-86
- [c17]Fabio Abbattista, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops, Giovanni Semeraro: User Profiling in an Application of Electronic Commerce. AI*IA 2001: 87-98
- [c16]Giovanni Semeraro, Stefano Ferilli, Nicola Fanizzi, Floriana Esposito: Document Classification and Interpretation through the Inference of Logic-Based Models. ECDL 2001: 59-70
- [c15]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro: OI-implication: Soundness and Refutation Completeness. IJCAI 2001: 847-852
- [c14]Giovanni Semeraro, Stefano Ferilli, Nicola Fanizzi, Fabio Abbattista: Learning Interaction Models in a Digital Library Service. User Modeling 2001: 44-53
- 2000
- [j3]Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli: Multistrategy Theory Revision: Induction and Abduction in INTHELEX. Machine Learning 38(1-2): 133-156 (2000)
- [c13]Giovanni Semeraro, Fabio Abbattista, Nicola Fanizzi, Stefano Ferilli: Intelligent Information Retrieval in a Digital Library Service. DELOS Workshop: Information Seeking, Searching and Querying in Digital Libraries 2000
- [c12]Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli: Interaction Profiling in Digital Libraries through Learning Tools. ECDL 2000: 229-238
- [c11]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro: Ideal Theory Refinement under Object Identity. ICML 2000: 263-270
- [c10]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro: Refining Logic Theories under OI-Implication. ISMIS 2000: 109-118
1990 – 1999
- 1999
- [j2]Maria Francesca Costabile, Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi: An Adaptive Visual Environment for Digital Libraries. Int. J. on Digital Libraries 2(2-3): 124-143 (1999)
- [c9]Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli: Conceptual Change in Learning Naive Physics: The Computational Model as a Theory Revision Process. AI*IA 1999: 214-225
- [c8]Giovanni Semeraro, Maria Francesca Costabile, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli: A Learning Server for Inducing User Classification Rules in a Digital Library Service. ISMIS 1999: 208-216
- 1998
- [j1]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli: Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. Int. J. on Digital Libraries 2(1): 3-19 (1998)
- [c7]Maria Francesca Costabile, Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli: Interacting With IDL: The Adaptive Visual Interface. ECDL 1998: 515-534
- [c6]Maria Francesca Costabile, Floriana Esposito, Giovanni Semeraro, Nicola Fanizzi, Stefano Ferilli: Interfacce adattative per WWW: il caso di IDL. SEBD 1998: 289-306
- 1997
- [c5]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli, Pasquale Lops: IDL: A Prototypical Intelligent Digital Library Service. AI*IA 1997: 447-450
- [c4]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli: Machine Learning + On-line Libraries = IDL. ECDL 1997: 195-214
- [c3]Giovanni Semeraro, Floriana Esposito, Donato Malerba, Nicola Fanizzi, Stefano Ferilli: A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. LOPSTR 1997: 300-321
- 1995
- [c2]Floriana Esposito, Nicola Fanizzi, Donato Malerba, Giovanni Semeraro: Downward Refinement of Hierarchical Datalog Theories. GULP-PRODE 1995: 148-159
- [c1]Giovanni Semeraro, Floriana Esposito, Nicola Fanizzi, Donato Malerba: Revision of Logical Theories. AI*IA 1995: 365-376
Coauthor Index
[c97] [c96] [c95] [c94] [c93] [e8] [j20] [j19] [j18] [j17] [c92] [c91] [c90] [c89] [c88] [e7] [c87] [c86] [c85] [e6] [j15] [j14] [j13] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [e5] [j12] [j11] [c73] [c72] [c71] [c70] [c69] [c68] [e4] [i1] [j10] [j9] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [e3] [e2] [e1] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c30]
[c97] [c96] [c94] [c93] [j18] [j17] [c90] [c89] [c85] [j15] [j14] [j13] [c84] [c81] [c80] [c79] [c78] [c77] [c76] [j12] [j11] [c73] [c72] [c71] [c69] [c68] [i1] [j10] [j9] [c67] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c43] [c42] [c41] [c40] [c39] [c38] [j7] [c37] [c34] [c33] [c32] [c31] [c30] [j6] [c29] [c26] [j5] [c25] [c23] [c21] [c19] [j4] [c16] [c15] [j3] [c12] [c11] [c10] [j2] [c9] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-10-02 11:11 CEST by the dblp team