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2020 – today
- 2023
- [c87]Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari:
How to Turn Your Knowledge Graph Embeddings into Generative Models. NeurIPS 2023 - [i10]Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari:
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits. CoRR abs/2305.15944 (2023) - 2022
- [c86]Roberto Barile, Claudia d'Amato, Nicola Di Mauro, Stefano Ferilli, Nunzia Lomonte:
Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays. AI³@AI*IA 2022 - 2021
- [c85]Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile:
Random probabilistic circuits. UAI 2021: 1682-1691 - 2020
- [j18]Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8: 53346-53359 (2020)
2010 – 2019
- 2019
- [j17]Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari:
Ensembles of density estimators for positive-unlabeled learning. J. Intell. Inf. Syst. 53(2): 199-217 (2019) - [j16]Antonio Vergari, Nicola Di Mauro, Floriana Esposito:
Visualizing and understanding Sum-Product Networks. Mach. Learn. 108(4): 551-573 (2019) - [c84]Annalisa Appice, Nicola Di Mauro, Donato Malerba:
Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC 2019: 184-188 - [c83]Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile:
Activity Prediction of Business Process Instances with Inception CNN Models. AI*IA 2019: 348-361 - [c82]Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops 2019: 281-290 - [c81]Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba:
Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML 2019 - [i9]Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting:
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR abs/1901.03704 (2019) - 2018
- [j15]Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari:
Sum-Product Network structure learning by efficient product nodes discovery. Intelligenza Artificiale 12(2): 143-159 (2018) - [c80]Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting:
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. AAAI 2018: 3828-3835 - [c79]Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito:
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI 2018: 4163-4170 - [c78]Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
Extremely Randomized CNets for Multi-label Classification. AI*IA 2018: 334-347 - [c77]Nicola Di Mauro, Stefano Ferilli:
Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data. ISMIS 2018: 281-290 - 2017
- [c76]Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari:
Alternative Variable Splitting Methods to Learn Sum-Product Networks. AI*IA 2017: 334-346 - [c75]Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito:
Encoding and Decoding Representations with Sum- and Max-Product Networks. ICLR (Workshop) 2017 - [c74]Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari:
Density Estimators for Positive-Unlabeled Learning. NFMCP@PKDD/ECML 2017: 49-64 - [c73]Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Floriana Esposito:
Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks. ECML/PKDD (1) 2017: 203-219 - [c72]Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Fabrizio Giuseppe Ventola, Floriana Esposito:
End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. DC@PKDD/ECML 2017 - [i8]Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting:
Sum-Product Networks for Hybrid Domains. CoRR abs/1710.03297 (2017) - 2016
- [c71]Nicola Di Mauro, Antonio Vergari, Floriana Esposito:
Multi-Label Classification with Cutset Networks. Probabilistic Graphical Models 2016: 147-158 - [i7]Antonio Vergari, Nicola Di Mauro, Floriana Esposito:
Towards Representation Learning with Tractable Probabilistic Models. CoRR abs/1608.02341 (2016) - [i6]Antonio Vergari, Nicola Di Mauro, Floriana Esposito:
Visualizing and Understanding Sum-Product Networks. CoRR abs/1608.08266 (2016) - 2015
- [j14]Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi:
Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn. 100(1): 127-156 (2015) - [c70]Nicola Di Mauro, Antonio Vergari, Floriana Esposito:
Learning Accurate Cutset Networks by Exploiting Decomposability. AI*IA 2015: 221-232 - [c69]Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile:
Learning Bayesian Random Cutset Forests. ISMIS 2015: 122-132 - [c68]Antonio Vergari, Nicola Di Mauro, Floriana Esposito:
Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning. ECML/PKDD (2) 2015: 343-358 - 2014
- [j13]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Grasp and Path-Relinking for Coalition Structure Generation. Fundam. Informaticae 129(3): 251-277 (2014) - [j12]Nicola Di Mauro, Claudio Taranto, Floriana Esposito:
Link classification with probabilistic graphs. J. Intell. Inf. Syst. 42(2): 181-206 (2014) - [c67]Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
Assessing Document Relevance by Modeling Citation Networks with Probabilistic Graphs. IRCDL 2014: 68-75 - 2013
- [j11]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): 77-89 (2013) - [c66]Nicola Di Mauro, Floriana Esposito, Stefano Ferilli:
Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil's Tease. ICDAR 2013: 882-886 - [i5]Nicola Di Mauro, Floriana Esposito:
Ensemble Relational Learning based on Selective Propositionalization. CoRR abs/1311.3735 (2013) - 2012
- [j10]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Social networks and statistical relational learning: a survey. Int. J. Soc. Netw. Min. 1(2): 185-208 (2012) - [j9]Fabrizio Riguzzi, Nicola Di Mauro:
Applying the information bottleneck to statistical relational learning. Mach. Learn. 86(1): 89-114 (2012) - [c65]Claudio Taranto, Nicola Di Mauro, Floriana Esposito:
Uncertain Graphs meet Collaborative Filtering. IIR 2012: 89-100 - [c64]Nicola Di Mauro, Stefano Ferilli, Floriana Esposito:
Learning to Recognize Critical Cells in Document Tables. IRCDL 2012: 105-116 - [c63]Claudio Taranto, Nicola Di Mauro, Floriana Esposito:
Uncertain (Multi)Graphs for Personalization Services in Digital Libraries. IRCDL 2012: 141-152 - [c62]Claudio Taranto, Nicola Di Mauro, Floriana Esposito:
Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns. NFMCP 2012: 155-169 - [i4]Claudio Taranto, Nicola Di Mauro, Floriana Esposito:
Language-Constraint Reachability Learning in Probabilistic Graphs. CoRR abs/1205.5367 (2012) - 2011
- [c61]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
Plugging Numeric Similarity in First-Order Logic Horn Clauses Comparison. AI*IA 2011: 33-44 - [c60]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Markov Logic Networks for Document Layout Correction. IEA/AIE (1) 2011: 275-284 - [c59]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
mLynx: Relational Mutual Information. ILP (Late Breaking Papers) 2011: 181-188 - [c58]Claudio Taranto, Nicola Di Mauro, Floriana Esposito:
Probabilistic Inference over Image Networks. IRCDL 2011: 1-13 - [c57]Floriana Esposito, Nicola Di Mauro, Claudio Taranto, Stefano Ferilli:
Computational Models Enhancing Semantic Access to Digital Repositories. IRCDL 2011: 107-110 - [c56]Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Marenglen Biba:
DDTA - Digitalisation of Districts in the Textile and Clothing Sector. IRCDL 2011: 119-122 - [c55]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Optimizing Probabilistic Models for Relational Sequence Learning. ISMIS 2011: 240-249 - [c54]Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito:
A Taxonomic Generalization Technique for Natural Language Processing. ISMIS 2011: 418-427 - [c53]Claudio Taranto, Nicola Di Mauro, Floriana Esposito:
rsLDA: A Bayesian hierarchical model for relational learning. ICDKE 2011: 68-74 - [p4]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
Automatic Document Layout Analysis through Relational Machine Learning. Learning Structure and Schemas from Documents 2011: 73-96 - [p3]Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli:
A Relational Approach to Sensor Network Data Mining. Information Retrieval and Mining in Distributed Environments 2011: 163-181 - [i3]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
GRASP and path-relinking for Coalition Structure Generation. CoRR abs/1103.1157 (2011) - 2010
- [c52]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Coalition Structure Generation with GRASP. AIMSA 2010: 111-120 - [c51]Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito:
Relational Sequence based Classification in Multi-agent Systems. ICAART (1) 2010: 619-622 - [c50]Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito:
Merging Structural and Taxonomic Similarity for Text Retrieval Using Relational Descriptions. IRCDL 2010: 149-160 - [c49]Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito:
Classifying Agent Behaviour through Relational Sequential Patterns. KES-AMSTA (1) 2010: 273-282 - [c48]Claudio Taranto, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito:
Approximate image color correlograms. ACM Multimedia 2010: 1127-1130 - [p2]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Approximate Relational Reasoning by Stochastic Propositionalization. Advances in Intelligent Information Systems 2010: 81-109 - [i2]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
GRASP for the Coalition Structure Formation Problem. CoRR abs/1004.2880 (2010) - [i1]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Feature Construction for Relational Sequence Learning. CoRR abs/1006.5188 (2010)
2000 – 2009
- 2009
- [j8]Stefano Ferilli, Teresa Maria Altomare Basile, Marenglen Biba, Nicola Di Mauro, Floriana Esposito:
A General Similarity Framework for Horn Clause Logic. Fundam. Informaticae 90(1-2): 43-66 (2009) - [c47]Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito:
Plugging Taxonomic Similarity in First-Order Logic Horn Clauses Comparison. AI*IA 2009: 131-140 - [c46]Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito:
Relational Temporal Data Mining for Wireless Sensor Networks. AI*IA 2009: 416-425 - [c45]Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
A Logic Programming Framework for Learning by Imitation. ICEIS (2) 2009: 218-223 - [c44]Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito:
Relational Sequence Clustering for Aggregating Similar Agents. ISMIS 2009: 361-370 - [c43]Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Relational Learning by Imitation. KES-AMSTA 2009: 273-282 - 2008
- [j7]Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli:
Multi-Dimensional Relational Sequence Mining. Fundam. Informaticae 89(1): 23-43 (2008) - [c42]Stefano Ferilli, Marenglen Biba, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
k-Nearest Neighbor Classification on First-Order Logic Descriptions. ICDM Workshops 2008: 202-210 - [c41]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Stochastic Propositionalization for Efficient Multi-relational Learning. ISMIS 2008: 78-83 - [c40]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito:
Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases. SUM 2008: 160-173 - [p1]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction. Machine Learning in Document Analysis and Recognition 2008: 105-138 - 2007
- [j6]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Inference of abduction theories for handling incompleteness in first-order learning. Knowl. Inf. Syst. 11(2): 217-242 (2007) - [c39]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito:
Similarity-Guided Clause Generalization. AI*IA 2007: 278-289 - [c38]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito:
Generalization-Based Similarity for Conceptual Clustering. MCD 2007: 13-26 - [c37]Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Incremental Learning of First Order Logic Theories for the Automatic Annotations of Web Documents. ICDAR 2007: 1093-1097 - [c36]Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Unsupervised Discretization Using Kernel Density Estimation. IJCAI 2007: 696-701 - [c35]Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks. KES (1) 2007: 132-139 - [c34]Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Mining Time-series Sequences of Reactions for Biologically Active Patterns in Metabolic Pathways. SEBD 2007: 40-51 - [c33]Marenglen Biba, Stefano Ferilli, Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile:
A Fast Partial Memory Approach to Incremental Learning through an Advanced Data Storage Framework. SEBD 2007: 52-63 - [c32]Marenglen Biba, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework. WILF 2007: 666-673 - 2006
- [j5]Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Multistrategy Operators for Relational Learning and Their Cooperation. Fundam. Informaticae 69(4): 389-409 (2006) - [j4]Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro:
Text learning for user profiling in e-commerce. Int. J. Syst. Sci. 37(13): 905-918 (2006) - [c31]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques. DIAL 2006: 204-219 - [c30]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 - [c29]Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito, Marenglen Biba:
Automatic Topics Identification for Reviewer Assignment. IEA/AIE 2006: 721-730 - [c28]Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Towards Automatic Digital Library Content-based Management. IRCDL 2006: 49-50 - [c27]Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Intelligent Methodologies for Scientific Conference Management. ISMIS 2006: 258-267 - 2005
- [b1]Nicola Di Mauro:
First-order incremental theory revision. University of Bari, Italy, 2005 - [c26]Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro:
Learning User Profiles from Text in e-Commerce. ADMA 2005: 370-381 - [c25]Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile:
Avoiding Order Effects in Incremental Learning. AI*IA 2005: 110-121 - [c24]Teresa Maria Altomare Basile, Floriana Esposito, Nicola Di Mauro, Stefano Ferilli:
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning. AI*IA 2005: 430-441 - [c23]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
On the LearnAbility of Abstraction Theories from Observations for Relational Learning. ECML 2005: 120-132 - [c22]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Intelligent Document Processing. ICDAR 2005: 1100-1104 - [c21]Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli:
GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems. IEA/AIE 2005: 789-798 - [c20]Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito:
Automatic Induction of Abduction and Abstraction Theories from Observations. ILP 2005: 103-120 - [c19]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Semantic-Based Access to Digital Document Databases. ISMIS 2005: 373-381 - 2004
- [j3]Stefano Ferilli, Luigi Iannone, Giovanni Semeraro, Teresa Maria Altomare Basile, Nicola Di Mauro, Ignazio Palmisano:
Automatic Annotation of Historical Paper Documents. Intelligenza Artificiale 1(1): 44-49 (2004) - [j2]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) - [c18]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro:
Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL 2004: 328-335 - [c17]Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile:
A Backtracking Strategy for Order-Independent Incremental Learning. ECAI 2004: 460-464 - [c16]Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro:
Automatic Induction of Domain-Related Information: Learning Descriptors Type Domains. ECAI 2004: 1011-1012 - [c15]Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile:
An Algorithm for Incremental Mode Induction. IEA/AIE 2004: 512-522 - [c14]Teresa Maria Altomare Basile, Stefano Ferilli, Nicola Di Mauro, Floriana Esposito:
Incremental Induction of Classification Rules for Cultural Heritage Documents. IEA/AIE 2004: 915-923 - [c13]Oriana Licchelli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Giovanni Semeraro, Stefano Ferilli:
Machine Learning Approaches for Inducing Student Models. IEA/AIE 2004: 935-944 - [c12]Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro:
Discovering Logical Structures in Digital Documents. Intelligent Information Systems 2004: 513-521 - [c11]Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro:
Automatic Induction of First-Order Logic Descriptors Type Domains from Observations. ILP 2004: 116-131 - 2003
- [j1]Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro:
Incremental Multistrategy Learning for Document Processing. Appl. Artif. Intell. 17(8-9): 859-883 (2003) - [c10]Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito:
A Complete Subsumption Algorithm. AI*IA 2003: 1-13 - [c9]Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito:
Incremental Induction of Rules for Document Image Understanding. AI*IA 2003: 176-188 - [c8]Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro:
Automatic Induction of Rules for Classification and Interpretation of Cultural Heritage Material. ECDL 2003: 152-163 - [c7]Floriana Esposito, Giovanni Semeraro, Stefano Ferilli, Marco Degemmis, Nicola Di Mauro, Teresa Maria Altomare Basile, Pasquale Lops:
Evaluation and Validation of Two Approaches to User Profiling. EWMF 2003: 130-147 - [c6]Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro:
Improving Automatic Labelling through RDF Management. ICADL 2003: 578-589 - [c5]Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile:
Spaces of Theories with Ideal Refinement Operators. IJCAI 2003: 527-532 - [c4]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 - [c3]Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito:
Theta-Subsumption and Resolution: A New Algorithm. ISMIS 2003: 384-391 - 2002
- [c2]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 - [c1]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
Coauthor Index
aka: Teresa Maria Altomare Basile
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