A comparative analysis of methods for pruning decision trees F Esposito, D Malerba, G Semeraro, J Kay IEEE transactions on pattern analysis and machine intelligence 19 (5), 476-491, 1997 | 849 | 1997 |
DL-FOIL concept learning in description logics N Fanizzi, C d’Amato, F Esposito Inductive Logic Programming: 18th International Conference, ILP 2008 Prague …, 2008 | 191 | 2008 |
Preface to ECML PKDD 2014: Joint European Conference on Machine Learning and Knowledge Discovery in Databases T Calders, F Esposito, E Hüllermeier, R Meo Springer 8724 (1, 2, 3), 111-749, 2014 | 157 | 2014 |
Transforming paper documents into XML format with WISDOM++ O Altamura, F Esposito, D Malerba International Journal on Document Analysis and Recognition 4, 2-17, 2001 | 139 | 2001 |
Quasi-classical dynamics and vibrational kinetics of N+ N2 (v) system F Esposito, M Capitelli, C Gorse Chemical Physics 257 (2-3), 193-202, 2000 | 139 | 2000 |
Mixed sum-product networks: A deep architecture for hybrid domains A Molina, A Vergari, N Di Mauro, S Natarajan, F Esposito, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 133 | 2018 |
An introduction to symbolic data analysis and the SODAS software E Diday, F Esposito Intelligent Data Analysis 7 (6), 583-601, 2003 | 132 | 2003 |
Top-down induction of model trees with regression and splitting nodes D Malerba, F Esposito, M Ceci, A Appice IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (5), 612-625, 2004 | 130 | 2004 |
Non-equilibrium plasma kinetics: a state-to-state approach M Capitelli, I Armenise, D Bruno, M Cacciatore, R Celiberto, G Colonna, ... Plasma Sources Science and Technology 16 (1), S30, 2007 | 124 | 2007 |
Simplifying, regularizing and strengthening sum-product network structure learning A Vergari, N Di Mauro, F Esposito Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 123 | 2015 |
A semantic similarity measure for expressive description logics C d'Amato, N Fanizzi, F Esposito arXiv preprint arXiv:0911.5043, 2009 | 121 | 2009 |
Multistrategy learning for document recognition F Esposito, D Malerba, G Semeraro Applied Artificial Intelligence an International Journal 8 (1), 33-84, 1994 | 116 | 1994 |
Multistrategy theory revision: Induction and abduction in inthelex F Esposito, G Semeraro, N Fanizzi, S Ferilli Machine Learning 38, 133-156, 2000 | 112 | 2000 |
Query answering and ontology population: An inductive approach C d’Amato, N Fanizzi, F Esposito European semantic web conference, 288-302, 2008 | 109 | 2008 |
Quasiclassical molecular dynamic calculations of vibrationally and rotationally state selected dissociation cross-sections: N+ N2 (v, j)→ 3N F Esposito, M Capitelli Chemical physics letters 302 (1-2), 49-54, 1999 | 107 | 1999 |
QCT calculations for the process N2 (v)+ N→ N2 (v′)+ N in the whole vibrational range F Esposito, M Capitelli Chemical Physics Letters 418 (4-6), 581-585, 2006 | 106 | 2006 |
Vibrational kinetics, electron dynamics and elementary processes in H2 and D2 plasmas for negative ion production: modelling aspects M Capitelli, M Cacciatore, R Celiberto, O De Pascale, P Diomede, ... Nuclear fusion 46 (6), S260, 2006 | 103 | 2006 |
An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization F Esposito, D Malerba, G Semeraro, E Annese, G Scafuro [1990] Proceedings. 10th International Conference on Pattern Recognition 1 …, 1990 | 95 | 1990 |
A dissimilarity measure for ALC concept descriptions C d'Amato, N Fanizzi, F Esposito Proceedings of the 2006 ACM symposium on Applied computing, 1695-1699, 2006 | 89 | 2006 |
Machine learning methods for automatically processing historical documents: From paper acquisition to XML transformation F Esposito, D Malerba, G Semeraro, S Ferilli, O Altamura, TMA Basile, ... First International Workshop on Document Image Analysis for Libraries, 2004 …, 2004 | 89 | 2004 |