Linear temporal logic as an executable semantics for planning languages MC Mayer, C Limongelli, A Orlandini, V Poggioni Journal of Logic, Language and Information 16 (1), 63-89, 2007 | 50 | 2007 |
A deep learning semantic approach to emotion recognition using the IBM watson bluemix alchemy language G Biondi, V Franzoni, V Poggioni International Conference on Computational Science and Its Applications, 718-729, 2017 | 29 | 2017 |
Planning in reactive environments A Milani, V Poggioni Computational intelligence 23 (4), 439-463, 2007 | 26 | 2007 |
Experimental evaluation of pheromone models in ACOPlan M Baioletti, A Milani, V Poggioni, F Rossi Annals of Mathematics and Artificial Intelligence 62 (3), 187-217, 2011 | 25 | 2011 |
A multistrain bacterial model for link prediction andrea chiancone A Chiancone, A Milani, V Poggioni, S Pallottelli, A Madotto, V Franzoni 2015 11th International Conference on Natural Computation (ICNC), 1075-1079, 2015 | 22 | 2015 |
A bidirectional heuristic search for web service composition with costs N Ukey, R Niyogi, K Singh, A Milani, V Poggioni International Journal of Web and Grid Services 6 (2), 160-175, 2010 | 22 | 2010 |
Automated Classification of Book Blurbs According to the Emotional Tags of the Social Network Zazie. V Franzoni, V Poggioni, F Zollo ESSEM@ AI* IA 1096, 83-94, 2013 | 20 | 2013 |
Fake twitter followers detection by denoising autoencoder J Castellini, V Poggioni, G Sorbi Proceedings of the International Conference on Web Intelligence, 195-202, 2017 | 17 | 2017 |
An ACO approach to planning M Baioletti, A Milani, V Poggioni, F Rossi European Conference on Evolutionary Computation in Combinatorial …, 2009 | 13 | 2009 |
Self regulating mechanisms for network immunization L Mancini, A Milani, V Poggioni, A Chiancone AI Communications 29 (2), 301-317, 2016 | 11 | 2016 |
Data summarization model for user action log files E Gentili, A Milani, V Poggioni International Conference on Computational Science and Its Applications, 539-549, 2012 | 11 | 2012 |
Ant search strategies for planning optimization M Baioletti, A Milani, V Poggioni, F Rossi Proceedings of the International Conference on Automated Planning and …, 2009 | 9 | 2009 |
Differential evolution for neural networks optimization M Baioletti, G Di Bari, A Milani, V Poggioni Mathematics 8 (1), 69, 2020 | 8 | 2020 |
Can differential evolution be an efficient engine to optimize neural networks? M Baioletti, G Di Bari, V Poggioni, M Tracolli International Workshop on Machine Learning, Optimization, and Big Data, 401-413, 2017 | 8 | 2017 |
Playfully coding: Embedding computer science outreach in schools H Dee, X Cufi, A Milani, M Marian, V Poggioni, O Aubreton, AR Rabionet, ... Proceedings of the 2017 ACM Conference on Innovation and Technology in …, 2017 | 7 | 2017 |
Optimal planning with ACO M Baioletti, A Milani, V Poggioni, F Rossi Congress of the Italian Association for Artificial Intelligence, 212-221, 2009 | 7 | 2009 |
A Multivalued Logic Model of Planning. M Baioletti, A Milani, V Poggioni, S Suriani FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS 141, 575, 2006 | 6 | 2006 |
Can we infer book classification by blurbs V Franzoni, V Poggioni, F Zollo CEUR Workshop Proceedings 1127, 16-19, 2014 | 5 | 2014 |
Modeling educational domains in a planning framework A Milani, S Suriani, V Poggioni Proceedings of the 7th international Conference on Electronic Commerce, 748-752, 2005 | 5 | 2005 |
Planning with fuzzy resources M Baioletti, A Milani, V Poggioni Congress of the Italian Association for Artificial Intelligence, 336-348, 2003 | 5 | 2003 |