| AffectiveSpace 2: Enabling affective intuition for concept-level sentiment analysis E Cambria, J Fu, F Bisio, S Poria Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 213 | 2015 |
| Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis S Poria, I Chaturvedi, E Cambria, F Bisio 2016 international joint conference on neural networks (IJCNN), 4465-4473, 2016 | 167 | 2016 |
| Sentiment data flow analysis by means of dynamic linguistic patterns S Poria, E Cambria, A Gelbukh, F Bisio, A Hussain IEEE Computational Intelligence Magazine 10 (4), 26-36, 2015 | 161 | 2015 |
| An ELM-based model for affective analogical reasoning E Cambria, P Gastaldo, F Bisio, R Zunino Neurocomputing 149, 443-455, 2015 | 136 | 2015 |
| Statistical learning theory and ELM for big social data analysis L Oneto, F Bisio, E Cambria, D Anguita ieee CompUTATionAl inTelliGenCe mAGAzine 11 (3), 45-55, 2016 | 106 | 2016 |
| The CLSA model: A novel framework for concept-level sentiment analysis E Cambria, S Poria, F Bisio, R Bajpai, I Chaturvedi Computational Linguistics and Intelligent Text Processing: 16th …, 2015 | 101 | 2015 |
| Role of muscle synergies in real-time classification of upper limb motions using extreme learning machines CW Antuvan, F Bisio, F Marini, SC Yen, E Cambria, L Masia Journal of neuroengineering and rehabilitation 13 (1), 1-15, 2016 | 58 | 2016 |
| A machine learning approach for Twitter spammers detection C Meda, F Bisio, P Gastaldo, R Zunino 2014 international carnahan conference on security technology (iccst), 1-6, 2014 | 42 | 2014 |
| Real-time behavioral DGA detection through machine learning F Bisio, S Saeli, P Lombardo, D Bernardi, A Perotti, D Massa 2017 International Carnahan Conference on Security Technology (ICCST), 1-6, 2017 | 32 | 2017 |
| Data intensive review mining for sentiment classification across heterogeneous domains F Bisio, P Gastaldo, C Peretti, R Zunino, E Cambria Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013 | 26 | 2013 |
| Semi-supervised learning for affective common-sense reasoning L Oneto, F Bisio, E Cambria, D Anguita Cognitive Computation 9, 18-42, 2017 | 20 | 2017 |
| Fast flux service network detection via data mining on passive DNS traffic P Lombardo, S Saeli, F Bisio, D Bernardi, D Massa Information Security: 21st International Conference, ISC 2018, Guildford, UK …, 2018 | 15 | 2018 |
| Sentiment-oriented information retrieval: Affective analysis of documents based on the senticnet framework F Bisio, C Meda, P Gastaldo, R Zunino, E Cambria Sentiment Analysis and Ontology Engineering: An Environment of Computational …, 2016 | 15 | 2016 |
| Learning with similarity functions: a novel design for the extreme learning machine P Gastaldo, F Bisio, C Gianoglio, E Ragusa, R Zunino Neurocomputing 261, 37-49, 2017 | 14 | 2017 |
| Slt-based elm for big social data analysis L Oneto, F Bisio, E Cambria, D Anguita Cognitive Computation 9, 259-274, 2017 | 13 | 2017 |
| Machine learning techniques applied to Twitter spammers detection C Meda, F Bisio, P Gastaldo, R Zunino International Carnahan Conference on Security Technology, 2014 | 13 | 2014 |
| A learning scheme based on similarity functions for affective common-sense reasoning F Bisio, P Gastaldo, R Zunino, E Cambria 2015 International Joint Conference on Neural Networks (IJCNN), 1-6, 2015 | 12 | 2015 |
| Real-time monitoring of Twitter traffic by using semantic networks F Bisio, C Meda, R Zunino, R Surlinelli, E Scillia, A Ottaviano Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 11 | 2015 |
| Semi-supervised machine learning approach for unknown malicious software detection F Bisio, P Gastaldo, R Zunino, S Decherchi 2014 IEEE International Symposium on Innovations in Intelligent Systems and …, 2014 | 11 | 2014 |
| DNS covert channel detection via behavioral analysis: a machine learning approach S Saeli, F Bisio, P Lombardo, D Massa arXiv preprint arXiv:2010.01582, 2020 | 10 | 2020 |
Erik CambriaProfessor of Computer Science & Engineering, NTU SingaporeEmail verificata su ntu.edu.sg
