| Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta Nature Communications 9 (1), 2383, 2018 | 689 | 2018 |
| On-line building energy optimization using deep reinforcement learning E Mocanu, DC Mocanu, PH Nguyen, A Liotta, ME Webber, M Gibescu, ... IEEE transactions on smart grid 10 (4), 3698-3708, 2018 | 617 | 2018 |
| An edge-based architecture to support efficient applications for healthcare industry 4.0 P Pace, G Aloi, R Gravina, G Caliciuri, G Fortino, A Liotta IEEE Transactions on Industrial Informatics 15 (1), 481-489, 2018 | 431 | 2018 |
| A systematic review on affective computing: Emotion models, databases, and recent advances Y Wang, W Song, W Tao, A Liotta, D Yang, X Li, S Gao, Y Sun, W Ge, ... Information Fusion 83, 19-52, 2022 | 322 | 2022 |
| Smart anomaly detection in sensor systems: A multi-perspective review L Erhan, M Ndubuaku, M Di Mauro, W Song, M Chen, G Fortino, ... Information Fusion 67, 64-79, 2021 | 252 | 2021 |
| An experimental-based review of image enhancement and image restoration methods for underwater imaging Y Wang, W Song, G Fortino, LZ Qi, W Zhang, A Liotta IEEE access 7, 140233-140251, 2019 | 239 | 2019 |
| Enhancement of underwater images with statistical model of background light and optimization of transmission map W Song, Y Wang, D Huang, A Liotta, C Perra IEEE Transactions on Broadcasting 66 (1), 153-169, 2020 | 237 | 2020 |
| Towards multi-layer interoperability of heterogeneous IoT platforms: The INTER-IoT approach G Fortino, C Savaglio, CE Palau, JS De Puga, M Ganzha, M Paprzycki, ... Integration, interconnection, and interoperability of IoT systems, 199-232, 2018 | 174 | 2018 |
| Spatial anomaly detection in sensor networks using neighborhood information HHWJ Bosman, G Iacca, A Tejada, HJ Wörtche, A Liotta Information Fusion 33, 41-56, 2017 | 165 | 2017 |
| QoE-aware QoS management F Agboma, A Liotta Proceedings of the 6th international conference on advances in mobile …, 2008 | 150 | 2008 |
| On management technologies and the potential of web services G Pavlou, P Flegkas, S Gouveris, A Liotta IEEE Communications Magazine 42 (7), 58-66, 2004 | 150 | 2004 |
| Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning H Aljuaid, N Alturki, N Alsubaie, L Cavallaro, A Liotta Computer Methods and Programs in Biomedicine 223, 106951, 2022 | 145 | 2022 |
| Supervised feature selection techniques in network intrusion detection: A critical review M Di Mauro, G Galatro, G Fortino, A Liotta Engineering Applications of Artificial Intelligence 101, 104216, 2021 | 142 | 2021 |
| Lightweight reinforcement learning for energy efficient communications in wireless sensor networks C Savaglio, P Pace, G Aloi, A Liotta, G Fortino IEEE Access 7, 29355-29364, 2019 | 137 | 2019 |
| An adaptive multi-constraint partitioning algorithm for offloading in pervasive systems S Ou, K Yang, A Liotta Fourth Annual IEEE International Conference on Pervasive Computing and …, 2006 | 126 | 2006 |
| Predicting quality of experience in multimedia streaming V Menkovski, A Oredope, A Liotta, AC Sánchez Proceedings of the 7th International Conference on Advances in Mobile …, 2009 | 122 | 2009 |
| A topological insight into restricted Boltzmann machines DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta Machine Learning 104 (2), 243–270, 2016 | 114 | 2016 |
| Exploiting agent mobility for large-scale network monitoring A Liotta, G Pavlou, G Knight IEEE network 16 (3), 7-15, 2002 | 113 | 2002 |
| A framework for anomaly detection and classification in Multiple IoT scenarios F Cauteruccio, L Cinelli, E Corradini, G Terracina, D Ursino, L Virgili, ... Future Generation Computer Systems 114, 322-335, 2021 | 111 | 2021 |
| Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance F Cauteruccio, G Fortino, A Guerrieri, A Liotta, DC Mocanu, C Perra, ... Information Fusion 52, 13-30, 2019 | 108 | 2019 |
Decebal Constantin MocanuAssociate Professor in Machine Learning, University of Luxembourg, TU EindhovenVerified email at uni.lu
