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Antonio Liotta
Antonio Liotta
Professor at Faculty of Engineering, University of Bozen-Bolzano, Italy
Zweryfikowany adres z unibz.it - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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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
7612018
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
6572018
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
4552018
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
4082022
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
2882021
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
2792020
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
2612019
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
1852018
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
1822022
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
1742021
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
1722017
QoE-aware QoS management
F Agboma, A Liotta
Proceedings of the 6th international conference on advances in mobile …, 2008
1512008
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
1502004
A systematic review and analysis of deep learning-based underwater object detection
S Xu, M Zhang, W Song, H Mei, Q He, A Liotta
Neurocomputing 527, 204-232, 2023
1462023
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
1462019
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
1282006
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
1222021
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
1222009
A topological insight into restricted Boltzmann machines
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
Machine Learning 104 (2), 243–270, 2016
1192016
Exploiting agent mobility for large-scale network monitoring
A Liotta, G Pavlou, G Knight
IEEE network 16 (3), 7-15, 2002
1132002
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