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Antonio Liotta
Antonio Liotta
Professor at Faculty of Engineering, University of Bozen-Bolzano, Italy
Verified email at unibz.it - Homepage
Title
Cited by
Cited by
Year
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
6472018
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
5942018
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
4122018
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
2722022
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
2262019
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
2192020
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
2142021
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
1692018
Spatial anomaly detection in sensor networks using neighborhood information
HHWJ Bosman, G Iacca, A Tejada, HJ W÷rtche, A Liotta
Information Fusion 33, 41-56, 2017
1602017
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
QoE-aware QoS management
F Agboma, A Liotta
Proceedings of the 6th international conference on advances in mobileá…, 2008
1492008
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
1322022
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
1312019
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
1302021
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 andá…, 2006
1252006
Predicting quality of experience in multimedia streaming
V Menkovski, A Oredope, A Liotta, AC Sßnchez
Proceedings of the 7th International Conference on Advances in Mobileá…, 2009
1222009
Exploiting agent mobility for large-scale network monitoring
A Liotta, G Pavlou, G Knight
IEEE network 16 (3), 7-15, 2002
1132002
A topological insight into restricted Boltzmann machines
DC Mocanu, E Mocanu, PH Nguyen, M Gibescu, A Liotta
Machine Learning 104 (2), 243–270, 2016
1122016
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
1032021
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
1032019
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