Search Results - "Liotta, Antonio"

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science by Mocanu, Decebal Constantin, Mocanu, Elena, Stone, Peter, Nguyen, Phuong H., Gibescu, Madeleine, Liotta, Antonio

“…Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking…”
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On-Line Building Energy Optimization Using Deep Reinforcement Learning by Mocanu, Elena, Mocanu, Decebal Constantin, Nguyen, Phuong H., Liotta, Antonio, Webber, Michael E., Gibescu, Madeleine, Slootweg, J. G.

“…Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and…”
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Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization by Kanaris, Loizos, Kokkinis, Akis, Liotta, Antonio, Stavrou, Stavros

“…Indoor user localization and tracking are instrumental to a broad range of services and applications in the Internet of Things (IoT) and particularly in Body…”
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On the sensitivity of centrality metrics by Cavallaro, Lucia, De Meo, Pasquale, Fiumara, Giacomo, Liotta, Antonio

“…Despite the huge importance that the centrality metrics have in understanding the topology of a network, too little is known about the effects that small…”
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Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia by Cavallaro, Lucia, Ficara, Annamaria, De Meo, Pasquale, Fiumara, Giacomo, Catanese, Salvatore, Bagdasar, Ovidiu, Song, Wei, Liotta, Antonio

“…Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to disruption, which poses…”
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Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: A Queueing Networks Approach by Di Mauro, Mario, Liotta, Antonio

“…The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and…”
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An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging by Wang, Yan, Song, Wei, Fortino, Giancarlo, Qi, Li-Zhe, Zhang, Wenqiang, Liotta, Antonio

“…Underwater images play a key role in ocean exploration but often suffer from severe quality degradation due to light absorption and scattering in water medium…”
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A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff by Aieb, Amir, Liotta, Antonio, Kadri, Ismahen, Madani, Khodir

“…Watershed climatic diversity poses a hard problem when it comes to finding suitable models to estimate inter-annual rainfall runoff (IARR). In this work, a…”
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Spatial anomaly detection in sensor networks using neighborhood information by Bosman, Hedde HWJ, Iacca, Giovanni, Tejada, Arturo, Wörtche, Heinrich J., Liotta, Antonio

“…•A method of neighborhood data fusion in decentralized anomaly detection is proposed.•The effects of neighborhood size and spatio-temporal correlation are…”
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A Novel Interannual Rainfall Runoff Equation Derived from Ol’Dekop’s Model Using Artificial Neural Networks by Mimeche, Omar, Aieb, Amir, Liotta, Antonio, Madani, Khodir

“…In water resources management, modeling water balance factors is necessary to control dams, agriculture, irrigation, and also to provide water supply for…”
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Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks by Savaglio, Claudio, Pace, Pasquale, Aloi, Gianluca, Liotta, Antonio, Fortino, Giancarlo

“…High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to…”
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RSS Indoor Localization Based on a Single Access Point by Kokkinis, Akis, Kanaris, Loizos, Liotta, Antonio, Stavrou, Stavros

“…This research work investigates how RSS information fusion from a single, multi-antenna access point (AP) can be used to perform device localization in indoor…”
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Decentralized dynamic understanding of hidden relations in complex networks by Mocanu, Decebal Constantin, Exarchakos, Georgios, Liotta, Antonio

“…Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number…”
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Criminal networks analysis in missing data scenarios through graph distances by Ficara, Annamaria, Cavallaro, Lucia, Curreri, Francesco, Fiumara, Giacomo, De Meo, Pasquale, Bagdasar, Ovidiu, Song, Wei, Liotta, Antonio

“…Data collected in criminal investigations may suffer from issues like: (i) incompleteness, due to the covert nature of criminal organizations; (ii)…”
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SI-STSAR-7: A Large SAR Images Dataset with Spatial and Temporal Information for Classification of Winter Sea Ice in Hudson Bay by Song, Wei, Gao, Wen, He, Qi, Liotta, Antonio, Guo, Weiqi

“…Remote sensing satellites have been broadly applied to sea ice monitoring. The substantial increase in satellite imagery provides a large amount of data…”
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E-MPSPNet: Ice–Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision by Song, Wei, Li, Hongtao, He, Qi, Gao, Guoping, Liotta, Antonio

“…Distinguishing sea ice and water is crucial for safe navigation and carrying out offshore activities in ice zones. However, due to the complexity and dynamics…”
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Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study by Erhan, Laura, Di Mauro, Mario, Anjum, Ashiq, Bagdasar, Ovidiu, Song, Wei, Liotta, Antonio

“…Recent developments in cloud computing and the Internet of Things have enabled smart environments, in terms of both monitoring and actuation. Unfortunately,…”
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Improved Particle Swarm Optimization for Sea Surface Temperature Prediction by He, Qi, Zha, Cheng, Song, Wei, Hao, Zengzhou, Du, Yanling, Liotta, Antonio, Perra, Cristian

“…The Sea Surface Temperature (SST) is one of the key factors affecting ocean climate change. Hence, Sea Surface Temperature Prediction (SSTP) is of great…”
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Downscaling Fusion Model for CMIP5 Rainfall Projection under RCP Scenarios: The Case of Trentino-Alto Adige by Amir Aieb, Antonio Liotta, Ismahen Kadri

“…Climate parameter projections obtained by global and regional models (GCM and RCM, respectively) offer a challenge to many researchers in terms of controlling…”
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Factored four way conditional restricted Boltzmann machines for activity recognition by Mocanu, Decebal Constantin, Bou Ammar, Haitham, Lowet, Dietwig, Driessens, Kurt, Liotta, Antonio, Weiss, Gerhard, Tuyls, Karl

“…•This paper proposes a new learning algorithm for human activity recognition.•Its name is factored four way conditional restricted Boltzmann machine…”
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