[Last updated: 25.06.2024] 2024
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    Modeling Resilience of Collaborative AI Systems.
    CAIN 2024: 24-29.
  •  – M. Usman Saleem, Muhammad Rehan Usman, Muhammad Azfar Yaqub, Antonio Liotta, Atif Asim:
    Smarter Grid in the 5G Era: Integrating the Internet of Things With a Cyber-Physical System.
    IEEE Access 12: 34002-34018 (2024).
  •  – Muhammad Sohail, Ijaz Ali Shoukat, Abd Ullah Khan, Haram Fatima, Mohsin Raza Jafri, Muhammad Azfar Yaqub, Antonio Liotta:
    Deep Learning Based Multi Pose Human Face Matching System.
    IEEE Access 12: 26046-26061 (2024).
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song, Antonio Liotta:
    Hybrid learning strategies for multivariate time series forecasting of network quality metrics.
    Comput. Networks 243: 110286 (2024).
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    Modeling Resilience of Collaborative AI Systems.
    CoRR abs/2401.12632 (2024).
  •  – Mohammad Shirdel, Mario Di Mauro, Antonio Liotta:
    Worthiness Benchmark: A novel concept for analyzing binary classification evaluation metrics.
    Inf. Sci. 678: 120882 (2024).
  •  – Wei Song, Zhihao Shen, Minghua Zhang, Yan Wang, Antonio Liotta:
    A hierarchical probabilistic underwater image enhancement model with reinforcement tuning.
    J. Vis. Commun. Image Represent. 98: 104052 (2024).
  •  – Yan Wang, Shaoqi Yan, Wei Song, Antonio Liotta, Jing Liu, Dingkang Yang, Shuyong Gao, Wenqiang Zhang:
    MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots.
    IEEE Trans. Ind. Informatics 20(5): 7216-7226 (2024).
  •  – Qing Zhao, Yan Wang, Boyang Wang, Junxiong Lin, Shaoqi Yan, Wei Song, Antonio Liotta, Jiawen Yu, Shuyong Gao, Wenqiang Zhang:
    MSC-AD: A Multiscene Unsupervised Anomaly Detection Dataset for Small Defect Detection of Casting Surface.
    IEEE Trans. Ind. Informatics 20(4): 6041-6052 (2024).
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song, Antonio Liotta:
    Multivariate Time Series Characterization and Forecasting of VoIP Traffic in Real Mobile Networks.
    IEEE Trans. Netw. Serv. Manag. 21(1): 851-865 (2024).
2023
  •  – Lucia Cavallaro, Tommaso Serafin, Antonio Liotta:
    Multi-class Classification Performance Improvements Through High Sparsity Strategies.
    COMPLEX NETWORKS (1) 2023: 331-338.
  •  – Rachel Fanti Coelho Limaa, Michele Segata, Muhammad Azfar Yaqub, Antonio Liotta:
    MiniLearn: On-Device Learning for Low-Power IoT Devices.
    EWSN 2023: 333-338.
  •  – Mohammad Shirdel, Mario Di Mauro, Antonio Liotta:
    Relative Information Superiority (RIS): a Novel Evaluation Measure for Binary Rule-Based Classification Models.
    EWSN 2023: 84-89.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.
    PROFES (1) 2023: 183-199.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.
    ICTSS 2023: 266-273.
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song, Antonio Liotta:
    Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks.
    CoRR abs/2307.06645 (2023).
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.
    CoRR abs/2311.04562 (2023).
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.
    CoRR abs/2311.04569 (2023).
  •  – Diaeddin Rimawi:
    Green Resilience of Cyber-Physical Systems.
    CoRR abs/2311.05201 (2023).
  •  – Shubo Xu, Minghua Zhang, Wei Song, Haibin Mei, Qi He, Antonio Liotta:
    A systematic review and analysis of deep learning-based underwater object detection.
    Neurocomputing 527: 204-232 (2023).
  •  – Xiaochen Liu, Wei Song, Qi He, Mario Di Mauro, Antonio Liotta:
    Speeding Up Subjective Video Quality Assessment via Hybrid Active Learning.
    IEEE Trans. Broadcast. 69(1): 165-178 (2023).
  •  – Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Lu Liu, Antonio Liotta, Omer F. Rana:
    Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics.
    IEEE Trans. Sustain. Comput. 8(3): 448-464 (2023).
2022
  •  – Lucia Cavallaro, Pasquale De Meo, Keyvan Golalipour, Xiaoyang Liu, Giacomo Fiumara, Andrea Tagarelli, Antonio Liotta:
    Analysis on the Effects of Graph Perturbations on Centrality Metrics.
    COMPLEX NETWORKS (2) 2022: 433-444.
  •  – Mohammad Shirdel, Michele Segata, Giuseppe Di Fatta, Antonio Liotta:
    Event Detection in Financial Markets.
    DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8.
  •  – Diaeddin Rimawi:
    Green Resilience of Cyber-Physical Systems.
    ISSRE Workshops 2022: 105-109.
  •  – Xiaochen Liu, Wei Song, Wenbo Zhang, Mario Di Mauro, Antonio Liotta:
    Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering.
    MoMM 2022: 47-56.
  •  – Hanan Aljuaid, Nazik Alturki, Najah Alsubaie, Lucia Cavallaro, Antonio Liotta:
    Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning.
    Comput. Methods Programs Biomed. 223: 106951 (2022).
  •  – Marco Uras, Enrico Ferrara, Raimondo Cossu, Antonio Liotta, Luigi Atzori:
    MAC address de-randomization for WiFi device counting: Combining temporal- and content-based fingerprints.
    Comput. Networks 218: 109393 (2022).
  •  – Constantine Ayimba, Michele Segata, Paolo Casari, Vincenzo Mancuso:
    Driving under influence: Robust controller migration for MEC-enabled platooning.
    Comput. Commun. 194: 135-147 (2022).
  •  – Renato Lo Cigno, Michele Segata:
    Cooperative driving: A comprehensive perspective, the role of communications, and its potential development.
    Comput. Commun. 193: 82-93 (2022).
  •  – Raphaël Frank, Michele Segata, Uichin Lee:
    Special Issue on the 16th Wireless On-demand Network systems and Services Conference.
    Comput. Commun. 190: 36 (2022).
  •  – Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang:
    A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances.
    CoRR abs/2203.06935 (2022).
  •  – Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang:
    A systematic review on affective computing: emotion models, databases, and recent advances.
    Inf. Fusion 83-84: 19-52 (2022).
  •  – Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain:
    Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks.
    Pattern Recognit. 121: 108207 (2022).
  •  – Wei Song, Wen Gao, Qi He, Antonio Liotta, Weiqi Guo:
    SI-STSAR-7: A Large SAR Images Dataset with Spatial and Temporal Information for Classification of Winter Sea Ice in Hudson Bay.
    Remote. Sens. 14(1): 168 (2022).
  •  – Wei Song, Hongtao Li, Qi He, Guoping Gao, Antonio Liotta:
    E-MPSPNet: Ice-Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision.
    Remote. Sens. 14(22): 5753 (2022).
  •  – Amir Aieb, Antonio Liotta, Ismahen Kadri, Khodir Madani:
    A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff.
    Sensors 22(9): 3241 (2022).
  •  – Omar Mimeche, Amir Aieb, Antonio Liotta, Khodir Madani:
    A Novel Interannual Rainfall Runoff Equation Derived from Ol’Dekop’s Model Using Artificial Neural Networks.
    Sensors 22(12): 4349 (2022).
  •  – Veronika Lesch, Martin Breitbach, Michele Segata, Christian Becker, Samuel Kounev, Christian Krupitzer:
    An Overview on Approaches for Coordination of Platoons.
    IEEE Trans. Intell. Transp. Syst. 23(8): 10049-10065 (2022).
  •  – Lucia Cavallaro, Stefania Costantini, Pasquale De Meo, Antonio Liotta, Giovanni Stilo:
    Network Connectivity Under a Probabilistic Node Failure Model.
    IEEE Trans. Netw. Sci. Eng. 9(4): 2463-2480 (2022).
2021
  •  – Lucia Cavallaro, Marco Grassia, Giacomo Fiumara, Giuseppe Mangioni, Pasquale De Meo, Vincenza Carchiolo, Ovidiu Bagdasar, Antonio Liotta:
    Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks.
    COMPLEX NETWORKS 2021: 452-460.
  •  – Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
    Correlation Analysis of Node and Edge Centrality Measures in Artificial Complex Networks.
    ICICT (3) 2021: 901-908.
  •  – Laura Erhan, Mario Di Mauro, Ovidiu Bagdasar, Antonio Liotta:
    Critical Comparison of Data Imputation Techniques at IoT Edge.
    IDC 2021: 35-43.
  •  – Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
    A WNN-Based Approach for Network Intrusion Detection.
    IDC 2021: 79-88.
  •  – Wei Song, Shuyuan Dai, Dongmei Huang, Jinling Song, Antonio Liotta:
    Median-Pooling Grad-CAM: An Efficient Inference Level Visual Explanation for CNN Networks in Remote Sensing Image Classification.
    MMM (2) 2021: 134-146.
  •  – Constantine Ayimba, Michele Segata, Paolo Casari, Vincenzo Mancuso:
    Closer than Close: MEC-Assisted Platooning with Intelligent Controller Migration.
    MSWiM 2021: 23-32.
  •  – Michele Segata, Lorenzo Ghiro, Renato Lo Cigno:
    On the Progressive Introduction of Heterogeneous CACC Capabilities.
    VNC 2021: 1-8.
  •  – Michele Segata, Piermaria Arvani, Renato Lo Cigno:
    A Critical Assessment of C-V2X Resource Allocation Scheme for Platooning Applications.
    WONS 2021: 1-8.
  •  – Annamaria Ficara, Lucia Cavallaro, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, Ovidiu Bagdasar, Wei Song, Antonio Liotta:
    Criminal Networks Analysis in Missing Data scenarios through Graph Distances.
    CoRR abs/2103.00457 (2021).
  •  – Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta:
    Graph and Network Theory for the analysis of Criminal Networks.
    CoRR abs/2103.02504 (2021).
  •  – Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
    Correlation analysis of nodes and edges centrality measures in artificial complex networks.
    CoRR abs/2103.05427 (2021).
  •  – Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta:
    Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review.
    CoRR abs/2104.04958 (2021).
  •  – Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain:
    Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks.
    CoRR abs/2106.15329 (2021).
  •  – Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta:
    Supervised feature selection techniques in network intrusion detection: A critical review.
    Eng. Appl. Artif. Intell. 101: 104216 (2021).
  •  – Francesco Cauteruccio, Luca Cinelli, Enrico Corradini, Giorgio Terracina, Domenico Ursino, Luca Virgili, Claudio Savaglio, Antonio Liotta, Giancarlo Fortino:
    A framework for anomaly detection and classification in Multiple IoT scenarios.
    Future Gener. Comput. Syst. 114: 322-335 (2021).
  •  – Veronika Lesch, Christian Krupitzer, Kevin Stubenrauch, Nico Keil, Christian Becker, Samuel Kounev, Michele Segata:
    A comparison of mechanisms for compensating negative impacts of system integration.
    Future Gener. Comput. Syst. 116: 117-131 (2021).
  •  – Laura Erhan, Maryleen U. Ndubuaku, Mario Di Mauro, Wei Song, Min Chen, Giancarlo Fortino, Ovidiu Bagdasar, Antonio Liotta:
    Smart anomaly detection in sensor systems: A multi-perspective review.
    Inf. Fusion 67: 64-79 (2021).
  •  – Laura Erhan, Mario Di Mauro, Ashiq Anjum, Ovidiu Bagdasar, Wei Song, Antonio Liotta:
    Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study.
    Sensors 21(23): 7774 (2021).
  •  – Wei Song, Minghui Li, Wen Gao, Dongmei Huang, Zhenling Ma, Antonio Liotta, Cristian Perra:
    Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features Learning.
    IEEE Trans. Geosci. Remote. Sens. 59(12): 9887-9901 (2021).
  •  – Timo Sturm, Christian Krupitzer, Michele Segata, Christian Becker:
    A Taxonomy of Optimization Factors for Platooning.
    IEEE Trans. Intell. Transp. Syst. 22(10): 6097-6114 (2021).
2020
  •  – Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Antonio Liotta, Stephan Reiff-Marganiec:
    Edge-enhanced analytics via latent space dimensionality reduction.
    BDCAT 2020: 87-95.
  •  – Danfeng Zhao, Zhou Huang, Feng Zhou, Antonio Liotta, Dongmei Huang:
    An Approximation Method for Large Graph Similarity.
    IEEE BigData 2020: 4828-4835.
  •  – Marco Uras, Raimondo Cossu, Enrico Ferrara, Ovidiu Bagdasar, Antonio Liotta, Luigi Atzori:
    WiFi Probes sniffing: an Artificial Intelligence based approach for MAC addresses de-randomization.
    CAMAD 2020: 1-6.
  •  – Lucia Cavallaro, Annamaria Ficara, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, Ovidiu Bagdasar, Antonio Liotta:
    Graph Comparison and Artificial Models for Simulating Real Criminal Networks.
    COMPLEX NETWORKS (2) 2020: 286-297.
  •  – Mattia Milani, Marco Nesler, Michele Segata, Luca Baldesi, Leonardo Maccari, Renato Lo Cigno:
    Improving BGP Convergence with Fed4FIRE+ Experiments.
    INFOCOM Workshops 2020: 816-823.
  •  – Mario Di Mauro, Antonio Liotta, Maurizio Longo, Fabio Postiglione:
    Statistical Characterization of Containerized IP Multimedia Subsystem through Queueing Networks.
    NetSoft 2020: 100-105.
  •  – Michele Segata, Andrea Stedile, Renato Lo Cigno:
    Modeling Slipstreaming Effects in Vehicle Platoons.
    VNC 2020: 1-8.
  •  – Lucia Cavallaro, Annamaria Ficara, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Antonio Liotta:
    Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia.
    CoRR abs/2003.05303 (2020).
  •  – Lucia Cavallaro, Stefania Costantini, Pasquale De Meo, Antonio Liotta, Giovanni Stilo:
    Network connectivity under a probabilistic node failure model.
    CoRR abs/2006.13551 (2020).
  •  – Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
    Experimental Review of Neural-based approaches for Network Intrusion Management.
    CoRR abs/2009.09011 (2020).
  •  – Mario Di Mauro, Antonio Liotta:
    An experimental evaluation and characterization of VoIP over an LTE-A network.
    CoRR abs/2009.12580 (2020).
  •  – Mario Di Mauro, Antonio Liotta:
    Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach.
    CoRR abs/2009.13149 (2020).
  •  – Laura Erhan, Maryleen U. Ndubuaku, Mario Di Mauro, Wei Song, Min Chen, Giancarlo Fortino, Ovidiu Bagdasar, Antonio Liotta:
    Smart Anomaly Detection in Sensor Systems.
    CoRR abs/2010.14946 (2020).
  •  – Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
    Correlations among Game of Thieves and other centrality measures in complex networks.
    CoRR abs/2012.13013 (2020).
  •  – Giancarlo Fortino, Antonio Liotta, Fabrizio Messina, Domenico Rosaci, Giuseppe M. L. Sarné:
    Evaluating group formation in virtual communities.
    IEEE CAA J. Autom. Sinica 7(4): 1003-1015 (2020).
  •  – Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta:
    Artificial neural networks training acceleration through network science strategies.
    Soft Comput. 24(23): 17787-17795 (2020).
  •  – Wei Song, Yan Wang, Dongmei Huang, Antonio Liotta, Cristian Perra:
    Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map.
    IEEE Trans. Broadcast. 66(1): 153-169 (2020).
  •  – Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
    Experimental Review of Neural-Based Approaches for Network Intrusion Management.
    IEEE Trans. Netw. Serv. Manag. 17(4): 2480-2495 (2020).
  •  – Mario Di Mauro, Antonio Liotta:
    An Experimental Evaluation and Characterization of VoIP Over an LTE-A Network.
    IEEE Trans. Netw. Serv. Manag. 17(3): 1626-1639 (2020).
2019
  •  – Roberto Corda, Daniele D. Giusto, Cristian Perra, Antonio Liotta, Wei Song:
    Statistical analysis of computer generated holography for data compression applications.
    BMSB 2019: 1-4.
  •  – Annamaria Ficara, Lucia Cavallaro, Pasquale De Meo, Giacomo Fiumara, Salvatore Catanese, Ovidiu Bagdasar, Antonio Liotta:
    Social Network Analysis of Sicilian Mafia Interconnections.
    COMPLEX NETWORKS (2) 2019: 440-450.
  •  – Cristian Perra, Elisavet Grigoriou, Antonio Liotta, Wei Song, Claudio Usai, Daniele D. Giusto:
    Augmented reality for cultural heritage education.
    ICCE-Berlin 2019: 333-336.
  •  – Anas AlDabbagh, Giuseppe Di Fatta, Antonio Liotta:
    The Distributed p-Median Problem in Computer Networks.
    ICCSA (6) 2019: 541-556.
  •  – Wei Song, Shuyuan Dai, Jian Wang, Dongmei Huang, Antonio Liotta, Giuseppe Di Fatta:
    Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images.
    ICDM Workshops 2019: 473-479.
  •  – Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta:
    Clan-Based Cultural Algorithm for Feature Selection.
    ICDM Workshops 2019: 465-472.
  •  – Raffaele Montella, Angelo Ciaramella, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta:
    Internet and Distributed Computing Systems – 12th International Conference, IDCS 2019, Naples, Italy, October 10-12, 2019, Proceedings.
    Lecture Notes in Computer Science 11874, Springer 2019.
  •  – Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
    Unsupervised Anomaly Thresholding from Reconstruction Errors.
    IDCS 2019: 123-129.
  •  – Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta:
    Artificial Neural Networks Training Acceleration Through Network Science Strategies.
    NUMTA (2) 2019: 330-336.
  •  – Sam O’Neill, Ovidiu Bagdasar, Antonio Liotta:
    An Online Learning Approach to a Multi-player N-armed Functional Bandit.
    NUMTA (2) 2019: 438-445.
  •  – Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
    Cloud-assisted Adaptive Stream Processing from Discriminative Representations.
    SMC 2019: 164-169.
  •  – Laura Erhan, Maryleen U. Ndubuaku, Enrico Ferrara, Miles Richardson, David Sheffield, Fiona J. Ferguson, Paul Brindley, Antonio Liotta:
    Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities.
    IEEE Access 7: 19890-19906 (2019).
  •  – Enrico Ferrara, Luigi Fragale, Giancarlo Fortino, Wei Song, Cristian Perra, Mario Di Mauro, Antonio Liotta:
    An AI Approach to Collecting and Analyzing Human Interactions With Urban Environments.
    IEEE Access 7: 141476-141486 (2019).
  •  – Claudio Savaglio, Pasquale Pace, Gianluca Aloi, Antonio Liotta, Giancarlo Fortino:
    Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.
    IEEE Access 7: 29355-29364 (2019).
  •  – Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta:
    An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging.
    IEEE Access 7: 140233-140251 (2019).
  •  – Wei Song, Yan Wang, Dongmei Huang, Antonio Liotta, Cristian Perra:
    Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map.
    CoRR abs/1906.08673 (2019).
  •  – Yan Wang, Wei Song, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta:
    An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging.
    CoRR abs/1907.03246 (2019).
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Johan J. Lukkien, Antonio Liotta:
    Runtime evaluation of cognitive systems for non-deterministic multiple output classification problems.
    Future Gener. Comput. Syst. 100: 1005-1016 (2019).
  •  – Tim van der Lee, Antonio Liotta, Georgios Exarchakos:
    Interference graphs to monitor and control schedules in low-power WPAN.
    Future Gener. Comput. Syst. 93: 111-120 (2019).
  •  – Francesco Cauteruccio, Giancarlo Fortino, Antonio Guerrieri, Antonio Liotta, Decebal Constantin Mocanu, Cristian Perra, Giorgio Terracina, Maria Torres Vega:
    Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance.
    Inf. Fusion 52: 13-30 (2019).
  •  – Yanling Du, Wei Song, Qi He, Dongmei Huang, Antonio Liotta, Chen Su:
    Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection.
    Inf. Fusion 49: 89-99 (2019).
  •  – Akis Kokkinis, Loizos Kanaris, Antonio Liotta, Stavros Stavrou:
    RSS Indoor Localization Based on a Single Access Point.
    Sensors 19(17): 3711 (2019).
  •  – Pasquale Pace, Gianluca Aloi, Raffaele Gravina, Giuseppe Caliciuri, Giancarlo Fortino, Antonio Liotta:
    An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0.
    IEEE Trans. Ind. Informatics 15(1): 481-489 (2019).
  •  – Mario Di Mauro, Antonio Liotta:
    Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: A Queueing Networks Approach.
    IEEE Trans. Netw. Serv. Manag. 16(4): 1493-1506 (2019).
  •  – Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg:
    On-Line Building Energy Optimization Using Deep Reinforcement Learning.
    IEEE Trans. Smart Grid 10(4): 3698-3708 (2019).
  •  – Pasquale Pace, Giancarlo Fortino, Yin Zhang, Antonio Liotta:
    Intelligence at the Edge of Complex Networks: The Case of Cognitive Transmission Power Control.
    IEEE Wirel. Commun. 26(3): 97-103 (2019).
2018
  •  – Enrico Ferrara, Antonio Liotta, Maryleen U. Ndubuaku, Laura Erhan, Daniele D. Giusto, Miles Richardson, David Sheffield, Kirsten McEwan:
    A Demographic Analysis of Urban Nature Utilization.
    CEEC 2018: 136-141.
  •  – Enrico Ferrara, Antonio Liotta, Laura Erhan, Maryleen U. Ndubuaku, Daniele D. Giusto, Miles Richardson, David Sheffield, Kirsten McEwan:
    A Pilot Study Mapping Citizens’ Interaction with Urban Nature.
    DASC/PiCom/DataCom/CyberSciTech 2018: 836-841.
  •  – Tim van der Lee, Antonio Liotta, Georgios Exarchakos:
    Time-Scheduled Network Evaluation Based on Interference.
    IC2E 2018: 323-332.
  •  – Wei Song, Minghui Li, Qi He, Dongmei Huang, Cristian Perra, Antonio Liotta:
    A Residual Convolution Neural Network for Sea Ice Classification with Sentinel-1 SAR Imagery.
    ICDM Workshops 2018: 795-802.
  •  – Danfeng Zhao, Yeyi Zhang, Junchen Lin, Wei Song, Antonio Liotta, Dongmei Huang:
    Query of Marine Big Data Based on Graph Compression and Views.
    ICDM Workshops 2018: 252-257.
  •  – Michele Chincoli, Stavros Stavrou, Antonio Liotta:
    Density and Transmission Power in Intelligent Wireless Sensor Networks.
    IWCMC 2018: 1518-1523.
  •  – Cristian Perra, Wei Song, Antonio Liotta:
    Effects of light field subsampling on the quality of experience in refocusing applications.
    QoMEX 2018: 1-3.
  •  – Dongmei Huang, Qian Zhang, Jian Wang, Antonio Liotta, Wei Song, Jiangang Zhu:
    Marine Information System Based on Ocean Data Ontology Construction.
    SMC 2018: 2595-2601.
  •  – Maria Torres Vega, Antonio Liotta:
    Cognitive Real-Time QoE Management in Video Streaming Services.
    ITC (1) 2018: 123-128.
  •  – Antonio Liotta, Fabrizio Messina, Domenico Rosaci, Giuseppe M. L. Sarné:
    Effective Group Formation in Agent Societies.
    WOA 2018: 39-44.
  •  – Michele Chincoli, Antonio Liotta:
    Self-Learning Power Control in Wireless Sensor Networks.
    Sensors 18(2): 375 (2018).
  •  – Maria Torres Vega, Cristian Perra, Antonio Liotta:
    Resilience of Video Streaming Services to Network Impairments.
    IEEE Trans. Broadcast. 64(2): 220-234 (2018).
  •  – Maria Torres Vega, Cristian Perra, Filip De Turck, Antonio Liotta:
    A Review of Predictive Quality of Experience Management in Video Streaming Services.
    IEEE Trans. Broadcast. 64(2): 432-445 (2018).
  •  – Maria Torres Vega, Antonius M. J. Koonen, Antonio Liotta, Jeroen Famaey:
    Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks.
    IEEE Wirel. Commun. Lett. 7(2): 278-281 (2018).
2017
  •  – Maria Torres Vega, Cristian Perra, Decebal Constantin Mocanu, Antonio Liotta:
    Effect of lossy networks on stereoscopic 3D-video streams.
    BMSB 2017: 1-4.
  •  – Michele Chincoli, Antonio Liotta:
    In-node cognitive power control in Wireless Sensor Networks.
    ICC Workshops 2017: 1099-1104.
  •  – Giancarlo Fortino, MengChu Zhou, Zofia Lukszo, Athanasios V. Vasilakos, Francesco Basile, Carlos Enrique Palau, Antonio Liotta, Maria Pia Fanti, Antonio Guerrieri, Andrea Vinci:
    14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16-18, 2017.
    IEEE 2017.
  •  – Michele Chincoli, Pascal den Boef, Antonio Liotta:
    Cognitive channel selection for Wireless Sensor communications.
    ICNSC 2017: 795-800.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Johan J. Lukkien, Antonio Liotta:
    Evaluating machine learning algorithms for applications with humans in the loop.
    ICNSC 2017: 459-464.
  •  – Dongmei Huang, Yanling Du, Qi He, Wei Song, Antonio Liotta:
    DeepEddy: A simple deep architecture for mesoscale oceanic eddy detection in SAR images.
    ICNSC 2017: 673-678.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Stavros Stavrou:
    Combining smart lighting and radio fingerprinting for improved indoor localization.
    ICNSC 2017: 447-452.
  •  – Roshan Kotian, Georgios Exarchakos, Antonio Liotta:
    Reliable low-power wireless networks over unstable transmission power.
    ICNSC 2017: 801-806.
  •  – Tim van der Lee, Antonio Liotta, Georgios Exarchakos:
    TSCH schedules assessment.
    ICNSC 2017: 696-701.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Stavros Stavrou:
    Quality of fingerprint radiomaps for positioning systems.
    ICT 2017: 1-5.
  •  – Tim van der Lee, Georgios Exarchakos, Antonio Liotta:
    Distributed TSCH scheduling: A comparative analysis.
    SMC 2017: 3517-3522.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Johan J. Lukkien, Antonio Liotta:
    Relevance in cyber-physical systems with humans in the loop.
    Concurr. Comput. Pract. Exp. 29(3) (2017).
  •  – Elena Mocanu, Decebal Constantin Mocanu, Phuong H. Nguyen, Antonio Liotta, Michael E. Webber, Madeleine Gibescu, Johannes G. Slootweg:
    On-line Building Energy Optimization using Deep Reinforcement Learning.
    CoRR abs/1707.05878 (2017).
  •  – Decebal Constantin Mocanu, Elena Mocanu, Peter Stone, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective.
    CoRR abs/1707.04780 (2017).
  •  – Roshan Kotian, Georgios Exarchakos, Stavros Stavrou, Antonio Liotta:
    Impact of Transmission Power Control in multi-hop networks.
    Future Gener. Comput. Syst. 75: 94-107 (2017).
  •  – Hedde H. W. J. Bosman, Giovanni Iacca, Arturo Tejada, Heinrich J. Wörtche, Antonio Liotta:
    Spatial anomaly detection in sensor networks using neighborhood information.
    Inf. Fusion 33: 41-56 (2017).
  •  – Georgios Exarchakos, Ilker Oztelcan, Dimitris Sarakiotis, Antonio Liotta:
    plexi: Adaptive re-scheduling web-service of time synchronized low-power wireless networks.
    J. Netw. Comput. Appl. 81: 62-73 (2017).
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta:
    Unsupervised deep learning for real-time assessment of video streaming services.
    Multim. Tools Appl. 76(21): 22303-22327 (2017).
  •  – Decebal Constantin Mocanu, Haitham Bou-Ammar, Luis Puig, Eric Eaton, Antonio Liotta:
    Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.
    Pattern Recognit. 69: 325-335 (2017).
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Stavros Stavrou:
    Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization.
    Sensors 17(4): 812 (2017).
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Stavros Stavrou, Antonio Liotta:
    Predictive no-reference assessment of video quality.
    Signal Process. Image Commun. 52: 20-32 (2017).
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Jeroen Famaey, Stavros Stavrou, Antonio Liotta:
    Deep Learning for Quality Assessment in Live Video Streaming.
    IEEE Signal Process. Lett. 24(6): 736-740 (2017).
2016
  •  – Michele Chincoli, Aly Aamer Syed, Decebal Constantin Mocanu, Antonio Liotta:
    Predictive Power Control in Wireless Sensor Networks.
    IoTDI 2016: 309-312.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta:
    A Regression Method for real-time video quality evaluation.
    MoMM 2016: 217-224.
  •  – Maria Torres Vega, Jeroen Famaey, Antonius M. J. Koonen, Antonio Liotta:
    Resource allocation in optical beam-steered indoor networks.
    NOMS 2016: 418-426.
  •  – Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    Big IoT data mining for real-time energy disaggregation in buildings.
    SMC 2016: 3765-3769.
  •  – Loizos Kanaris, Akis Kokkinis, Giancarlo Fortino, Antonio Liotta, Stavros Stavrou:
    Sample Size Determination Algorithm for fingerprint-based indoor localization systems.
    Comput. Networks 101: 169-177 (2016).
  •  – Decebal Constantin Mocanu, Haitham Bou-Ammar, Luis Puig, Eric Eaton, Antonio Liotta:
    Estimating 3D Trajectories from 2D Projections via Disjunctive Factored Four-Way Conditional Restricted Boltzmann Machines.
    CoRR abs/1604.05865 (2016).
  •  – Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    A topological insight into restricted Boltzmann machines.
    CoRR abs/1604.05978 (2016).
  •  – Decebal Constantin Mocanu, Maria Torres Vega, Eric Eaton, Peter Stone, Antonio Liotta:
    Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data.
    CoRR abs/1610.05555 (2016).
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta:
    Predictive No-Reference Assessment of Video Quality.
    CoRR abs/1604.07322 (2016).
  •  – Maria Torres Vega, Vittorio Sguazzo, Decebal Constantin Mocanu, Antonio Liotta:
    An experimental survey of no-reference video quality assessment methods.
    Int. J. Pervasive Comput. Commun. 12(1): 66-86 (2016).
  •  – Michele Chincoli, Aly Aamer Syed, Georgios Exarchakos, Antonio Liotta:
    Power Control in Wireless Sensor Networks with Variable Interference.
    Mob. Inf. Syst. 2016: 3592581:1-3592581:10 (2016).
  •  – Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    A topological insight into restricted Boltzmann machines.
    Mach. Learn. 104(2-3): 243-270 (2016).
  •  – Stefano Galzarano, Roberta Giannantonio, Antonio Liotta, Giancarlo Fortino:
    A Task-Oriented Framework for Networked Wearable Computing.
    IEEE Trans Autom. Sci. Eng. 13(2): 621-638 (2016).
2015
  •  – Decebal Constantin Mocanu, Maria Torres Vega, Antonio Liotta:
    Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics.
    ICDM Workshops 2015: 501-507.
  •  – Roshan Kotian, Georgios Exarchakos, Antonio Liotta:
    Data Driven Transmission Power Control for Wireless Sensor Networks.
    IDCS 2015: 75-87.
  •  – Decebal Constantin Mocanu, Georgios Exarchakos, Haitham Bou-Ammar, Antonio Liotta:
    Reduced reference image quality assessment via Boltzmann Machines.
    IM 2015: 1278-1281.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Rosario Barresi, Giancarlo Fortino, Antonio Liotta:
    Cognitive streaming on android devices.
    IM 2015: 1316-1321.
  •  – Wei Song, Yao Xiao, Dian Tjondronegoro, Antonio Liotta:
    QoE Modelling for VP9 and H.265 Videos on Mobile Devices.
    ACM Multimedia 2015: 501-510.
  •  – Maria Torres Vega, Vittorio Sguazzo, Decebal Constantin Mocanu, Antonio Liotta:
    Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams.
    MoMM 2015: 326-333.
  •  – Maria Torres Vega, Emanuele Giordano, Decebal Constantin Mocanu, Dian Tjondronegoro, Antonio Liotta:
    Cognitive no-reference video quality assessment for mobile streaming services.
    QoMEX 2015: 1-6.
  •  – Michele Chincoli, Claudio Bacchiani, Aly Aamer Syed, Georgios Exarchakos, Antonio Liotta:
    Interference Mitigation through Adaptive Power Control in Wireless Sensor Networks.
    SMC 2015: 1303-1308.
  •  – Hedde H. W. J. Bosman, Giovanni Iacca, Arturo Tejada, Heinrich J. Wörtche, Antonio Liotta:
    Ensembles of incremental learners to detect anomalies in ad hoc sensor networks.
    Ad Hoc Networks 35: 14-36 (2015).
  •  – Giancarlo Fortino, Raffaele Gravina, Wenfeng Li, Mohammad Mehedi Hassan, Antonio Liotta:
    Enhancing Internet and Distributed Computing Systems with Wireless Sensor Networks.
    Int. J. Distributed Sens. Networks 11: 564695:1-564695:2 (2015).
  •  – George Exarchakos, Luca Druda, Vlado Menkovski, Antonio Liotta:
    Network analysis on Skype end-to-end video quality.
    Int. J. Pervasive Comput. Commun. 11(1): 17-42 (2015).
  •  – Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss, Karl Tuyls:
    Factored four way conditional restricted Boltzmann machines for activity recognition.
    Pattern Recognit. Lett. 66: 100-108 (2015).
2014
  •  – Roshan Kotian, Georgios Exarchakos, Antonio Liotta:
    Assessment of Proactive Transmission Power Control for Wireless Sensor Networks.
    BODYNETS 2014.
  •  – Decebal Constantin Mocanu, Giuliano Santandrea, Walter Cerroni, Franco Callegati, Antonio Liotta:
    Network performance assessment with Quality of experience benchmarks.
    CNSM 2014: 332-335.
  •  – Maria Torres Vega, Shihuan Zou, Decebal Constantin Mocanu, Eduward Tangdiongga, Antonius M. J. Koonen, Antonio Liotta:
    End-to-end performance evaluation in high-speed wireless networks.
    CNSM 2014: 344-347.
  •  – Hedde H. W. J. Bosman, Giovanni Iacca, Heinrich J. Wörtche, Antonio Liotta:
    Online Fusion of Incremental Learning for Wireless Sensor Networks.
    ICDM Workshops 2014: 525-532.
  •  – Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta:
    Deep learning for objective quality assessment of 3D images.
    ICIP 2014: 758-762.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Statistical Inference for Intelligent Lighting: A Pilot Study.
    IDC 2014: 9-18.
  •  – Stefano Galzarano, Giancarlo Fortino, Antonio Liotta:
    A Learning-Based MAC for Energy Efficient Wireless Sensor Networks.
    IDCS 2014: 396-406.
  •  – Decebal Constantin Mocanu, Antonio Liotta, Arianna Ricci, Maria Torres Vega, Georgios Exarchakos:
    When does lower bitrate give higher quality in modern video services?.
    NOMS 2014: 1-5.
  •  – Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta:
    Node centrality awareness via swarming effects.
    SMC 2014: 19-24.
  •  – Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov:
    Inexpensive user tracking using Boltzmann Machines.
    SMC 2014: 1-6.
  •  – Steven Latré, Antonio Liotta, Filip De Turck:
    A Report on the First IFIP/IEEE Workshop on Quality of Experience Centric Management (QCMan 2013).
    J. Netw. Syst. Manag. 22(2): 280-288 (2014).
  •  – Antonio Liotta, Giuseppe Di Fatta:
    Data Mining for Monitoring and Managing Systems and Networks.
    J. Netw. Syst. Manag. 22(2): 147-149 (2014).
2013
  •  – Stefano Galzarano, Antonio Liotta, Giancarlo Fortino:
    QL-MAC: A Q-Learning Based MAC for Wireless Sensor Networks.
    ICA3PP (2) 2013: 267-275.
  •  – Roshan Kotian, Georgios Exarchakos, Decebal Constantin Mocanu, Antonio Liotta:
    Predicting Battery Depletion of Neighboring Wireless Sensor Nodes.
    ICA3PP (2) 2013: 276-284.
  •  – Vlado Menkovski, Antonio Liotta:
    Intelligent control for adaptive video streaming.
    ICCE 2013: 127-128.
  •  – Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
    Online Extreme Learning on Fixed-Point Sensor Networks.
    ICDM Workshops 2013: 319-326.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Relevance Prevails: Missing Data Treatment in Intelligent Lighting.
    ICMMI 2013: 369-376.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Marios Raspopoulos, Stavros Stavrou:
    A binomial distribution approach for the evaluation of indoor positioning systems.
    ICT 2013: 1-4.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Relevance as a Metric for Evaluating Machine Learning Algorithms.
    MLDM 2013: 195-208.
  •  – Antonio Liotta, Decebal Constantin Mocanu, Vlado Menkovski, Luciana Cagnetta, Georgios Exarchakos:
    Instantaneous Video Quality Assessment for lightweight devices.
    MoMM 2013: 525.
  •  – Akis Kokkinis, Marios Raspopoulos, Loizos Kanaris, Antonio Liotta, Stavros Stavrou:
    Map-aided fingerprint-based indoor positioning.
    PIMRC 2013: 270-274.
  •  – Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
    Anomaly Detection in Sensor Systems Using Lightweight Machine Learning.
    SMC 2013: 7-13.
  •  – Stefano Galzarano, Claudio Savaglio, Antonio Liotta, Giancarlo Fortino:
    Gossiping-Based AODV for Wireless Sensor Networks.
    SMC 2013: 26-31.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Relevance As a Metric for Evaluating Machine Learning Algorithms.
    CoRR abs/1303.7093 (2013).
  •  – George Exarchakos, Luca Druda, Vlado Menkovski, Paolo Bellavista, Antonio Liotta:
    Skype Resilience to High Motion Videos.
    Int. J. Wavelets Multiresolution Inf. Process. 11(3) (2013).
2012
  •  – Giancarlo Fortino, Stefano Galzarano, Antonio Liotta:
    An autonomic plane for Wireless Body Sensor Networks.
    ICNC 2012: 94-98.
  •  – Daniël Geelen, Gert van Kempen, Frans van Hoogstraten, Antonio Liotta:
    A wireless mesh communication protocol for smart-metering.
    ICNC 2012: 343-349.
  •  – Jewel Okyere-Benya, Mamoon Aldiabat, Vlado Menkovski, George Exarchakos, Antonio Liotta:
    Video quality degradation on IPTV networks.
    ICNC 2012: 702-707.
  •  – Antonio Liotta:
    The human side of video streaming services.
    iiWAS 2012: 5.
  •  – Aravind Kota Gopalakrishna, Tanir Özçelebi, Antonio Liotta, Johan J. Lukkien:
    Exploiting machine learning for intelligent room lighting applications.
    IEEE Conf. of Intelligent Systems 2012: 406-411.
  •  – Antonio Liotta, Luca Druda, Vlado Menkovski, Georgios Exarchakos:
    Quality of experience management for video streams: the case of Skype.
    MoMM 2012: 84-92.
  •  – Antonio Liotta:
    Farewell to deterministic networks.
    SCVT 2012: 1-4.
  •  – Stefano Galzarano, Giancarlo Fortino, Antonio Liotta:
    Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks.
    SMC 2012: 2377-2382.
  •  – Aravind Kota Gopalakrishna, Tanir Özçelebi, Antonio Liotta, Johan J. Lukkien:
    Treatment of Missing Data in Intelligent Lighting Applications.
    UIC/ATC 2012: 1-8.
  •  – Antonio Liotta, Daniël Geelen, Gert van Kempen, Frans van Hoogstraten:
    A survey on networks for smart-metering systems.
    Int. J. Pervasive Comput. Commun. 8(1): 23-52 (2012).
  •  – Vlado Menkovski, Antonio Liotta:
    Adaptive psychometric scaling for video quality assessment.
    Signal Process. Image Commun. 27(8): 788-799 (2012).
  •  – Florence Agboma, Antonio Liotta:
    Quality of experience management in mobile content delivery systems.
    Telecommun. Syst. 49(1): 85-98 (2012).
2011
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
    Tackling the Sheer Scale of Subjective QoE.
    MobiMedia 2011: 1-15.
  •  – Georgios Exarchakos, Vlado Menkovski, Antonio Liotta:
    Can Skype be used beyond video calling?.
    MoMM 2011: 155-161.
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
    The Value of Relative Quality in Video Delivery.
    J. Mobile Multimedia 7(3): 151-162 (2011).
  •  – Antonio Liotta, George Exarchakos:
    Networks for Pervasive Services – Six Ways to Upgrade the Internet.
    Lecture Notes in Electrical Engineering, Springer 2011.
2010
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
    Machine Learning Approach for Quality of Experience Aware Networks.
    INCoS 2010: 461-466.
  •  – Majed Alhaisoni, Antonio Liotta, Mohammed Ghanbari:
    Resource-awareness and trade-off optimisation in P2P video streaming.
    Int. J. Adv. Media Commun. 4(1): 59-77 (2010).
  •  – Majed Alhaisoni, Mohammed Ghanbari, Antonio Liotta:
    Scalable P2P Video Streaming.
    Int. J. Bus. Data Commun. Netw. 6(3): 49-65 (2010).
  •  – Majed Alhaisoni, Mohammed Ghanbari, Antonio Liotta:
    Localized Multistreams for P2P Streaming.
    Int. J. Digit. Multim. Broadcast. 2010: 843574:1-843574:12 (2010).
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta, Antonio Cuadra Sánchez:
    Quality of Experience Models for Multimedia Streaming.
    Int. J. Mob. Comput. Multim. Commun. 2(4): 1-20 (2010).
  •  – Florence Agboma, Antonio Liotta:
    QoE in Pervasive Telecommunication Systems.
    Pervasive Computing, Innovations in Intelligent Multimedia and Applications 2010: 365-382.
  •  – Nadia N. Qadri, Antonio Liotta:
    Analysis of Pervasive Mobile Ad Hoc Routing Protocols.
    Pervasive Computing, Innovations in Intelligent Multimedia and Applications 2010: 433-453.

Useful Links

Contact

INets @ Free University of Bozen-Bolzano
Faculty of Engineering, Piazza Domenicani 3, 39100 Bozen-Bolzano, Italy
antonio.liotta@unibz.it