[Last updated: 12.02.2026] 2026
  •  – Hanan Aljuaid, Hanan Adlan, Budoor Alkebsi, Badria Sulaiman Alfurhood, Antonio Liotta, Lucia Cavallaro:
    An experimental comparison of deep learning models for pneumonia classification from chest X-ray images.
    Biomed. Signal Process. Control. 2026.
2025
  •  – Laura Meneghetti, Bianchi Edoardo, Nicola Demo, Gianluigi Rozza:
    KD-AHOSVD: Neural Network Compression via Knowledge Distillation and Tensor Decomposition.
    DASIP 2025.
  •  – Sergei Katkov, Mohammad Shirdel, Antonio Liotta, Alessandro Vietti, Egle Sciuto, Maura D’Amico, Mariella Raciti, Vincenzo Saita:
    Features in Pathological Voice Distortions.
    ICHMS 2025.
  •  – Davide Domini, Laura Erhan, Gianluca Aguzzi, Lucia Cavallaro, Amirhossein Douzandeh Zenoozi, Antonio Liotta, Mirko Viroli:
    Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0.
    IJCNN 2025.
  •  – Bianchi Edoardo, Oswald Lanz:
    Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information.
    WACV (Workshops) 2025.
  •  – Muhammad Rashid Minhas, Qaisar M. Shafi, Shoab Ahmed Khan, Tahir Ahmad, Subhan Ullah, Attaullah Buriro, Muhammad Azfar Yaqub:
    F-OSFA: A Fog Level Generalizable Solution for Zero-Day DDOS Attacks Detection.
    IEEE Access 2025.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    GResilience: Decision-Making Policies for Trading Off Greenness and Resilience in Online Collaborative AI Systems.
    IEEE Access 2025.
  •  – Bianchi Edoardo, Oswald Lanz:
    Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information.
    CoRR 2025.
  •  – Bianchi Edoardo:
    Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations.
    CoRR 2025.
  •  – Bianchi Edoardo, Antonio Liotta:
    SkillFormer: Unified Multi-View Video Understanding for Proficiency Estimation.
    CoRR 2025.
  •  – Bianchi Edoardo, Antonio Liotta:
    PATS: Proficiency-Aware Temporal Sampling for Multi-View Sports Skill Assessment.
    CoRR 2025.
  •  – Davide Domini, Laura Erhan, Gianluca Aguzzi, Lucia Cavallaro, Amirhossein Douzandeh Zenoozi, Antonio Liotta, Mirko Viroli:
    Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0.
    CoRR 2025.
  •  – Bianchi Edoardo:
    Exploration on Demand: From Algorithmic Control to User Empowerment.
    CoRR 2025.
  •  – Refat Tahseen Othman, Diaeddin Rimawi, Bruno Rossi 0001, Barbara Russo:
    From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach.
    CoRR 2025.
  •  – Bianchi Edoardo, Jacopo Staiano, Antonio Liotta:
    ProfVLM: A Lightweight Video-Language Model for Multi-View Proficiency Estimation.
    CoRR 2025.
  •  – Diaeddin Rimawi:
    Green Resilience of Cyber-Physical Systems: Doctoral Dissertation.
    CoRR 2025.
  •  – Amirhossein Douzandeh Zenoozi, Laura Erhan, Antonio Liotta, Lucia Cavallaro:
    A comparative study of neural network pruning strategies for industrial applications.
    Frontiers Comput. Sci. 2025.
  •  – Yuxuan Lin 0001, Yang Chang, Xuan Tong, Jiawen Yu, Antonio Liotta, Guofan Huang, Wei Song 0007, Deyu Zeng, Zongze Wu 0001, Yan Wang 0068, Wenqiang Zhang:
    A survey on RGB, 3D, and multimodal approaches for unsupervised industrial image anomaly detection.
    Inf. Fusion 2025.
  •  – Abdul Baseer Buriro, Attaullah Buriro, Muhammad Ali Jamshed, Wali Ullah Khan, Muhammad Azfar Yaqub:
    Securing Military IoT: Context-Aware Biometrics at the Edge.
    IEEE Internet Things Mag. 2025.
  •  – Andrea Campagner, Luca Marconi, Bianchi Edoardo, Beatrice Arosio, Paolo Rossi, Giorgio Annoni, Tiziano Angelo Lucchi, Nicola Montano, Federico Cabitza:
    Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care.
    J. Biomed. Informatics 2025.
2024
  •  – Sergei Katkov, Antonio Liotta, Alessandro Vietti:
    ASR Systems Under Acoustic Challenges: A Multilingual Study.
    AI*IA 2024.
  •  – Xiaochen Liu, Alexander W. Jacob, Wei Song 0007, Antonio Liotta:
    Global Feature Attribution Map based on Optical Flow for Super Resolution Neural Networks.
    BDCAT 2024.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    Modeling Resilience of Collaborative AI Systems.
    CAIN 2024.
  •  – Laura Erhan, Lucia Cavallaro, Mattia Andrea Antinori, Antonio Liotta:
    Evaluation of High Sparsity Strategies for Efficient Binary Classification.
    DaWaK 2024.
  •  – Mohammad Shirdel, Mario Di Mauro, Antonio Liotta:
    Exploring Evaluation Metrics for Binary Classification in Data Analysis: the Worthiness Benchmark Concept.
    DaWaK 2024.
  •  – Amir Aieb, Alexander W. Jacob, Antonio Liotta, Muhammad Usman Liaqat:
    A Hybrid Surrogate Deep Learning Model for Actual Evapotranspiration Prediction.
    IDSTA 2024.
  •  – Sergei Katkov, Antonio Liotta, Alessandro Vietti:
    Evaluating the Robustness of ASR Systems in Adverse Acoustic Conditions.
    IDSTA 2024.
  •  – Xiaochen Liu, Alexander W. Jacob, Wei Song 0007, Antonio Liotta:
    Interpreting Image Super-Resolution in Artificial Neural Networks from Global and Local Views.
    IDSTA 2024.
  •  – Amirhossein Douzandeh Zenoozi, Babak Majidi, Lucia Cavallaro, Antonio Liotta:
    Hybrid Edge-Cloud Federated Learning: The Case of Lightweight Smoking Detection.
    iiWAS (1) 2024.
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song 0007, Antonio Liotta:
    Evaluating Recurrent Neural Networks for prediction of Multi- Variate time series VoIP metrics.
    MedComNet 2024.
  •  – Laura Erhan, Antonio Liotta, Lucia Cavallaro:
    Comparing Training of Sparse to Classic Neural Networks for Binary Classification in Medical Data.
    MoMM 2024.
  •  – Wei Song 0007, Chengbing Liu, Mario Di Mauro, Antonio Liotta:
    Unsupervised Underwater Image Enhancement Combining Imaging Restoration and Prompt Learning.
    PRCV (2) 2024.
  •  – Sergei Katkov, Antonio Liotta, Alessandro Vietti:
    Benchmarking Whisper Under Diverse Audio Transformations and Real-Time Constraints.
    SPECOM (1) 2024.
  •  – 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 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 2024.
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song 0007, Antonio Liotta:
    Hybrid learning strategies for multivariate time series forecasting of network quality metrics.
    Comput. Networks 2024.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    Modeling Resilience of Collaborative AI Systems.
    CoRR 2024.
  •  – Yuxuan Lin 0001, Yang Chang, Xuan Tong, Jiawen Yu, Antonio Liotta, Guofan Huang, Wei Song 0007, Deyu Zeng, Zongze Wu 0001, Yan Wang 0068, Wenqiang Zhang:
    A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly Detection.
    CoRR 2024.
  •  – Rozi Khan, Muhammad Sohail, Imran Usman, Moid Sandhu, Mohsin Raza Jafri, Muhammad Azfar Yaqub, Antonio Liotta:
    Comparative study of deep learning techniques for DeepFake video detection.
    ICT Express 2024.
  •  – Mohammad Shirdel, Mario Di Mauro, Antonio Liotta:
    Worthiness Benchmark: A novel concept for analyzing binary classification evaluation metrics.
    Inf. Sci. 2024.
  •  – Wei Song 0007, Zhihao Shen, Minghua Zhang, Yan Wang 0068, Antonio Liotta:
    A hierarchical probabilistic underwater image enhancement model with reinforcement tuning.
    J. Vis. Commun. Image Represent. 2024.
  •  – Yan Wang 0068, Shaoqi Yan, Wei Song 0007, Antonio Liotta, Jing Liu 0050, Dingkang Yang, Shuyong Gao, Wenqiang Zhang:
    MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots.
    IEEE Trans. Ind. Informatics 2024.
  •  – Qing Zhao 0007, Yan Wang 0068, Boyang Wang 0003, Junxiong Lin, Shaoqi Yan, Wei Song 0007, 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 2024.
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song 0007, Antonio Liotta:
    Multivariate Time Series Characterization and Forecasting of VoIP Traffic in Real Mobile Networks.
    IEEE Trans. Netw. Serv. Manag. 2024.
2023
  •  – Lucia Cavallaro, Tommaso Serafin, Antonio Liotta:
    Multi-class Classification Performance Improvements Through High Sparsity Strategies.
    COMPLEX NETWORKS (1) 2023.
  •  – Rachel Fanti Coelho Limaa, Michele Segata, Muhammad Azfar Yaqub, Antonio Liotta:
    MiniLearn: On-Device Learning for Low-Power IoT Devices.
    EWSN 2023.
  •  – Mohammad Shirdel, Mario Di Mauro, Antonio Liotta:
    Relative Information Superiority (RIS): a Novel Evaluation Measure for Binary Rule-Based Classification Models.
    EWSN 2023.
  •  – Lucia Cavallaro, Tommaso Serafin, Antonio Liotta:
    Miniaturisation of Binary Classifiers Through Sparse Neural Networks.
    NUMTA (1) 2023.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.
    PROFES (1) 2023.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.
    ICTSS 2023.
  •  – Mario Di Mauro, Giovanni Galatro, Fabio Postiglione, Wei Song 0007, Antonio Liotta:
    Multivariate Time Series characterization and forecasting of VoIP traffic in real mobile networks.
    CoRR 2023.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems.
    CoRR 2023.
  •  – Diaeddin Rimawi, Antonio Liotta, Marco Todescato, Barbara Russo:
    GResilience: Trading Off Between the Greenness and the Resilience of Collaborative AI Systems.
    CoRR 2023.
  •  – Diaeddin Rimawi:
    Green Resilience of Cyber-Physical Systems.
    CoRR 2023.
  •  – Shubo Xu, Minghua Zhang, Wei Song 0007, Haibin Mei, Qi He 0003, Antonio Liotta:
    A systematic review and analysis of deep learning-based underwater object detection.
    Neurocomputing 2023.
  •  – Xiaochen Liu, Wei Song 0007, Qi He 0003, Mario Di Mauro, Antonio Liotta:
    Speeding Up Subjective Video Quality Assessment via Hybrid Active Learning.
    IEEE Trans. Broadcast. 2023.
  •  – Maryleen U. Ndubuaku, Muhammad K. Ali, Ashiq Anjum, Lu Liu 0001, Antonio Liotta, Omer F. Rana:
    Edge-Enhanced QoS Aware Compression Learning for Sustainable Data Stream Analytics.
    IEEE Trans. Sustain. Comput. 2023.
2022
  •  – Lucia Cavallaro, Pasquale De Meo, Keyvan Golalipour, Xiaoyang Liu 0001, Giacomo Fiumara, Andrea Tagarelli, Antonio Liotta:
    Analysis on the Effects of Graph Perturbations on Centrality Metrics.
    COMPLEX NETWORKS (2) 2022.
  •  – Mohammad Shirdel, Michele Segata, Giuseppe Di Fatta, Antonio Liotta:
    Event Detection in Financial Markets.
    DASC/PiCom/CBDCom/CyberSciTech 2022.
  •  – Diaeddin Rimawi:
    Green Resilience of Cyber-Physical Systems.
    ISSRE Workshops 2022.
  •  – Xiaochen Liu, Wei Song 0007, Wenbo Zhang 0004, Mario Di Mauro, Antonio Liotta:
    Efficient Subjective Video Quality Assessment Based on Active Learning and Clustering.
    MoMM 2022.
  •  – 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. 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 2022.
  •  – Constantine Ayimba, Michele Segata, Paolo Casari, Vincenzo Mancuso:
    Driving under influence: Robust controller migration for MEC-enabled platooning.
    Comput. Commun. 2022.
  •  – Renato Lo Cigno, Michele Segata:
    Cooperative driving: A comprehensive perspective, the role of communications, and its potential development.
    Comput. Commun. 2022.
  •  – Raphaël Frank, Michele Segata, Uichin Lee:
    Special Issue on the 16th Wireless On-demand Network systems and Services Conference.
    Comput. Commun. 2022.
  •  – Yan Wang 0068, Wei Song 0007, Wei Tao 0003, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang 0016, Wenqiang Zhang:
    A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances.
    CoRR 2022.
  •  – Yan Wang 0068, Wei Song 0007, Wei Tao 0003, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang 0016, Wenqiang Zhang:
    A systematic review on affective computing: emotion models, databases, and recent advances.
    Inf. Fusion 2022.
  •  – Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain 0001:
    Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks.
    Pattern Recognit. 2022.
  •  – Wei Song 0007, Wen Gao 0018, Qi He 0003, 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. 2022.
  •  – Wei Song 0007, Hongtao Li, Qi He 0003, Guoping Gao, Antonio Liotta:
    E-MPSPNet: Ice-Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision.
    Remote. Sens. 2022.
  •  – Amir Aieb, Antonio Liotta, Ismahen Kadri, Khodir Madani:
    A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff.
    Sensors 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 2022.
  •  – Veronika Lesch, Martin Breitbach, Michele Segata, Christian Becker 0001, Samuel Kounev, Christian Krupitzer:
    An Overview on Approaches for Coordination of Platoons.
    IEEE Trans. Intell. Transp. Syst. 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. 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.
  •  – Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
    Correlation Analysis of Node and Edge Centrality Measures in Artificial Complex Networks.
    ICICT (3) 2021.
  •  – Laura Erhan, Mario Di Mauro, Ovidiu Bagdasar, Antonio Liotta:
    Critical Comparison of Data Imputation Techniques at IoT Edge.
    IDC 2021.
  •  – Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
    A WNN-Based Approach for Network Intrusion Detection.
    IDC 2021.
  •  – Wei Song 0007, 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.
  •  – Constantine Ayimba, Michele Segata, Paolo Casari, Vincenzo Mancuso:
    Closer than Close: MEC-Assisted Platooning with Intelligent Controller Migration.
    MSWiM 2021.
  •  – Michele Segata, Lorenzo Ghiro, Renato Lo Cigno:
    On the Progressive Introduction of Heterogeneous CACC Capabilities.
    VNC 2021.
  •  – Michele Segata, Piermaria Arvani, Renato Lo Cigno:
    A Critical Assessment of C-V2X Resource Allocation Scheme for Platooning Applications.
    WONS 2021.
  •  – Annamaria Ficara, Lucia Cavallaro, Francesco Curreri, Giacomo Fiumara, Pasquale De Meo, Ovidiu Bagdasar, Wei Song 0007, Antonio Liotta:
    Criminal Networks Analysis in Missing Data scenarios through Graph Distances.
    CoRR 2021.
  •  – Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta:
    Graph and Network Theory for the analysis of Criminal Networks.
    CoRR 2021.
  •  – Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
    Correlation analysis of nodes and edges centrality measures in artificial complex networks.
    CoRR 2021.
  •  – Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta:
    Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review.
    CoRR 2021.
  •  – Muhammad Usman Yaseen, Ashiq Anjum, Giancarlo Fortino, Antonio Liotta, Amir Hussain 0001:
    Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks.
    CoRR 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. 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. 2021.
  •  – Veronika Lesch, Christian Krupitzer, Kevin Stubenrauch, Nico Keil, Christian Becker 0001, Samuel Kounev, Michele Segata:
    A comparison of mechanisms for compensating negative impacts of system integration.
    Future Gener. Comput. Syst. 2021.
  •  – Laura Erhan, Maryleen U. Ndubuaku, Mario Di Mauro, Wei Song 0007, Min Chen 0003, Giancarlo Fortino, Ovidiu Bagdasar, Antonio Liotta:
    Smart anomaly detection in sensor systems: A multi-perspective review.
    Inf. Fusion 2021.
  •  – Laura Erhan, Mario Di Mauro, Ashiq Anjum, Ovidiu Bagdasar, Wei Song 0007, Antonio Liotta:
    Embedded Data Imputation for Environmental Intelligent Sensing: A Case Study.
    Sensors 2021.
  •  – Wei Song 0007, Minghui Li, Wen Gao 0018, 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. 2021.
  •  – Timo Sturm, Christian Krupitzer, Michele Segata, Christian Becker 0001:
    A Taxonomy of Optimization Factors for Platooning.
    IEEE Trans. Intell. Transp. Syst. 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.
  •  – Danfeng Zhao, Zhou Huang, Feng Zhou, Antonio Liotta, Dongmei Huang:
    An Approximation Method for Large Graph Similarity.
    IEEE BigData 2020.
  •  – 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.
  •  – 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.
  •  – Mattia Milani, Marco Nesler, Michele Segata, Luca Baldesi, Leonardo Maccari, Renato Lo Cigno:
    Improving BGP Convergence with Fed4FIRE+ Experiments.
    INFOCOM Workshops 2020.
  •  – Mario Di Mauro, Antonio Liotta, Maurizio Longo, Fabio Postiglione:
    Statistical Characterization of Containerized IP Multimedia Subsystem through Queueing Networks.
    NetSoft 2020.
  •  – Michele Segata, Andrea Stedile, Renato Lo Cigno:
    Modeling Slipstreaming Effects in Vehicle Platoons.
    VNC 2020.
  •  – 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 2020.
  •  – Lucia Cavallaro, Stefania Costantini, Pasquale De Meo, Antonio Liotta, Giovanni Stilo:
    Network connectivity under a probabilistic node failure model.
    CoRR 2020.
  •  – Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
    Experimental Review of Neural-based approaches for Network Intrusion Management.
    CoRR 2020.
  •  – Mario Di Mauro, Antonio Liotta:
    An experimental evaluation and characterization of VoIP over an LTE-A network.
    CoRR 2020.
  •  – Mario Di Mauro, Antonio Liotta:
    Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: a Queueing Networks Approach.
    CoRR 2020.
  •  – Laura Erhan, Maryleen U. Ndubuaku, Mario Di Mauro, Wei Song 0007, Min Chen 0003, Giancarlo Fortino, Ovidiu Bagdasar, Antonio Liotta:
    Smart Anomaly Detection in Sensor Systems.
    CoRR 2020.
  •  – Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta:
    Correlations among Game of Thieves and other centrality measures in complex networks.
    CoRR 2020.
  •  – Giancarlo Fortino, Antonio Liotta, Fabrizio Messina, Domenico Rosaci, Giuseppe M. L. Sarné:
    Evaluating group formation in virtual communities.
    IEEE CAA J. Autom. Sinica 2020.
  •  – Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta:
    Artificial neural networks training acceleration through network science strategies.
    Soft Comput. 2020.
  •  – Wei Song 0007, Yan Wang 0068, Dongmei Huang, Antonio Liotta, Cristian Perra:
    Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map.
    IEEE Trans. Broadcast. 2020.
  •  – Mario Di Mauro, Giovanni Galatro, Antonio Liotta:
    Experimental Review of Neural-Based Approaches for Network Intrusion Management.
    IEEE Trans. Netw. Serv. Manag. 2020.
  •  – Mario Di Mauro, Antonio Liotta:
    An Experimental Evaluation and Characterization of VoIP Over an LTE-A Network.
    IEEE Trans. Netw. Serv. Manag. 2020.
2019
  •  – Roberto Corda, Daniele D. Giusto, Cristian Perra, Antonio Liotta, Wei Song 0007:
    Statistical analysis of computer generated holography for data compression applications.
    BMSB 2019.
  •  – 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.
  •  – Cristian Perra, Elisavet Grigoriou, Antonio Liotta, Wei Song 0007, Claudio Usai, Daniele D. Giusto:
    Augmented reality for cultural heritage education.
    ICCE-Berlin 2019.
  •  – Anas AlDabbagh, Giuseppe Di Fatta, Antonio Liotta:
    The Distributed p-Median Problem in Computer Networks.
    ICCSA (6) 2019.
  •  – Wei Song 0007, Shuyuan Dai, Jian Wang 0130, Dongmei Huang, Antonio Liotta, Giuseppe Di Fatta:
    Bi-gradient Verification for Grad-CAM Towards Accurate Visual Explanation for Remote Sensing Images.
    ICDM Workshops 2019.
  •  – Oluwabunmi Oloruntoba, Georgina Cosma, Antonio Liotta:
    Clan-Based Cultural Algorithm for Feature Selection.
    ICDM Workshops 2019.
  •  – 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.
    Internet and Distributed Computing Systems – 12th International Conference, IDCS 2019, Naples, Italy, October 10-12, 2019, Proceedings 2019.
  •  – Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
    Unsupervised Anomaly Thresholding from Reconstruction Errors.
    IDCS 2019.
  •  – Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, Antonio Liotta:
    Artificial Neural Networks Training Acceleration Through Network Science Strategies.
    NUMTA (2) 2019.
  •  – Sam O’Neill, Ovidiu Bagdasar, Antonio Liotta:
    An Online Learning Approach to a Multi-player N-armed Functional Bandit.
    NUMTA (2) 2019.
  •  – Maryleen U. Ndubuaku, Ashiq Anjum, Antonio Liotta:
    Cloud-assisted Adaptive Stream Processing from Discriminative Representations.
    SMC 2019.
  •  – 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 2019.
  •  – Enrico Ferrara, Luigi Fragale, Giancarlo Fortino, Wei Song 0007, Cristian Perra, Mario Di Mauro, Antonio Liotta:
    An AI Approach to Collecting and Analyzing Human Interactions With Urban Environments.
    IEEE Access 2019.
  •  – Claudio Savaglio, Pasquale Pace, Gianluca Aloi, Antonio Liotta, Giancarlo Fortino:
    Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.
    IEEE Access 2019.
  •  – Yan Wang 0068, Wei Song 0007, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta:
    An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging.
    IEEE Access 2019.
  •  – Wei Song 0007, Yan Wang 0068, Dongmei Huang, Antonio Liotta, Cristian Perra:
    Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map.
    CoRR 2019.
  •  – Yan Wang 0068, Wei Song 0007, Giancarlo Fortino, Lizhe Qi, Wenqiang Zhang, Antonio Liotta:
    An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging.
    CoRR 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. 2019.
  •  – Tim van der Lee, Antonio Liotta, Georgios Exarchakos:
    Interference graphs to monitor and control schedules in low-power WPAN.
    Future Gener. Comput. Syst. 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 2019.
  •  – Yanling Du, Wei Song 0007, Qi He 0003, Dongmei Huang, Antonio Liotta, Chen Su:
    Deep learning with multi-scale feature fusion in remote sensing for automatic oceanic eddy detection.
    Inf. Fusion 2019.
  •  – Akis Kokkinis, Loizos Kanaris, Antonio Liotta, Stavros Stavrou:
    RSS Indoor Localization Based on a Single Access Point.
    Sensors 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 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. 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 2019.
  •  – Pasquale Pace, Giancarlo Fortino, Yin Zhang 0002, Antonio Liotta:
    Intelligence at the Edge of Complex Networks: The Case of Cognitive Transmission Power Control.
    IEEE Wirel. Commun. 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.
  •  – 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.
  •  – Tim van der Lee, Antonio Liotta, Georgios Exarchakos:
    Time-Scheduled Network Evaluation Based on Interference.
    IC2E 2018.
  •  – Wei Song 0007, Minghui Li, Qi He 0003, Dongmei Huang, Cristian Perra, Antonio Liotta:
    A Residual Convolution Neural Network for Sea Ice Classification with Sentinel-1 SAR Imagery.
    ICDM Workshops 2018.
  •  – Danfeng Zhao, Yeyi Zhang, Junchen Lin, Wei Song 0007, Antonio Liotta, Dongmei Huang:
    Query of Marine Big Data Based on Graph Compression and Views.
    ICDM Workshops 2018.
  •  – Michele Chincoli, Stavros Stavrou, Antonio Liotta:
    Density and Transmission Power in Intelligent Wireless Sensor Networks.
    IWCMC 2018.
  •  – Cristian Perra, Wei Song 0007, Antonio Liotta:
    Effects of light field subsampling on the quality of experience in refocusing applications.
    QoMEX 2018.
  •  – Dongmei Huang, Qian Zhang, Jian Wang 0130, Antonio Liotta, Wei Song 0007, Jiangang Zhu:
    Marine Information System Based on Ocean Data Ontology Construction.
    SMC 2018.
  •  – Maria Torres Vega, Antonio Liotta:
    Cognitive Real-Time QoE Management in Video Streaming Services.
    ITC (1) 2018.
  •  – Antonio Liotta, Fabrizio Messina, Domenico Rosaci, Giuseppe M. L. Sarné:
    Effective Group Formation in Agent Societies.
    WOA 2018.
  •  – Michele Chincoli, Antonio Liotta:
    Self-Learning Power Control in Wireless Sensor Networks.
    Sensors 2018.
  •  – Maria Torres Vega, Cristian Perra, Antonio Liotta:
    Resilience of Video Streaming Services to Network Impairments.
    IEEE Trans. Broadcast. 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. 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. 2018.
2017
  •  – Maria Torres Vega, Cristian Perra, Decebal Constantin Mocanu, Antonio Liotta:
    Effect of lossy networks on stereoscopic 3D-video streams.
    BMSB 2017.
  •  – Michele Chincoli, Antonio Liotta:
    In-node cognitive power control in Wireless Sensor Networks.
    ICC Workshops 2017.
  •  – 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.
    14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16-18, 2017 2017.
  •  – Michele Chincoli, Pascal den Boef, Antonio Liotta:
    Cognitive channel selection for Wireless Sensor communications.
    ICNSC 2017.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Johan J. Lukkien, Antonio Liotta:
    Evaluating machine learning algorithms for applications with humans in the loop.
    ICNSC 2017.
  •  – Dongmei Huang, Yanling Du, Qi He 0003, Wei Song 0007, Antonio Liotta:
    DeepEddy: A simple deep architecture for mesoscale oceanic eddy detection in SAR images.
    ICNSC 2017.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Stavros Stavrou:
    Combining smart lighting and radio fingerprinting for improved indoor localization.
    ICNSC 2017.
  •  – Roshan Kotian, Georgios Exarchakos, Antonio Liotta:
    Reliable low-power wireless networks over unstable transmission power.
    ICNSC 2017.
  •  – Tim van der Lee, Antonio Liotta, Georgios Exarchakos:
    TSCH schedules assessment.
    ICNSC 2017.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Stavros Stavrou:
    Quality of fingerprint radiomaps for positioning systems.
    ICT 2017.
  •  – Tim van der Lee, Georgios Exarchakos, Antonio Liotta:
    Distributed TSCH scheduling: A comparative analysis.
    SMC 2017.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Johan J. Lukkien, Antonio Liotta:
    Relevance in cyber-physical systems with humans in the loop.
    Concurr. Comput. Pract. Exp. 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 2017.
  •  – Decebal Constantin Mocanu, Elena Mocanu, Peter Stone 0001, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    Evolutionary Training of Sparse Artificial Neural Networks: A Network Science Perspective.
    CoRR 2017.
  •  – Roshan Kotian, Georgios Exarchakos, Stavros Stavrou, Antonio Liotta:
    Impact of Transmission Power Control in multi-hop networks.
    Future Gener. Comput. Syst. 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 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. 2017.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta:
    Unsupervised deep learning for real-time assessment of video streaming services.
    Multim. Tools Appl. 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. 2017.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Stavros Stavrou:
    Fusing Bluetooth Beacon Data with Wi-Fi Radiomaps for Improved Indoor Localization.
    Sensors 2017.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Stavros Stavrou, Antonio Liotta:
    Predictive no-reference assessment of video quality.
    Signal Process. Image Commun. 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. 2017.
2016
  •  – Michele Chincoli, Aly Aamer Syed, Decebal Constantin Mocanu, Antonio Liotta:
    Predictive Power Control in Wireless Sensor Networks.
    IoTDI 2016.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta:
    A Regression Method for real-time video quality evaluation.
    MoMM 2016.
  •  – Maria Torres Vega, Jeroen Famaey, Antonius M. J. Koonen, Antonio Liotta:
    Resource allocation in optical beam-steered indoor networks.
    NOMS 2016.
  •  – 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.
  •  – Loizos Kanaris, Akis Kokkinis, Giancarlo Fortino, Antonio Liotta, Stavros Stavrou:
    Sample Size Determination Algorithm for fingerprint-based indoor localization systems.
    Comput. Networks 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 2016.
  •  – Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    A topological insight into restricted Boltzmann machines.
    CoRR 2016.
  •  – Decebal Constantin Mocanu, Maria Torres Vega, Eric Eaton, Peter Stone 0001, Antonio Liotta:
    Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data.
    CoRR 2016.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Antonio Liotta:
    Predictive No-Reference Assessment of Video Quality.
    CoRR 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. 2016.
  •  – Michele Chincoli, Aly Aamer Syed, Georgios Exarchakos, Antonio Liotta:
    Power Control in Wireless Sensor Networks with Variable Interference.
    Mob. Inf. Syst. 2016.
  •  – Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
    A topological insight into restricted Boltzmann machines.
    Mach. Learn. 2016.
  •  – Stefano Galzarano, Roberta Giannantonio, Antonio Liotta, Giancarlo Fortino:
    A Task-Oriented Framework for Networked Wearable Computing.
    IEEE Trans Autom. Sci. Eng. 2016.
2015
  •  – Decebal Constantin Mocanu, Maria Torres Vega, Antonio Liotta:
    Redundancy Reduction in Wireless Sensor Networks via Centrality Metrics.
    ICDM Workshops 2015.
  •  – Roshan Kotian, Georgios Exarchakos, Antonio Liotta:
    Data Driven Transmission Power Control for Wireless Sensor Networks.
    IDCS 2015.
  •  – Decebal Constantin Mocanu, Georgios Exarchakos, Haitham Bou-Ammar, Antonio Liotta:
    Reduced reference image quality assessment via Boltzmann Machines.
    IM 2015.
  •  – Maria Torres Vega, Decebal Constantin Mocanu, Rosario Barresi, Giancarlo Fortino, Antonio Liotta:
    Cognitive streaming on android devices.
    IM 2015.
  •  – Wei Song 0007, Yao Xiao, Dian Tjondronegoro, Antonio Liotta:
    QoE Modelling for VP9 and H.265 Videos on Mobile Devices.
    ACM Multimedia 2015.
  •  – Maria Torres Vega, Vittorio Sguazzo, Decebal Constantin Mocanu, Antonio Liotta:
    Accuracy of No-Reference Quality Metrics in Network-impaired Video Streams.
    MoMM 2015.
  •  – Maria Torres Vega, Emanuele Giordano, Decebal Constantin Mocanu, Dian Tjondronegoro, Antonio Liotta:
    Cognitive no-reference video quality assessment for mobile streaming services.
    QoMEX 2015.
  •  – Michele Chincoli, Claudio Bacchiani, Aly Aamer Syed, Georgios Exarchakos, Antonio Liotta:
    Interference Mitigation through Adaptive Power Control in Wireless Sensor Networks.
    SMC 2015.
  •  – 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 2015.
  •  – Giancarlo Fortino, Raffaele Gravina, Wenfeng Li 0001, Mohammad Mehedi Hassan, Antonio Liotta:
    Enhancing Internet and Distributed Computing Systems with Wireless Sensor Networks.
    Int. J. Distributed Sens. Networks 2015.
  •  – George Exarchakos, Luca Druda, Vlado Menkovski, Antonio Liotta:
    Network analysis on Skype end-to-end video quality.
    Int. J. Pervasive Comput. Commun. 2015.
  •  – Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss 0001, Karl Tuyls:
    Factored four way conditional restricted Boltzmann machines for activity recognition.
    Pattern Recognit. Lett. 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.
  •  – 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.
  •  – Hedde H. W. J. Bosman, Giovanni Iacca, Heinrich J. Wörtche, Antonio Liotta:
    Online Fusion of Incremental Learning for Wireless Sensor Networks.
    ICDM Workshops 2014.
  •  – Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta:
    Deep learning for objective quality assessment of 3D images.
    ICIP 2014.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Statistical Inference for Intelligent Lighting: A Pilot Study.
    IDC 2014.
  •  – Stefano Galzarano, Giancarlo Fortino, Antonio Liotta:
    A Learning-Based MAC for Energy Efficient Wireless Sensor Networks.
    IDCS 2014.
  •  – 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.
  •  – Decebal Constantin Mocanu, Georgios Exarchakos, Antonio Liotta:
    Node centrality awareness via swarming effects.
    SMC 2014.
  •  – Elena Mocanu, Decebal Constantin Mocanu, Haitham Bou-Ammar, Zoran Zivkovic, Antonio Liotta, Evgueni N. Smirnov:
    Inexpensive user tracking using Boltzmann Machines.
    SMC 2014.
  •  – 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. 2014.
  •  – Antonio Liotta, Giuseppe Di Fatta:
    Data Mining for Monitoring and Managing Systems and Networks.
    J. Netw. Syst. Manag. 2014.
2013
  •  – Stefano Galzarano, Antonio Liotta, Giancarlo Fortino:
    QL-MAC: A Q-Learning Based MAC for Wireless Sensor Networks.
    ICA3PP (2) 2013.
  •  – Roshan Kotian, Georgios Exarchakos, Decebal Constantin Mocanu, Antonio Liotta:
    Predicting Battery Depletion of Neighboring Wireless Sensor Nodes.
    ICA3PP (2) 2013.
  •  – Vlado Menkovski, Antonio Liotta:
    Intelligent control for adaptive video streaming.
    ICCE 2013.
  •  – Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
    Online Extreme Learning on Fixed-Point Sensor Networks.
    ICDM Workshops 2013.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Relevance Prevails: Missing Data Treatment in Intelligent Lighting.
    ICMMI 2013.
  •  – Loizos Kanaris, Akis Kokkinis, Antonio Liotta, Marios Raspopoulos, Stavros Stavrou:
    A binomial distribution approach for the evaluation of indoor positioning systems.
    ICT 2013.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Relevance as a Metric for Evaluating Machine Learning Algorithms.
    MLDM 2013.
  •  – Antonio Liotta, Decebal Constantin Mocanu, Vlado Menkovski, Luciana Cagnetta, Georgios Exarchakos:
    Instantaneous Video Quality Assessment for lightweight devices.
    MoMM 2013.
  •  – Akis Kokkinis, Marios Raspopoulos, Loizos Kanaris, Antonio Liotta, Stavros Stavrou:
    Map-aided fingerprint-based indoor positioning.
    PIMRC 2013.
  •  – Hedde H. W. J. Bosman, Antonio Liotta, Giovanni Iacca, Heinrich J. Wörtche:
    Anomaly Detection in Sensor Systems Using Lightweight Machine Learning.
    SMC 2013.
  •  – Stefano Galzarano, Claudio Savaglio, Antonio Liotta, Giancarlo Fortino:
    Gossiping-Based AODV for Wireless Sensor Networks.
    SMC 2013.
  •  – Aravind Kota Gopalakrishna, Tanir Ozcelebi, Antonio Liotta, Johan J. Lukkien:
    Relevance As a Metric for Evaluating Machine Learning Algorithms.
    CoRR 2013.
  •  – George Exarchakos, Luca Druda, Vlado Menkovski, Paolo Bellavista, Antonio Liotta:
    Skype Resilience to High Motion Videos.
    Int. J. Wavelets Multiresolution Inf. Process. 2013.
2012
  •  – Giancarlo Fortino, Stefano Galzarano, Antonio Liotta:
    An autonomic plane for Wireless Body Sensor Networks.
    ICNC 2012.
  •  – Daniël Geelen, Gert van Kempen, Frans van Hoogstraten, Antonio Liotta:
    A wireless mesh communication protocol for smart-metering.
    ICNC 2012.
  •  – Jewel Okyere-Benya, Mamoon Aldiabat, Vlado Menkovski, George Exarchakos, Antonio Liotta:
    Video quality degradation on IPTV networks.
    ICNC 2012.
  •  – Antonio Liotta:
    The human side of video streaming services.
    iiWAS 2012.
  •  – Aravind Kota Gopalakrishna, Tanir Özçelebi, Antonio Liotta, Johan J. Lukkien:
    Exploiting machine learning for intelligent room lighting applications.
    IEEE Conf. of Intelligent Systems 2012.
  •  – Antonio Liotta, Luca Druda, Vlado Menkovski, Georgios Exarchakos:
    Quality of experience management for video streams: the case of Skype.
    MoMM 2012.
  •  – Antonio Liotta:
    Farewell to deterministic networks.
    SCVT 2012.
  •  – Stefano Galzarano, Giancarlo Fortino, Antonio Liotta:
    Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks.
    SMC 2012.
  •  – Aravind Kota Gopalakrishna, Tanir Özçelebi, Antonio Liotta, Johan J. Lukkien:
    Treatment of Missing Data in Intelligent Lighting Applications.
    UIC/ATC 2012.
  •  – Antonio Liotta, Daniël Geelen, Gert van Kempen, Frans van Hoogstraten:
    A survey on networks for smart-metering systems.
    Int. J. Pervasive Comput. Commun. 2012.
  •  – Vlado Menkovski, Antonio Liotta:
    Adaptive psychometric scaling for video quality assessment.
    Signal Process. Image Commun. 2012.
  •  – Florence Agboma, Antonio Liotta:
    Quality of experience management in mobile content delivery systems.
    Telecommun. Syst. 2012.
2011
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
    Tackling the Sheer Scale of Subjective QoE.
    MobiMedia 2011.
  •  – Georgios Exarchakos, Vlado Menkovski, Antonio Liotta:
    Can Skype be used beyond video calling?.
    MoMM 2011.
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
    The Value of Relative Quality in Video Delivery.
    J. Mobile Multimedia 2011.
  •  – Antonio Liotta, George Exarchakos:
    Networks for Pervasive Services – Six Ways to Upgrade the Internet.
    Networks for Pervasive Services – Six Ways to Upgrade the Internet 2011.
2010
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta:
    Machine Learning Approach for Quality of Experience Aware Networks.
    INCoS 2010.
  •  – Majed Alhaisoni, Antonio Liotta, Mohammed Ghanbari 0001:
    Resource-awareness and trade-off optimisation in P2P video streaming.
    Int. J. Adv. Media Commun. 2010.
  •  – Majed Alhaisoni, Mohammed Ghanbari 0001, Antonio Liotta:
    Scalable P2P Video Streaming.
    Int. J. Bus. Data Commun. Netw. 2010.
  •  – Majed Alhaisoni, Mohammed Ghanbari 0001, Antonio Liotta:
    Localized Multistreams for P2P Streaming.
    Int. J. Digit. Multim. Broadcast. 2010.
  •  – Vlado Menkovski, Georgios Exarchakos, Antonio Liotta, Antonio Cuadra Sánchez:
    Quality of Experience Models for Multimedia Streaming.
    Int. J. Mob. Comput. Multim. Commun. 2010.
  •  – Florence Agboma, Antonio Liotta:
    QoE in Pervasive Telecommunication Systems.
    Pervasive Computing, Innovations in Intelligent Multimedia and Applications 2010.
  •  – Nadia N. Qadri, Antonio Liotta:
    Analysis of Pervasive Mobile Ad Hoc Routing Protocols.
    Pervasive Computing, Innovations in Intelligent Multimedia and Applications 2010.

Useful Links

Contact

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