All Outputs (62)

An Online Learning Approach to a Multi-player N-armed Functional Bandit (2020)
Conference Proceeding
O’Neill, S., Bagdasar, O., & Liotta, A. (2020). An Online Learning Approach to a Multi-player N-armed Functional Bandit. In Numerical Computations: Theory and Algorithms (438-445). https://doi.org/10.1007/978-3-030-40616-5_41

Congestion games possess the property of emitting at least one pure Nash equilibrium and have a rich history of practical use in transport modelling. In this paper we approach the problem of modelling equilibrium within congestion games using a decen... Read More about An Online Learning Approach to a Multi-player N-armed Functional Bandit.

Artificial Neural Networks Training Acceleration Through Network Science Strategies (2020)
Conference Proceeding
Cavallaro, L., Bagdasar, O., De Meo, P., Fiumara, G., & Liotta, A. (2020). Artificial Neural Networks Training Acceleration Through Network Science Strategies. In Numerical Computations: Theory and Algorithms (330-336). https://doi.org/10.1007/978-3-030-40616-5_27

Deep Learning opened artificial intelligence to an unprecedented number of new applications. A critical success factor is the ability to train deeper neural networks, striving for stable and accurate models. This translates into Artificial Neural Net... Read More about Artificial Neural Networks Training Acceleration Through Network Science Strategies.

Cloud-assisted Adaptive Stream Processing from Discriminative Representations (2019)
Conference Proceeding
Ndubuaku, M., Anjum, A., & Liotta, A. Cloud-assisted Adaptive Stream Processing from Discriminative Representations. . https://doi.org/10.1109/smc.2019.8914227

As the streaming data generated by Internet of Things (IoT) ubiquitous sensors grow in massive scale, extracting interesting information (anomalies) in real-time becomes more challenging. Traditional systems which retrospectively perform all the proc... Read More about Cloud-assisted Adaptive Stream Processing from Discriminative Representations.

Unsupervised Anomaly Thresholding from Reconstruction Errors (2019)
Conference Proceeding
Ndubuaku, M. U., Anjum, A., & Liotta, A. (2019). Unsupervised Anomaly Thresholding from Reconstruction Errors. In Unsupervised Anomaly Thresholding from Reconstruction Errors (123-129). https://doi.org/10.1007/978-3-030-34914-1_12

Internet of Things (IoT) sensors generate massive streaming data which needs to be processed in real-time for many applications. Anomaly detection is one popular way to process such data and discover nuggets of information. Various machine learning t... Read More about Unsupervised Anomaly Thresholding from Reconstruction Errors.

Intelligent control for adaptive video streaming (2013)
Conference Proceeding
Menkovski, V., & Liotta, A. (2013). Intelligent control for adaptive video streaming. . https://doi.org/10.1109/ICCE.2013.6486825

We present an autonomous learning agent for adaptive video streaming in best effort networks. The agent learns an optimal control strategy in regards to the delivered quality of experience without the need for implementation of a complex heuristics.

Preface to the Second International Workshop on Data Mining in Networks -- DaMNet 2012 (2013)
Conference Proceeding
Di Fatta, G., & Liotta, A. (2013). Preface to the Second International Workshop on Data Mining in Networks -- DaMNet 2012. . https://doi.org/10.1109/ICDMW.2012.149

Farewell to deterministic networks (2012)
Conference Proceeding
Liotta, A. (2012). Farewell to deterministic networks. . https://doi.org/10.1109/SCVT.2012.6399413

As communication networks become increasingly complex and dynamic, the three functions known as monitoring, control and management prove to be ineffective. It is increasingly difficult to operate large networks, perform diagnostics, prevent cascading... Read More about Farewell to deterministic networks.

Tackling the sheer scale of subjective QoE (2012)
Conference Proceeding
Menkovski, V., Exarchakos, G., & Liotta, A. (2012). Tackling the sheer scale of subjective QoE. In Mobile Multimedia Communications (1-15). https://doi.org/10.1007/978-3-642-30419-4_1

Maximum Likelihood Difference Scaling (MLDS) used as a method for subjective assessment of video quality alleviates the inconveniencies associated with high variation and biases common in rating methods. However, the number of tests in a MLDS study r... Read More about Tackling the sheer scale of subjective QoE.

Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks (2012)
Conference Proceeding
Galzarano, S., Fortino, G., & Liotta, A. (2012). Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks. . https://doi.org/10.1109/ICSMC.2012.6378098

Wireless Body Sensor Networks (WBSNs) have proved to be a suitable technology for supporting the monitoring of physical and physiological activities of the human body. However, avoiding erroneous behavior of WBSN-based systems is an issue of fundamen... Read More about Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks.

Quality of experience management for video streams: The case of Skype (2012)
Conference Proceeding
Liotta, A., Druda, L., Menkovski, V., & Exarchakos, G. (2012). Quality of experience management for video streams: The case of Skype. In MoMM '12 Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia (84-92). https://doi.org/10.1145/2428955.2428977

With the widespread adoption of mobile Internet, the process of streaming video has become varied and complex. A diversity of factors affect the way we perceive quality in video streaming (also known as 'quality of experience', or QoE), involving far... Read More about Quality of experience management for video streams: The case of Skype.

Exploiting machine learning for intelligent room lighting applications (2012)
Conference Proceeding
Gopalakrishna, A., Özçelebi, T., Liotta, A., & Lukkien, J. (2012). Exploiting machine learning for intelligent room lighting applications. . https://doi.org/10.1109/IS.2012.6335169

Research has shown that environment lighting influences the behavior of the employees in an office setting highly, making lighting configuration in an office space crucial. A breakout area may be used by the employees for various activities that need... Read More about Exploiting machine learning for intelligent room lighting applications.

Treatment of missing data in intelligent lighting applications (2012)
Conference Proceeding
Kota Gopalakrishna, A., Özçelebi, T., Liotta, A., & Lukkien, J. (2012). Treatment of missing data in intelligent lighting applications. . https://doi.org/10.1109/UIC-ATC.2012.135

The concept of intelligent lighting facilitates the use of machine learning models to adapt the lighting application behavior based on changing context. Ideally, a complete dataset without missing values is used to train the learning algorithm. Never... Read More about Treatment of missing data in intelligent lighting applications.

A wireless mesh communication protocol for smart-metering (2012)
Conference Proceeding
Geelen, D., Van Kempen, G., Van Hoogstraten, F., & Liotta, A. (2012). A wireless mesh communication protocol for smart-metering. . https://doi.org/10.1109/ICCNC.2012.6167440

Worldwide there has been increasing interest over the past few years for so-called “Smart Meters”, in academia, governments and in industry. Such smart-metering systems need a way to communicate the collected data reliably and cost efficiently to the... Read More about A wireless mesh communication protocol for smart-metering.

An autonomic plane for wireless body sensor networks (2012)
Conference Proceeding
Fortino, G., Galzarano, S., & Liotta, A. (2012). An autonomic plane for wireless body sensor networks. . https://doi.org/10.1109/ICCNC.2012.6167566

Wireless Body Sensor Networks (WBSN) have proved to be a potential technology for developing applications that can monitor and control physical and biochemical parameters on the human body. Developing such applications is rather cumbersome, since the... Read More about An autonomic plane for wireless body sensor networks.

Video quality degradation on IPTV networks (2012)
Conference Proceeding
Okyere-Benya, J., Aldiabat, M., Menkovski, V., Exarchakos, G., & Liotta, A. (2012). Video quality degradation on IPTV networks. . https://doi.org/10.1109/ICCNC.2012.6167513

In IPTV streaming, issues of entire frame losses limit the use of state-of-the-art video quality analyses techniques. We present an experimental evaluation of degradation in video quality when streaming different types of video in an IPTV scenario. T... Read More about Video quality degradation on IPTV networks.

Can Skype be used beyond video calling? (2011)
Conference Proceeding
Exarchakos, G., Menkovski, V., & Liotta, A. (2011). Can Skype be used beyond video calling?. In Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia (155-161). https://doi.org/10.1145/2095697.2095725

Skype nodes generate a substantial part of real-time bi-directional video traffic nowadays. Employing a range of adaptive mechanisms, the application configures video streaming to meet the requirements of the communication and constraints of the unde... Read More about Can Skype be used beyond video calling?.

Machine Learning approach for Quality of Experience aware networks (2010)
Conference Proceeding
Menkovski, V., Exarchakos, G., & Liotta, A. (2010). Machine Learning approach for Quality of Experience aware networks. . https://doi.org/10.1109/INCOS.2010.86

Efficient management of multimedia services necessitates the understanding of how the quality of these services is perceived by the users. Estimation of the perceived quality or Quality of Experience (QoE) of the service is a challenging process due... Read More about Machine Learning approach for Quality of Experience aware networks.

Estimations and remedies for Quality of Experience in multimedia streaming (2010)
Conference Proceeding
Menkovski, V., Exarchakos, G., Liotta, A., & Sánchez, A. (2010). Estimations and remedies for Quality of Experience in multimedia streaming. . https://doi.org/10.1109/CENTRIC.2010.14

Managing multimedia network services in a User-centric manner provides for more delivered quality to the users, whilst maintaining a limited footprint on the network resources. For efficient User-centric management it is imperative to have a precise... Read More about Estimations and remedies for Quality of Experience in multimedia streaming.

Online QoE prediction (2010)
Conference Proceeding
Menkovski, V., Exarchakos, G., & Liotta, A. (2010). Online QoE prediction. . https://doi.org/10.1109/QOMEX.2010.5517692

The Quality of Experience (QoE) is an irreplaceable metric for evaluating the perceived quality of consumers of multimedia content. Due to the subjectiveness of QoE the most suitable way to measure it is by executing subjective studies. However, exec... Read More about Online QoE prediction.

2nd International Conference on Advances in Multimedia, MMEDIA 2010: Preface (2010)
Conference Proceeding
Böszörmenyi, L., Burdescu, D., Davis, P., Stanchev, P., Fotouhi, F., Liotta, A., …Spielvogel, C. (2010). 2nd International Conference on Advances in Multimedia, MMEDIA 2010: Preface. . https://doi.org/10.1109/MMEDIA.2010.4

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.