Stefanos Antaris

According to our database, Stefanos Antaris authored at least 19 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Enabling Enterprise Live Video Streaming with Reinforcement Learning and Graph Neural Networks.

Stefanos Antaris

PhD thesis, 2022

2021

Knowledge distillation on neural networks for evolving graphs.

Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas

Soc. Netw. Anal. Min., 2021

Sequence Adaptation via Reinforcement Learning in Recommender Systems.

Stefanos Antaris, Dimitrios Rafailidis

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events.

Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming.

Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Meta-reinforcement learning via buffering graph signatures for live video streaming events.

Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Adaptive Neural Architectures for Recommender Systems.

Dimitrios Rafailidis, Stefanos Antaris

CoRR, 2020

On Estimating the Training Cost of Conversational Recommendation Systems.

Stefanos Antaris, Dimitrios Rafailidis, Mohammad Aliannejadi

CoRR, 2020

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events.

Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions.

Stefanos Antaris, Dimitrios Rafailidis

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation.

Stefanos Antaris, Dimitrios Rafailidis

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2018

In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content.

Stefanos Antaris, Dimitrios Rafailidis

IEEE Trans. Big Data, 2018

SELECT: A Distributed Publish/Subscribe Notification System for Online Social Networks.

Nuno Apolónia, Stefanos Antaris, Sarunas Girdzijauskas, George Pallis, Marios D. Dikaiakos

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2015

Similarity Search over the Cloud Based on Image Descriptors' Dimensions Value Cardinalities.

Stefanos Antaris, Dimitrios Rafailidis

ACM Trans. Multim. Comput. Commun. Appl., 2015

A Socio-Aware Decentralized Topology Construction Protocol.

Stefanos Antaris, Despina Stasi, Mikael Högqvist, George Pallis, Marios D. Dikaiakos

Proceedings of the Third IEEE Workshop on Hot Topics in Web Systems and Technologies, 2015

Indexing media storms on Flink.

Dimitrios Rafailidis, Stefanos Antaris

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Link injection for boosting information spread in social networks.

Stefanos Antaris, Dimitrios Rafailidis, Alexandros Nanopoulos

Soc. Netw. Anal. Min., 2014

2012

Social networking trends and dynamics detection via a cloud-based framework design.

Athena Vakali, Maria Giatsoglou, Stefanos Antaris

Proceedings of the 21st World Wide Web Conference, 2012

2010

Hydra: an open framework for virtual-fusion of recommendation filters.

Savvas Karagiannidis, Stefanos Antaris, Christos Zigkolis, Athena Vakali

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010