13 citations · 25 across the 15 of their papers we have counts for
17 papers
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction
Eleni Giovanoudi, Dimitrios Rafailidis
The Complementarity Determining Region (CDR) structure prediction of loops in antibody engineering has gained a lot of attraction by researchers. When designing antibodies, a main…
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events
Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
In this study, we present a meta-learning model to adapt the predictions of the network's capacity between viewers who participate in a live video streaming event. We propose the M…
Sequence Adaptation via Reinforcement Learning in Recommender Systems
Stefanos Antaris, Dimitrios Rafailidis
Accounting for the fact that users have different sequential patterns, the main drawback of state-of-the-art recommendation strategies is that a fixed sequence length of user-item…
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming
Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
In this paper we present a deep graph reinforcement learning model to predict and improve the user experience during a live video streaming event, orchestrated by an agent/tracker.…
Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events
Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza
Nowadays, live video streaming events have become a mainstay in viewer's communication in large international enterprises. Provided that viewers are distributed worldwide, the main…
Adaptive Neural Architectures for Recommender Systems
Dimitrios Rafailidis, Stefanos Antaris
Deep learning has proved an effective means to capture the non-linear associations of user preferences. However, the main drawback of existing deep learning architectures is that t…