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pro vyhledávání: '"Vlahavas, Ioannis"'
A successful tactic that is followed by the scientific community for advancing AI is to treat games as problems, which has been proven to lead to various breakthroughs. We adapt this strategy in order to study Rocket League, a widely popular but rath
Externí odkaz:
http://arxiv.org/abs/2305.15801
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
Autor:
Stylianou, Nikolaos, Vlahavas, Ioannis
Language Models are the underpin of all modern Natural Language Processing (NLP) tasks. The introduction of the Transformers architecture has contributed significantly into making Language Modeling very effective across many NLP task, leading to sign
Externí odkaz:
http://arxiv.org/abs/2111.02687
Publikováno v:
Neurocomputing 497 (2022) 86-93
Deep Reinforcement Learning (Deep RL) has been in the spotlight for the past few years, due to its remarkable abilities to solve problems which were considered to be practically unsolvable using traditional Machine Learning methods. However, even sta
Externí odkaz:
http://arxiv.org/abs/2110.05128
Autor:
Stylianou, Nikolaos, Vlahavas, Ioannis
In the last decade, the field of Neural Language Modelling has witnessed enormous changes, with the development of novel models through the use of Transformer architectures. However, even these models struggle to model long sequences due to memory co
Externí odkaz:
http://arxiv.org/abs/2011.05431
Multi-target regression is concerned with the prediction of multiple continuous target variables using a shared set of predictors. Two key challenges in multi-target regression are: (a) modelling target dependencies and (b) scalability to large outpu
Externí odkaz:
http://arxiv.org/abs/2003.09896
Publikováno v:
Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), http://ceur-ws.org/Vol-2659/ [p.17-24]
Towards a future where machine learning systems will integrate into every aspect of people's lives, researching methods to interpret such systems is necessary, instead of focusing exclusively on enhancing their performance. Enriching the trust betwee
Externí odkaz:
http://arxiv.org/abs/1911.08780
Autor:
Stylianou, Nikolaos, Vlahavas, Ioannis
Publikováno v:
Expert Systems with Applications, Volume 168, 15 April 2021, 114466
Entity Coreference Resolution is the task of resolving all mentions in a document that refer to the same real world entity and is considered as one of the most difficult tasks in natural language understanding. It is of great importance for downstrea
Externí odkaz:
http://arxiv.org/abs/1910.09329
Publikováno v:
In Knowledge-Based Systems 22 December 2022 258
Publikováno v:
In Neurocomputing 1 August 2022 497:86-93