Researcher
Kyriakos Efthymiadis
- Keywords:Computer science (incl. applied informatics)
- Disciplines:Machine learning and decision making, Computer vision, Adaptive agents and intelligent robotics
Affiliations
- Artificial Intelligence (Research group)
Member
From15 Apr 2018 → Today - Informatics and Applied Informatics (Department)
Member
From1 Oct 2022 → Today - Informatics and Applied Informatics (Department)
Member
From8 Apr 2019 → Today - Informatics and Applied Informatics (Department)
Member
From1 Dec 2018 → 20 Oct 2022 - Informatics and Applied Informatics (Department)
Member
From1 Dec 2018 → 30 Sep 2019 - Informatics and Applied Informatics (Department)
Member
From15 Apr 2015 → 20 Oct 2022
Projects
1 - 2 of 2
- SBO Project: CTRL schemes merged with eXplainable AI for t(h)rustworthy control of physical dynamic systems (CTRLxAI=T(H)RUST)From1 Oct 2022 → TodayFunding: FWO Strategic Basic Research (SBO)
- Connect 2022: AI4WATSAF: Artificial Intelligence based tool for Water SafetyFrom1 Jan 2022 → 31 Mar 2022Funding: Brussels Capital Region
Publications
1 - 10 of 21
- Tree species mapping in the Brussels Capital Region using deep learning and data fusion(2023)Series: 2023 Joint Urban Remote Sensing Event, JURSE 2023
Authors: Robbe Neyns, Frank Canters, Pieter Libin, Kyriakos Efthymiadis
Pages: 1-4Number of pages: 4 - Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm(2023)
Authors: Leander Schietgat, Bertrand Cuissart, Kurt De Grave, Kyriakos Efthymiadis, Ronan Bureau, Bruno Crémilleux, Jan Ramon, Alban Lepailleur
- A Framework for Flexibly Guiding Learning Agents(2022)
Authors: Mahmoud Elbarbari, Florent Delgrange, Ivo Vervlimmeren, Kyriakos Efthymiadis, Bram Vanderborght, Ann Nowe
Pages: 1-17 - Convolutional neural network for automated peak detection in reversed-phase liquid chromatography(2022)
Authors: Alexander Kensert, Emery Bosten, Gilles Collaerts, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, Deirdre Cabooter
- Deep learning for biosignal control(2022)
Authors: Arnau Dillen, Denis Steckelmacher, Kyriakos Efthymiadis, Kevin Langlois, Albert De Beir, Uros Marusic, Bram Vanderborght, Ann Nowe, Romain Meeusen, Fakhreddine Ghaffari, et al.
- Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data(2021)
Authors: Alexander Kensert, Robbin Bouwmeester, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, Deirdre Cabooter
Pages: 15633-15641 - Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms(2021)
Authors: Alexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, Peter Van Broeck, Gert Desmet, Deirdre Cabooter
- LTLf-based Reward Shaping for Reinforcement Learning(2021)
Authors: Mahmoud Elbarbari, Kyriakos Efthymiadis, Bram Vanderborght, Ann Nowe
Number of pages: 6 - Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography(2021)
Authors: Alexander Kensert, Gilles Collaerts, Kyriakos Efthymiadis, Gert Desmet, Deirdre Cabooter
- Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separations(2020)
Authors: Bram Huygens, Kyriakos Efthymiadis, Ann Nowe, Gert Desmet