activity
20202026
most citedGameVibe: A Multimodal Affective Game Corpus

11 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

physics.ao-ph2026

Toward Artificial Intelligence Enabled Earth System Coupling

Maria Kaselimi, Anna Belehaki

Coupling constitutes a foundational mechanism in the Earth system, regulating the interconnected physical, chemical, and biological processes that link its spheres. This review exa…

cs.HC2024★ 1 cited

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors

Niels Justesen, Maria Kaselimi, Sam Snodgrass +12

Artificial intelligence (AI) has enabled agents to master complex video games, from first-person shooters like Counter-Strike to real-time strategy games such as StarCraft II and r…

cs.HC2024★ 11 cited

GameVibe: A Multimodal Affective Game Corpus

Matthew Barthet, Maria Kaselimi, Kosmas Pinitas +3

As online video and streaming platforms continue to grow, affective computing research has undergone a shift towards more complex studies involving multiple modalities. However, th…

eess.IV2022

Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques

Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi +2

Diabetic foot ulcers (DFUs) constitute a serious complication for people with diabetes. The care of DFU patients can be substantially improved through self-management, in order to…

cs.LG2022

Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring

Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos +2

Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine lea…

cs.LG2021

Machine learning methods for modelling and analysis of time series signals in geoinformatics

Maria Kaselimi

In this dissertation is provided a comparative analysis that evaluates the performance of several deep learning (DL) architectures on a large number of time series datasets of diff…

cs.LG2021

Assessing the Lockdown Effects on Air Quality during COVID-19 Era

Ioannis Kavouras, Eftychios Protopapadakis, Maria Kaselimia +2

In this work we investigate the short-term variations in air quality emissions, attributed to the prevention measures, applied in different cities, to mitigate the COVID-19 spread.…

eess.SP2020

Creating a Baseline for Robust Energy Savings Estimation in Households

Eftychios Protopapadakis, Anastasia Garbi, Anna Malamou +7

In this paper we present a methodology appropriate for establishing a user-specific hourly-based benchmark period of energy consumption. Such values can be used as reference for ex…