Stefanos Gkikas

21 papers C 1Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
GIAFormer: A Gradient-Infused Attention and Transformer for Pain Assessment with EDA-fNIRS Fusion.
Inf. Fusion
Muhammad Umar Khan, Girija Chetty, Stefanos Gkikas, Manolis Tsiknakis, Roland Goecke, Raul Fernandez Rojas
2025 J jnl
A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods.
CoRR
Stefanos Gkikas
2025 — conf
Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline.
ICMI Companion
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
2025 J jnl
Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline.
CoRR
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
2025 — conf
Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Image.
ICMI Companion
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
2025 J jnl
Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Image.
CoRR
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
2025 J jnl
Pain Assessment Using Multi-Kernel-FCN-LSTM and Haemoglobin Difference in fNIRS.
ACM Trans. Comput. Heal.
Ghazal Bargshady, Sumair Aziz, Stefanos Gkikas, Manolis Tsiknakis, Roland Goecke, Raul Fernandez Rojas
2025 J jnl
PainFormer: A Vision Foundation Model for Automatic Pain Assessment.
IEEE Trans. Affect. Comput.
Stefanos Gkikas, Raul Fernandez Rojas, Manolis Tsiknakis
2025 J jnl
PainFormer: a Vision Foundation Model for Automatic Pain Assessment.
CoRR
Stefanos Gkikas, Raul Fernandez Rojas, Manolis Tsiknakis
2025 — conf
Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis.
ICMI Companion
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
2025 J jnl
Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis.
CoRR
Stefanos Gkikas, Ioannis Kyprakis, Manolis Tsiknakis
2024 J jnl
A Full Transformer-based Framework for Automatic Pain Estimation using Videos.
CoRR
Stefanos Gkikas, Manolis Tsiknakis
2024 J jnl
Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors.
CoRR
Stefanos Gkikas, Chariklia Chatzaki, Manolis Tsiknakis
2024 — conf
Synthetic Thermal and RGB Videos for Automatic Pain Assessment Utilizing a Vision-MLP Architecture.
ACII (Workshops and Demos)
Stefanos Gkikas, Manolis Tsiknakis
2024 J jnl
Synthetic Thermal and RGB Videos for Automatic Pain Assessment utilizing a Vision-MLP Architecture.
CoRR
Stefanos Gkikas, Manolis Tsiknakis
2024 — conf
Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment Using Facial Videos and fNIRS.
ACII (Workshops and Demos)
Stefanos Gkikas, Manolis Tsiknakis
2024 J jnl
Twins-PainViT: Towards a Modality-Agnostic Vision Transformer Framework for Multimodal Automatic Pain Assessment using Facial Videos and fNIRS.
CoRR
Stefanos Gkikas, Manolis Tsiknakis
2023 — conf
A Full Transformer-based Framework for Automatic Pain Estimation using Videos.
EMBC
Stefanos Gkikas, Manolis Tsiknakis
2023 J jnl
Automatic assessment of pain based on deep learning methods: A systematic review.
Comput. Methods Programs Biomed.
Stefanos Gkikas, Manolis Tsiknakis
2022 C conf
Automatic Pain Intensity Estimation based on Electrocardiogram and Demographic Factors.
ICT4AWE
Stefanos Gkikas, Chariklia Chatzaki, Elisavet Pavlidou, Foteini Verigou, Kyriakos Kalkanis, Manolis Tsiknakis
2022 — conf
Multi-task Neural Networks for Pain Intensity Estimation Using Electrocardiogram and Demographic Factors.
ICT4AWE (Revised Selected Papers)
Stefanos Gkikas, Chariklia Chatzaki, Manolis Tsiknakis