Stamos Katsigiannis — accepted AI-conference papers

2026

EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover

Ghadah Alosaimi, Maha Alsayyari, Yixin Sun, Stamos Katsigiannis, Amir Atapour-Abarghouei, Toby Breckon

ICRA 2026poster

Brain–computer interfaces (BCIs) provide a hands-free control modality for mobile robotics, yet decoding user intent during real-world navigation remains challenging. This work presents a brain–robot control framework for offline decoding of driving commands during robotic rover operation. A 4WD Rov…

Cited by 0 Source ↗PDF ↗Scholar ↗

2024

Evidence Retrieval for Fact Verification using Multi-stage Reranking

Shrikant Malviya, Stamos Katsigiannis

EMNLP 2024finding

In the fact verification domain, the accuracy and efficiency of evidence retrieval are paramount. This paper presents a novel approach to enhance the fact verification process through a Multi-stage ReRanking (M-ReRank) paradigm, which addresses the inherent limitations of single-stage evidence extra…

Cited by 3 Source ↗PDF ↗Scholar ↗

2022

SOS: Systematic Offensive Stereotyping Bias in Word Embeddings

Fatma Elsafoury, Steve R. Wilson, Stamos Katsigiannis, Naeem Ramzan

COLING 2022main

Systematic Offensive stereotyping (SOS) in word embeddings could lead to associating marginalised groups with hate speech and profanity, which might lead to blocking and silencing those groups, especially on social media platforms. In this [id=stk]work, we introduce a quantitative measure of the SOS…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗