12 citations · 19 across the 9 of their papers we have counts for
9 papers
Exploring the correlation between the type of music and the emotions evoked: A study using subjective questionnaires and EEG
Jelizaveta Jankowska, Bożena Kostek, Fernando Alonso-Fernandez +1
The subject of this work is to check how different types of music affect human emotions. While listening to music, a subjective survey and brain activity measurements were carried…
Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
Jiaxiang Liu, Jiawei Du, Xiao Liu +2
Pre-trained vision-language models (VLMs) such as CLIP have demonstrated strong zero-shot capabilities across diverse domains, yet remain highly vulnerable to adversarial perturbat…
Overtake Detection in Trucks Using CAN Bus Signals: A Comparative Study of Machine Learning Methods
Fernando Alonso-Fernandez, Talha Hanif Butt, Prayag Tiwari
Safe overtaking manoeuvres in trucks are vital for preventing accidents and ensuring efficient traffic flow. Accurate prediction of such manoeuvres is essential for Advanced Driver…
FinTeamExperts: Role Specialized MOEs For Financial Analysis
Yue Yu, Prayag Tiwari
Large Language Models (LLMs), such as ChatGPT, Phi3 and Llama-3, are leading a significant leap in AI, as they can generalize knowledge from their training to new tasks without fin…
Combined CNN and ViT features off-the-shelf: Another astounding baseline for recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Prayag Tiwari +1
We apply pre-trained architectures, originally developed for the ImageNet Large Scale Visual Recognition Challenge, for periocular recognition. These architectures have demonstrate…
Deep Network Pruning: A Comparative Study on CNNs in Face Recognition
Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio +2
The widespread use of mobile devices for all kinds of transactions makes necessary reliable and real-time identity authentication, leading to the adoption of face recognition (FR)…
Predicting Overtakes in Trucks Using CAN Data
Talha Hanif Butt, Prayag Tiwari, Fernando Alonso-Fernandez
Safe overtakes in trucks are crucial to prevent accidents, reduce congestion, and ensure efficient traffic flow, making early prediction essential for timely and informed driving d…
Climate Change from Large Language Models
Hongyin Zhu, Prayag Tiwari
Climate change poses grave challenges, demanding widespread understanding and low-carbon lifestyle awareness. Large language models (LLMs) offer a powerful tool to address this cri…
Towards Subject Agnostic Affective Emotion Recognition
Amit Kumar Jaiswal, Haiming Liu, Prayag Tiwari
This paper focuses on affective emotion recognition, aiming to perform in the subject-agnostic paradigm based on EEG signals. However, EEG signals manifest subject instability in s…