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From the 1 of 13 linked papers with an AI index.

collaborators

13 papers

cs.LG2026

NanoSleep: A Parameter-Efficient Hybrid Temporal Convolutional Network for Single-Channel Sleep Stage Classification

S M Asif Hossain, Shruti Kshirsagar

Sleep stage classification from single-channel electroencephalography (EEG) is essential for wearable and home-based sleep monitoring. However, many deep learning models achieve hi…

cs.CL2026

How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?

Elmira Salari, Hazem Amamou, José Victor de Souza +3

The paper investigates how the sampling temperature of large language models influences the transfer of ideological discourses from retrieved COVID‑19 treatment articles in Retriev…

cs.SD2026

What You Train Is What You Get: Gender Bias, Training Composition, and Post-Hoc Mitigation in Audio Deepfake Detection

Aishwarya R. Fursule, Vamshi Nallaguntla, Shruti Kshirsagar +1

Audio deepfake detection models determine whether speech is genuine or artificially generated, but high overall accuracy can mask substantial performance disparities across demogra…

cs.CV2026

InfiltrNet: Dual-Branch CNN-Transformer Architecture for Brain Tumor Infiltration Risk Prediction

S M Asif Hossain, Shruti Kshirsagar

Gliomas are aggressive brain tumors that infiltrate surrounding tissue beyond the visible tumor margins observed on Magnetic Resonance Imaging (MRI). Predicting the spatial extent…

cs.SD2026

Towards Trustworthy Audio Deepfake Detection: A Systematic Framework for Diagnosing and Mitigating Gender Bias

Aishwarya Fursule, Shruti Kshirsagar, Anderson R. Avila

Audio deepfake detection systems are increasingly deployed in high-stakes security applications, yet their fairness across demographic groups remains critically underexamined. Prio…

cs.CV2026

Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation

Asmae Mouradi, Shruti Kshirsagar

Rapid structural damage assessment from remote sensing imagery is essential for timely disaster response. Within human-machine systems (HMS) for disaster management, automated dama…