3 papers
cs.CV2026
SLUM-i: Semi-supervised Learning for Urban Mapping of Informal Settlements and Data Quality Benchmarking
Muhammad Taha Mukhtar, Syed Musa Ali Kazmi, Khola Naseem +5
Very-high-resolution remote-sensing imagery provides a scalable basis for delineating informal settlements, but sparse annotations, severe imbalance between informal-settlement and…
cs.AI2026
E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability
Hasib Aslam, Muhammad Ali Chattha, Muhammad Taha Mukhtar +3
TCAV (Testing with Concept Activation Vectors) is an interpretability method that assesses the alignment between the internal representations of a trained neural network and human-…
q-bio.QM2025
iBitter-Stack: A Multi-Representation Ensemble Learning Model for Accurate Bitter Peptide Identification
Sarfraz Ahmad, Momina Ahsan, Muhammad Nabeel Asim +2
The identification of bitter peptides is crucial in various domains, including food science, drug discovery, and biochemical research. These peptides not only contribute to the und…