2 citations · 2 across the 10 of their papers we have counts for
10 papers
MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation
Blessed Guda, Kayley Sze, Carlee Joe-Wong
Recent advances in machine learning have enabled training of wireless foundation models, which aim to support tasks such as channel estimation, beam prediction, and localization ba…
Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
Samuel Johnny, Blessed Guda, Goodness Obasi +2
Automated diagnosis from chest computed tomography (CT) scans faces two persistent challenges in clinical deployment: distribution shift across acquisition sites and performance di…
M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
Blessed Guda, Carlee Joe-Wong
The rise of 5G/6G network technologies promises to enable applications like autonomous vehicles and virtual reality, resulting in a significant increase in connected devices and ne…
Pose-Based Sign Language Spotting via an End-to-End Encoder Architecture
Samuel Ebimobowei Johnny, Blessed Guda, Emmanuel Enejo Aaron +1
Automatic Sign Language Recognition (ASLR) has emerged as a vital field for bridging the gap between deaf and hearing communities. However, the problem of sign-to-sign retrieval or…
Quantifying and Mitigating Selection Bias in LLMs: A Transferable LoRA Fine-Tuning and Efficient Majority Voting Approach
Blessed Guda, Lawrence Francis, Gabrial Zencha Ashungafac +2
Multiple Choice Question (MCQ) answering is a widely used method for evaluating the performance of Large Language Models (LLMs). However, LLMs often exhibit selection bias in MCQ t…
AutoSign: Direct Pose-to-Text Translation for Continuous Sign Language Recognition
Samuel Ebimobowei Johnny, Blessed Guda, Andrew Blayama Stephen +1
Continuously recognizing sign gestures and converting them to glosses plays a key role in bridging the gap between the hearing and hearing-impaired communities. This involves recog…
AmaSQuAD: A Benchmark for Amharic Extractive Question Answering
Nebiyou Daniel Hailemariam, Blessed Guda, Tsegazeab Tefferi
This research presents a novel framework for translating extractive question-answering datasets into low-resource languages, as demonstrated by the creation of the AmaSQuAD dataset…
HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning
Pamely Zantou, Blessed Guda, Bereket Retta +3
Birth Apshyxia (BA) is a severe condition characterized by insufficient supply of oxygen to a newborn during the delivery. BA is one of the primary causes of neonatal death in the…
Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
Lawrence Francis, Blessed Guda, Ahmed Biyabani
In reinforcement learning-based (RL-based) traffic signal control (TSC), decisions on the signal timing are made based on the available information on vehicles at a road intersecti…
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shuffling
Blessed Guda, Gabrial Zencha Ashungafac, Lawrence Francis +1
Large Language models (LLMs) have brought about substantial advancements in the field of Question Answering (QA) systems. These models do remarkably well in addressing intricate in…