402 citations · 495 across the 6 of their papers we have counts for
7 papers
An Exploration of Agentic Information Fusion for Test Maintenance Prediction
Jingxiong Liu, Nasser Mohammadiha, Gregory Gay
Test maintenance is a critical, yet costly, activity - particularly as codebases rapidly evolve. To assist, we present MAST, a multi-agent framework that predicts which test cases…
Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes
Jingxiong Liu, Ludvig Lemner, Linnea Wahlgren +3
Much of the cost and effort required during the software testing process is invested in performing test maintenance - the addition, removal, or modification of test cases to keep t…
Nonnegative HMM for Babble Noise Derived from Speech HMM: Application to Speech Enhancement
Nasser Mohammadiha, Arne Leijon
Deriving a good model for multitalker babble noise can facilitate different speech processing algorithms, e.g. noise reduction, to reduce the so-called cocktail party difficulty. I…
Speech Dereverberation Using Nonnegative Convolutive Transfer Function and Spectro temporal Modeling
Nasser Mohammadiha, Simon Doclo
This paper presents two single channel speech dereverberation methods to enhance the quality of speech signals that have been recorded in an enclosed space. For both methods, the r…
Road Friction Estimation for Connected Vehicles using Supervised Machine Learning
Ghazaleh Panahandeh, Erik Ek, Nasser Mohammadiha
In this paper, the problem of road friction prediction from a fleet of connected vehicles is investigated. A framework is proposed to predict the road friction level using both his…
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
Nasser Mohammadiha, Paris Smaragdis, Arne Leijon
Reducing the interference noise in a monaural noisy speech signal has been a challenging task for many years. Compared to traditional unsupervised speech enhancement methods, e.g.,…
Imitation Learning for Vision-based Lane Keeping Assistance
Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh +2
This paper aims to investigate direct imitation learning from human drivers for the task of lane keeping assistance in highway and country roads using grayscale images from a singl…