Doctor Adarsh Valoor | University of Southampton

Publications

8 publications

Page 1 of 1

Unveiling the decision making process in Alzheimer's disease diagnosis: a case-based counterfactual methodology for explainable deep learning

Adarsh Valoor & G.R. Gangadharan, 2025, Journal of Neuroscience Methods, 413

DOI: 10.1016/j.jneumeth.2024.110318

Type: article

Advancing Trustworthy Artificial Intelligence

Aled Lloyd Owen, Gopal Ramchurn, Prokar Dasgupta, Shuang Ao, Pepita Barnard, Jayati Deshmukh, Isabela Parisio, Lokesh Singh, Adarsh Valoor, Maria Waheed, Bertrand Braunschweig, Karla Quintero, Maximilian Poretschkin, Ben Hawes & Foutse Khomh, 2025

DOI: 10.5258/RAi/003

Type: conference

Frameworks and Toolkits for Assuring Responsible AI

Gopal Ramchurn, Aled Lloyd Owen, Shuang Ao, Pepita Barnard, Aislinn Gomez Bergin, Isabela Parisio, Adarsh Valoor, Maria Waheed, Carolyn Ten Holter, Virginia Portillo, Rob Procter, Paul Batterham, John Downer, Peter Winter, Joshua Krook, Jan Blockx, Bertrand Braunschweig, Karla Quintero, Maximilian Poretschkin, Daniel Becker, Emily Campbell-Ratcliffe, Ben Hawes, Patricia Shaw, Reema Patel, Ashish Tewari, Alec Thomas, Paul Duncan & Eliot Gillings, 2025

DOI: 10.5258/RAi/002

Type: bookChapter

Next-Generation Phosgene Detection

Ramakrishnan AbhijnaKrishna, Adarsh Valoor, Shu Pao Wu & Sivan Velmathi, 2024, Industrial and Engineering Chemistry Research, 64(3), 1405-1415

DOI: 10.1021/acs.iecr.4c03836

Type: article

Mental stress detection from ultra-short heart rate variability using explainable graph convolutional network with network pruning and quantisation

V. Adarsh & G.R. Gangadharan, 2024, Machine Learning, 113(8), 5467-5494

DOI: 10.1007/s10994-023-06504-9

Type: article

Multimodal classification of Alzheimer's disease and mild cognitive impairment using custom MKSCDDL kernel over CNN with transparent decision-making for explainable diagnosis

V. Adarsh, G.R. Gangadharan, Ugo Fiore & Paolo Zanetti, 2024, Scientific Reports, 14(1)