Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network. - Shrivishal Tripathi; Ashish Upadhyay; Shashank Kotyan; Sandeep Yadav (Wirel. Pers. Commun., 2019)

WEC: Weighted Ensemble of Text Classifiers. - Ashish Upadhyay; Tien Thanh Nguyen; Stewart Massie; John A. W. McCall (CEC, 2020)

Case-Based Approach to Automated Natural Language Generation for Obituaries. - Ashish Upadhyay; Stewart Massie; Sean Clogher (ICCBR, 2020)

A Case-Based Approach to Data-to-Text Generation. - Ashish Upadhyay; Stewart Massie; Ritwik Kumar Singh; Garima Gupta; Muneendra Ojha (ICCBR, 2021)

Content Type Profiling of Data-to-Text Generation Datasets. - Ashish Upadhyay; Stewart Massie (COLING, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bernd Bohnet (EMNLP (Demos), 2022)

A Case-Based Approach for Content Planning in Data-to-Text Generation. - Ashish Upadhyay; Stewart Massie (ICCBR, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. - Kyle Martin; Ashish Upadhyay; Anjana Wijekoon; Nirmalie Wiratunga; Stewart Massie (ICCS (3), 2023)

CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation. - Ashish Upadhyay; Stewart Massie (ICCBR, 2023)

Generalized Grötzsch Graphs. - Ashish Upadhyay (CoRR, 2023)

News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring. - Adil Nygaard; Ashish Upadhyay; Lauren Hinkle; Xenia Skotti; Joe Halliwell; Ian Brown; Glen Noronha (EMNLP (Industry Track), 2024)