Dialogue-Based Information Retrieval. - Abhishek Kaushik 002 (ECIR (2), 2019)

DCU at the TREC 2019 Conversational Assistance Track. - Piyush Arora; Abhishek Kaushik 002; Gareth J. F. Jones (TREC, 2019)

Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach. - Gagandeep Kaur; Abhishek Kaushik 002; Shubham Sharma 004 (Big Data Cogn. Comput., 2019)

Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining. - Sonali Rajesh Shah; Abhishek Kaushik 002 (CoRR, 2019)

An Interface for Agent Supported Conversational Search. - Abhishek Kaushik 002; Vishal Bhat Ramachandra; Gareth J. F. Jones (CHIIR, 2020)

DCU at the FIRE 2020 Retrieval from Conversational Dialogues (RCD) task. - Abhishek Kaushik 002; Vishal Bhat Ramachandra; Gareth J. F. Jones (FIRE (Working Notes), 2020)

Skills Gap is a Reflection of What We Value: A Reinforcement Learning Interactive Conceptual Skill Development Framework for Indian University. - Pankaj Velavan; Billy Jacob; Abhishek Kaushik 002 (IHCI (1), 2020)

An Investigative Study of Multi-Modal Cross-Lingual Retrieval. - Piyush Arora; Dimitar Sht. Shterionov; Yasufumi Moriya; Abhishek Kaushik 002; Daria Dzendzik; Gareth J. F. Jones (CLSSTS@LREC, 2020)

Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models. - Sonali Rajesh Shah; Abhishek Kaushik 002; Shubham Sharma 004; Janice Shah (Big Data Cogn. Comput., 2020)

Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code). - Subramaniam Kazhuparambil; Abhishek Kaushik 002 (CoRR, 2020)

Multi-view Conversational Search Interface Using a Dialogue-Based Agent. - Abhishek Kaushik 002; Nicolas Loir; Gareth J. F. Jones (ECIR (2), 2021)

A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces. - Abhishek Kaushik 002; Gareth J. F. Jones (CoRR, 2021)

Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search. - Abhishek Kaushik 002; Gareth J. F. Jones (CoRR, 2021)

Communication is the universal solvent: atreya bot - an interactive bot for chemical scientists. - Mahak Sharma; Abhishek Kaushik 002; Rajesh Kumar; Sushant Kumar Rai; Harshada Hanumant Desai; Sargam Yadav (CoRR, 2021)

Comparing User Experience in Search Interaction for Conversational and Conventional Search Systems using Implicit Evaluation Methods (prototype). - Abhishek Kaushik 002; Gareth Jones (DESIRES, 2022)

Comparing Conventional and Conversational Search Interaction Using Implicit Evaluation Methods. - Abhishek Kaushik 002; Gareth J. F. Jones (VISIGRAPP (2: HUCAPP), 2023)

Examining the Potential for Conversational Exploratory Search Using a Smart Speaker Digital Assistant. - Abhishek Kaushik 002; Gareth J. F. Jones (VISIGRAPP (2: HUCAPP), 2023)

Hate Speech is not Free Speech: Explainable Machine Learning for Hate Speech Detection in Code-Mixed Languages. - Sargam Yadav; Abhishek Kaushik 002; Kevin McDaid (ISTAS, 2023)

The Future of Agriculture: Analysing User Sentiment on Smart Farming with Explainable Artificial Intelligence. - Sargam Yadav; Abhishek Kaushik 002; Shubham Sharma 004; Kevin McDaid (ISTAS, 2023)

Understanding Interpretability: Explainable AI Approaches for Hate Speech Classifiers. - Sargam Yadav; Abhishek Kaushik 002; Kevin McDaid (xAI (3), 2023)

Unveiling Public Perceptions: Machine Learning-Based Sentiment Analysis of COVID-19 Vaccines in India. - Milind Gupta; Abhishek Kaushik 002 (CoRR, 2023)

Disruptive technologies for smart farming in developing countries: Tomato leaf disease recognition systems based on machine learning. - Ravichandra Reddy Kovvuri; Abhishek Kaushik 002; Sargam Yadav (Electron. J. Inf. Syst. Dev. Ctries., 2023)

Mitigating Bias in Medical Datasets: A Comparative Analysis of Generative Adversarial Networks (GANs) Based Data Generation Techniques. - Mohamed Ashik Shahul Hameed; Asifa Mehmood Qureshi; Abhishek Kaushik 002 (AICS, 2024)

Handling Class Imbalance via Counterfactual Generation in Medical Datasets. - Asifa Mehmood Qureshi; Abhishek Kaushik 002; Gilbert Regan; Kevin McDaid; Fergal McCaffery (AICS, 2024)

Data Poisoning Attacks in the Training Phase of Machine Learning Models: A Review. - Mugdha Srivastava; Abhishek Kaushik 002; Róisín Loughran; Kevin McDaid (AICS, 2024)

Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running. - Pranay Jaiswal; Abhishek Kaushik 002; Fiona Lawless; Tiago De Melo Malaquias; Fergal McCaffery (IDEAL (1), 2024)

Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models. - Sargam Yadav; Abhishek Kaushik 002; Kevin McDaid (CoRR, 2024)

Exploratory Data Analysis on Code-mixed Misogynistic Comments. - Sargam Yadav; Abhishek Kaushik 002; Kevin McDaid (CoRR, 2024)

Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations. - Abhishek Kaushik 002; Kayla Rush (CoRR, 2024)

"Real impact": Challenges and opportunities in bridging the gap between research and practice - Making a difference in industry, policy, and society. - Yogesh K. Dwivedi; Anand Jeyaraj; Laurie Hughes; Gareth H. Davies; Manju Ahuja; Mousa Ahmed Albashrawi; Adil S. Al-Busaidi; Salah A. Al-Sharhan; Khalid Ibrahim Al-Sulaiti; Levent Altinay; Shem Amalaya; Sunil Archak; et al. (Int. J. Inf. Manag., 2024)

Harvesting Insights: Sentiment Analysis on Smart Farming YouTube Comments for User Engagement and Agricultural Innovation. - Abhishek Kaushik 002; Sargam Yadav; Shubham Sharma 004; Kevin McDaid (IEEE Technol. Soc. Mag., 2024)

Comparison of Machine Learning and Deep Learning Models for Change of Direction Classification Using Engineered Features. - Pranay Jaiswal; Abhishek Kaushik 002; Fiona Lawless; Tiago De Melo Malaquias; Fergal McCaffery (AIAI (2), 2025)

BCONDS: Borderline Counterfactual Oversampling with Noise Elimination and Density Scoring. - Asifa Mehmood Qureshi; Abhishek Kaushik 002; Róisín Loughran; Fergal McCaffery (AIiH (1), 2025)

Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis. - Abhishek Kaushik 002; Sargam Yadav; Andrew Browne; David Lillis; David Williams; Jack Mc Donnell; Peadar Grant; Siobhan Connolly Kernan; Shubham Sharma 004; Mansi Arora (CoRR, 2025)

From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development - An Opinion Paper. - Sargam Yadav; Asifa Mehmood Qureshi; Abhishek Kaushik 002; Shubham Sharma 004; Róisín Loughran; Subramaniam Kazhuparambil; Andrew Shaw; Mohammed Sabry; Niamh St John Lynch; Nikhil Singh 012; Padraic O'Hara; Pranay Jaiswal; et al. (CoRR, 2025)