Abhishek Kaushik

40 papers B 1C 2Journal 20Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Under-Explored Application for Explainable Multimodal Misogyny Detection in code-mixed Hindi-English.
CoRR
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
2026 J jnl
Improving medical data quality via synthetic data generation: a review.
Netw. Model. Anal. Health Informatics Bioinform.
Asifa Mehmood Qureshi, Abhishek Kaushik, Róisín Loughran, Kevin McDaid, Fergal McCaffery
2025 — conf
BCONDS: Borderline Counterfactual Oversampling with Noise Elimination and Density Scoring.
AIiH (1)
Asifa Mehmood Qureshi, Abhishek Kaushik, Róisín Loughran, Fergal McCaffery
2025 — conf
CRUD-Chain: A Brownie Based Medical Records Management System.
BCCA
Mugdha Srivastava, Abhishek Kaushik, Róisín Loughran
2025 — conf
Comparison of Machine Learning and Deep Learning Models for Change of Direction Classification Using Engineered Features.
AIAI (2)
Pranay Jaiswal, Abhishek Kaushik, Fiona Lawless, Tiago De Melo Malaquias, Fergal McCaffery
2025 J jnl
Exploring the Impact of Generative Artificial Intelligence in Education: A Thematic Analysis.
CoRR
Abhishek Kaushik, Sargam Yadav, Andrew Browne, David Lillis, David Williams, Jack Mc Donnell, Peadar Grant, Siobhan Connolly Kernan, Shubham Sharma, Mansi Arora
2025 J jnl
From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development - An Opinion Paper.
CoRR
Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Róisín Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis
2024 J jnl
"Real impact": Challenges and opportunities in bridging the gap between research and practice - Making a difference in industry, policy, and society.
Int. J. Inf. Manag.
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, María Teresa Ballestar, Shonil A. Bhagwat, Anandhi Bharadwaj, Amit Bhushan, Indranil Bose, Pawan Budhwar, Deborah Bunker, Alexandru Capatina, Lemuria D. Carter, Ioanna D. Constantiou, Crispin R. Coombs, Tom Crick, Csaba Csáki, Yves Darnige, Rahul Dé, Rick Delbridge, Rameshwar Dubey, Robin Gauld, Ravikumar Gutti, Marié Hattingh, Arve Haug, Leeya Hendricks, Airo Hino, Cathy H. C. Hsu, Netta Iivari, Marijn Janssen, Ikram Jebabli, Paul Jones, Iris A. Junglas, Abhishek Kaushik, Deepak Khazanchi, Mitsuru Kodama, Sascha Kraus, Vikram Kumar, Christian Maier, F. Tegwen Malik, Machdel Matthee, Ian P. McCarthy, Marco Meier, Bhimaraya A. Metri, Adrian Micu, Angela-Eliza Micu, Santosh K. Misra, Anubhav Mishra, Tonja Molin-Juustila, Leif Oppermann, Nicholas O'Regan, Abhipsa Pal, Neeraj Pandey, Ilias O. Pappas, Andrew Parker, Kavita Pathak, Daniel A. Pienta, Ariana Polyviou, Ramakrishnan Raman, Samuel Ribeiro-Navarrete, Paavo Ritala, Michael Rosemann, Suprateek Sarker, Pallavi Saxena, Daniel Schlagwein, Hergen Schultze, Chitra Sharma, Sujeet Kumar Sharma, Antonis C. Simintiras, Vinay Kumar Singh, Hanlie Smuts, John Soldatos, Manoj Kumar Tiwari, Jason Bennett Thatcher, Cristina Vanberghen, Ákos Varga, Polyxeni Vassilakopoulou, Viswanath Venkatesh, Giampaolo Viglia, Tim Vorley, Michael R. Wade, Paul Walton
2024 — conf
Data Poisoning Attacks in the Training Phase of Machine Learning Models: A Review.
AICS
Mugdha Srivastava, Abhishek Kaushik, Róisín Loughran, Kevin McDaid
2024 J jnl
Exploratory Data Analysis on Code-mixed Misogynistic Comments.
CoRR
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
2024 J jnl
Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations.
CoRR
Abhishek Kaushik, Kayla Rush
2024 — conf
Handling Class Imbalance via Counterfactual Generation in Medical Datasets.
AICS
Asifa Mehmood Qureshi, Abhishek Kaushik, Gilbert Regan, Kevin McDaid, Fergal McCaffery
2024 J jnl
Harvesting Insights: Sentiment Analysis on Smart Farming YouTube Comments for User Engagement and Agricultural Innovation.
IEEE Technol. Soc. Mag.
Abhishek Kaushik, Sargam Yadav, Shubham Sharma, Kevin McDaid
2024 J jnl
Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models.
CoRR
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
2024 — conf
Mitigating Bias in Medical Datasets: A Comparative Analysis of Generative Adversarial Networks (GANs) Based Data Generation Techniques.
AICS
Mohamed Ashik Shahul Hameed, Asifa Mehmood Qureshi, Abhishek Kaushik
2024 — conf
Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running.
IDEAL (1)
Pranay Jaiswal, Abhishek Kaushik, Fiona Lawless, Tiago De Melo Malaquias, Fergal McCaffery
2023 — conf
Comparing Conventional and Conversational Search Interaction Using Implicit Evaluation Methods.
VISIGRAPP (2: HUCAPP)
Abhishek Kaushik, Gareth J. F. Jones
2023 J jnl
Comparing Conventional and Conversational Search Interaction using Implicit Evaluation Methods.
CoRR
Abhishek Kaushik, Gareth J. F. Jones
2023 J jnl
Disruptive technologies for smart farming in developing countries: Tomato leaf disease recognition systems based on machine learning.
Electron. J. Inf. Syst. Dev. Ctries.
Ravichandra Reddy Kovvuri, Abhishek Kaushik, Sargam Yadav
2023 — conf
Examining the Potential for Conversational Exploratory Search Using a Smart Speaker Digital Assistant.
VISIGRAPP (2: HUCAPP)
Abhishek Kaushik, Gareth J. F. Jones
2023 J jnl
Examining the Potential for Conversational Exploratory Search using a Smart Speaker Digital Assistant.
CoRR
Abhishek Kaushik, Gareth J. F. Jones
2023 C conf
Hate Speech is not Free Speech: Explainable Machine Learning for Hate Speech Detection in Code-Mixed Languages.
ISTAS
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
2023 C conf
The Future of Agriculture: Analysing User Sentiment on Smart Farming with Explainable Artificial Intelligence.
ISTAS
Sargam Yadav, Abhishek Kaushik, Shubham Sharma, Kevin McDaid
2023 — conf
Understanding Interpretability: Explainable AI Approaches for Hate Speech Classifiers.
xAI (3)
Sargam Yadav, Abhishek Kaushik, Kevin McDaid
2023 J jnl
Unveiling Public Perceptions: Machine Learning-Based Sentiment Analysis of COVID-19 Vaccines in India.
CoRR
Milind Gupta, Abhishek Kaushik
2022 — conf
Comparing User Experience in Search Interaction for Conversational and Conventional Search Systems using Implicit Evaluation Methods (prototype).
DESIRES
Abhishek Kaushik, Gareth Jones
2021 J jnl
A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces.
CoRR
Abhishek Kaushik, Gareth J. F. Jones
2021 J jnl
Communication is the universal solvent: atreya bot - an interactive bot for chemical scientists.
CoRR
Mahak Sharma, Abhishek Kaushik, Rajesh Kumar, Sushant Kumar Rai, Harshada Hanumant Desai, Sargam Yadav
2021 J jnl
Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search.
CoRR
Abhishek Kaushik, Gareth J. F. Jones
2021 — conf
Multi-view Conversational Search Interface Using a Dialogue-Based Agent.
ECIR (2)
Abhishek Kaushik, Nicolas Loir, Gareth J. F. Jones
2020 B conf
An Interface for Agent Supported Conversational Search.
CHIIR
Abhishek Kaushik, Vishal Bhat Ramachandra, Gareth J. F. Jones
2020 — conf
An Investigative Study of Multi-Modal Cross-Lingual Retrieval.
CLSSTS@LREC
Piyush Arora, Dimitar Sht. Shterionov, Yasufumi Moriya, Abhishek Kaushik, Daria Dzendzik, Gareth J. F. Jones
2020 J jnl
Cooking Is All About People: Comment Classification On Cookery Channels Using BERT and Classification Models (Malayalam-English Mix-Code).
CoRR
Subramaniam Kazhuparambil, Abhishek Kaushik
2020 — conf
DCU at the FIRE 2020 Retrieval from Conversational Dialogues (RCD) task.
FIRE (Working Notes)
Abhishek Kaushik, Vishal Bhat Ramachandra, Gareth J. F. Jones
2020 J jnl
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models.
Big Data Cogn. Comput.
Sonali Rajesh Shah, Abhishek Kaushik, Shubham Sharma, Janice Shah
2020 — conf
Skills Gap is a Reflection of What We Value: A Reinforcement Learning Interactive Conceptual Skill Development Framework for Indian University.
IHCI (1)
Pankaj Velavan, Billy Jacob, Abhishek Kaushik
2019 J jnl
Cooking Is Creating Emotion: A Study on Hinglish Sentiments of Youtube Cookery Channels Using Semi-Supervised Approach.
Big Data Cogn. Comput.
Gagandeep Kaur, Abhishek Kaushik, Shubham Sharma
2019 — conf
DCU at the TREC 2019 Conversational Assistance Track.
TREC
Piyush Arora, Abhishek Kaushik, Gareth J. F. Jones
2019 — conf
Dialogue-Based Information Retrieval.
ECIR (2)
Abhishek Kaushik
2019 J jnl
Sentiment Analysis On Indian Indigenous Languages: A Review On Multilingual Opinion Mining.
CoRR
Sonali Rajesh Shah, Abhishek Kaushik