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Ashly Ann Jo
Ashly Ann Jo
Research Scholar,Indian Institute of Information Technology Kottayam, Kerala, India
Verified email at iiitkottayam.ac.in
Title
Cited by
Cited by
Year
Explainability to business: demystify transformer models with attention-based explanations
R Thiruthuvaraj, AA Jo, ED Raj
2023 2nd International Conference on Applied Artificial Intelligence and …, 2023
82023
Post hoc interpretability: Review on new frontiers of interpretable ai
A Ann Jo, E Deni Raj
Advances in Distributed Computing and Machine Learning: Proceedings of …, 2023
52023
Integrated customer analytics using Explainability and AutoML for telecommunications
ST Eswarapu, S Seshathri, Y Deshaboina, P Bhargawa, AA Jo, ED Raj
2023 2nd International Conference on Applied Artificial Intelligence and …, 2023
32023
Ethical Dimensions in Data-Driven Business: Balancing Fairness, Accountability, Transparency, and Explainability
AA Jo, ED Raj
2024 15th International Conference on Computing Communication and Networking …, 2024
12024
Social Assessment and Cultural Resistance: The Public Distribution System in Tamil Nadu, India
S Srinivasalu, M Selladurai, S Sharma, G Perumal, M Mathaiyan, AA Jo, ...
Participatory Artificial Intelligence in Public Social Services: From Bias …, 2025
2025
Transparency in legal AI: Pioneering explainable NLP for enhanced judgement prediction
S Uniyal, MD Savla, AA Jo, ED Raj
Data Science & Exploration in Artificial Intelligence, 115-123, 2025
2025
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning
AA Jo, ED Raj, J Sahoo
ACM Transactions on Intelligent Systems and Technology, 2025
2025
Exploring Explainable AI in Large Language Models: Enhancing Transparency and Trust
AA Jo, ED Raj
2024 11th International Conference on Advances in Computing and …, 2024
2024
Exploring Explainable AI for Enhanced Depression Prediction in Mental Health
AA Jo, ED Raj, AS Vino, PV Menon
2024 First International Conference on Innovations in Communications …, 2024
2024
Bipol-Driven Bias Analysis in Transformer Models: A Quantitative, Global, and Local Interpretability Approach for Textual Data
R Ranjith, AA Jo, ED Raj
2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC …, 2024
2024
Improving Time Series Forecasting Accuracy with Transformers: A Comprehensive Analysis with Explainability
S Joseph, AA Jo, ED Raj
2024 Third International Conference on Electrical, Electronics, Information …, 2024
2024
Tabular Data Interpretation on COVID-19 Through Explainable Machine Learning
AA Jo, CR Paul, S Arundhathi Nair, J Thomas, ED Raj
International Conference on Emerging Trends and Technologies on Intelligent …, 2023
2023
A Performance Improvement Inference Method For Link Prediction in Social Graphs
AA Jo, PV Jose
IOP Conference Series: Materials Science and Engineering 396 (1), 012021, 2018
2018
Deepstock: A Real Time Stock Prediction Model Using Deep Learning
AA Jo, PV Jose
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