3 papers
cs.AI2025
Adaptive Monitoring and Real-World Evaluation of Agentic AI Systems
Manish Shukla
Agentic artificial intelligence (AI) -- multi-agent systems that combine large language models with external tools and autonomous planning -- are rapidly transitioning from researc…
cs.LG2025
Interpreting Time Series Forecasts with LIME and SHAP: A Case Study on the Air Passengers Dataset
Manish Shukla
Time-series forecasting underpins critical decisions across aviation, energy, retail and health. Classical autoregressive integrated moving average (ARIMA) models offer interpretab…
cs.LG2020
Understanding Interpretability by generalized distillation in Supervised Classification
Adit Agarwal, K. K. Shukla, Arjan Kuijper +1
The ability to interpret decisions taken by Machine Learning (ML) models is fundamental to encourage trust and reliability in different practical applications. Recent interpretatio…