4 papers
A New Technique for AI Explainability using Feature Association Map
Sayantani Ghosh, Amit Kumar Das, Amlan Chakrabarti
Lack of transparency in AI systems poses challenges in critical real-life applications. It is important to be able to explain the decisions of an AI system to ensure trust on the s…
CoGReV: A Confidence-Gated Post-Hoc Non-Monotonic Belief Revision Framework for Phishing Website Classification
Mainak Sen, Kumar Sankar Ray, Amlan Chakrabarti
In phishing detection, machine learning classifiers act as a first line of defense, but the false positives they produce are triaged by human analysts. The excessive false alarms c…
Hybrid Coupling Topology with Dynamic ZZ Suppression for Optimizing Circuit Depth during Runtime in Superconducting Quantum Processor
Uday Sannigrahi, Amlan Chakrabarti, Swapnil Saha +1
To reduce circuit depth when executing Quantum algorithms, it is necessary to maximize qubit connectivity on a near-term quantum processor. While addressing this, we also need to e…
AClassiHonk: A System Framework to Annotate and Classify Vehicular Honk from Road Traffic
Biswajit Maitya, Abdul Alima, Popuri Sree Rama Charana +3
Recent studies emphasize that vehicular honking contributes to over 50% of noise pollution in developing urban and suburban areas. Frequent honking negatively impacts health, road…