Vidhya Kamakshi

According to our database, Vidhya Kamakshi authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Transparent Knowledge Graphs: A Position on Explainability in Link Prediction.

Vidhya Kamakshi, Chandramani Chaudhary

Proceedings of the Joint Proceedings of the ESWC 2025 Workshops and Tutorials co-located with 22nd Extended Semantic Web Conference (ESWC 2025), 2025

2024

SCE: Shared Concept Extractor to Explain a CNN's Classification Dynamics.

Vidhya Kamakshi, Narayanan C. Krishnan

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2022

Explainable Supervised Domain Adaptation.

Vidhya Kamakshi, Narayanan C. Krishnan

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks.

Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan Chatapuram Krishnan

IEEE Trans. Artif. Intell., 2021

Evaluation of Saliency-based Explainability Method.

Sam Zabdiel Sunder Samuel, Vidhya Kamakshi, Namrata Lodhi, Narayanan C. Krishnan

CoRR, 2021

PACE: Posthoc Architecture-Agnostic Concept Extractor for Explaining CNNs.

Vidhya Kamakshi, Uday Gupta, Narayanan C. Krishnan

Proceedings of the International Joint Conference on Neural Networks, 2021

MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.

Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain

Proceedings of the Machine Learning and Knowledge Extraction, 2021