Srishti Gautam

17 papers A* 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications. NAACL-HLT Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju
2024	J	`jnl`	Prototypical Self-Explainable Models Without Re-training. Trans. Mach. Learn. Res. Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael Kampffmeyer
2023	J	`jnl`	ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Medical Image Anal. Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen
2023	J	`jnl`	Investigating the Fairness of Large Language Models for Predictions on Tabular Data. CoRR Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju
2023	J	`jnl`	Prototypical Self-Explainable Models Without Re-training. CoRR Srishti Gautam, Ahcene Boubekki, Marina M.-C. Höhne, Michael C. Kampffmeyer
2022	—	`conf`	A self-guided anomaly detection-inspired few-shot segmentation network. CVCS Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen
2022	J	`jnl`	Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels. CoRR Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Anal. Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
2022	J	`jnl`	Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	—	`conf`	Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. ISBI Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2022	A*	`conf`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2022	J	`jnl`	ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
2021	J	`jnl`	This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. CoRR Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
2018	—	`conf`	CNN based segmentation of nuclei in PAP-smear images with selective pre-processing. Digital Pathology Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, Harinarayan K. K.
2018	J	`jnl`	Considerations for a PAP Smear Image Analysis System with CNN Features. CoRR Srishti Gautam, Harinarayan K. K., O. U. Nirmal Jith, Anil Kumar Sao, Arnav Bhavsar, Adarsh Natarajan
2018	—	`conf`	DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification. COMPAY/OMIA@MICCAI O. U. Nirmal Jith, K. K. Harinarayanan, Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao
2017	—	`conf`	Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering. MIUA Srishti Gautam, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao