3 papers
cs.CV2026
Explanation Stability of Test-Time Adaptation in Computational Pathology: A Large-Scale Benchmark
R. G. Bahumanya, Harshith V. M., Shreyank N. Gowda +1
Test-time adaptation (TTA) has become a practical way to adapt deployed models to unlabeled target data, a setting that is especially relevant in computational pathology where stai…
cs.AI2026
Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning
Arya Hariharan, Shreyank N Gowda, Anala M R
Longitudinal modelling of Alzheimer's disease progression is clinically useful only if it can describe not just the most likely next diagnosis, but how a patient may evolve over ti…
cs.CV2023
Multimodality in Online Education: A Comparative Study
Praneeta Immadisetty, Pooja Rajesh, Akshita Gupta +3
The commencement of the decade brought along with it a grave pandemic and in response the movement of education forums predominantly into the online world. With a surge in the usag…