1 citations · 2 across the 4 of their papers we have counts for
4 papers
SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
Suyog Jadhav, Dilip K. Prasad, Krishna Agarwal
The morphological analysis of mitochondria in fluorescence microscopy (FM) is crucial for understanding cellular health, energy production, and metabolic regulation. While foundati…
Haphazard Inputs as Images in Online Learning
Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh +3
The field of varying feature space in online learning settings, also known as haphazard inputs, is very prominent nowadays due to its applicability in various fields. However, the…
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space
Rohit Agarwal, Karaka Prasanth Naidu, Alexander Horsch +2
We study the online learning problem characterized by the varying input feature space of streaming data. Although LSTMs have been employed to effectively capture the temporal natur…
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis
Rohit Agarwal, Arijit Das, Alexander Horsch +2
The domain of online learning has experienced multifaceted expansion owing to its prevalence in real-life applications. Nonetheless, this progression operates under the assumption…