11 citations · 32 across the 20 of their papers we have counts for
22 papers
MIDOG 2025 Track 2: A Deep Learning Model for Classification of Atypical and Normal Mitotic Figures under Class and Hardness Imbalances
Sujatha Kotte, Vangala Govindakrishnan Saipradeep, Vidushi Walia +4
Motivation: Accurate classification of mitotic figures into normal and atypical types is crucial for tumor prognostication in digital pathology. However, developing robust deep lea…
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Qingyu Chen, Alexis Allot, Robert Leaman +35
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research has been undertaken to understand the characteristics of the virus and design…
Adiabatic Quantum Feature Selection for Sparse Linear Regression
Surya Sai Teja Desu, P. K. Srijith, M. V. Panduranga Rao +1
Linear regression is a popular machine learning approach to learn and predict real valued outputs or dependent variables from independent variables or features. In many real world…
Kmerlight: fast and accurate k-mer abundance estimation
Naveen Sivadasan, Rajgopal Srinivasan, Kshama Goyal
k-mers (nucleotide strings of length k) form the basis of several algorithms in computational genomics. In particular, k-mer abundance information in sequence data is useful in rea…
Subgraph Similarity Search in Large Graphs
Kanigalpula Samanvi, Naveen Sivadasan
One of the major challenges in applications related to social networks, computational biology, collaboration networks etc., is to efficiently search for similar patterns in their u…
Parameterized Lower Bounds and Dichotomy Results for the NP-completeness of -free Edge Modification Problems
N. R. Aravind, R. B. Sandeep, Naveen Sivadasan
For a graph , the -free Edge Deletion problem asks whether there exist at most edges whose deletion from the input graph results in a graph without any induced copy o…