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Sudipta Acharya
Also published under:
Affiliation
School of Computing, Queen's University, Kingston, Ontario, Canada
Topic
Clustering Algorithm,Co-clustering Algorithm,Curse Of Dimensionality,Davies-Bouldin Index,Feature Selection Algorithm,Feature Selection Methods,Gene Expression Data,Gene Expression Datasets,Gene Selection,K-nearest Neighbor,Multi-objective Optimization,Multi-view Data,Objective Function,Protein-protein Interaction Network,Silhouette Index,Activation Function,Alignment Score,Annotation Data,Attention Mechanism,Baseline Methods,Biological Data,Calcium Imaging,Center-to-center Distance,Centroid,Cluster Centers,Cluster Solution,Comparative Analysis,Conditional Variational Autoencoder,Consensus Clustering,Crossover Operator,Deep Learning,Deep Neural Network,Detailed Shape,Dimensionality Reduction,Distance Metrics,Essential Proteins,Evolutionary Algorithms,F1 Score,Feature Selection Techniques,Federal Trade Commission,Functional Affinity,Gated Recurrent Unit,Genomic Resources,Graph-theoretic Approach,Graphical User Interface,Hidden State,High-dimensional Datasets,Human Cognition,Information Retrieval,Interacting Protein Pairs,
Biography
Sudipta Acharya received the MTech degree from NIT Durgapur, India, in 2013, and the PhD degree in Computer Science and Engineering from IIT Patna, India, in 2018. She is currently postdoctoral scholar at the College of Computer Science & Software Engineering, Shenzhen University, China. Her research interests include machine learning, multiobjective optimization, and computational biology.