Vaibhav Rajan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 56

Top Topics

Matrix Factorization

Extractive Summarization

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. KDD (2024)
Suparna Ghanvatkar, Vaibhav Rajan
Evaluating Explanations From AI Algorithms for Clinical Decision-Making: A Social Science-Based Approach. IEEE J. Biomed. Health Informatics 28 (7) (2024)
Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning. ICLR (2024)
Prakash Chandra Sukhwal, Vaibhav Rajan, Atreyi Kankanhalli
A Joint-Reasoning based Disease Q&A System. CoRR (2024)
Herty Liany, Aishwarya Jayagopal, Dachuan Huang, Jing Quan Lim, Nur Izzah NBH, Anand Jeyasekharan, Choon Kiat Ong, Vaibhav Rajan
ASTER: A Method to Predict Clinically Relevant Synthetic Lethal Genetic Interactions. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer. CoRR (2024)
Siva Rajesh Kasa, Yijie Hu, Santhosh Kumar Kasa, Vaibhav Rajan
Mixture-Models: a one-stop Python Library for Model-based Clustering using various Mixture Models. CoRR (2024)
Aishwarya Jayagopal, Hansheng Xue, Ziyang He, Robert J. Walsh, Krishna Kumar Hariprasannan, David Shao Peng Tan, Tuan Zea Tan, Jason J. Pitt, Anand D. Jeyasekharan, Vaibhav Rajan
Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. CoRR (2024)
Vaibhav Rajan, Mila Koeva, Monika Kuffer, Andre Da Silva Mano, Shubham Mishra
Three-Dimensional Modelling of Past and Present Shahjahanabad through Multi-Temporal Remotely Sensed Data. Remote. Sens. 15 (11) (2023)
Shivin Srivastava, Vaibhav Rajan
ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. AAAI (2022)
Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan
ExpertNet: A Symbiosis of Classification and Clustering. CoRR (2022)
Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan
Designing a Healthcare QA Assistant: A Knowledge Based Approach. ICIS (2022)
Ragunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, Vaibhav Rajan
Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical data. Bioinform. 38 (19) (2022)
Suparna Ghanvatkar, Vaibhav Rajan
Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare. ICIS (2022)
Hansheng Xue, Vaibhav Rajan, Yu Lin
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction. CoRR (2022)
Hansheng Xue, Vaibhav Rajan, Yu Lin
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction. NeurIPS (2022)
Herty Liany, Yu Lin, Anand Jeyasekharan, Vaibhav Rajan
An Algorithm to Mine Therapeutic Motifs for Cancer From Networks of Genetic Interactions. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Wei Cui, Vaibhav Rajan, Zhenhui Jiang
Expect the Unexpected: Engaging Users via Serendipitous Recommendations. ICIS (2021)
Vaibhav Rajan, Ziqi Zhang, Carl Kingsford, Xiuwei Zhang
Maximum likelihood reconstruction of ancestral networks by integer linear programming. Bioinform. 37 (8) (2021)
Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. CoRR (2021)
Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. WWW (2021)
Ragunathan Mariappan, Vaibhav Rajan
Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization. CoRR (2021)
Debabrata Mahapatra, Vaibhav Rajan
Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front. CoRR (2021)
Lin Qiu, Sruthi Gorantla, Vaibhav Rajan, Bernard C. Y. Tan
Multi-disease Predictive Analytics: A Clinical Knowledge-aware Approach. ACM Trans. Manag. Inf. Syst. 12 (3) (2021)
Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
CAC: A Clustering Based Framework for Classification. CoRR (2021)
Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning. CoRR (2021)
Siva Rajesh Kasa, Vaibhav Rajan
Dependency Modeling with Copulas in Multi-Armed Bandits. ICIS (2021)
Abel Lim Jun Hong, Ragunathan Mariappan, Vaibhav Rajan
Adverse Drug Event Prediction using Noisy Literature-Derived Knowledge Graphs. ICIS (2020)
Anuradha Wickramarachchi, Vijini Mallawaarachchi, Vaibhav Rajan, Yu Lin
MetaBCC-LR: metagenomics binning by coverage and composition for long reads. Bioinform. 36 (Supplement-1) (2020)
Siva Rajesh Kasa, Vaibhav Rajan
Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data. CoRR (2020)
Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan
Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping. Bioinform. 36 (2) (2020)
Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan
An IoT-based DSS using Vehicle Movement Data for Nature Parks. ICIS (2020)
Ragunathan Mariappan, Vaibhav Rajan
Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization. CoRR (2020)
Debabrata Mahapatra, Vaibhav Rajan
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization. ICML (2020)
Herty Liany, Anand Jeyasekharan, Vaibhav Rajan
Predicting synthetic lethal interactions using heterogeneous data sources. Bioinform. 36 (7) (2020)
Ragunathan Mariappan, Vaibhav Rajan
Deep collective matrix factorization for augmented multi-view learning. Mach. Learn. 108 (8-9) (2019)
Lakshmanan Rakkappan, Vaibhav Rajan
Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks. WWW (2019)
Suparna Ghanvatkar, Vaibhav Rajan
Deep Recurrent Neural Networks for Mortality Prediction in Intensive Care using Clinical Time Series at Multiple Resolutions. ICIS (2019)
Lin Qiu, Vaibhav Rajan, Bernard C. Y. Tan
Battling Alzheimer's Disease through Early Detection: A Deep Multimodal Learning Approach. ICIS (2019)
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
Inferring Concept Prerequisite Relations from Online Educational Resources. AAAI (2019)
Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
Inferring Concept Prerequisite Relations from Online Educational Resources. CoRR (2018)
Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanhalli
Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. ICIS (2018)
Ragunathan Mariappan, Vaibhav Rajan
Deep Collective Matrix Factorization for Augmented Multi-View Learning. CoRR (2018)
Aishwarya Jadhav, Vaibhav Rajan
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks. ACL (1) (2018)
Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan
Automatic Hierarchical Table of Contents Generation for Educational Videos. WWW (Companion Volume) (2018)
Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan, Kuldeep Yadav, Seby A., Sudeshna Roy
VideoKen: Automatic Video Summarization and Course Curation to Support Learning. WWW (Companion Volume) (2018)
Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. EMBC (2017)
Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies. Mach. Learn. 106 (9-10) (2017)
Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. AAAI (2017)
Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek
Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores. PAKDD Workshops (2016)
Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy
Predicting Complications in Critical Care Using Heterogeneous Clinical Data. IEEE Access 4 (2016)
Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Bing Feng, Jijun Tang
Analysis of gene copy number changes in tumor phylogenetics. Algorithms Mol. Biol. 11 (2016)
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
A statistical model for stroke outcome prediction and treatment planning. EMBC (2016)
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
A Statistical Model for Stroke Outcome Prediction and Treatment Planning. CoRR (2016)
Vaibhav Rajan, Sakyajit Bhattacharya
Dependency Clustering of Mixed Data with Gaussian Mixture Copulas. IJCAI (2016)
Sakyajit Bhattacharya, Laura Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan
Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. Hum. Comput. 2 (1) (2015)
Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan
Classification with imbalance: A similarity-based method for predicting respiratory failure. BIBM (2015)
Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang
Maximum Parsimony Analysis of Gene Copy Number Changes. WABI (2015)
Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta
CrowdUtility: A Recommendation System for Crowdsourcing Platforms. HCOMP (2014)
Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan
Adaptive Performance Optimization over Crowd Labor Channels. HCOMP (2014)
Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar
A novel classification method for predicting acute hypotensive episodes in critical care. BCB (2014)
Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy
Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals. EMBC (2014)
L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan
Adaptive crowdsourcing for temporal crowds. WWW (Companion Volume) (2013)
Koustuv Dasgupta, Vaibhav Rajan, Saraschandra Karanam, Kovendhan Ponnavaikko, Chithralekha Balamurugan, Nischal M. Piratla
CrowdUtility: know the crowd that works for you. CHI Extended Abstracts (2013)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
Bootstrapping phylogenies inferred from rearrangement data. Algorithms Mol. Biol. 7 (2012)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
TIBA: a tool for phylogeny inference from rearrangement data with bootstrap analysis. Bioinform. 28 (24) (2012)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
A Metric for Phylogenetic Trees Based on Matching. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (4) (2012)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
Bootstrapping Phylogenies Inferred from Rearrangement Data. WABI (2011)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
Fast and Accurate Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Novel Robustness Estimator. J. Comput. Biol. 18 (9) (2011)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
A Metric for Phylogenetic Trees Based on Matching. ISBRA (2011)
Vaibhav Rajan, Andrew Wei Xu, Yu Lin, Krister M. Swenson, Bernard M. E. Moret
Heuristics for the inversion median problem. BMC Bioinform. 11 (S-1) (2010)
Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
Fast and Accurate Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Novel Robustness Estimator. RECOMB-CG (2010)
Yu Lin, Vaibhav Rajan, Krister M. Swenson, Bernard M. E. Moret
Estimating true evolutionary distances under rearrangements, duplications, and losses. BMC Bioinform. 11 (S-1) (2010)
Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret
) Time. J. Comput. Biol. 17 (3) (2010)
Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
Hurdles and Sorting by Inversions: Combinatorial, Statistical, and Experimental Results. J. Comput. Biol. 16 (10) (2009)
Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret
Sorting Signed Permutations by Inversions in O(nlogn) Time. RECOMB (2009)
Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
Hurdles Hardly Have to Be Heeded. RECOMB-CG (2008)