Vaibhav Rajan

发表

DruID: Personalized Drug Recommendations by Integrating Multiple Biomedical Databases for Cancer

Herty Liany, Vaibhav Rajan, Anand Jeyasekharan, 2021, bioRxiv.

A Metric for Phylogenetic Trees Based on Matching

Yu Lin, Bernard M. E. Moret, Vaibhav Rajan, 2011, ISBRA.

ASTER: A Method to Predict Clinically Actionable Synthetic Lethal Interactions

H. Liany, A. Jeyasekharan, Vaibhav Rajan, 2020, bioRxiv.

Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis

Atreyi Kankanhalli, Vaibhav Rajan, Suparna Ghanvatkar, 2018, ICIS.

ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets

Vaibhav Rajan, Harsh Shrivastava, Sakyajit Bhattacharya, 2017, AAAI.

Neural Collective Matrix Factorization for Integrated Analysis of Heterogeneous Biomedical Data

Vaibhav Rajan, Aishwarya Jayagopal, Ragunathan Mariappan, 2022, bioRxiv.

A method of alignment masking for refining the phylogenetic signal of multiple sequence alignments.

Vaibhav Rajan, Vaibhav Rajan, 2013, Molecular biology and evolution.

scMoMaT jointly performs single cell mosaic integration and multi-modal bio-marker detection

S. Teichmann, Vaibhav Rajan, M. Efremova, 2023, Nature Communications.

Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals

Shourya Roy, Vaibhav Rajan, Sakyajit Bhattacharya, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Maximum Likelihood Reconstruction of Ancestral Networks by Integer Linear Programming

Xiuwei Zhang, Carl Kingsford, Vaibhav Rajan, 2019, bioRxiv.

Predicting Complications in Critical Care Using Heterogeneous Clinical Data

Shourya Roy, Chandan K. Reddy, Vaibhav Rajan, 2016, IEEE Access.

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning pdf

Vijini Mallawaarachchi, Hansheng Xue, Vaibhav Rajan, 2021, AAAI.

A Metric for Phylogenetic Trees Based on Matching

Yu Lin, Bernard M. E. Moret, Vaibhav Rajan, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Bootstrapping phylogenies inferred from rearrangement data

Yu Lin, Bernard M. E. Moret, Vaibhav Rajan, 2011, Algorithms for Molecular Biology.

MetaBCC-LR: metagenomics binning by coverage and composition for long reads

Vijini Mallawaarachchi, Anuradha Wickramarachchi, Vaibhav Rajan, 2020, Bioinform..

Analysis of gene copy number changes in tumor phylogenetics

Jun Zhou, Yu Lin, Jijun Tang, 2016, Algorithms for Molecular Biology.

Maximum Parsimony Analysis of Gene Copy Number Changes

Jun Zhou, Yu Lin, Jijun Tang, 2015, WABI.

Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies

Chiranjib Bhattacharyya, Lavanya Sita Tekumalla, Vaibhav Rajan, 2017, Machine Learning.

Course Corpus 1 ( e . g , MIT course web pages ) Course Corpus 2 MOOC Corpus ( video sequences ) Concept Space Neural Net overfittingPartial derivative Lin

Vaibhav Rajan, Sudeshna Roy, Meghana Madhyastha, 2019 .

A dual boundary classifier for predicting acute hypotensive episodes in critical care

Chandan K. Reddy, Vaibhav Rajan, Sakyajit Bhattacharya, 2018, PloS one.

A novel classification method for predicting acute hypotensive episodes in critical care

Vaibhav Rajan, Sakyajit Bhattacharya, Vijay Huddar, 2014, BCB.

Don’t Just Divide; Polarize and Conquer!

Lingxiao Huang, Kenji Kawaguchi, Siddharth Bhatia, 2021 .

Clustering Aware Classification for Risk Prediction and Subtyping in Clinical Data

Lim Jun Heng, Vaibhav Rajan, Kenji Kawaguchi, 2021, 2102.11872.

CAC: A Clustering Based Framework for Classification pdf

Lingxiao Huang, Kenji Kawaguchi, Siddharth Bhatia, 2021, ArXiv.

Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks

Aishwarya Jadhav, Vaibhav Rajan, Vaibhav Rajan, 2018, ACL.

Clustering in Misspecified and High-Dimensional Models using Automatic Differentiation

Vaibhav Rajan, Siva Rajesh Kasa, Vaibhav Rajan, 2019 .

Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data

Vaibhav Rajan, Siva Rajesh Kasa, Vaibhav Rajan, 2019, bioRxiv.

Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization

Vaibhav Rajan, Debabrata Mahapatra, Vaibhav Rajan, 2020, ICML.

Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front pdf

Vaibhav Rajan, Debabrata Mahapatra, Vaibhav Rajan, 2021, ArXiv.

VideoKen: Automatic Video Summarization and Course Curation to Support Learning

Vaibhav Rajan, Sudeshna Roy, Kuldeep Yadav, 2018, WWW.

Classification with imbalance: A similarity-based method for predicting respiratory failure

Vaibhav Rajan, Harsh Shrivastava, Sakyajit Bhattacharya, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare

Vaibhav Rajan, Suparna Ghanvatkar, 2022, International Conference on Interaction Sciences.

Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study

Vaibhav Rajan, Sajit Kumar, Ragunathan Mariappan, 2021, JMIR medical informatics.

Adverse Drug Event Prediction using Noisy Literature-Derived Knowledge Graphs

Vaibhav Rajan, Ragunathan Mariappan, Abel Lim Jun Hong, 2021, ICIS.

Adaptive crowdsourcing for temporal crowds

Koustuv Dasgupta, L. Elisa Celis, Vaibhav Rajan, 2013, WWW.

CrowdUtility: know the crowd that works for you

Koustuv Dasgupta, Nischal M. Piratla, Saraschandra Karanam, 2013, CHI Extended Abstracts.

Improved Inference of Gaussian Mixture Copula Model for Clustering and Reproducibility Analysis using Automatic Differentiation

Vaibhav Rajan, Siva Rajesh Kasa, Vaibhav Rajan, 2020, Econometrics and Statistics.

scMoMaT: Mosaic integration of single cell multi-omics data using matrix tri-factorization

S. Teichmann, Vaibhav Rajan, M. Efremova, 2022, bioRxiv.

Multi-disease Predictive Analytics: A Clinical Knowledge-aware Approach

Lin Qiu, Sruthi Gorantla, Vaibhav Rajan, 2021, ACM Trans. Manag. Inf. Syst..

Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores

Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, 2016, PAKDD Workshops.

A statistical model for stroke outcome prediction and treatment planning

Vaibhav Rajan, Sakyajit Bhattacharya, Abhishek Sengupta, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

User Models for Personalized Physical Activity Interventions: Scoping Review

Atreyi Kankanhalli, Vaibhav Rajan, Suparna Ghanvatkar, 2019, JMIR mHealth and uHealth.

Deep collective matrix factorization for augmented multi-view learning

Vaibhav Rajan, Ragunathan Mariappan, 2018, Machine Learning.

Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks

Hansheng Xue, Luwei Yang, Yu Lin, 2021, WWW.

Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks

Vaibhav Rajan, Lakshmanan Rakkappan, Vaibhav Rajan, 2019, WWW.

TIBA: a tool for phylogeny inference from rearrangement data with bootstrap analysis

Yu Lin, Bernard M. E. Moret, Vaibhav Rajan, 2012, Bioinform..

Fast and Accurate Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Novel Robustness Estimator

Yu Lin, Bernard M. E. Moret, Vaibhav Rajan, 2010, RECOMB-CG.