Vaibhav Rajan

According to our database, Vaibhav Rajan authored at least 70 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Explanations From AI Algorithms for Clinical Decision-Making: A Social Science-Based Approach.

Suparna Ghanvatkar, Vaibhav Rajan

IEEE J. Biomed. Health Informatics, July, 2024

ASTER: A Method to Predict Clinically Relevant Synthetic Lethal Genetic Interactions.

Herty Liany, Aishwarya Jayagopal, Dachuan Huang, Jing Quan Lim, Nur Izzah NBH, Anand Jeyasekharan, Choon Kiat Ong, Vaibhav Rajan

IEEE J. Biomed. Health Informatics, March, 2024

Mixture-Models: a one-stop Python Library for Model-based Clustering using various Mixture Models.

Siva Rajesh Kasa, Yijie Hu, Santhosh Kumar Kasa, Vaibhav Rajan

CoRR, 2024

A Joint-Reasoning based Disease Q&A System.

Prakash Chandra Sukhwal, Vaibhav Rajan, Atreyi Kankanhalli

CoRR, 2024

4D Geo Modelling from Different Sources at Large Scale.

Sander Münster, Jonas Bruschke, Daniel Dworak, Dávid Komorowicz, Vaibhav Rajan, Dominik Ukolov

Proceedings of the 6th workshop on the analySis, 2024

Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information.

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer.

Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning.

Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

Shivin Srivastava, Vaibhav Rajan

IEEE J. Biomed. Health Informatics, October, 2023

Three-Dimensional Modelling of Past and Present Shahjahanabad through Multi-Temporal Remotely Sensed Data.

Vaibhav Rajan, Mila Koeva, Monika Kuffer, Andre Da Silva Mano, Shubham Mishra

Remote. Sens., 2023

2022

An Algorithm to Mine Therapeutic Motifs for Cancer From Networks of Genetic Interactions.

Herty Liany, Yu Lin, Anand Jeyasekharan, Vaibhav Rajan

IEEE J. Biomed. Health Informatics, 2022

ExpertNet: A Symbiosis of Classification and Clustering.

Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan

CoRR, 2022

Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical data.

Ragunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, Vaibhav Rajan

Bioinform., 2022

Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction.

Hansheng Xue, Vaibhav Rajan, Yu Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Designing a Healthcare QA Assistant: A Knowledge Based Approach.

Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan

Proceedings of the 43rd International Conference on Information Systems, 2022

Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare.

Suparna Ghanvatkar, Vaibhav Rajan

Proceedings of the 43rd International Conference on Information Systems, 2022

RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning.

Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Lin Qiu, Sruthi Gorantla, Vaibhav Rajan, Bernard C. Y. Tan

ACM Trans. Manag. Inf. Syst., 2021

Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization.

Ragunathan Mariappan, Vaibhav Rajan

CoRR, 2021

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

Debabrata Mahapatra, Vaibhav Rajan

CoRR, 2021

CAC: A Clustering Based Framework for Classification.

Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan

CoRR, 2021

Maximum likelihood reconstruction of ancestral networks by integer linear programming.

Vaibhav Rajan, Ziqi Zhang, Carl Kingsford, Xiuwei Zhang

Bioinform., 2021

Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks.

Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin

Proceedings of the WWW '21: The Web Conference 2021, 2021

Dependency Modeling with Copulas in Multi-Armed Bandits.

Siva Rajesh Kasa, Vaibhav Rajan

Proceedings of the 42nd International Conference on Information Systems, 2021

Expect the Unexpected: Engaging Users via Serendipitous Recommendations.

Wei Cui, Vaibhav Rajan, Zhenhui Jiang

Proceedings of the 42nd International Conference on Information Systems, 2021

2020

Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization.

Ragunathan Mariappan, Vaibhav Rajan

CoRR, 2020

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

Siva Rajesh Kasa, Vaibhav Rajan

CoRR, 2020

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

Anuradha Wickramarachchi, Vijini Mallawaarachchi, Vaibhav Rajan, Yu Lin

Bioinform., 2020

Predicting synthetic lethal interactions using heterogeneous data sources.

Herty Liany, Anand Jeyasekharan, Vaibhav Rajan

Bioinform., 2020

Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping.

Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan

Bioinform., 2020

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

Debabrata Mahapatra, Vaibhav Rajan

Proceedings of the 37th International Conference on Machine Learning, 2020

An IoT-based DSS using Vehicle Movement Data for Nature Parks.

Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan

Proceedings of the 41st International Conference on Information Systems, 2020

Adverse Drug Event Prediction using Noisy Literature-Derived Knowledge Graphs.

Abel Lim Jun Hong, Ragunathan Mariappan, Vaibhav Rajan

Proceedings of the 41st International Conference on Information Systems, 2020

2019

Deep collective matrix factorization for augmented multi-view learning.

Ragunathan Mariappan, Vaibhav Rajan

Mach. Learn., 2019

Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks.

Lakshmanan Rakkappan, Vaibhav Rajan

Proceedings of the World Wide Web Conference, 2019

Battling Alzheimer's Disease through Early Detection: A Deep Multimodal Learning Approach.

Lin Qiu, Vaibhav Rajan, Bernard C. Y. Tan

Proceedings of the 40th International Conference on Information Systems, 2019

Deep Recurrent Neural Networks for Mortality Prediction in Intensive Care using Clinical Time Series at Multiple Resolutions.

Suparna Ghanvatkar, Vaibhav Rajan

Proceedings of the 40th International Conference on Information Systems, 2019

Inferring Concept Prerequisite Relations from Online Educational Resources.

Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

VideoKen: Automatic Video Summarization and Course Curation to Support Learning.

Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan, Kuldeep Yadav, Seby A., Sudeshna Roy

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Automatic Hierarchical Table of Contents Generation for Educational Videos.

Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis.

Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanhalli

Proceedings of the International Conference on Information Systems, 2018

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

Aishwarya Jadhav, Vaibhav Rajan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

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

Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya

Mach. Learn., 2017

Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models.

Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets.

Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Analysis of gene copy number changes in tumor phylogenetics.

Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Bing Feng, Jijun Tang

Algorithms Mol. Biol., 2016

Predicting Complications in Critical Care Using Heterogeneous Clinical Data.

Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy

IEEE Access, 2016

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

Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Dependency Clustering of Mixed Data with Gaussian Mixture Copulas.

Vaibhav Rajan, Sakyajit Bhattacharya

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A statistical model for stroke outcome prediction and treatment planning.

Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms.

Sakyajit Bhattacharya, Laura Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan

Hum. Comput., 2015

Maximum Parsimony Analysis of Gene Copy Number Changes.

Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang

Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015

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

Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Adaptive Performance Optimization over Crowd Labor Channels.

Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

CrowdUtility: A Recommendation System for Crowdsourcing Platforms.

Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

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

Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013

Adaptive crowdsourcing for temporal crowds.

L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan

Proceedings of the 22nd International World Wide Web Conference, 2013

CrowdUtility: know the crowd that works for you.

Koustuv Dasgupta, Vaibhav Rajan, Saraschandra Karanam, Kovendhan Ponnavaikko, Chithralekha Balamurugan, Nischal M. Piratla

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012

Reconstruction of Large-Scale Phylogenies - Advances in Algorithms and Statistical Methods.

Vaibhav Rajan

PhD thesis, 2012

A Metric for Phylogenetic Trees Based on Matching.

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

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

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

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

Bioinform., 2012

Bootstrapping phylogenies inferred from rearrangement data.

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

Algorithms Mol. Biol., 2012

2011

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

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

J. Comput. Biol., 2011

2010

Sorting Signed Permutations by Inversions in <i>O</i>(<i>n</i>log<i>n</i>) Time.

Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret

J. Comput. Biol., 2010

Heuristics for the inversion median problem.

Vaibhav Rajan, Andrew Wei Xu, Yu Lin, Krister M. Swenson, Bernard M. E. Moret

BMC Bioinform., 2010

Estimating true evolutionary distances under rearrangements, duplications, and losses.

Yu Lin, Vaibhav Rajan, Krister M. Swenson, Bernard M. E. Moret

BMC Bioinform., 2010

2009

Hurdles and Sorting by Inversions: Combinatorial, Statistical, and Experimental Results.

Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret

J. Comput. Biol., 2009

Sorting Signed Permutations by Inversions in O(nlogn) Time.

Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret

Proceedings of the Research in Computational Molecular Biology, 2009

2008

Hurdles Hardly Have to Be Heeded.

Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret

Proceedings of the Comparative Genomics, International Workshop, 2008