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ORCIDVaibhav Rajan
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2020 – today
- 2024
[j24]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): 1785-1796 (2024)- [j23]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): 4269-4280 (2024) - [c40]Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan:
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning. ICLR 2024 - [c39]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan:
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. ICML 2024 - [c38]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: 5138-5149 - [c37]Sander Münster, Jonas Bruschke, Daniel Dworak, Dávid Komorowicz, Vaibhav Rajan, Dominik Ukolov:
4D Geo Modelling from Different Sources at Large Scale. SUMAC@ ACM Multimedia 2024: 13-17 - [i16]Prakash Chandra Sukhwal, Vaibhav Rajan, Atreyi Kankanhalli:
A Joint-Reasoning based Disease Q&A System. CoRR abs/2401.03181 (2024) - [i15]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 abs/2402.10229 (2024) - [i14]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 abs/2402.10551 (2024) - [i13]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 abs/2405.04078 (2024) - 2023
- [j22]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): 2924 (2023) - [j21]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): 5076-5086 (2023) - 2022
- [j20]Ragunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, Vaibhav Rajan:
Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical data. Bioinform. 38(19): 4554-4561 (2022) - [j19]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): 2830-2838 (2022) - [c36]Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin:
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. AAAI 2022: 4637-4645 - [c35]Suparna Ghanvatkar, Vaibhav Rajan:
Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare. ICIS 2022 - [c34]Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan:
Designing a Healthcare QA Assistant: A Knowledge Based Approach. ICIS 2022 - [c33]Hansheng Xue, Vaibhav Rajan, Yu Lin:
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction. NeurIPS 2022 - [i12]Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan:
ExpertNet: A Symbiosis of Classification and Clustering. CoRR abs/2201.06344 (2022) - [i11]Hansheng Xue, Vaibhav Rajan, Yu Lin:
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction. CoRR abs/2210.12158 (2022) - 2021
- [j18]Vaibhav Rajan, Ziqi Zhang, Carl Kingsford, Xiuwei Zhang:
Maximum likelihood reconstruction of ancestral networks by integer linear programming. Bioinform. 37(8): 1083-1092 (2021) - [j17]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): 19:1-19:34 (2021) - [c32]Wei Cui, Vaibhav Rajan, Zhenhui Jiang:
Expect the Unexpected: Engaging Users via Serendipitous Recommendations. ICIS 2021 - [c31]Siva Rajesh Kasa, Vaibhav Rajan:
Dependency Modeling with Copulas in Multi-Armed Bandits. ICIS 2021 - [c30]Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin:
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. WWW 2021: 1649-1660 - [i10]Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin:
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. CoRR abs/2102.06371 (2021) - [i9]Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan:
CAC: A Clustering Based Framework for Classification. CoRR abs/2102.11872 (2021) - [i8]Debabrata Mahapatra, Vaibhav Rajan:
Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front. CoRR abs/2108.00597 (2021) - [i7]Ragunathan Mariappan, Vaibhav Rajan:
Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization. CoRR abs/2109.13164 (2021) - [i6]Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin:
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning. CoRR abs/2112.11696 (2021) - 2020
- [j16]Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan:
Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping. Bioinform. 36(2): 621-628 (2020) - [j15]Herty Liany, Anand Jeyasekharan, Vaibhav Rajan:
Predicting synthetic lethal interactions using heterogeneous data sources. Bioinform. 36(7): 2209-2216 (2020) - [j14]Anuradha Wickramarachchi, Vijini Mallawaarachchi, Vaibhav Rajan, Yu Lin:
MetaBCC-LR: metagenomics binning by coverage and composition for long reads. Bioinform. 36(Supplement-1): i3-i11 (2020) - [c29]Abel Lim Jun Hong, Ragunathan Mariappan, Vaibhav Rajan:
Adverse Drug Event Prediction using Noisy Literature-Derived Knowledge Graphs. ICIS 2020 - [c28]Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan:
An IoT-based DSS using Vehicle Movement Data for Nature Parks. ICIS 2020 - [c27]Debabrata Mahapatra, Vaibhav Rajan:
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization. ICML 2020: 6597-6607 - [i5]Siva Rajesh Kasa, Vaibhav Rajan:
Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data. CoRR abs/2007.12786 (2020) - [i4]Ragunathan Mariappan, Vaibhav Rajan:
Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization. CoRR abs/2009.05805 (2020)
2010 – 2019
- 2019
- [j13]Ragunathan Mariappan, Vaibhav Rajan:
Deep collective matrix factorization for augmented multi-view learning. Mach. Learn. 108(8-9): 1395-1420 (2019) - [c26]Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. AAAI 2019: 9589-9594 - [c25]Suparna Ghanvatkar, Vaibhav Rajan:
Deep Recurrent Neural Networks for Mortality Prediction in Intensive Care using Clinical Time Series at Multiple Resolutions. ICIS 2019 - [c24]Lin Qiu, Vaibhav Rajan, Bernard C. Y. Tan:
Battling Alzheimer's Disease through Early Detection: A Deep Multimodal Learning Approach. ICIS 2019 - [c23]Lakshmanan Rakkappan, Vaibhav Rajan:
Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks. WWW 2019: 3172-3178 - 2018
- [c22]Aishwarya Jadhav, Vaibhav Rajan:
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks. ACL (1) 2018: 142-151 - [c21]Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanhalli:
Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. ICIS 2018 - [c20]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: 239-242 - [c19]Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan:
Automatic Hierarchical Table of Contents Generation for Educational Videos. WWW (Companion Volume) 2018: 267-274 - [i3]Ragunathan Mariappan, Vaibhav Rajan:
Deep Collective Matrix Factorization for Augmented Multi-View Learning. CoRR abs/1811.11427 (2018) - [i2]Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan:
Inferring Concept Prerequisite Relations from Online Educational Resources. CoRR abs/1811.12640 (2018) - 2017
- [j12]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): 1331-1357 (2017) - [c18]Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava:
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. AAAI 2017: 1288-1294 - [c17]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: 3660-3663 - 2016
- [j11]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: 7988-8001 (2016) - [j10]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: 26 (2016) - [c16]Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma:
A statistical model for stroke outcome prediction and treatment planning. EMBC 2016: 2516-2519 - [c15]Vaibhav Rajan, Sakyajit Bhattacharya:
Dependency Clustering of Mixed Data with Gaussian Mixture Copulas. IJCAI 2016: 1967-1973 - [c14]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: 190-199 - [i1]Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma:
A Statistical Model for Stroke Outcome Prediction and Treatment Planning. CoRR abs/1602.07280 (2016) - 2015
- [j9]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): 105-131 (2015) - [c13]Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan:
Classification with imbalance: A similarity-based method for predicting respiratory failure. BIBM 2015: 707-714 - [c12]Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang:
Maximum Parsimony Analysis of Gene Copy Number Changes. WABI 2015: 108-120 - 2014
- [c11]Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar:
A novel classification method for predicting acute hypotensive episodes in critical care. BCB 2014: 43-52 - [c10]Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy:
Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals. EMBC 2014: 2702-2705 - [c9]Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan:
Adaptive Performance Optimization over Crowd Labor Channels. HCOMP 2014: 30-31 - [c8]Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta:
CrowdUtility: A Recommendation System for Crowdsourcing Platforms. HCOMP 2014: 69-70 - 2013
- [c7]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: 145-150 - [c6]L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan:
Adaptive crowdsourcing for temporal crowds. WWW (Companion Volume) 2013: 1093-1100 - 2012
- [b1]Vaibhav Rajan:
Reconstruction of Large-Scale Phylogenies - Advances in Algorithms and Statistical Methods. EPFL, Switzerland, 2012 - [j8]Yu Lin, Vaibhav Rajan, Bernard M. E. Moret:
Bootstrapping phylogenies inferred from rearrangement data. Algorithms Mol. Biol. 7: 21 (2012) - [j7]Yu Lin, Vaibhav Rajan, Bernard M. E. Moret:
TIBA: a tool for phylogeny inference from rearrangement data with bootstrap analysis. Bioinform. 28(24): 3324-3325 (2012) - [j6]Yu Lin, Vaibhav Rajan, Bernard M. E. Moret:
A Metric for Phylogenetic Trees Based on Matching. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1014-1022 (2012) - 2011
- [j5]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): 1131-1139 (2011) - [c5]Yu Lin, Vaibhav Rajan, Bernard M. E. Moret:
A Metric for Phylogenetic Trees Based on Matching. ISBRA 2011: 197-208 - [c4]Yu Lin, Vaibhav Rajan, Bernard M. E. Moret:
Bootstrapping Phylogenies Inferred from Rearrangement Data. WABI 2011: 175-187 - 2010
- [j4]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): 30 (2010) - [j3]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): 54 (2010) - [j2]Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret:
Sorting Signed Permutations by Inversions in O(nlogn) Time. J. Comput. Biol. 17(3): 489-501 (2010) - [c3]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: 137-148
2000 – 2009
- 2009
- [j1]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): 1339-1351 (2009) - [c2]Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret:
Sorting Signed Permutations by Inversions in O(nlogn) Time. RECOMB 2009: 386-399 - 2008
- [c1]Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret:
Hurdles Hardly Have to Be Heeded. RECOMB-CG 2008: 241-251
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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