Vaibhav Rajan - RankMe

85 papers A* 12B 3C 11Journal 43Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Joint LLM-KG System for Disease Q&A. IEEE J. Biomed. Health Informatics Prakash Chandra Sukhwal, Vaibhav Rajan, Atreyi Kankanhalli
2025	J	`jnl`	Farm-Level, In-Season Crop Identification for India. CoRR Ishan Deshpande, Amandeep Kaur Reehal, Chandan Nath, Renu Singh, Aayush Patel, Aishwarya Jayagopal, Gaurav Singh, Gaurav Aggarwal, Amit Agarwal, Prathmesh Bele, Sridhar Reddy, Tanya Warrier, Kinjal Singh, Ashish Tendulkar, Luis Pazos Outon, Nikita Saxena, Agata Dondzik, Dinesh Tewari, Shruti Garg, Avneet Singh, Harsh Dhand, Vaibhav Rajan, Alok Talekar
2025	A*	`conf`	GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment. ICLR Aishwarya Jayagopal, Yanrong Zhang, Robert John Walsh, Tuan Zea Tan, Anand D. Jeyasekharan, Vaibhav Rajan
2025	J	`jnl`	Segmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineation. CoRR Aditi Agarwal, Anjali Jain, Nikita Saxena, Ishan Deshpande, Michal Kazmierski, Abigail Annkah, Nadav Sherman, Karthikeyan Shanmugam, Alok Talekar, Vaibhav Rajan
2024	—	`conf`	4D Geo Modelling from Different Sources at Large Scale. SUMAC@ ACM Multimedia Sander Münster, Jonas Bruschke, Daniel Dworak, Dávid Komorowicz, Vaibhav Rajan, Dominik Ukolov
2024	J	`jnl`	A Joint-Reasoning based Disease Q&A System. CoRR Prakash Chandra Sukhwal, Vaibhav Rajan, Atreyi Kankanhalli
2024	J	`jnl`	ASTER: A Method to Predict Clinically Relevant Synthetic Lethal Genetic Interactions. IEEE J. Biomed. Health Informatics Herty Liany, Aishwarya Jayagopal, Dachuan Huang, Jing Quan Lim, Nur Izzah NBH, Anand Jeyasekharan, Choon Kiat Ong, Vaibhav Rajan
2024	A*	`conf`	Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning. ICLR Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan
2024	J	`jnl`	Evaluating Explanations From AI Algorithms for Clinical Decision-Making: A Social Science-Based Approach. IEEE J. Biomed. Health Informatics Suparna Ghanvatkar, Vaibhav Rajan
2024	J	`jnl`	Mixture-Models: a one-stop Python Library for Model-based Clustering using various Mixture Models. CoRR Siva Rajesh Kasa, Yijie Hu, Santhosh Kumar Kasa, Vaibhav Rajan
2024	A*	`conf`	Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. KDD 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
2024	J	`jnl`	Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information. CoRR 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
2024	A*	`conf`	WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. ICML Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan
2024	J	`jnl`	WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer. CoRR Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan
2023	J	`jnl`	ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units. IEEE J. Biomed. Health Informatics Shivin Srivastava, Vaibhav Rajan
2023	J	`jnl`	Three-Dimensional Modelling of Past and Present Shahjahanabad through Multi-Temporal Remotely Sensed Data. Remote. Sens. Vaibhav Rajan, Mila Koeva, Monika Kuffer, Andre Da Silva Mano, Shubham Mishra
2022	J	`jnl`	An Algorithm to Mine Therapeutic Motifs for Cancer From Networks of Genetic Interactions. IEEE J. Biomed. Health Informatics Herty Liany, Yu Lin, Anand Jeyasekharan, Vaibhav Rajan
2022	C	`conf`	Designing a Healthcare QA Assistant: A Knowledge Based Approach. ICIS Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan
2022	J	`jnl`	ExpertNet: A Symbiosis of Classification and Clustering. CoRR Shivin Srivastava, Kenji Kawaguchi, Vaibhav Rajan
2022	A*	`conf`	Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction. NeurIPS Hansheng Xue, Vaibhav Rajan, Yu Lin
2022	J	`jnl`	Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction. CoRR Hansheng Xue, Vaibhav Rajan, Yu Lin
2022	J	`jnl`	Neural Collective Matrix Factorization for integrated analysis of heterogeneous biomedical data. Bioinform. Ragunathan Mariappan, Aishwarya Jayagopal, Ho Zong Sien, Vaibhav Rajan
2022	A*	`conf`	RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning. AAAI Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
2022	C	`conf`	Towards a Theory-Based Evaluation of Explainable Predictions in Healthcare. ICIS Suparna Ghanvatkar, Vaibhav Rajan
2021	J	`jnl`	CAC: A Clustering Based Framework for Classification. CoRR Shivin Srivastava, Siddharth Bhatia, Lingxiao Huang, Lim Jun Heng, Kenji Kawaguchi, Vaibhav Rajan
2021	C	`conf`	Dependency Modeling with Copulas in Multi-Armed Bandits. ICIS Siva Rajesh Kasa, Vaibhav Rajan
2021	J	`jnl`	Exact Pareto Optimal Search for Multi-Task Learning: Touring the Pareto Front. CoRR Debabrata Mahapatra, Vaibhav Rajan
2021	C	`conf`	Expect the Unexpected: Engaging Users via Serendipitous Recommendations. ICIS Wei Cui, Vaibhav Rajan, Zhenhui Jiang
2021	J	`jnl`	Maximum likelihood reconstruction of ancestral networks by integer linear programming. Bioinform. Vaibhav Rajan, Ziqi Zhang, Carl Kingsford, Xiuwei Zhang
2021	J	`jnl`	Multi-disease Predictive Analytics: A Clinical Knowledge-aware Approach. ACM Trans. Manag. Inf. Syst. Lin Qiu, Sruthi Gorantla, Vaibhav Rajan, Bernard C. Y. Tan
2021	J	`jnl`	Multi-way Clustering and Discordance Analysis through Deep Collective Matrix Tri-Factorization. CoRR Ragunathan Mariappan, Vaibhav Rajan
2021	A*	`conf`	Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. WWW Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
2021	J	`jnl`	Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. CoRR Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
2021	J	`jnl`	RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning. CoRR Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
2020	C	`conf`	Adverse Drug Event Prediction using Noisy Literature-Derived Knowledge Graphs. ICIS Abel Lim Jun Hong, Ragunathan Mariappan, Vaibhav Rajan
2020	C	`conf`	An IoT-based DSS using Vehicle Movement Data for Nature Parks. ICIS Prakash Chandra Sukhwal, Atreyi Kankanhalli, Vaibhav Rajan
2020	J	`jnl`	Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping. Bioinform. Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan
2020	J	`jnl`	MetaBCC-LR: metagenomics binning by coverage and composition for long reads. Bioinform. Anuradha Wickramarachchi, Vijini Mallawaarachchi, Vaibhav Rajan, Yu Lin
2020	J	`jnl`	Model-based Clustering using Automatic Differentiation: Confronting Misspecification and High-Dimensional Data. CoRR Siva Rajesh Kasa, Vaibhav Rajan
2020	A*	`conf`	Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization. ICML Debabrata Mahapatra, Vaibhav Rajan
2020	J	`jnl`	Multi-way Spectral Clustering of Augmented Multi-view Data through Deep Collective Matrix Tri-factorization. CoRR Ragunathan Mariappan, Vaibhav Rajan
2020	J	`jnl`	Predicting synthetic lethal interactions using heterogeneous data sources. Bioinform. Herty Liany, Anand Jeyasekharan, Vaibhav Rajan
2019	C	`conf`	Battling Alzheimer's Disease through Early Detection: A Deep Multimodal Learning Approach. ICIS Lin Qiu, Vaibhav Rajan, Bernard C. Y. Tan
2019	A*	`conf`	Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks. WWW Lakshmanan Rakkappan, Vaibhav Rajan
2019	C	`conf`	Deep Recurrent Neural Networks for Mortality Prediction in Intensive Care using Clinical Time Series at Multiple Resolutions. ICIS Suparna Ghanvatkar, Vaibhav Rajan
2019	J	`jnl`	Deep collective matrix factorization for augmented multi-view learning. Mach. Learn. Ragunathan Mariappan, Vaibhav Rajan
2019	A*	`conf`	Inferring Concept Prerequisite Relations from Online Educational Resources. AAAI Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
2018	—	`conf`	Automatic Hierarchical Table of Contents Generation for Educational Videos. WWW (Companion Volume) Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan
2018	J	`jnl`	Deep Collective Matrix Factorization for Augmented Multi-View Learning. CoRR Ragunathan Mariappan, Vaibhav Rajan
2018	C	`conf`	Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis. ICIS Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanhalli
2018	—	`conf`	Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks. ACL (1) Aishwarya Jadhav, Vaibhav Rajan
2018	J	`jnl`	Inferring Concept Prerequisite Relations from Online Educational Resources. CoRR Sudeshna Roy, Meghana Madhyastha, Sheril Lawrence, Vaibhav Rajan
2018	—	`conf`	VideoKen: Automatic Video Summarization and Course Curation to Support Learning. WWW (Companion Volume) Debabrata Mahapatra, Ragunathan Mariappan, Vaibhav Rajan, Kuldeep Yadav, Seby A., Sudeshna Roy
2017	A*	`conf`	ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. AAAI Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava
2017	—	`conf`	Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models. EMBC Abhishek Sengupta, A. P. Prathosh, Satya Narayan Shukla, Vaibhav Rajan, Chandan K. Reddy
2017	J	`jnl`	Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies. Mach. Learn. Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya
2016	J	`jnl`	A Statistical Model for Stroke Outcome Prediction and Treatment Planning. CoRR Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
2016	—	`conf`	A statistical model for stroke outcome prediction and treatment planning. EMBC Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G. R. K. Sarma
2016	J	`jnl`	Analysis of gene copy number changes in tumor phylogenetics. Algorithms Mol. Biol. Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Bing Feng, Jijun Tang
2016	—	`conf`	Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores. PAKDD Workshops Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek
2016	A*	`conf`	Dependency Clustering of Mixed Data with Gaussian Mixture Copulas. IJCAI Vaibhav Rajan, Sakyajit Bhattacharya
2016	J	`jnl`	Predicting Complications in Critical Care Using Heterogeneous Clinical Data. IEEE Access Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy
2015	—	`conf`	Classification with imbalance: A similarity-based method for predicting respiratory failure. BIBM Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan
2015	J	`jnl`	Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. Hum. Comput. Sakyajit Bhattacharya, Laura Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan
2015	C	`conf`	Maximum Parsimony Analysis of Gene Copy Number Changes. WABI Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Jijun Tang
2014	—	`conf`	A novel classification method for predicting acute hypotensive episodes in critical care. BCB Sakyajit Bhattacharya, Vaibhav Rajan, Vijay Huddar
2014	B	`conf`	Adaptive Performance Optimization over Crowd Labor Channels. HCOMP Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan
2014	B	`conf`	CrowdUtility: A Recommendation System for Crowdsourcing Platforms. HCOMP Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta
2014	—	`conf`	Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals. EMBC Vijay Huddar, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy
2013	—	`conf`	Adaptive crowdsourcing for temporal crowds. WWW (Companion Volume) L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan
2013	—	`conf`	CrowdUtility: know the crowd that works for you. CHI Extended Abstracts Koustuv Dasgupta, Vaibhav Rajan, Saraschandra Karanam, Kovendhan Ponnavaikko, Chithralekha Balamurugan, Nischal M. Piratla
2012	J	`jnl`	A Metric for Phylogenetic Trees Based on Matching. IEEE ACM Trans. Comput. Biol. Bioinform. Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2012	J	`jnl`	Bootstrapping phylogenies inferred from rearrangement data. Algorithms Mol. Biol. Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2012	—	`—`	Reconstruction of Large-Scale Phylogenies - Advances in Algorithms and Statistical Methods. Vaibhav Rajan
2012	J	`jnl`	TIBA: a tool for phylogeny inference from rearrangement data with bootstrap analysis. Bioinform. Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2011	—	`conf`	A Metric for Phylogenetic Trees Based on Matching. ISBRA Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2011	C	`conf`	Bootstrapping Phylogenies Inferred from Rearrangement Data. WABI Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2011	J	`jnl`	Fast and Accurate Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Novel Robustness Estimator. J. Comput. Biol. Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2010	J	`jnl`	Estimating true evolutionary distances under rearrangements, duplications, and losses. BMC Bioinform. Yu Lin, Vaibhav Rajan, Krister M. Swenson, Bernard M. E. Moret
2010	—	`conf`	Fast and Accurate Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Novel Robustness Estimator. RECOMB-CG Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2010	J	`jnl`	Heuristics for the inversion median problem. BMC Bioinform. Vaibhav Rajan, Andrew Wei Xu, Yu Lin, Krister M. Swenson, Bernard M. E. Moret
2010	J	`jnl`	Sorting Signed Permutations by Inversions in J. Comput. Biol. Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret
2009	J	`jnl`	Hurdles and Sorting by Inversions: Combinatorial, Statistical, and Experimental Results. J. Comput. Biol. Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret
2009	B	`conf`	Sorting Signed Permutations by Inversions in O(nlogn) Time. RECOMB Krister M. Swenson, Vaibhav Rajan, Yu Lin, Bernard M. E. Moret
2008	—	`conf`	Hurdles Hardly Have to Be Heeded. RECOMB-CG Krister M. Swenson, Yu Lin, Vaibhav Rajan, Bernard M. E. Moret