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ORCIDRahul Singh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Rahul Singh 0001
![[0000-0003-0363-3666]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0363-3666")
— Indian Institute of Science, Bengaluru, India (and 3 more)
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2020 – today
- 2023
[j84]Rahul Singh, Yongxin Chen:
Learning Gaussian Hidden Markov Models From Aggregate Data. IEEE Control. Syst. Lett. 7: 478-483 (2023)- 2022
- [j83]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Learning hidden Markov models from aggregate observations. Autom. 137: 110100 (2022) - [j82]Rahul Singh, Vijay Kumar Bhardwaj, Pralay Das, Dhananjay Bhattacherjee, Grigory V. Zyryanov, Rituraj Purohit:
Benchmarking the ability of novel compounds to inhibit SARS-CoV-2 main protease using steered molecular dynamics simulations. Comput. Biol. Medicine 146: 105572 (2022) - [j81]Qinsheng Zhang, Rahul Singh, Yongxin Chen:
Inference of Aggregate Hidden Markov Models With Continuous Observations. IEEE Control. Syst. Lett. 6: 2377-2382 (2022) - [j80]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Inference With Aggregate Data in Probabilistic Graphical Models: An Optimal Transport Approach. IEEE Trans. Autom. Control. 67(9): 4483-4497 (2022) - [c131]Sahinur Rahman Laskar, Rahul Singh, Md Faizal Karim, Riyanka Manna, Partha Pakray, Sivaji Bandyopadhyay:
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation. WAT@COLING 2022: 117-122 - [c130]Kunal Thapar, Rahul Singh, Zubair Md. Fadlullah, Mostafa M. Fouda, Nidal Nasser, Asmaa Ali:
A Hybrid AI Model for Improving COVID-19 Sentiment Analysis in Social Networks. ICC 2022: 1752-1757 - [c129]Rahul Singh, Keuntaek Lee, Yongxin Chen:
Sample-based Distributional Policy Gradient. L4DC 2022: 676-688 - [c128]Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer:
Walking with PACE - Personalized and Automated Coaching Engine. UMAP 2022: 57-68 - [i35]Rahul Singh:
Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions. CoRR abs/2201.05139 (2022) - [i34]Rahul Singh, Vasilis Syrgkanis:
Automatic Debiased Machine Learning for Dynamic Treatment Effects. CoRR abs/2203.13887 (2022) - [i33]Omkar Patil, Rahul Singh, Tarun Joshi:
Understanding Metrics for Paraphrasing. CoRR abs/2205.13119 (2022) - [i32]Soham Raste, Rahul Singh, Joel Vaughan, Vijayan N. Nair:
Quantifying Inherent Randomness in Machine Learning Algorithms. CoRR abs/2206.12353 (2022) - [i31]Rahul Singh, Yongxin Chen:
Signed Graph Neural Networks: A Frequency Perspective. CoRR abs/2208.07323 (2022) - [i30]Omkar Bhilare, Rahul Singh, Vedant Paranjape, Sravan Chittupalli, Shraddha Suratkar, Faruk Kazi:
DEEPFAKE CLI: Accelerated Deepfake Detection using FPGAs. CoRR abs/2210.14743 (2022) - 2021
- [b1]Rahul Singh:
Design Techniques for Frequency Reconfigurability in Multi-Standard RF Transceivers. Carnegie Mellon University, USA, 2021 - [j79]Zachary Prince, Deeptanshu Jha, Rahul Singh:
DUI: the drug use insights web server. Bioinform. 37(24): 4895-4897 (2021) - [j78]Vijay Kumar Bhardwaj, Rahul Singh, Pralay Das, Rituraj Purohit:
Evaluation of acridinedione analogs as potential SARS-CoV-2 main protease inhibitors and their comparison with repurposed anti-viral drugs. Comput. Biol. Medicine 128: 104117 (2021) - [j77]Rahul Singh, Vijay Kumar Bhardwaj, Pralay Das, Rituraj Purohit:
A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2. Comput. Biol. Medicine 135: 104555 (2021) - [j76]Rahul Singh, Vijay Kumar Bhardwaj, Jatin Sharma, Dinesh Kumar, Rituraj Purohit:
Identification of potential plant bioactive as SARS-CoV-2 Spike protein and human ACE2 fusion inhibitors. Comput. Biol. Medicine 136: 104631 (2021) - [j75]Meenakshi Duhan, Parvin Kumar, Jayant Sindhu, Rahul Singh, Meena Devi, Ashwani Kumar, Ramesh Kumar, Sohan Lal:
Exploring biological efficacy of novel benzothiazole linked 2, 5-disubstituted-1, 3, 4-oxadiazole hybrids as efficient α-amylase inhibitors: Synthesis, characterization, inhibition, molecular docking, molecular dynamics and Monte Carlo based QSAR studies. Comput. Biol. Medicine 138: 104876 (2021) - [j74]Rahul Singh, Vijay Kumar Bhardwaj, Rituraj Purohit:
Potential of turmeric-derived compounds against RNA-dependent RNA polymerase of SARS-CoV-2: An in-silico approach. Comput. Biol. Medicine 139: 104965 (2021) - [j73]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Incremental Inference of Collective Graphical Models. IEEE Control. Syst. Lett. 5(2): 421-426 (2021) - [j72]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
Binary glioma grading framework employing locality preserving projections and Gaussian radial basis function support vector machine. Int. J. Imaging Syst. Technol. 31(4): 2047-2059 (2021) - [j71]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
M.R. brain tumor classification employing ICA and kernel-based support vector machine. Signal Image Video Process. 15(3): 501-510 (2021) - [j70]Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Multi-Marginal Optimal Transport and Probabilistic Graphical Models. IEEE Trans. Inf. Theory 67(7): 4647-4668 (2021) - [j69]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
Computer-aided diagnostic network for brain tumor classification employing modulated Gabor filter banks. Vis. Comput. 37(8): 2157-2171 (2021) - [c127]Tahmina Sultana, Rahul Singh:
Impact of the Interplay Between Visualization Styles and Cognitive Bias on Managerial Cognition. AMCIS 2021 - [c126]Deeptanshu Jha, Samantha R. La Marca, Rahul Singh:
Identifying and Characterizing Opioid Addiction States Using Social Media Posts. BIBM 2021: 913-918 - [c125]Rahul Singh, Yongxin Chen:
Inference of collective Gaussian hidden Markov models. CDC 2021: 1637-1643 - [i29]Victor Chernozhukov, Whitney Newey, Rahul Singh, Vasilis Syrgkanis:
Adversarial Estimation of Riesz Representers. CoRR abs/2101.00009 (2021) - [i28]Rahul Singh:
Debiased Kernel Methods. CoRR abs/2102.11076 (2021) - [i27]Rahul Singh, Karan Jindal, Yufei Yu, Hanyu Yang, Tarun Joshi, Matthew A. Campbell, Wayne B. Shoumaker:
Robustness Tests of NLP Machine Learning Models: Search and Semantically Replace. CoRR abs/2104.09978 (2021) - [i26]Wei Zhao, Rahul Singh, Tarun Joshi, Agus Sudjianto, Vijayan N. Nair:
Self-interpretable Convolutional Neural Networks for Text Classification. CoRR abs/2105.08589 (2021) - [i25]Victor Chernozhukov, Whitney K. Newey, Rahul Singh:
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees. CoRR abs/2105.15197 (2021) - [i24]Anish Agarwal, Rahul Singh:
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy. CoRR abs/2107.02780 (2021) - [i23]Rahul Singh, Yongxin Chen:
Inference of collective Gaussian hidden Markov models. CoRR abs/2107.11662 (2021) - [i22]Archit Parnami, Rahul Singh, Tarun Joshi:
Pruning Attention Heads of Transformer Models Using A* Search: A Novel Approach to Compress Big NLP Architectures. CoRR abs/2110.15225 (2021) - [i21]Rahul Singh, Liyuan Xu, Arthur Gretton:
Kernel Methods for Multistage Causal Inference: Mediation Analysis and Dynamic Treatment Effects. CoRR abs/2111.03950 (2021) - [i20]Rahul Singh:
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection. CoRR abs/2111.05277 (2021) - [i19]Rahul Singh:
A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects. CoRR abs/2112.14249 (2021) - 2020
- [j68]Deeptanshu Jha, Rahul Singh:
SMARTS: the social media-based addiction recovery and intervention targeting server. Bioinform. 36(6): 1970-1972 (2020) - [j67]Deeptanshu Jha, Rahul Singh:
Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling. BMC Bioinform. 21-S(18): 554 (2020) - [j66]Rahul Singh, Gokul Subramanian Ravi, Mikko H. Lipasti, Joshua San Miguel:
Value Locality Based Approximation With ODIN. IEEE Comput. Archit. Lett. 19(2): 88-91 (2020) - [j65]Vijay Kumar Bhardwaj, Rahul Singh, Jatin Sharma, Pralay Das, Rituraj Purohit:
Structural based study to identify new potential inhibitors for dual specificity tyrosine-phosphorylation- regulated kinase. Comput. Methods Programs Biomed. 194: 105494 (2020) - [j64]Rahul Singh, Aditya Goel, Deepak Kumar Raghuvanshi:
Ensemble-based glioma grade classification using Gabor filter bank and rotation forest. IET Image Process. 14(15): 3851-3858 (2020) - [j63]Utkarsh Agrawal, Jatin Arora, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia:
Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron. ACM Trans. Multim. Comput. Commun. Appl. 16(Special): 1-20 (2020) - [c124]Jim Jenkins, Rahul Singh:
Investigating Data Visualization Decision Errors: Do Tools Enable Users to Make Bad Decisions and more confidently? AMCIS 2020 - [c123]Brigid Akyamaa Appiah Otoo, Rahul Singh:
The Mediating Role of Blockchain Competencies on the Information Sharing and Supply Chain Performance Link. AMCIS 2020 - [c122]Shrirang P. Sahasrabudhe, Rahul Singh:
Interaction Strategies of Blind Web Users - A Qualitative Study. AMCIS 2020 - [c121]Anjana Umapathy, Karthik Radhakrishnan, Kinjal Jain, Rahul Singh:
CiteQA@CLSciSumm 2020. SDP@EMNLP 2020: 297-302 - [c120]Anand Kumar, Rahul Singh, Yiqin Cai, Santiago Grijalva:
Smart Home Energy Management System With Optimal Source Selection in a Real-Time Pricing Environment. ICCE 2020: 1-6 - [c119]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. L4DC 2020: 958-968 - [i18]Rahul Singh, Keuntaek Lee, Yongxin Chen:
Sample-based Distributional Policy Gradient. CoRR abs/2001.02652 (2020) - [i17]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Inference with Aggregate Data: An Optimal Transport Approach. CoRR abs/2003.13933 (2020) - [i16]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Improving Robustness via Risk Averse Distributional Reinforcement Learning. CoRR abs/2005.00585 (2020) - [i15]Isabel Haasler, Rahul Singh, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Multi-marginal optimal transport and probabilistic graphical models. CoRR abs/2006.14113 (2020) - [i14]Rahul Singh, Isabel Haasler, Qinsheng Zhang, Johan Karlsson, Yongxin Chen:
Incremental inference of collective graphical models. CoRR abs/2006.15035 (2020) - [i13]Rahul Singh, Tarun Joshi, Vijayan N. Nair, Agus Sudjianto:
Model Robustness with Text Classification: Semantic-preserving adversarial attacks. CoRR abs/2008.05536 (2020) - [i12]Rahul Singh, Liyuan Xu, Arthur Gretton:
Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning. CoRR abs/2010.04855 (2020) - [i11]Rahul Singh, Aayush Sharma, Prashant Singh, Ganesh Balasubramanian, Duane D. Johnson:
Accelerating computational modeling and design of high-entropy alloys. CoRR abs/2010.12107 (2020) - [i10]Qinsheng Zhang, Rahul Singh, Yongxin Chen:
Filtering for Aggregate Hidden Markov Models with Continuous Observations. CoRR abs/2011.02521 (2020) - [i9]Agus Sudjianto, William Knauth, Rahul Singh, Zebin Yang, Aijun Zhang:
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification. CoRR abs/2011.04041 (2020) - [i8]Rahul Singh, Qinsheng Zhang, Yongxin Chen:
Learning Hidden Markov Models from Aggregate Observations. CoRR abs/2011.11236 (2020) - [i7]Rahul Singh:
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments. CoRR abs/2012.10315 (2020)
2010 – 2019
- 2019
- [j62]Indika Dissanayake, Sridhar P. Nerur, Rahul Singh, Yang Lee:
Medical Crowdsourcing: Harnessing the "Wisdom of the Crowd" to Solve Medical Mysteries. J. Assoc. Inf. Syst. 20(11): 4 (2019) - [j61]Rahul Singh, Ankur Ravindra Bodhe, Pranav Kanuparthi, Aditya Ananthakrishnan, Jeremy Pitt:
From Classification to Definition: The Changing Nature of Human Adjudication. IEEE Technol. Soc. Mag. 38(4): 55-62 (2019) - [c118]Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong:
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. ACSSC 2019: 680-684 - [c117]Rahul Singh, Yoon Jeon Kim:
Systematic Approach to Develop Sustainable Makerspaces in Resource-Constrained Schools. FabLearn 2019: 164-167 - [c116]Susnata Mondal, Rahul Singh, Jeyanandh Paramesh:
A Reconfigurable Bidirectional 28/37/39GHz Front-End Supporting MIMO-TDD, Carrier Aggregation TDD and FDD/Full-Duplex with Self-Interference Cancellation in Digital and Fully Connected Hybrid Beamformers. ISSCC 2019: 348-350 - [c115]Rahul Singh, Maneesh Sahani, Arthur Gretton:
Kernel Instrumental Variable Regression. NeurIPS 2019: 4595-4607 - [i6]Rahul Singh, Maneesh Sahani, Arthur Gretton:
Kernel Instrumental Variable Regression. CoRR abs/1906.00232 (2019) - [i5]Rahul Singh, Liyang Sun:
De-biased Machine Learning for Compliers. CoRR abs/1909.05244 (2019) - 2018
- [j60]Pavel Skums, Alex Zelikovsky, Rahul Singh, Walker Gussler, Zoya Dimitrova, Sergey Knyazev, Igor Mandric, Sumathi Ramachandran, David S. Campo, Deeptanshu Jha, Leonid Bunimovich, Elizabeth Costenbader, Connie Sexton, Siobhán O'Connor, Guo-liang Xia, Yury Khudyakov:
QUENTIN: reconstruction of disease transmissions from viral quasispecies genomic data. Bioinform. 34(1): 163-170 (2018) - [j59]Jeffrey D. Wall, Rahul Singh:
The Organization Man and the Innovator: Theoretical Archetypes to Inform Behavioral Information Security Research. Data Base 49(SI): 67-80 (2018) - [j58]Susnata Mondal, Rahul Singh, Ahmed I. Hussein, Jeyanandh Paramesh:
A 25-30 GHz Fully-Connected Hybrid Beamforming Receiver for MIMO Communication. IEEE J. Solid State Circuits 53(5): 1275-1287 (2018) - [j57]Rahul Singh, Rachel Beasley, Thavy Long, Conor R. Caffrey:
Algorithmic Mapping and Characterization of the Drug-Induced Phenotypic-Response Space of Parasites Causing Schistosomiasis. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 469-481 (2018) - [c114]Daniel Asarnow, Rahul Singh:
Determining Dose-Response Characteristics of Molecular Perturbations in Whole-Organism Assays Using Biological Imaging and Machine Learning. BIBM 2018: 283-290 - [c113]Susnata Mondal, Rahul Singh, Jeyanandh Paramesh:
A reconfigurable 28/37GHz hybrid-beamforming MIMO receiver with inter-band carrier aggregation and RF-domain LMS weight adaptation. ISSCC 2018: 72-74 - [c112]Rahul Singh, Akshay Chaturvedi, C. K. Ramesha:
Smart health-care monitoring system - Optical heart rate monitor. RAIT 2018: 1-4 - [i4]Rahul Singh, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
Physics-aware Deep Generative Models for Creating Synthetic Microstructures. CoRR abs/1811.09669 (2018) - [i3]Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D. Johnson, Soumik Sarkar:
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. CoRR abs/1811.09724 (2018) - 2017
- [j56]Thomas Olson, Rahul Singh:
Predicting anatomic therapeutic chemical classification codes using tiered learning. BMC Bioinform. 18(8): 266:1-266:13 (2017) - [j55]Jeffrey D. Wall, Rahul Singh:
Contextualized Meaning Extraction: A Meta-Algorithm for Big Data Text Mining with Pragmatics. Int. J. Organ. Collect. Intell. 7(3): 15-29 (2017) - [j54]Dmytro Babik, Rahul Singh, Xia Zhao, Eric W. Ford:
What you think and what I think: Studying intersubjectivity in knowledge artifacts evaluation. Inf. Syst. Frontiers 19(1): 31-56 (2017) - [c111]Abdullah Oguz, Rahul Singh:
The Effectiveness of Enterprise Social Media Use: Impact of National Culture and Organizational Culture. AMCIS 2017 - [c110]Ryan Eshleman, Deeptanshu Jha, Rahul Singh:
Identifying individuals amenable to drug recovery interventions through computational analysis of addiction content in social media. BIBM 2017: 849-854 - [c109]Ravi Shanker, Rahul Singh, Mahua Bhattacharya:
Segmentation of tumor and edema based on K-mean clustering and hierarchical centroid shape descriptor. BIBM 2017: 1105-1109 - [c108]Mukta Sharma, Rahul Singh, Mahua Bhattacharya:
Classification of breast tumors as benign and malignant using textural feature descriptor. BIBM 2017: 1110-1113 - [c107]Atreyee Maiti, Rahul Singh, Ramesh Chandra, Himanshu Shukla:
QUEST: Search-Driven Management of Cloud-Scale Data Centers. IC2E 2017: 175-182 - [c106]Deeptanshu Jha, Pavel Skums, Alex Zelikovsky, Yury Khudyakov, Rahul Singh:
Modeling the Spread of HIV and HCV Infections Based on Identification and Characterization of High-Risk Communities Using Social Media. ISBRA 2017: 425-430 - 2016
- [j53]Jakob Dohrmann, Rahul Singh:
The SMAL web server: global multiple network alignment from pairwise alignments. Bioinform. 32(21): 3330-3332 (2016) - [j52]Ryan Eshleman, Rahul Singh:
Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams. BMC Bioinform. 17(S-13): 335 (2016) - [j51]Yang Xu, Yong Liu, Rahul Singh, Shu Tao:
SDN state inconsistency verification in openstack. Comput. Networks 110: 364-376 (2016) - [j50]Rahul Singh, Amit Kumar, T. V. Vijay Kumar:
Distributed query plan generation using multi-objective ant colony optimisation. Int. J. Artif. Intell. Soft Comput. 5(3): 241-262 (2016) - [j49]Richelle L. Oakley, Rahul Singh:
Examining Ethical Decision Making Behavior in E-Learning Systems: A Socio-technical Analysis. Int. J. Cyber Ethics Educ. 4(2): 41-56 (2016) - [c105]Rahul Singh, Abhishek Chakraborty, B. S. Manoj:
On spectral analysis of node centralities. ANTS 2016: 1-5 - [c104]Shrirang P. Sahasrabudhe, Rahul Singh:
Accessibility Problems of Blind MHealth Users, a Pilot Study. AMCIS 2016 - [c103]Rahul Singh, Prateek Agarwal, Mahua Bhattacharya:
MR brain tumor detection employing Laplacian Eigen maps and kernel support vector machine. BIBM 2016: 827-830 - [c102]Rahul Singh:
Computational analysis of drug addiction epidemiology by integrating molecular mapping and social media signals. ICCABS 2016: 1 - [c101]Ryan Eshleman, Rahul Singh:
Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees. ISBRA 2016: 136-147 - [i2]Rahul Singh, Abhishek Chakraborty, B. S. Manoj:
Graph Fourier Transform based on Directed Laplacian. CoRR abs/1601.03204 (2016) - 2015
- [j48]Daniel Asarnow, Liliana Rojo-Arreola, Brian M. Suzuki, Conor R. Caffrey, Rahul Singh:
The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens. Bioinform. 31(9): 1515-1518 (2015) - [j47]T. V. Vijay Kumar, Rahul Singh, Amit Kumar:
Distributed Query Plan Generation using Ant Colony Optimization. Int. J. Appl. Metaheuristic Comput. 6(1): 1-22 (2015) - [c100]Thomas Olson, Rahul Singh:
Computational prediction of ATC codes of drug-like compounds using tiered learning. ICCABS 2015: 1 - [c99]Donald Heath, Rakesh Babu, Rahul Singh, Shrirang P. Sahasrabudhe:
Changing Employers Cognition: Personal Mobile Technology as a Workplace Enabler for Blind and Visually Impaired Workers. ICIS 2015 - [c98]Yang Xu, Yong Liu, Rahul Singh, Shu Tao:
Identifying SDN state inconsistency in OpenStack. SOSR 2015: 11:1-11:7 - [c97]Mohammad Daneshvar Kakhki, Rahul Singh, Kathy White Loyd:
Developing Health Analytics Design Artifact for Improved Patient Activation: An On-going Case Study. WorldCIST (1) 2015: 733-739 - 2014
- [j46]Daniel Asarnow, Rahul Singh:
Automatic classification of protein structures using low-dimensional structure space mappings. BMC Bioinform. 15(S-2): S1 (2014) - [j45]Rahul Singh, Prateek Sharma, David E. Irwin, Prashant J. Shenoy, K. K. Ramakrishnan:
Here Today, Gone Tomorrow: Exploiting Transient Servers in Datacenters. IEEE Internet Comput. 18(4): 22-29 (2014) - [c96]Javier Diaz Montes, Mengsong Zou, Rahul Singh, Shu Tao, Manish Parashar:
Data-Driven Workflows in Multi-cloud Marketplaces. IEEE CLOUD 2014: 168-175 - [c95]Ahmed Gater, Rahul Singh:
Biological Image Indexing for Content-Based Retrieval of Drug Effects in Phenotypic Screening Data of Macroparasites. CBMS 2014: 300-303 - [c94]Donald Heath, Rahul Singh, Jai Ganesh:
Social Media at SocioSystems Inc.: A Socio-technical Systems Analysis of Strategic Action. HICSS 2014: 584-593 - [i1]Parul Kashyap, Rahul Singh:
Crypto multi tenant: an environment of secure computing using cloud sql. CoRR abs/1406.4681 (2014) - 2013
- [j44]Rahul Singh, Hui Yang, Ben Dalziel, Daniel Asarnow, William Murad, David Foote, Matthew Gormley, Jonathan Stillman, Susan Fisher:
Towards human-computer synergetic analysis of large-scale biological data. BMC Bioinform.