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2020 – today
- 2023
[j23]Shashi Bhushan, Anoop Kumar
:
Novel predictive estimators using ranked set sampling. Concurr. Comput. Pract. Exp. 35(3) (2023)- [j22]Khushboo Jain, Anoop Kumar, Akansha Singh:
Data transmission reduction techniques for improving network lifetime in wireless sensor networks: An up-to-date survey from 2017 to 2022. Trans. Emerg. Telecommun. Technol. 34(1) (2023) - [j21]Shashi Bhushan, Anoop Kumar:
Enhanced estimation of population mean under two-phase sampling. Int. J. Math. Model. Numer. Optimisation 13(1): 34-48 (2023) - [j20]Shashi Bhushan, Anoop Kumar:
New efficient class of estimators of population mean using two-phase sampling. Int. J. Math. Oper. Res. 24(2): 155-172 (2023) - [i7]Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan:
Measuring and Mitigating Local Instability in Deep Neural Networks. CoRR abs/2305.10625 (2023) - [i6]Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan:
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. CoRR abs/2305.16585 (2023) - [i5]Neal Lawton, Anoop Kumar, Govind Thattai, Aram Galstyan, Greg Ver Steeg:
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models. CoRR abs/2305.16597 (2023) - 2022
- [j19]Shashi Bhushan, Anoop Kumar:
New efficient logarithmic estimators using multi-auxiliary information under ranked set sampling. Concurr. Comput. Pract. Exp. 34(27) (2022) - [j18]Khushboo Jain, Anoop Kumar:
An innovative framework for balanced cluster-based data aggregation in sensor networks. Int. J. Commun. Syst. 35(13) (2022) - [j17]Shashi Bhushan, Anoop Kumar, Sumit Kumar:
Efficient classes of estimators for population variance using attribute. Int. J. Math. Oper. Res. 22(1): 74-92 (2022) - [j16]Pushpendra Kumar, Norodin A. Rangaig, Hamadjam Abboubakar, Anoop Kumar, Adhiyaman Manickam:
Prediction studies of the epidemic peak of coronavirus disease in Japan: From Caputo derivatives to Atangana-Baleanu derivatives. Int. J. Model. Simul. Sci. Comput. 13(1): 2250012:1-2250012:32 (2022) - [j15]Shashi Bhushan, Anoop Kumar:
Predictive estimation approach using difference and ratio type estimators in ranked set sampling. J. Comput. Appl. Math. 410: 114214 (2022) - [j14]Diptesh Datta, Neelam Surana, Anoop Kumar, Joycee Mekie:
A 10T, 0.22fJ/Bit/Search Mixed-VT Pseudo Precharge-Free Content Addressable Memory. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1572-1576 (2022) - [c24]Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. EMNLP (Findings) 2022: 1547-1554 - [c23]Arun Kumar Singh, Anoop Kumar:
Task Scheduling and Load Balancing for Minimization of Response Time in IoT Assisted Cloud Environments. IC3I 2022: 144-148 - [c22]Anoop Kumar, Pankaj Kumar Sharma, Aravind Illa, Sriram Venkatapathy, Subhrangshu Nandi, Pritam Varma, Anurag Dwarakanath, Aram Galstyan:
Learning Under Label Noise for Robust Spoken Language Understanding systems. INTERSPEECH 2022: 3463-3467 - [c21]Anoop Kumar, Vibha Balaji, M. A. Chandrashekar, Ambedkar Dukkipati, Sathish Vadhiyar:
Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods. IPDPS Workshops 2022: 186-195 - [c20]Judith Gaspers, Anoop Kumar, Greg Ver Steeg, Aram Galstyan:
Temporal Generalization for Spoken Language Understanding. NAACL-HLT (Industry Papers) 2022: 37-44 - [i4]Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. CoRR abs/2211.00881 (2022) - 2021
- [j13]Khushboo Jain, Anoop Kumar:
A lightweight data transmission reduction method based on a dual prediction technique for sensor networks. Trans. Emerg. Telecommun. Technol. 32(11) (2021) - [j12]Hamadjam Abboubakar, Pushpendra Kumar, Vedat Suat Ertürk, Anoop Kumar:
A mathematical study of a tuberculosis model with fractional derivatives. Int. J. Model. Simul. Sci. Comput. 12(4): 2150037:1-2150037:26 (2021) - [j11]Khushboo Jain, Anoop Kumar:
ST-DAM: exploiting spatial and temporal correlation for energy-efficient data aggregation method in heterogeneous WSN. Int. J. Wirel. Mob. Comput. 21(3): 285-294 (2021) - [j10]C. H. Koteswara Rao, Kunwar Singh, Anoop Kumar:
Oblivious stable sorting protocol and oblivious binary search protocol for secure multi-party computation. J. High Speed Networks 27(1): 67-82 (2021) - 2020
- [j9]Khushboo Jain, Anoop Kumar, Vaibhav Vyas:
A Resilient Steady Clustering Technique for Sensor Networks. Int. J. Appl. Evol. Comput. 11(4): 1-12 (2020) - [j8]Khushboo Jain, Anoop Kumar:
Energy-Efficient Data-Aggregation Technique for Correlated Spatial and Temporal Data in Cluster-Based Sensor Networks. Int. J. Bus. Data Commun. Netw. 16(2): 53-68 (2020) - [j7]Khushboo Jain, Anoop Kumar:
An energy-efficient prediction model for data aggregation in sensor network. J. Ambient Intell. Humaniz. Comput. 11(11): 5205-5216 (2020) - [j6]Asharul Islam, Anoop Kumar, Khalid Mohiuddin, Sadaf Yasmin, Mohammed Abdul Khaleel, Mohammad Rashid Hussain:
Efficient resourceful mobile cloud architecture (mRARSA) for resource demanding applications. J. Cloud Comput. 9: 9 (2020) - [c19]Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta:
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. Insights 2020: 22-31 - [i3]Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta:
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. CoRR abs/2010.04249 (2020)
2010 – 2019
- 2019
- [j5]Kamal Kant, Uma Ranjan Lal, Anoop Kumar, Manik Ghosh:
A merged molecular docking, ADME-T and dynamics approaches towards the genus of Arisaema as herpes simplex virus type 1 and type 2 inhibitors. Comput. Biol. Chem. 78: 217-226 (2019) - 2018
- [j4]Judith Mary Hariprakash, Shamsudheen Karuthedath Vellarikkal, Ankit Verma, Anop Singh Ranawat, Rijith Jayarajan, Rowmika Ravi, Anoop Kumar, Vishal Dixit, Ambily Sivadas, Atul Kumar Kashyap, Vigneshwar Senthivel, Paras Sehgal, Vijayalakshmi Mahadevan, Vinod Scaria, Sridhar Sivasubbu:
SAGE: a comprehensive resource of genetic variants integrating South Asian whole genomes and exomes. Database J. Biol. Databases Curation 2018: bay080 (2018) - [j3]Meenakshi Gupta, Ruchika Sharma, Anoop Kumar:
Docking techniques in pharmacology: How much promising? Comput. Biol. Chem. 76: 210-217 (2018) - [c18]T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing. AAAI 2018: 6227-6236 - [c17]Sara Kangaslahti, Anoop Kumar:
Calibrating User Bias In Sentiment Estimation From Social Media. IEEE BigData 2018: 3682-3690 - [c16]T. K. Satish Kumar, Hong Xu, Zheng Tang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
Alert Generation in Execution Monitoring Using Resource Envelopes. FLAIRS 2018: 38-43 - [c15]T. K. Satish Kumar, Zhi Wang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
On the Linear Programming Duals of Temporal Reasoning Problems. ISAIM 2018 - 2017
- [c14]Alejandro Bugacov, Karl Czajkowski, Carl Kesselman, Anoop Kumar, Robert E. Schuler, Hongsuda Tangmunarunkit:
Experiences with DERIVA: An Asset Management Platform for Accelerating eScience. eScience 2017: 79-88 - [c13]T. K. Satish Kumar, Hong Xu, Zheng Tang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
A Distributed Logical Filter for Connected Row Convex Constraints. ICTAI 2017: 96-101 - [i2]Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro A. Szekely:
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. CoRR abs/1712.03086 (2017) - 2016
- [c12]Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan:
Temporal learning and sequence modeling for a job recommender system. RecSys Challenge 2016: 7:1-7:4 - [i1]Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan:
Temporal Learning and Sequence Modeling for a Job Recommender System. CoRR abs/1608.03333 (2016) - 2015
- [c11]Anthony Hoogs, A. G. Amitha Perera, Roderic Collins, Arslan Basharat, Keith Fieldhouse, Chuck Atkins, Linus Sherrill, Benjamin Boeckel, Russell Blue, Matthew Woehlke, C. Greco, Zhaohui Sun, Eran Swears, Naresh P. Cuntoor, J. Luck, B. Drew, D. Hanson, D. Rowley, J. Kopaz, T. Rude, D. Keefe, Amit Srivastava, Saurabh Khanwalkar, Anoop Kumar, Chia-Chih Chen, J. K. Aggarwal, Larry S. Davis, Yaser Yacoob, A. Jain, Dong Liu, Shih-Fu Chang, Bi Song, Amit K. Roy-Chowdhury, Kenneth Sullivan, Jelena Tesic, Shivkumar Chandrasekaran, B. S. Manjunath, X. Wang, Qiang Ji, K. Reddy, J. Liu, Mubarak Shah, K. Chang, Tsuhan Chen, Mita Desai:
An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement. AVSS 2015: 1-6 - [c10]Connor Stokes, Anoop Kumar, Frederick Choi, Ralph M. Weischedel:
Scaling NLP algorithms to meet high demand. IEEE BigData 2015: 2839 - 2014
- [c9]Elizabeth Boschee, Marjorie Freedman, Saurabh Khanwalkar, Anoop Kumar, Amit Srivastava, Ralph M. Weischedel:
Researching persons & organizations: AWAKE: From text to an entity-centric knowledge base. IEEE BigData 2014: 1030-1039 - 2013
- [c8]Amit Srivastava, Saurabh Khanwalkar, Anoop Kumar:
Application of discriminative models for interactive query refinement in video retrieval. ICMV 2013: 90671N - [c7]Manish Gaurav, Amit Srivastava, Anoop Kumar, Scott Miller:
Leveraging candidate popularity on Twitter to predict election outcome. SNAKDD 2013: 7:1-7:8 - 2011
- [c6]Chao Gao, Guruprasad Saikumar, Saurabh Khanwalkar, Avi Herscovici, Anoop Kumar, Amit Srivastava, Premkumar Natarajan:
Online Speech Activity Detection in Broadcast News. INTERSPEECH 2011: 2637-2640 - 2010
- [j2]Anoop Kumar, Lenore Cowen:
Recognition of beta-structural motifs using hidden Markov models trained with simulated evolution. Bioinform. 26(12): 287-293 (2010) - [c5]Noah M. Daniels, Anoop Kumar, Lenore Cowen, Matthew Menke:
Touring Protein Space with Matt. ISBRA 2010: 18-28
2000 – 2009
- 2009
- [j1]Anoop Kumar, Lenore Cowen:
Augmented training of hidden Markov models to recognize remote homologs via simulated evolution. Bioinform. 25(13): 1602-1608 (2009) - 2007
- [c4]Robert Chavez, Anoop Kumar, Nikolai Schwertner:
Educational application integration with digital repository. JCDL 2007: 476 - [c3]Anoop Kumar:
Visual understanding environment. JCDL 2007: 510 - 2005
- [c2]Anoop Kumar, Ranjani Saigal:
Visual understanding environment. JCDL 2005: 413 - 2004
- [c1]Anoop Kumar, Ranjani Saigal, Robert Chavez, Nikolai Schwertner:
Architecting an extensible digital repository. JCDL 2004: 2-10
Coauthor Index
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last updated on 2023-06-09 01:32 CEST by the dblp team
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