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Anoop Kumar
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Journal Articles
- 2024
- [j30]Abdul Hamid Ganie, Mohamed Houas, Sombir Dhaniya, Anoop Kumar, Karthikeyan Panjaiayan, Kulandhaivel Karthikeyan:
Existence and stability results for fractional boundary value problems in Banach spaces. J. Appl. Math. Comput. 70(3): 2149-2167 (2024) - [j29]Koteswara Rao Ch
, Kunwar Singh, Anoop Kumar:
The oblivious comparison sorting protocols for secure multi-party computation. Multim. Tools Appl. 83(26): 67763-67777 (2024) - [j28]Karunesh K. Shukla
Detection of Aphid-Infested Mustard Crop Using Ground Spectroscopy. Remote. Sens. 16(1): 47 (2024) - 2023
- [j27]Shashi Bhushan
Some Optimal Classes of Estimators Based on Multi-Auxiliary Information. Axioms 12(6): 515 (2023) - [j26]Shashi Bhushan
Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling. Axioms 12(6): 558 (2023) - [j25]Shashi Bhushan
An Efficient Class of Estimators in Stratified Random Sampling with an Application to Real Data. Axioms 12(6): 576 (2023) - [j24]Shashi Bhushan
Novel predictive estimators using ranked set sampling. Concurr. Comput. Pract. Exp. 35(3) (2023) - [j23]Shashi Bhushan
Estimation of population mean in presence of missing data under simple random sampling. Commun. Stat. Simul. Comput. 52(12): 6048-6069 (2023) - [j22]Khushboo Jain
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
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) - 2022
- [j19]Shashi Bhushan
New efficient logarithmic estimators using multi-auxiliary information under ranked set sampling. Concurr. Comput. Pract. Exp. 34(27) (2022) - [j18]Khushboo Jain
An innovative framework for balanced cluster-based data aggregation in sensor networks. Int. J. Commun. Syst. 35(13) (2022) - [j17]Shashi Bhushan
Efficient classes of estimators for population variance using attribute. Int. J. Math. Oper. Res. 22(1): 74-92 (2022) - [j16]Pushpendra Kumar
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
Predictive estimation approach using difference and ratio type estimators in ranked set sampling. J. Comput. Appl. Math. 410: 114214 (2022) - [j14]Diptesh Datta
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) - 2021
- [j13]Khushboo Jain
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
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
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]Ch. Koteswara Rao
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
A Resilient Steady Clustering Technique for Sensor Networks. Int. J. Appl. Evol. Comput. 11(4): 1-12 (2020) - [j8]Khushboo Jain
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
An energy-efficient prediction model for data aggregation in sensor network. J. Ambient Intell. Humaniz. Comput. 11(11): 5205-5216 (2020) - [j6]Asharul Islam
Efficient resourceful mobile cloud architecture (mRARSA) for resource demanding applications. J. Cloud Comput. 9: 9 (2020) - 2019
- [j5]Kamal Kant, Uma Ranjan Lal, Anoop Kumar
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
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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c35]Mohammad Ashique E. Rasool, Anoop Kumar, Asharul Islam, Mohammad Nadeem Ahmed:
Exploring Task Offloading in Mobile Edge Computing Environments: An In-Depth Review and Prospective Analysis. ATSIP 2024: 622-627 - [c34]Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan:
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain. LREC/COLING 2024: 572-583 - [c33]Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar:
Correcting Language Model Outputs by Editing Salient Layers. EACL (Findings) 2024: 1295-1305 - [c32]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) 2024: 1357-1370 - [c31]Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. NAACL (Industry Track) 2024: 359-367 - 2023
- [c30]Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan:
Measuring and Mitigating Local Instability in Deep Neural Networks. ACL (Findings) 2023: 2810-2823 - [c29]Kuan-Hao Huang
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. ACL (1) 2023: 8047-8061 - [c28]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. ACL (Findings) 2023: 8506-8515 - [c27]Yue Gao
Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences. CIKM 2023: 4581-4587 - [c26]Arun Kumar Singh, Anoop Kumar, Retik Singh:
Investigate the IoT Devices Used in Smart Cities and Assess what Kind of Data They Collect. IC3I 2023: 1663-1668 - [c25]Myeongseob Ko
PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models. RAID 2023: 264-281 - 2022
- [c24]Kuan-Hao Huang
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 - 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 - 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
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 - 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 - 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
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
- [c5]Noah M. Daniels, Anoop Kumar, Lenore Cowen
Touring Protein Space with Matt. ISBRA 2010: 18-28 - 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
Editorship
- 2024
- [e1]Yi Yang, Aida Davani, Avi Sil, Anoop Kumar:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-120-9 [contents]
Informal and Other Publications
- 2024
- [i13]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR abs/2402.15833 (2024) - [i12]Anoop Kumar, Suresh Dodda, Navin Kamuni
The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions. CoRR abs/2404.00526 (2024) - [i11]Anoop Kumar, Suresh Dodda, Navin Kamuni
Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets. CoRR abs/2404.07225 (2024) - [i10]Anoop Kumar, Madan Mohan Tito Ayyalasomayajula
Optimizing Photometric Light Curve Analysis: Evaluating Scipy's Minimize Function for Eclipse Mapping of Cataclysmic Variables. CoRR abs/2406.00071 (2024) - [i9]Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. CoRR abs/2406.17304 (2024) - [i8]Neal Lawton, Aishwarya Padmakumar, Judith Gaspers, Jack FitzGerald, Anoop Kumar, Greg Ver Steeg, Aram Galstyan:
QuAILoRA: Quantization-Aware Initialization for LoRA. CoRR abs/2410.14713 (2024) - 2023
- [i7]Arghya Datta
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
- [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) - 2020
- [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) - 2017
- [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
- [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)
Coauthor Index
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last updated on 2024-11-28 20:29 CET by the dblp team
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