Anoop Kumar

Orcid: 0009-0007-9124-7541

According to our database1, Anoop Kumar authored at least 62 papers between 2004 and 2024.

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Bibliography

2024
Detection of Aphid-Infested Mustard Crop Using Ground Spectroscopy.
Remote. Sens., January, 2024

The Emotional Impact of Game Duration: A Framework for Understanding Player Emotions in Extended Gameplay Sessions.
CoRR, 2024

Prompt Perturbation Consistency Learning for Robust Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Correcting Language Model Outputs by Editing Salient Layers.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Estimation of population mean in presence of missing data under simple random sampling.
Commun. Stat. Simul. Comput., December, 2023

Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling.
Axioms, June, 2023

An Efficient Class of Estimators in Stratified Random Sampling with an Application to Real Data.
Axioms, June, 2023

Some Optimal Classes of Estimators Based on Multi-Auxiliary Information.
Axioms, June, 2023

Novel predictive estimators using ranked set sampling.
Concurr. Comput. Pract. Exp., February, 2023

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., January, 2023

New efficient class of estimators of population mean using two-phase sampling.
Int. J. Math. Oper. Res., 2023

Enhanced estimation of population mean under two-phase sampling.
Int. J. Math. Model. Numer. Optimisation, 2023

PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models.
Proceedings of the 26th International Symposium on Research in Attacks, 2023

Investigate the IoT Devices Used in Smart Cities and Assess what Kind of Data They Collect.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

Predicting Interaction Quality of Conversational Assistants With Spoken Language Understanding Model Confidences.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Measuring and Mitigating Local Instability in Deep Neural Networks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A 10T, 0.22fJ/Bit/Search Mixed-V<sub>T</sub> Pseudo Precharge-Free Content Addressable Memory.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Predictive estimation approach using difference and ratio type estimators in ranked set sampling.
J. Comput. Appl. Math., 2022

Prediction studies of the epidemic peak of coronavirus disease in Japan: From Caputo derivatives to Atangana-Baleanu derivatives.
Int. J. Model. Simul. Sci. Comput., 2022

Efficient classes of estimators for population variance using attribute.
Int. J. Math. Oper. Res., 2022

An innovative framework for balanced cluster-based data aggregation in sensor networks.
Int. J. Commun. Syst., 2022

New efficient logarithmic estimators using multi-auxiliary information under ranked set sampling.
Concurr. Comput. Pract. Exp., 2022

Temporal Generalization for Spoken Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Graph Convolutional Neural Networks for Alzheimer's Classification with Transfer Learning and HPC Methods.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Learning Under Label Noise for Robust Spoken Language Understanding systems.
Proceedings of the Interspeech 2022, 2022

Task Scheduling and Load Balancing for Minimization of Response Time in IoT Assisted Cloud Environments.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Oblivious stable sorting protocol and oblivious binary search protocol for secure multi-party computation.
J. High Speed Networks, 2021

ST-DAM: exploiting spatial and temporal correlation for energy-efficient data aggregation method in heterogeneous WSN.
Int. J. Wirel. Mob. Comput., 2021

A mathematical study of a tuberculosis model with fractional derivatives.
Int. J. Model. Simul. Sci. Comput., 2021

A lightweight data transmission reduction method based on a dual prediction technique for sensor networks.
Trans. Emerg. Telecommun. Technol., 2021

2020
Efficient resourceful mobile cloud architecture (mRARSA) for resource demanding applications.
J. Cloud Comput., 2020

An energy-efficient prediction model for data aggregation in sensor network.
J. Ambient Intell. Humaniz. Comput., 2020

Energy-Efficient Data-Aggregation Technique for Correlated Spatial and Temporal Data in Cluster-Based Sensor Networks.
Int. J. Bus. Data Commun. Netw., 2020

A Resilient Steady Clustering Technique for Sensor Networks.
Int. J. Appl. Evol. Comput., 2020

Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks.
Proceedings of the First Workshop on Insights from Negative Results in NLP, 2020

2019
A merged molecular docking, ADME-T and dynamics approaches towards the genus of <i>Arisaema</i> as herpes simplex virus type 1 and type 2 inhibitors.
Comput. Biol. Chem., 2019

2018
Docking techniques in pharmacology: How much promising?
Comput. Biol. Chem., 2018

SAGE: a comprehensive resource of genetic variants integrating South Asian whole genomes and exomes.
Database J. Biol. Databases Curation, 2018

On the Linear Programming Duals of Temporal Reasoning Problems.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

Alert Generation in Execution Monitoring Using Resource Envelopes.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Calibrating User Bias In Sentiment Estimation From Social Media.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Load Scheduling of Simple Temporal Networks Under Dynamic Resource Pricing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining.
CoRR, 2017

A Distributed Logical Filter for Connected Row Convex Constraints.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Experiences with DERIVA: An Asset Management Platform for Accelerating eScience.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Temporal learning and sequence modeling for a job recommender system.
Proceedings of the 2016 Recommender Systems Challenge, 2016

2015
Scaling NLP algorithms to meet high demand.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


2014
Researching persons & organizations: AWAKE: From text to an entity-centric knowledge base.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Leveraging candidate popularity on Twitter to predict election outcome.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013

Application of discriminative models for interactive query refinement in video retrieval.
Proceedings of the Sixth International Conference on Machine Vision, 2013

2011
Online Speech Activity Detection in Broadcast News.
Proceedings of the INTERSPEECH 2011, 2011

2010
Recognition of beta-structural motifs using hidden Markov models trained with simulated evolution.
Bioinform., 2010

Touring Protein Space with Matt.
Proceedings of the Bioinformatics Research and Applications, 6th International Symposium, 2010

2009
Augmented training of hidden Markov models to recognize remote homologs via simulated evolution.
Bioinform., 2009

2007
Visual understanding environment.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

Educational application integration with digital repository.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2007

2005
Visual understanding environment.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2005

2004
Architecting an extensible digital repository.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2004


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