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ORCIDAbhinav Kumar
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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Other persons with the same name
- Abhinav Kumar 0001
![[0000-0002-6468-7054]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6468-7054")
— Indian Institute of Technology Hyderabad, Department of Electrical Engineering, India - Abhinav Kumar 0002 — University of Illinois at Chicago, IL, USA
- Abhinav Kumar 0003 — Indian Institute of Technology (BHU), Varanasi, Uttar, India
- Abhinav Kumar 0004 — Michigan State University, MI, USA (and 4 more)
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2020 – today
- 2023
[j18]Abhinav Kumar, Mamoni Paitandi, Mahendra Kumar Gupta:
Impulse Eliminations for Rectangular Descriptor Systems: A Unified Approach. IEEE Control. Syst. Lett. 7: 1357-1362 (2023)- [j17]Abhinav Kumar, Venkatesh Tentu, Dheeraj Naidu Amudala, Rohit Budhiraja:
WSEE Optimization of Cell-Free mMIMO Uplink Using Deep Deterministic Policy Gradient. IEEE Commun. Lett. 27(1): 219-223 (2023) - [j16]Ashish Singh, Abhinav Kumar, Zahid Akhtar, Muhammad Khurram Khan:
Guest Editorial: Cybersecurity Intelligence in the Healthcare System. IEEE Trans. Ind. Informatics 19(1): 809-812 (2023) - [c38]Shweta Verma, S. Abhirami, Abhinav Kumar, SaiDhiraj Amuru:
Double Deep Reinforcement Learning assisted Handovers in 5G and Beyond Cellular Networks. COMSNETS 2023: 466-470 - 2022
- [j15]Soumen Roy, Jitesh Pradhan, Abhinav Kumar, Dibya Ranjan Das Adhikary, Utpal Roy, Devadatta Sinha, Rajat Kumar Pal:
A Systematic Literature Review on Latest Keystroke Dynamics Based Models. IEEE Access 10: 92192-92236 (2022) - [j14]Abhinav Kumar, Jyoti Prakash Singh, Yogesh K. Dwivedi, Nripendra P. Rana:
A deep multi-modal neural network for informative Twitter content classification during emergencies. Ann. Oper. Res. 319(1): 791-822 (2022) - [j13]Quynh C. Nguyen, Thomas W. Belnap, Pallavi Dwivedi, Amir Hossein Nazem Deligani, Abhinav Kumar, Dapeng Li, Ross T. Whitaker, Jessica Keralis, Heran Mane, Xiaohe Yue, Thu T. Nguyen, Tolga Tasdizen, Kim D. Brunisholz:
Google Street View Images as Predictors of Patient Health Outcomes, 2017-2019. Big Data Cogn. Comput. 6(1): 15 (2022) - [j12]Abhinav Kumar, Pradeep Kumar, Subodh Srivastava:
A skewness reformed complex diffusion based unsharp masking for the restoration and enhancement of Poisson noise corrupted mammograms. Biomed. Signal Process. Control. 73: 103421 (2022) - [j11]Pradeep Kumar Roy, Abhinav Kumar:
Early prediction of COVID-19 using ensemble of transfer learning. Comput. Electr. Eng. 101: 108018 (2022) - [j10]Abhinav Kumar, Jyoti Prakash Singh, Amit Kumar Singh:
Randomized Convolutional Neural Network Architecture for Eyewitness Tweet Identification During Disaster. J. Grid Comput. 20(3): 20 (2022) - [j9]Jyoti Prakash Singh, Abhinav Kumar, Nripendra P. Rana, Yogesh K. Dwivedi:
Attention-Based LSTM Network for Rumor Veracity Estimation of Tweets. Inf. Syst. Frontiers 24(2): 459-474 (2022) - [j8]Abhinav Kumar, Jyoti Prakash Singh, Amit Kumar Singh:
COVID-19 Fake News Detection Using Ensemble-Based Deep Learning Model. IT Prof. 24(2): 32-37 (2022) - [j7]Renikunta Mallaiah, Vejandla Kishore, V. V. Mani, Abhinav Kumar, Mathini Sellathurai:
An embedded pilot power based channel estimation and low-complexity feedback equalization scheme for OTFS system. Phys. Commun. 55: 101875 (2022) - [c37]Pradeep Kumar Roy, Snehaan Bhawal, Abhinav Kumar, Bharathi Raja Chakravarthi:
IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning. LT-EDI 2022: 120-126 - [c36]Abhinav Kumar, Sunil Saumya, Pradeep Roy:
SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments. LT-EDI 2022: 223-228 - [c35]Abhinav Kumar, Reza Tourani, Mona Vij, Srikathyayani Srikanteswara:
SCLERA: A Framework for Privacy-Preserving MLaaS at the Pervasive Edge. PerCom Workshops 2022: 175-180 - [i10]Abhinav Kumar, Chenhao Tan, Amit Sharma:
Probing Classifiers are Unreliable for Concept Removal and Detection. CoRR abs/2207.04153 (2022) - [i9]Abhinav Kumar, Gaurav Sinha:
Disentangling Mixtures of Unknown Causal Interventions. CoRR abs/2210.03242 (2022) - 2021
- [j6]Rajnish Pandey, Abhinav Kumar, Jyoti Prakash Singh, Sudhakar Tripathi:
Hybrid attention-based Long Short-Term Memory network for sarcasm identification. Appl. Soft Comput. 106: 107348 (2021) - [c34]Rakshita Jain, Devanshi Goel, Prashant Sahu, Abhinav Kumar, Jyoti Prakash Singh:
Profiling Hate Speech Spreaders on Twitter. CLEF (Working Notes) 2021: 2011-2024 - [c33]Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark:
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. EMNLP (1) 2021: 7318-7328 - [c32]Abhinav Kumar, Pradeep Kumar Roy, Sunil Saumya:
An Ensemble Approach for Hate and Offensive Language Identification in English and Indo-Aryan Languages. FIRE (Working Notes) 2021: 439-445 - [c31]Snehaan Bhawal, Pradeep Roy, Abhinav Kumar:
Hate Speech and Offensive Language Identification on Multilingual Code Mixed Text using BERT. FIRE (Working Notes) 2021: 615-624 - [c30]Anu Priya, Abhinav Kumar:
Hate and Offensive Content Identification from Dravidian Social Media Posts: A Deep Learning Approach. FIRE (Working Notes) 2021: 636-642 - [c29]Jyoti Kumari, Abhinav Kumar:
Offensive Language Identification on Multilingual Code Mixing Text. FIRE (Working Notes) 2021: 643-650 - [c28]Abhinav Kumar, Sunil Saumya, Pradeep Kumar Roy:
Abusive and Threatening Language Detection from Urdu Social Media Posts: A machine learning approach. FIRE (Working Notes) 2021: 784-790 - [c27]Abhinav Kumar, Pradeep Kumar Roy, Jyoti Prakash Singh:
A Deep Learning Approach for Identification of Arabic Misogyny from Tweets. FIRE (Working Notes) 2021: 831-838 - [c26]Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh:
An Ensemble-Based Model for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts. FIRE (Working Notes) 2021: 950-958 - [c25]Jyoti Kumari, Abhinav Kumar:
A Deep Neural Network-based Model for the Sentiment Analysis of Dravidian Code-mixed Social Media Posts. FIRE (Working Notes) 2021: 959-966 - [c24]Ankit Kumar Mishra, Sunil Saumya, Abhinav Kumar:
Sentiment Analysis of Dravidian-CodeMix Language. FIRE (Working Notes) 2021: 1011-1019 - [c23]Pradeep Kumar Roy, Abhinav Kumar:
Sentiment Analysis on Tamil Code-Mixed Text using Bi-LSTM. FIRE (Working Notes) 2021: 1044-1050 - [c22]Abhinav Kumar, Jyoti Kumari:
A Machine Learning Approach for Fake News Detection from Urdu Social Media Posts. FIRE (Working Notes) 2021: 1168-1174 - [c21]Abhinav Kumar, Pradeep Kumar Roy, Jyoti Prakash Singh:
Bidirectional Encoder Representations from Transformers for the COVID-19 vaccine stance classification. FIRE (Working Notes) 2021: 1216-1220 - [c20]Gunjan Kumar, Jyoti Prakash Singh, Abhinav Kumar:
A Deep Multi-modal Neural Network for the Identification of Hate Speech from Social Media. I3E 2021: 670-680 - [c19]Rakesh Roy, Amit Kumar, Abhinav Kumar, Anindita Jamatia, Prabir Ranjan Kasari, Bikram Das, Abanishwar Chakrabarti:
MMCC Based Decoupled Control of PMSG for Small Scale Hydro Power Plants. IECON 2021: 1-6 - [c18]Abhinav Kumar, Gaurav Sinha:
Disentangling mixtures of unknown causal interventions. UAI 2021: 2093-2102 - [i8]Raj Jagtap, Abhinav Kumar, Rahul Goel, Shakshi Sharma, Rajesh Sharma, Clint P. George:
Misinformation Detection on YouTube Using Video Captions. CoRR abs/2107.00941 (2021) - [i7]Feras A. Batarseh, Rasika Mohod, Abhinav Kumar, Justin Bui:
The application of artificial intelligence in software engineering: a review challenging conventional wisdom. CoRR abs/2108.01591 (2021) - [i6]Feras A. Batarseh, Abhinav Kumar, Sam Eisenberg:
The history and future prospects of open data and open source software. CoRR abs/2108.01592 (2021) - [i5]Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark:
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. CoRR abs/2110.14207 (2021) - 2020
- [j5]Vejandla Kishore, Venkata Vakamulla Mani, Wasiu O. Popoola, Abhinav Kumar:
Implementation of Linearly Pulse Shaped Generalised Frequency Division Multiplexing for Visible Light Communication Systems. IEEE Open J. Commun. Soc. 1: 1614-1622 (2020) - [c17]Ankit Kumar Mishra, Sunil Saumya, Abhinav Kumar:
IIIT_DWD@HASOC 2020: Identifying offensive content in Indo-European languages. FIRE (Working Notes) 2020: 139-144 - [c16]Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh:
NITP-AI-NLP@HASOC-FIRE2020: Fine Tuned BERT for the Hate Speech and Offensive Content Identification from Social Media. FIRE (Working Notes) 2020: 266-273 - [c15]Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh:
NITP-AI-NLP@HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text. FIRE (Working Notes) 2020: 384-390 - [c14]Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh:
NITP-AI-NLP@UrduFake-FIRE2020: Multi-layer Dense Neural Network for Fake News Detection in Urdu News Articles. FIRE (Working Notes) 2020: 458-463 - [c13]Abhinav Kumar, Sunil Saumya, Jyoti Prakash Singh:
NITP-AI-NLP@Dravidian-CodeMix-FIRE2020: A Hybrid CNN and Bi-LSTM Network for Sentiment Analysis of Dravidian Code-Mixed Social Media Posts. FIRE (Working Notes) 2020: 582-590 - [c12]BhanuPrakash Ramisetti, Abhinav Kumar:
Methods for Cellular Network's Operation in Unlicensed mmWave Bands. NCC 2020: 1-6
2010 – 2019
- 2019
- [j4]Jyoti Prakash Singh, Yogesh K. Dwivedi, Nripendra P. Rana, Abhinav Kumar, Kawaljeet Kaur Kapoor:
Event classification and location prediction from tweets during disasters. Ann. Oper. Res. 283(1-2): 737-757 (2019) - [c11]Abhinav Kumar, Priyank Saxena:
Quantification of Cartilage loss for Automatic Detection and Classification of Osteoarthritis using Machine Learning approach. ICCCNT 2019: 1-6 - [e1]Subir Biswas, Animesh Mukherjee, Mun Choon Chan, Sandip Chakraborty, Abhinav Kumar, Giridhar Mandyam, Rajeev Shorey:
Communication Systems and Networks - 10th International Conference, COMSNETS 2018, Bangalore, India, January 3-7, 2018, Extended Selected Papers. Lecture Notes in Computer Science 11227, Springer 2019, ISBN 978-3-030-10658-4 [contents] - [i4]Abhinav Kumar, Jyoti Prakash Singh:
Location reference identification from tweets during emergencies: A deep learning approach. CoRR abs/1901.08241 (2019) - 2018
- [c10]Feras A. Batarseh, Shruthi Chanthati, Nithin Kotte, Abhinav Kumar:
Augmenting Policy Making for Autonomous Vehicles Through Geoinformatics and Psychographics. Agro-Geoinformatics 2018: 1-5 - [c9]Abhinav Kumar, Zhiwu Xie:
Acquiring Web Content From In-Memory Cache. JCDL 2018: 359-360 - [c8]Abhinav Kumar, Prasant Misra:
Session details: Poster Presentations. MobiCom 2018 - 2017
- [c7]Abhinav Kumar, Jyoti Prakash Singh, Nripendra P. Rana:
Authenticity of Geo-Location and Place Name in Tweets. AMCIS 2017 - 2015
- [j3]Padmaja Natarajan, Marco Punta, Abhinav Kumar, Andrew P. Yeh, Adam Godzik, L. Aravind:
Structure and sequence analyses of Bacteroides proteins BVU_4064 and BF1687 reveal presence of two novel predominantly-beta domains, predicted to be involved in lipid and cell surface interactions. BMC Bioinform. 16: 7:1-7:9 (2015) - [c6]Abhinav Kumar, Sibi Raj B. Pillai, Rahul Vaze, Aditya Gopalan:
Optimal WiFi sensing via dynamic programming. WiOpt 2015: 54-61 - 2014
- [j2]Abhinav Kumar, Satyanarayana V. Lokam, Vijay M. Patankar, Jayalal Sarma:
Using Elimination Theory to Construct Rigid Matrices. Comput. Complex. 23(4): 531-563 (2014) - [i3]Abhinav Kumar, Rahul Vaze, Sibi Raj B. Pillai, Aditya Gopalan:
Optimal WiFi Sensing via Dynamic Programming. CoRR abs/1410.7528 (2014) - 2013
- [c5]Henry Cohn, Abhinav Kumar, Christian Reiher, Achill Schürmann:
Formal duality and generalizations of the Poisson summation formula. Discrete Geometry and Algebraic Combinatorics 2013 - [c4]Arjun Mukherjee, Abhinav Kumar, Bing Liu, Junhui Wang, Meichun Hsu, Malú Castellanos, Riddhiman Ghosh:
Spotting opinion spammers using behavioral footprints. KDD 2013: 632-640 - 2012
- [c3]Vinayak Nayyar, Abhinav Kumar:
An interactive and efficient voice processing system for embedded applications. MECO 2012: 38-41 - 2011
- [c2]Mohanapriya Chittoor Sundaramurthy, Sandesh N. Chayapathy, Abhinav Kumar, David Akopian:
Wi-Fi assistance to SUPL-based Assisted-GPS simulators for indoor positioning. CCNC 2011: 918-922
2000 – 2009
- 2009
- [c1]Abhinav Kumar, Satyanarayana V. Lokam, Vijay M. Patankar, Jayalal Sarma:
Using Elimination Theory to construct Rigid Matrices. FSTTCS 2009: 299-310 - [i2]Abhinav Kumar, Satyanarayana V. Lokam, Vijay M. Patankar, Jayalal Sarma:
Using Elimination Theory to construct Rigid Matrices. CoRR abs/0910.5301 (2009) - [i1]Abhinav Kumar, Satyanarayana V. Lokam, Vijay M. Patankar, Jayalal Sarma:
Using Elimination Theory to construct Rigid Matrices. Electron. Colloquium Comput. Complex. TR09 (2009) - 2007
- [j1]Henry Cohn, John H. Conway, Noam D. Elkies, Abhinav Kumar:
The D 4 Root System Is Not Universally Optimal. Exp. Math. 16(3): 313-320 (2007)
Coauthor Index
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last updated on 2023-03-25 01:08 CET by the dblp team
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