Animesh Kumar - RankMe

66 papers A* 2B 3C 4Misc 5Journal 32Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Role of Partisanship in Detection of Political Audio-visual Deepfakes: A Study on the 2024 U.S. Presidential Election. PACIS Animesh Kumar, Christoph Burtscher, Andreas Eckhardt
2025	—	`conf`	The Deepfake Effect: Drivers of Misjudgment of Authentic Political Audio-Visual Content. AMCIS Animesh Kumar, Christoph Burtscher, Andreas Eckhardt
2024	J	`jnl`	AI-Driven Innovations in Modern Cloud Computing. CoRR Animesh Kumar
2024	J	`jnl`	Analysis of SQL injection attacks in the cloud and in WEB applications. Secur. Priv. Animesh Kumar, Sandip Dutta, Prashant Pranav
2024	—	`conf`	Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. ACL (1) Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
2024	J	`jnl`	Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. CoRR Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
2024	—	`conf`	Cracking Political Deepfakes: An Exploratory Study to Unveil Cues for Detection. Wirtschaftsinformatik Animesh Kumar, Christoph Burtscher, Andreas Eckhardt
2024	A*	`conf`	Data Contamination Can Cross Language Barriers. EMNLP Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang
2024	J	`jnl`	Data Contamination Can Cross Language Barriers. CoRR Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang
2024	—	`conf`	Deep Reinforcement Learning Based Bandwidth Part Assignment in 5G NR-U. CCNC S. Ram Aditya, Shyamal Dhua, Animesh Kumar, Vimal Bastin Edwin Joseph, R. Rajavelsamy
2024	J	`jnl`	Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML). CoRR Animesh Kumar
2024	J	`jnl`	Sentiment-aware Enhancements of PageRank-based Citation Metric, Impact Factor, and H-index for Ranking the Authors of Scholarly Articles. Comput. Sci. Shikha Gupta, Animesh Kumar
2024	J	`jnl`	Sentiment-aware Enhancements of PageRank-based Citation Metric, Impact Factor, and H-index for Ranking the Authors of Scholarly Articles. CoRR Shikha Gupta, Animesh Kumar
2024	C	`conf`	Unmasking the Phantom: Discovering Exogenous Cues to Detect Political Deepfake Images. ICIS Animesh Kumar, Christoph Burtscher, Andreas Eckhardt
2022	J	`jnl`	Signal Reconstruction From Quantized Noisy Samples of the Discrete Fourier Transform. IEEE Trans. Signal Process. Mohak Goyal, Animesh Kumar
2022	J	`jnl`	Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform. CoRR Mohak Goyal, Animesh Kumar
2021	C	`conf`	Estimation of Time to Failure Distribution in SRAM Due to Trapped Oxide Charges. ISCAS Dimple Vijay Kochar, Animesh Kumar
2021	J	`jnl`	Signal Source Distribution Approximation to Speedup Scalar Quantizer Design. IEEE Trans. Signal Process. Vijay Anavangot, Animesh Kumar
2020	—	`conf`	A Transfer Learning Approach to Classify the Brain Age from MRI Images. BDA Animesh Kumar, Pramod Pathak, Paul Stynes
2020	—	`conf`	Algorithms for Overpredictive Signal Analytics in Federated Learning. EUSIPCO Vijay Anavangot, Animesh Kumar
2019	Misc	`conf`	A Novel Approximate Lloyd-max Quantizer and Its Analysis. ICASSP Vijay Anavangot, Animesh Kumar
2019	A*	`conf`	Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor. NeurIPS Meera Pai, Animesh Kumar
2019	—	`conf`	Feasibility assessment of location-unaware sensing for estimation of non-bandlimited measurements. IEEE SENSORS Shruti Sawant, Indrani Mukherjee, Siddharth G. Tallur, Animesh Kumar
2018	Misc	`conf`	Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. ICASSP Sudeep Salgia, Animesh Kumar
2018	—	`conf`	Estimation of Bandlimited Signals on Graphs From Single Bit Recordings of Noisy Samples. EUSIPCO Mohak Goyal, Animesh Kumar
2018	J	`jnl`	Novel Near-Optimal Scalar Quantizers with Exponential Decay Rate and Global Convergence. CoRR Vijay Anavangot, Animesh Kumar
2018	J	`jnl`	On Distributed Nonlinear Signal Analytics : Bandwidth and Approximation Error Tradeoffs. CoRR Vijay Anavangot, Animesh Kumar
2017	J	`jnl`	Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. CoRR Charvi Rastogi, Animesh Kumar
2017	J	`jnl`	On Bandlimited Field Estimation from Samples Recorded by a Location-Unaware Mobile Sensor. IEEE Trans. Inf. Theory Animesh Kumar
2017	J	`jnl`	On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. CoRR Sudeep Salgia, Animesh Kumar
2017	J	`jnl`	Optimal Envelope Approximation in Fourier Basis with Applications in TV White Space. CoRR Animesh Kumar
2017	J	`jnl`	Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process. CoRR Sudeep Salgia, Animesh Kumar
2016	J	`jnl`	Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid. CoRR Ankur Mallick, Animesh Kumar
2016	B	`conf`	Bandlimited field estimation from samples recorded by a location-unaware mobile sensor. ISIT Animesh Kumar
2016	Misc	`conf`	Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations. ICASSP Ankur Mallick, Animesh Kumar
2016	J	`jnl`	Blind Reconstruction of Binary Cyclic Codes From Unsynchronized Bitstream. IEEE Trans. Commun. Arti D. Yardi, Saravanan Vijayakumaran, Animesh Kumar
2016	J	`jnl`	Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise. CoRR Abhinav Kumar, Animesh Kumar
2016	—	`conf`	High rate quantization analysis for a class of finite rate of innovation signals. EUSIPCO Ajinkya Jayawant, Animesh Kumar
2016	—	`conf`	Optimal quantization of TV white space regions for a broadcast based geolocation database. EUSIPCO Garima Maheshwari, Animesh Kumar
2016	J	`jnl`	Toward enabling broadband for a billion plus population with TV white spaces. IEEE Commun. Mag. Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet Singh
2016	J	`jnl`	Towards Enabling Broadband for a Billon Plus Population with TV White Spaces. CoRR Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet Singh
2015	J	`jnl`	Bandlimited Spatial Field Sampling with Mobile Sensors in the Absence of Location Information. CoRR Animesh Kumar
2015	B	`conf`	How much TV UHF band spectrum is sufficient for rural broadband coverage? WiOpt Animesh Kumar, Rajeev Kumar, Punit Rathod, Abhay Karandikar
2015	J	`jnl`	Interference-constrained coverage algorithms in the protocol and SINR models. Wirel. Networks Prateek R. Kapadia, Om P. Damani, Animesh Kumar
2015	J	`jnl`	On Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations. IEEE Trans. Signal Process. Animesh Kumar
2015	—	`conf`	OpenPAWS: An open source PAWS and UHF TV White Space database implementation for India. NCC Soumik Ghosh, Gaurang Naik, Animesh Kumar, Abhay Karandikar
2015	J	`jnl`	Optimal Quantization of TV White Space Regions for a Broadcast Based Geolocation Database. CoRR Garima Maheshwari, Animesh Kumar
2015	Misc	`conf`	Sampling smooth spatio-temporal physical fields: When will the aliasing error increase with time? ICASSP Karthik Sharma, Animesh Kumar
2014	B	`conf`	Channel-code detection by a third-party receiver via the likelihood ratio test. ISIT Arti D. Yardi, Animesh Kumar, Saravanan Vijayakumaran
2014	—	`conf`	Quantitative assessment of TV white space in India. NCC Gaurang Naik, Sudesh Singhal, Animesh Kumar, Abhay Karandikar
2013	J	`jnl`	Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations CoRR Animesh Kumar
2013	Misc	`conf`	Estimation of bandlimited signals from the signs of noisy samples. ICASSP Animesh Kumar, Vinod M. Prabhakaran
2013	J	`jnl`	Quantitative Assessment of TV White Space in India. CoRR Gaurang Naik, Sudesh Singhal, Animesh Kumar, Abhay Karandikar
2012	J	`jnl`	Estimation of Bandlimited Signals in Additive Gaussian Noise: a "Precision Indifference" Principle CoRR Animesh Kumar, Vinod M. Prabhakaran
2012	J	`jnl`	On the Separability of Targets Using Binary Proximity Sensors CoRR B. Santhana Krishnan, Animesh Kumar, D. Manjunath, Bikash Kumar Dey
2012	C	`conf`	SRAM in hold-operation: Modeling the interaction of soft-errors and switching power-supply noise. ISCAS Amrut Kolhapure, Animesh Kumar
2011	J	`jnl`	High-Resolution Distributed Sampling of Bandlimited Fields With Low-Precision Sensors. IEEE Trans. Inf. Theory Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
2010	J	`jnl`	Dithered A/D conversion of smooth non-bandlimited signals. IEEE Trans. Signal Process. Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
2009	—	`conf`	SRAM supply voltage scaling: A reliability perspective. ISQED Animesh Kumar, Jan M. Rabaey, Kannan Ramchandran
2008	—	`conf`	Error-Tolerant SRAM Design for Ultra-Low Power Standby Operation. ISQED Huifang Qin, Animesh Kumar, Kannan Ramchandran, Jan M. Rabaey, Prakash Ishwar
2008	—	`conf`	Fundamental Data Retention Limits in SRAM Standby Experimental Results. ISQED Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran
2007	C	`conf`	Fundamental Bounds on Power Reduction during Data-Retention in Standby SRAM. ISCAS Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran
2007	—	`conf`	Fundamental Redundancy Versus Power Trade-Off in Standby SRAM. ICASSP (2) Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran
2004	—	`conf`	On distributed sampling of bandlimited and non-bandlimited sensor fields. ICASSP (3) Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
2004	—	`conf`	On distributed sampling of smooth non-bandlimited fields. IPSN Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
2003	—	`conf`	Distributed Sampling for Dense Sensor Networks: A "Bit-Conservation Principle". IPSN Prakash Ishwar, Animesh Kumar, Kannan Ramchandran