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ORCIDMayank Sharma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2024
[j46]Mayank Sharma
, Tanmoy Maity:
Smart and Fault-Tolerant Multisensor Fusion Model for UCM Methane Hazard Monitoring Based on Belief Divergence Backed DS Filter and Hybrid CNN-LSTM Classifier. IEEE Internet Things J. 11(2): 3264-3273 (2024)- [j45]Anurag Gupta, Mayank Sharma, Amit Srivastava:
Development of Honey Badger-Cat Swarm Optimisation-Based Parallel Cascaded Deep Network for Software Bug Prediction Framework. J. Inf. Knowl. Manag. 23(3): 2450004:1-2450004:35 (2024) - [j44]Shraddha Rawat, Shreya Tiwari, Mayank Sharma, Nandini Chatterjee Singh:
The Digital Pedagogy Competence Scale (DiPeCoS): development and validation. Res. Pract. Technol. Enhanc. Learn. 19: 18 (2024) - [i9]Sanjai Pathak, Ashish Mani, Mayank Sharma, Amlan Chatterjee:
Quantum Inspired Chaotic Salp Swarm Optimization for Dynamic Optimization. CoRR abs/2402.16863 (2024) - [i8]Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Madalina G. Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, Ritankar Das:
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models. CoRR abs/2402.19371 (2024) - 2023
- [j43]Sunil Pathak, Venkataraghavan Krishnaswamy, Mayank Sharma:
Big data analytics capabilities: a novel integrated fitness framework based on a tool-based content analysis. Enterp. Inf. Syst. 17(1) (2023) - [c30]Ishan Prempradeep Kakkar, Mayank Sharma, Venkataraghavan Krishnaswamy:
Algorithmic Personnel Management: A Personnel Slack View. ICIS 2023 - [c29]Mayank Sharma, Pingshi Yu, Alastair F. Donaldson:
RustSmith: Random Differential Compiler Testing for Rust. ISSTA 2023: 1483-1486 - 2022
- [j42]Sanjai Pathak, Ashish Mani, Mayank Sharma, Amlan Chatterjee:
Decomposition Based Quantum Inspired Salp Swarm Algorithm for Multiobjective Optimization. IEEE Access 10: 105421-105436 (2022) - [j41]Ramnath Krishnan Pallasena, Mayank Sharma, Venkataraghavan Krishnaswamy:
A Study of Interaction, Visual Canvas, and Immersion in AR Design: A DSR Approach. AIS Trans. Hum. Comput. Interact. 14(3): 390-425 (2022) - [j40]Mayank Sharma, Pradeep Kumar, Ranjeet Singh Tomar:
Vehicular connectivity algorithm for cooperative transportation systems. Comput. Electr. Eng. 102: 108199 (2022) - [j39]Honey Gupta, Mayank Sharma:
Language agnostic missing subtitle detection. EURASIP J. Audio Speech Music. Process. 2022(1): 14 (2022) - [j38]Mayank Sharma, Sandeep Joshi, Tamojit Chatterjee, Raffay Hamid:
A comprehensive empirical review of modern voice activity detection approaches for movies and TV shows. Neurocomputing 494: 116-131 (2022) - [j37]Mayank Sharma, Tanmoy Maity:
Multisensor Data-Fusion-Based Gas Hazard Prediction Using DSET and 1DCNN for Underground Longwall Coal Mine. IEEE Internet Things J. 9(21): 21064-21072 (2022) - [c28]Sanjai Pathak, Ashish Mani, Mayank Sharma, Amlan Chatterjee:
Rethinking of controller placement problem from static optimization to multi-objective dynamic optimization. GECCO Companion 2022: 743-746 - [c27]Pooja Anand, Mayank Sharma, Anil Saroliya:
Anomaly Detection in Disaster Recovery: A Review, Current Trends and New Perspectives. IC3I 2022: 1718-1726 - [c26]Mayank Sharma:
Multi-Lingual Multi-Task Speech Emotion Recognition Using wav2vec 2.0. ICASSP 2022: 6907-6911 - [c25]Mayank Sharma, Tarun Gupta, Kenny Qiu, Xiang Hao, Raffay Hamid:
CNN-based Audio Event Recognition for Automated Violence Classification and Rating for Prime Video Content. INTERSPEECH 2022: 2758-2762 - 2021
- [j36]Manisekaran Thangavelu, Venkataraghavan Krishnaswamy, Mayank Sharma:
Impact of comprehensive information security awareness and cognitive characteristics on security incident management - an empirical study. Comput. Secur. 109: 102401 (2021) - [j35]Alessandro Di Girolamo, Federica Legger, Panos Paparrigopoulos, Jaroslava Schovancová, Thomas Beermann, Michael Boehler, Daniele Bonacorsi, Luca Clissa, Leticia Decker de Sousa, Tommaso Diotalevi, Luca Giommi, Maria Grigorieva, Domenico Giordano, David Hohn, Tomas Javurek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus:
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. Frontiers Big Data 4: 753409 (2021) - [j34]Lipika Goel, Mayank Sharma, Sunil Kumar Khatri, D. Damodaran:
An empirical analysis of the statistical learning models for different categories of cross-project defect prediction. Int. J. Comput. Aided Eng. Technol. 14(2): 233-254 (2021) - [j33]Lipika Goel, Mayank Sharma, Sunil Kumar Khatri, D. Damodaran:
A Framework for Homogeneous Cross-Project Defect Prediction. Int. J. Softw. Innov. 9(1): 52-68 (2021) - [j32]Lipika Goel, Mayank Sharma, Sunil Kumar Khatri, D. Damodaran:
Cross-project defect prediction using data sampling for class imbalance learning: an empirical study. Int. J. Parallel Emergent Distributed Syst. 36(2): 130-143 (2021) - [j31]Mayank Sharma, Sumit Soman, Jayadeva:
Minimal Complexity Machines Under Weight Quantization. IEEE Trans. Computers 70(8): 1189-1198 (2021) - [c24]Mayank Sharma, Yogesh Virkar, Marcello Federico, Roberto Barra-Chicote, Robert Enyedi:
Intra-Sentential Speaking Rate Control in Neural Text-To-Speech for Automatic Dubbing. Interspeech 2021: 3151-3155 - [c23]Sunil Pathak, Venkataraghavan Krishnaswamy, Mayank Sharma:
Understanding the Strategic Value of Big Data Analytics Capability: A Multidimensional Innovation Perspective. PACIS 2021: 229 - 2020
- [j30]Iti Burman, Subhranil Som, Syed Akhter Hossain, Mayank Sharma:
Student Performance Measurement on Psychometric Parameters. Int. J. Inf. Commun. Technol. Educ. 16(4): 68-85 (2020) - [j29]Jayadeva, Sumit Soman, Himanshu Pant, Mayank Sharma:
QMCM: Minimizing Vapnik's bound on the VC dimension. Neurocomputing 399: 352-360 (2020) - [j28]Prabhakar Gupta, Mayank Sharma:
Unsupervised Translation Quality Estimation for Digital Entertainment Content Subtitles. Int. J. Semantic Comput. 14(1): 137-151 (2020) - [j27]Sumit Soman, Jayadeva, Rajat Thakur, Mayank Sharma, Suresh Chandra:
Sparsity in function and derivative approximation via the empirical feature space. Inf. Sci. 512: 402-415 (2020) - [j26]Lipika Goel, Mayank Sharma, Sunil Kumar Khatri, D. Damodaran:
Prediction of Cross Project Defects using Ensemble based Multinomial Classifier. EAI Endorsed Trans. Scalable Inf. Syst. 7(25): e5 (2020) - [c22]Mohammad Reza Faieghi, Seyed Farokh Atashzar, Mayank Sharma, O. Remus Tutunea-Fatan, Roy Eagleson, Louis M. Ferreira:
Vibration Analysis in Robot-Driven Glenoid Reaming Procedure. AIM 2020: 741-746 - [c21]Duc Duy Pham, Jonas Müller, Piush Aggarwal, Amit Khatri, Mayank Sharma, Torsten Zesch, Josef Pauli:
Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNs. ICPR Workshops (1) 2020: 321-336
2010 – 2019
- 2019
- [j25]Jayadeva, Himanshu Pant, Mayank Sharma, Sumit Soman:
Twin Neural Networks for the classification of large unbalanced datasets. Neurocomputing 343: 34-49 (2019) - [j24]Ramnath Krishnan Pallasena, Mayank Sharma, Venkataraghavan Krishnaswamy:
Context-sensitive smart devices - definition and a functional taxonomy. Int. J. Soc. Humanist. Comput. 3(2): 108-134 (2019) - [j23]Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante:
Revisiting Stochastic Loss Networks: Structures and Approximations. Math. Oper. Res. 44(3): 890-918 (2019) - [i7]Mayank Sharma, Aayush Yadav, Sumit Soman, Jayadeva:
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise. CoRR abs/1901.11458 (2019) - [i6]Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey, Jayadeva, Sai Guruju, Nihal Goalla:
Smaller Models, Better Generalization. CoRR abs/1908.11250 (2019) - [i5]Prabhakar Gupta, Mayank Sharma, Kartik Pitale, Keshav Kumar:
Problems with automating translation of movie/TV show subtitles. CoRR abs/1909.05362 (2019) - 2018
- [j22]Vijaya Dixit, Priyanka Verma, Piyush Raj, Mayank Sharma:
Resource and time criticality based block spatial scheduling in a shipyard under uncertainty. Int. J. Prod. Res. 56(22): 6993-7007 (2018) - [j21]Jayadeva, Mayank Sharma, Sumit Soman, Himanshu Pant:
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space - Submitted to the Special Issue on "Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition". Neural Process. Lett. 48(2): 881-913 (2018) - [j20]Mayank Sharma, Tanmoy Maity:
Low Cost Low Power Smart Helmet for Real-Time Remote Underground Mine Environment Monitoring. Wirel. Pers. Commun. 102(1): 149-162 (2018) - [c20]Himanshu Pant, Sumit Soman, Jayadeva, Mayank Sharma:
Twin Neural Networks for Efficient EEG Signal Classification. IJCNN 2018: 1-7 - [c19]Mayank Sharma, Sumit Soman, Jayadeva, Himanshu Pant:
Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines. IJCNN 2018: 1-8 - [c18]Christoph Schröder, Mayank Sharma, Jörn Teuber, René Weller, Gabriel Zachmann:
DynCam: A Reactive Multithreaded Pipeline Library for 3D Telepresence in VR. VRIC 2018: 12:1-12:8 - [i4]Mayank Sharma, Jayadeva, Sumit Soman:
Radius-margin bounds for deep neural networks. CoRR abs/1811.01171 (2018) - 2017
- [j19]Darshana Rarath, Mayank Sharma, Akshay Mane, Pooja Dabral, Roshani Raut:
Computer Independent Data Transfer Device. Int. J. Recent Contributions Eng. Sci. IT 5(2): 72-81 (2017) - [j18]Mayank Sharma, Jayadeva, Sumit Soman, Himanshu Pant:
Large-Scale Minimal Complexity Machines Using Explicit Feature Maps. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2653-2662 (2017) - [i3]Himanshu Pant, Jayadeva, Sumit Soman, Mayank Sharma:
Scalable Twin Neural Networks for Classification of Unbalanced Data. CoRR abs/1705.00347 (2017) - [i2]Jayadeva, Himanshu Pant, Mayank Sharma, Abhimanyu Dubey, Sumit Soman, Sai Guruju, Nihal Goalla:
Learning Neural Network Classifiers with Low Model Complexity. CoRR abs/1707.09933 (2017) - 2016
- [j17]David A. Goldberg, Dmitriy A. Katz-Rogozhnikov, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times. Math. Oper. Res. 41(3): 898-913 (2016) - [c17]Priti Narwal, Deepak Kumar, Mayank Sharma:
A Review of Game-Theoretic Approaches for Secure Virtual Machine Resource Allocation in Cloud. ICTCS 2016: 93:1-93:5 - [c16]C. Karthik, Mayank Sharma, Kirti Maurya, K. Chandrasekaran:
Green intelligence for cloud data centers. RAIT 2016: 591-597 - 2015
- [j16]Mayank Sharma, Pradeep Kumar, Bharat Bhasker:
Purchase intention and word of mouth in social apps. Int. J. Web Based Communities 11(2): 188-209 (2015) - [c15]Mayank Sharma, Yashwant Singh:
Middle Position Dynamic Energy Opportunistic Routing for Wireless Sensor Networks. ICACCI 2015: 948-953 - 2014
- [j15]Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Workforce management: Risk-based financial planning and capacity provisioning. IBM J. Res. Dev. 58(4) (2014) - [j14]David A. Goldberg, Dimitriy A. Katz, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Asymptotic optimality of constant capacity allocation policies for dynamic resource planning. SIGMETRICS Perform. Evaluation Rev. 42(2): 61-63 (2014) - [j13]Luis Alfonso Lastras-Montaño, Michele Franceschini, Thomas Mittelholzer, Mayank Sharma:
On the Capacity of Memoryless Rewritable Storage Channels. IEEE Trans. Inf. Theory 60(6): 3178-3195 (2014) - 2013
- [j12]Mayank Sharma, Navin Rajpal, B. V. Ramana Reddy, Ravindra Kumar Purwar:
Normalised LCS-based method for indexing multidimensional data cube. Int. J. Intell. Inf. Database Syst. 7(2): 180-204 (2013) - [j11]Dan Andrei Iancu, Mayank Sharma, Maxim Sviridenko:
Supermodularity and Affine Policies in Dynamic Robust Optimization. Oper. Res. 61(4): 941-956 (2013) - [j10]Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Stochastic optimal control for a general class of dynamic resource allocation problems. SIGMETRICS Perform. Evaluation Rev. 41(2): 3-14 (2013) - [j9]Xuefeng Gao, Yingdong Lu, Mayank Sharma, Mark S. Squillante, J. W. Bosman:
Rewards, costs and flexibility in dynamic resource allocation: a stochastic optimal control approach. SIGMETRICS Perform. Evaluation Rev. 41(3): 61-63 (2013) - [j8]Pavithra Harsha, Mayank Sharma, Ramesh Natarajan, Soumyadip Ghosh:
A Framework for the Analysis of Probabilistic Demand Response Schemes. IEEE Trans. Smart Grid 4(4): 2274-2284 (2013) - 2011
- [j7]Heng Cao, Jianying Hu, Chen Jiang, Tarun Kumar, Ta-Hsin Li, Yang Liu, Yingdong Lu, Shilpa Mahatma, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante, Yichong Yu:
OnTheMark: Integrated Stochastic Resource Planning of Human Capital Supply Chains. Interfaces 41(5): 414-435 (2011) - [c14]Kush R. Varshney, Moninder Singh, Mayank Sharma, Aleksandra Mojsilovic:
Estimating Post-Event Seller Productivity Profiles in Dynamic Sales Organizations. ICDM Workshops 2011: 1191-1198 - 2010
- [j6]Jianying Hu, Yingdong Lu, Aleksandra Mojsilovic, Mayank Sharma, Mark S. Squillante:
Performance management of IT services delivery. SIGMETRICS Perform. Evaluation Rev. 37(4): 50-57 (2010) - [c13]Michele Franceschini, Luis Alfonso Lastras-Montaño, Ashish Jagmohan, Mayank Sharma, Roger Cheek, M.-H. Lee:
A Communication-Theoretic Approach to Phase Change Storage. ICC 2010: 1-6 - [c12]Ashish Jagmohan, Luis Alfonso Lastras-Montaño, Michele Franceschini, Mayank Sharma, Roger Cheek:
Coding for Multilevel Heterogeneous Memories. ICC 2010: 1-6 - [c11]Thomas Mittelholzer, Luis Alfonso Lastras-Montaño, Mayank Sharma, Michele Franceschini:
Rewritable storage channels with limited number of rewrite iterations. ISIT 2010: 973-977
2000 – 2009
- 2009
- [j5]Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Improved approximations for the Erlang loss model. Queueing Syst. Theory Appl. 63(1-4): 217-239 (2009) - [j4]Jonatha Anselmi, Yingdong Lu, Mayank Sharma, Mark S. Squillante:
Improved Approximations for Stochastic Loss Networks. SIGMETRICS Perform. Evaluation Rev. 37(2): 45-47 (2009) - [j3]Michele Franceschini, Luis Alfonso Lastras-Montaño, Thomas Mittelholzer, Mayank Sharma:
The role of feedback in rewritable storage channels [Lecture Notes]. IEEE Signal Process. Mag. 26(6): 190-222 (2009) - [c10]Meg Cramer, Russell Beauregard, Mayank Sharma:
An investigation of purpose built netbooks for primary school education. IDC 2009: 36-43 - [c9]Thomas Mittelholzer, Michele Franceschini, Luis Alfonso Lastras-Montaño, Ibrahim M. Elfadel, Mayank Sharma:
Rewritable Channels With Data-Dependent Noise. ICC 2009: 1-6 - [c8]Sanjeev Gupta, Mayank Sharma, Sanjeev Kumar Sharma:
Simulation for Energy Expenditure Estimation of WSN for Comparison of Network Routing Protocols. ICETET 2009: 1115-1118 - 2008
- [j2]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality. IEEE Trans. Inf. Theory 54(3): 1241-1251 (2008) - [c7]Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante:
Revisiting stochastic loss networks: structures and algorithms. SIGMETRICS 2008: 407-418 - 2007
- [c6]Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Mayank Sharma:
Iterative Scheduling Algorithms. INFOCOM 2007: 445-453 - 2006
- [j1]Mohsen Bayati, Mayank Sharma, Mark S. Squillante:
Optimal scheduling in a multiserver stochastic network. SIGMETRICS Perform. Evaluation Rev. 34(3): 45-47 (2006) - [c5]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm. ISIT 2006: 557-561 - 2005
- [c4]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
Maximum weight matching via max-product belief propagation. ISIT 2005: 1763-1767 - [i1]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
Maximum Weight Matching via Max-Product Belief Propagation. CoRR abs/cs/0508101 (2005) - 2004
- [c3]Mayank Sharma, Dina Katabi, Rong Pan, Balaji Prabhakar:
An in-band easy-to-deploy mechanism for network-to-transport signaling. GLOBECOM 2004: 1278-1283 - [c2]Chandra Nair, Balaji Prabhakar, Mayank Sharma:
A new proof of Parisi's conjecture for the finite random assignment problem. ISIT 2004: 61 - 2003
- [c1]Chandra Nair, Balaji Prabhakar, Mayank Sharma:
Proofs of the Parisi and Coppersmith-Sorkin Conjectures for the Finite Random Assignment Problem. FOCS 2003: 168-178
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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