Rishabh Gupta
Orcid: 0000-0002-8937-1910
According to our database1,
Rishabh Gupta
authored at least 75 papers
between 2006 and 2024.
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Bibliography
2024
Emerging VM Threat Prediction and Dynamic Workload Estimation for Secure Resource Management in Industrial Clouds.
IEEE Trans Autom. Sci. Eng., October, 2024
MAIDS: malicious agent identification-based data security model for cloud environments.
Clust. Comput., August, 2024
IEEE J. Biomed. Health Informatics, February, 2024
Estimating soil mineral nitrogen from data-sparse field experiments using crop model-guided deep learning approach.
Comput. Electron. Agric., 2024
FedMUP: Federated learning driven malicious user prediction model for secure data distribution in cloud environments.
Appl. Soft Comput., 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
J. Supercomput., July, 2023
IEEE Syst. J., June, 2023
Efficient learning of decision-making models: A penalty block coordinate descent algorithm for data-driven inverse optimization.
Comput. Chem. Eng., February, 2023
A Reliable Client Detection System during Load Balancing for Multi-tenant Cloud Environment.
SN Comput. Sci., 2023
A differential approach and deep neural network based data privacy-preserving model in cloud environment.
J. Ambient Intell. Humaniz. Comput., 2023
CoRR, 2023
Dimension reduction and redundancy removal through successive Schmidt decompositions.
CoRR, 2023
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising.
CoRR, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the Working Notes of FIRE 2023, 2023
James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
IEEE Signal Process. Mag., 2022
A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment.
New Gener. Comput., 2022
A privacy-preserving model based on differential approach for sensitive data in cloud environment.
Multim. Tools Appl., 2022
J. Web Eng., 2022
INFORMS J. Comput., 2022
Int. J. Comput. Aided Eng. Technol., 2022
Differential and TriPhase Adaptive Learning-Based Privacy-Preserving Model for Medical Data in Cloud Environment.
IEEE Netw. Lett., 2022
Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications.
IEEE Netw. Lett., 2022
'John Ate 5 Apples' != 'John Ate Some Apples': Self-supervised Paraphrase Quality Detection for Algebraic Word Problems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
2021
MLPAM: A Machine Learning and Probabilistic Analysis Based Model for Preserving Security and Privacy in Cloud Environment.
IEEE Syst. J., 2021
CoRR, 2021
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation.
CoRR, 2021
CoRR, 2021
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction.
CoRR, 2021
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus.
CoRR, 2021
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown.
CoRR, 2021
IEEE Access, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the 6th IEEE International Conference on Multimedia Big Data, 2020
2019
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services.
ACM Trans. Intell. Syst. Technol., 2019
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
A Hybrid Framework for Functional Verification using Reinforcement Learning and Deep Learning.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019
2018
Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems.
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data.
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018
2017
IEEE Wirel. Commun. Lett., 2017
Qual. User Exp., 2017
IEEE J. Sel. Top. Signal Process., 2017
Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips.
Frontiers Comput. Neurosci., 2017
Comput. Intell. Neurosci., 2017
Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methods.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization.
Neurocomputing, 2016
Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling.
Hum. centric Comput. Inf. Sci., 2016
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016
A Quality Adaptive Multimodal Affect Recognition System for User-Centric Multimedia Indexing.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016
An effective multi-objective workflow scheduling in cloud computing: A PSO based approach.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016
Proceedings of the 3rd IKDD Conference on Data Science, 2016
2015
PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience.
Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015
Proceedings of the 8th International Conference on Security of Information and Networks, 2015
Affective state characterization based on electroencephalography graph-theoretic features.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Mutual information between inter-hemispheric EEG spectro-temporal patterns: A new feature for automated affect recognition.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
2014
Characterization of human emotions and preferences for text-to-speech systems using multimodal neuroimaging methods.
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014
2013
Proceedings of the Fourth International Workshop on Quality of Multimedia Experience, 2013
Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013
Objective characterization of human behavioural characteristics for QoE assessment: A pilot study on the use of electroencephalography features.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013
2012
Development of an autonomic portable single-board computer based high resolution NIRS device for microcirculation analysis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2006
Proceedings of the Testing: Academia and Industry Conference, 2006