Rishabh Gupta

Orcid: 0000-0002-8937-1910

According to our database1, Rishabh Gupta authored at least 70 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing.
IEEE J. Biomed. Health Informatics, February, 2024

Deep Learning Based Named Entity Recognition Models for Recipes.
CoRR, 2024

Sparse Graph Representations for Procedural Instructional Documents.
CoRR, 2024

2023
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Power consumption forecast model using ensemble learning for smart grid.
J. Supercomput., July, 2023

An IoT-Centric Data Protection Method for Preserving Security and Privacy in Cloud.
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

Exploring Large Language Models for Code Explanation.
CoRR, 2023

Data-driven decision-focused surrogate modeling.
CoRR, 2023

Cryptography approach for Secure Outsourced Data Storage in Cloud Environment.
CoRR, 2023

Speaker Profiling in Multiparty Conversations.
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

RECIPE: A Vehicle RECall Incident PrEdiction Method.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering.
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

Differential and Access Policy Based Privacy-Preserving Model in Cloud Environment.
J. Web Eng., 2022

Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization.
INFORMS J. Comput., 2022

A privacy-preserving model for cloud data storage through fog computing.
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

A Privacy-Preserving Outsourced Data Model in Cloud Environment.
CoRR, 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

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
CoRR, 2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
CoRR, 2021

A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation.
CoRR, 2021

Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends.
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

Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction.
IEEE Access, 2021

2020
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization.
CoRR, 2020

Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion.
CoRR, 2020

A Realistic Polar Influence Propagation Model for Location based Social Networks.
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

Extensible Framework for Analysis of Farm Practices and Programs.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Parametric Hear through Equalization for Augmented Reality Audio.
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
Improved Rate-Energy Tradeoff for Energy Harvesting Interference Alignment Networks.
IEEE Wirel. Commun. Lett., 2017

Latent factor analysis for synthesized speech quality-of-experience assessment.
Qual. User Exp., 2017

Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems.
IEEE J. Sel. Top. Signal Process., 2017

Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips.
Frontiers Comput. Neurosci., 2017

Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces.
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

Physiological quality-of-experience assessment of text-to-speech systems.
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

Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow.
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

DRACO: DRoid analyst combo an android malware analysis framework.
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
Subjective quality ratings and physiological correlates of synthesized speech.
Proceedings of the Fourth International Workshop on Quality of Multimedia Experience, 2013

Neurophysiological experimental facility for Quality of Experience (QoE) assessment.
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
Generating a Test Strategy with Bayesian Networks and Common Sense.
Proceedings of the Testing: Academia and Industry Conference, 2006


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