Rishabh Gupta

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 74

Top Topics

Prediction Model

Top Venues

IEEE Netw. Lett.

Publications

Nameyeh Alam, Jake Basilico, Daniele Bertolini, Satish Casie Chetty, Heather D'Angelo, Ryan Douglas, Charles K. Fisher, Franklin Fuller, Melissa Gomes, Rishabh Gupta, Alex H. Lang, Anton Loukianov, Rachel Mak-McCully, Cary Murray, Hanalei Pham, Susanna Qiao, Elena Ryapolova-Webb, Aaron M. Smith, Dimitri Theoharatos, Anil Tolwani, Eric W. Tramel, Anna Vidovszky, Judy Viduya, Jonathan R. Walsh
Digital Twin Generators for Disease Modeling. CoRR (2024)
Rishabh Gupta, Lucas Goldstone, Shira Eisen, Dhanesh Ramachandram, Amy Cassata, Robert D. J. Fraser, Jose L. Ramirez-Garcialuna, Robert Bartlett, Justin Allport
Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. IEEE J. Biomed. Health Informatics 28 (2) (2024)
Kishu Gupta, Deepika Saxena, Rishabh Gupta, Jatinder Kumar, Ashutosh Kumar Singh
FedMUP: Federated learning driven malicious user prediction model for secure data distribution in cloud environments. Appl. Soft Comput. 157 (2024)
Mansi Goel, Ayush Agarwal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi Konam, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler
Deep Learning Based Named Entity Recognition Models for Recipes. CoRR (2024)
Ayush Agarwal, Janak Kapuriya, Shubham Agrawal, Akhil Vamshi Konam, Mansi Goel, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler
Deep Learning Based Named Entity Recognition Models for Recipes. LREC/COLING (2024)
Shruti Singh, Rishabh Gupta
Sparse Graph Representations for Procedural Instructional Documents. CoRR (2024)
Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations. LREC/COLING (2024)
Kishu Gupta, Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
MAIDS: malicious agent identification-based data security model for cloud environments. Clust. Comput. 27 (5) (2024)
Rishabh Gupta, Satya K. Pothapragada, Weihuang Xu, Prateek Kumar Goel, Miguel A. Barrera, Mira S. Saldanha, Joel B. Harley, Kelly T. Morgan, Alina Zare, Lincoln Zotarelli
Estimating soil mineral nitrogen from data-sparse field experiments using crop model-guided deep learning approach. Comput. Electron. Agric. 225 (2024)
Ammar Daskin, Rishabh Gupta, Sabre Kais
Dimension reduction and redundancy removal through successive Schmidt decompositions. CoRR (2023)
Rishabh Gupta, Qi Zhang
Efficient learning of decision-making models: A penalty block coordinate descent algorithm for data-driven inverse optimization. Comput. Chem. Eng. 170 (2023)
Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. CoRR (2023)
Rishabh Gupta, Qi Zhang
Data-driven decision-focused surrogate modeling. CoRR (2023)
Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
Cryptography approach for Secure Outsourced Data Storage in Cloud Environment. CoRR (2023)
Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems. CIKM (2023)
Manojit Chakraborty, Rishabh Gupta
RECIPE: A Vehicle RECall Incident PrEdiction Method. ITSC (2023)
Ashutosh Kumar Singh, Sakshi Chhabra, Rishabh Gupta, Deepika Saxena
A Reliable Client Detection System during Load Balancing for Multi-tenant Cloud Environment. SN Comput. Sci. 4 (1) (2023)
Rishabh Gupta, Ishu Gupta, Deepika Saxena, Ashutosh Kumar Singh
A differential approach and deep neural network based data privacy-preserving model in cloud environment. J. Ambient Intell. Humaniz. Comput. 14 (5) (2023)
Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty
Speaker Profiling in Multiparty Conversations. CoRR (2023)
Rishabh Gupta, Ishu Gupta, Ashutosh Kumar Singh, Deepika Saxena, Chung-Nan Lee
An IoT-Centric Data Protection Method for Preserving Security and Privacy in Cloud. IEEE Syst. J. 17 (2) (2023)
Paheli Bhattacharya, Manojit Chakraborty, Kartheek N. S. N. Palepu, Vikas Pandey, Ishan Dindorkar, Rakesh Rajpurohit, Rishabh Gupta
Exploring Large Language Models for Code Explanation. FIRE (Working Notes) (2023)
Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. ACL (1) (2023)
Deepika Saxena, Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Xiaoqing Wen
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity. CoRR (2023)
Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising. CoRR (2023)
Deepika Saxena, Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Xiaoqing Wen
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
Paheli Bhattacharya, Manojit Chakraborty, Kartheek N. S. N. Palepu, Vikas Pandey, Ishan Dindorkar, Rakesh Rajpurohit, Rishabh Gupta
Exploring Large Language Models for Code Explanation. CoRR (2023)
Jatinder Kumar, Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
Power consumption forecast model using ensemble learning for smart grid. J. Supercomput. 79 (10) (2023)
Rishabh Gupta, Ashutosh Kumar Singh
A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment. CoRR (2022)
Rishabh Gupta, Qi Zhang
Efficient Learning of Decision-Making Models: A Penalty Block Coordinate Descent Algorithm for Data-Driven Inverse Optimization. CoRR (2022)
Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
'John Ate 5 Apples' != 'John Ate Some Apples': Self-supervised Paraphrase Quality Detection for Algebraic Word Problems. ECML/PKDD (6) (2022)
Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems. CoRR (2022)
Rishabh Gupta, Qi Zhang
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. INFORMS J. Comput. 34 (5) (2022)
Rishabh Gupta, Ashutosh Kumar Singh
A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment. New Gener. Comput. 40 (3) (2022)
Rishabh Gupta, Ashutosh Kumar Singh
Differential and Access Policy Based Privacy-Preserving Model in Cloud Environment. J. Web Eng. 21 (3) (2022)
Rishabh Gupta, Ashutosh Kumar Singh
A Privacy-Preserving Outsourced Data Model in Cloud Environment. CoRR (2022)
Rishabh Gupta, Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh
Differential and TriPhase Adaptive Learning-Based Privacy-Preserving Model for Medical Data in Cloud Environment. IEEE Netw. Lett. 4 (4) (2022)
Rishabh Gupta, Ashutosh Kumar Singh
A privacy-preserving model for cloud data storage through fog computing. Int. J. Comput. Aided Eng. Technol. 17 (3) (2022)
Ashutosh Kumar Singh, Rishabh Gupta
A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment. CoRR (2022)
Rishabh Gupta, Jianjun He, Rishabh Ranjan, Woon-Seng Gan, Florian Klein, Christian Schneiderwind, Annika Neidhardt, Karlheinz Brandenburg, Vesa Välimäki
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering. IEEE Signal Process. Mag. 39 (3) (2022)
Rishabh Gupta, Deepika Saxena, Ishu Gupta, Aaisha Makkar, Ashutosh Kumar Singh
Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications. IEEE Netw. Lett. 4 (4) (2022)
Ashutosh Kumar Singh, Rishabh Gupta
A privacy-preserving model based on differential approach for sensitive data in cloud environment. Multim. Tools Appl. 81 (23) (2022)
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR (2021)
Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation. CoRR (2021)
Rishabh Gupta, Rajesh N. Rao
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus. CoRR (2021)
Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction. IEEE Access 9 (2021)
Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
Evaluation of deep learning models for multi-step ahead time series prediction. CoRR (2021)
Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends. CoRR (2021)
Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Rajkumar Buyya
MLPAM: A Machine Learning and Probabilistic Analysis Based Model for Preserving Security and Privacy in Cloud Environment. IEEE Syst. J. 15 (3) (2021)
Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction. CoRR (2021)
Animesh Tiwari, Rishabh Gupta, Rohitash Chandra
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown. CoRR (2021)
Rishabh Gupta, Vaibhav Mathur, Suryansh Tibarewala, Swati Aggarwal
A Realistic Polar Influence Propagation Model for Location based Social Networks. BigMM (2020)
Rishabh Gupta, Rajesh N. Rao
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion. CoRR (2020)
Rishabh Gupta, Qi Zhang
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. CoRR (2020)
Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. ACM Trans. Intell. Syst. Technol. 10 (4) (2019)
Sandeep Puthanveetil Satheesan, Rabin Bhattarai, Shannon Bradley, Jonathan Coppess, Lisa Gatzke, Rishabh Gupta, Hanseok Jeong, Jong S. Lee, Vara Veera Gowtham Naraharisetty, Michal Ondrejcek, Gary D. Schnitkey, Yan Zhao, Christopher M. Navarro
Extensible Framework for Analysis of Farm Practices and Programs. PEARC (2019)
Rishabh Gupta, Rishabh Ranjan, Jianjun He, Woon-Seng Gan
Parametric Hear through Equalization for Augmented Reality Audio. ICASSP (2019)
Karunveer Singh, Rishabh Gupta, Vikram Gupta, Arash Fayyazi, Massoud Pedram, Shahin Nazarian
A Hybrid Framework for Functional Verification using Reinforcement Learning and Deep Learning. ACM Great Lakes Symposium on VLSI (2019)
Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. CoRR (2019)
Rishabh Gupta, Anderson R. Avila, Tiago H. Falk
Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems. QoMEX (2018)
Devanshu Jain, Maria Kustikova, Mayank Darbari, Rishabh Gupta, Stephen Mayhew
Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data. CodeSwitch@ACL (2018)
Rishabh Gupta, P. Krishna Reddy
Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study. ICBK (2017)
Rishabh Gupta, Tiago H. Falk
Latent factor analysis for synthesized speech quality-of-experience assessment. Qual. User Exp. 2 (1) (2017)
Abdul Qadir Javaid, Rishabh Gupta, Alex Mihalidis, S. Ali Etemad
Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methods. BHI (2017)
Rishabh Gupta, Abdul Qadir Javaid, S. Ali Etemad
Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions. BHI (2017)
Hubert J. Banville, Rishabh Gupta, Tiago H. Falk
Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces. Comput. Intell. Neurosci. 2017 (2017)
Rishabh Gupta, Hubert J. Banville, Tiago H. Falk
Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems. IEEE J. Sel. Top. Signal Process. 11 (1) (2017)
Andrea Clerico, Abhishek Tiwari, Rishabh Gupta, Srinivasan Jayaraman, Tiago H. Falk
Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips. Frontiers Comput. Neurosci. 11 (2017)
Rishabh Gupta, Ajit Kumar Chaturvedi, Rohit Budhiraja
Improved Rate-Energy Tradeoff for Energy Harvesting Interference Alignment Networks. IEEE Wirel. Commun. Lett. 6 (3) (2017)
Rishabh Gupta, Khalil ur Rehman Laghari, Hubert J. Banville, Tiago H. Falk
Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling. Hum. centric Comput. Inf. Sci. 6 (2016)
Rishabh Gupta, Tiago H. Falk
Physiological quality-of-experience assessment of text-to-speech systems. MMSP (2016)
Rishabh Gupta, P. Krishna Reddy
Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. CODS (2016)
Shubham, Rishabh Gupta, Vatsal Gajera, Prasanta K. Jana
An effective multi-objective workflow scheduling in cloud computing: A PSO based approach. IC3 (2016)
Rishabh Gupta, Khalil ur Rehman Laghari, Tiago H. Falk
Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization. Neurocomputing 174 (2016)
Rishabh Gupta, Mojtaba Khomami Abadi, Jesús Alejandro Cárdenes Cabré, Fabio Morreale, Tiago H. Falk, Nicu Sebe
A Quality Adaptive Multimodal Affect Recognition System for User-Centric Multimedia Indexing. ICMR (2016)
Shweta Bhandari, Rishabh Gupta, Vijay Laxmi, Manoj Singh Gaur, Akka Zemmari, Maxim Anikeev
DRACO: DRoid analyst combo an android malware analysis framework. SIN (2015)
Andrea Clerico, Rishabh Gupta, Tiago H. Falk
Mutual information between inter-hemispheric EEG spectro-temporal patterns: A new feature for automated affect recognition. NER (2015)
Rishabh Gupta, Tiago H. Falk
Affective state characterization based on electroencephalography graph-theoretic features. NER (2015)
Rishabh Gupta, Hubert J. Banville, Tiago H. Falk
PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience. WASPAA (2015)
Khalil ur Rehman Laghari, Rishabh Gupta, Sebastian Arndt, Jan-Niklas Antons, Sebastian Möller, Tiago H. Falk
Characterization of human emotions and preferences for text-to-speech systems using multimodal neuroimaging methods. CCECE (2014)
Khalil ur Rehman Laghari, Rishabh Gupta, Sebastian Arndt, Jan-Niklas Antons, Robert Schleicher, Sebastian Möller, Tiago H. Falk
Neurophysiological experimental facility for Quality of Experience (QoE) assessment. IM (2013)
Sebastian Arndt, Jan-Niklas Antons, Rishabh Gupta, Khalil ur Rehman Laghari, Robert Schleicher, Sebastian Möller, Tiago H. Falk
Subjective quality ratings and physiological correlates of synthesized speech. QoMEX (2013)
Khalil ur Rehman Laghari, Rishabh Gupta, Jan-Niklas Antons, Robert Schleicher, Sebastian Möller, Tiago H. Falk
Objective characterization of human behavioural characteristics for QoE assessment: A pilot study on the use of electroencephalography features. GLOBECOM Workshops (2013)
Elagiri Ramalingam Rajkumar, Javad Safaie, Rishabh Gupta, Deepak Pattnaik, Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois
Development of an autonomic portable single-board computer based high resolution NIRS device for microcirculation analysis. EMBC (2012)
Jean-Jacques Gras, Rishabh Gupta, Elena Pérez-Miñana
Generating a Test Strategy with Bayesian Networks and Common Sense. TAIC PART (2006)