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ORCIDRishabh Gupta
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2020 – today
- 2024
[j29]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: 111519 (2024)- [j28]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: 109355 (2024) - [j27]Kishu Gupta, Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh:
MAIDS: malicious agent identification-based data security model for cloud environments. Clust. Comput. 27(5): 6167-6184 (2024) - [j26]Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh, Athanasios V. Vasilakos:
Emerging VM Threat Prediction and Dynamic Workload Estimation for Secure Resource Management in Industrial Clouds. IEEE Trans Autom. Sci. Eng. 21(4): 5837-5851 (2024) - [j25]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): 666-677 (2024) - [c30]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations. LREC/COLING 2024: 415-425 - [c29]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: 4542-4554 - [i29]Shruti Singh, Rishabh Gupta:
Sparse Graph Representations for Procedural Instructional Documents. CoRR abs/2402.03957 (2024) - [i28]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 abs/2402.17447 (2024) - [i27]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 abs/2405.01488 (2024) - [i26]Paheli Bhattacharya, Rishabh Gupta:
Selective Shot Learning for Code Explanation. CoRR abs/2412.12852 (2024) - [i25]Kishu Gupta, Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh:
MAIDS: Malicious Agent Identification-based Data Security Model for Cloud Environments. CoRR abs/2412.14490 (2024) - [i24]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. CoRR abs/2412.14495 (2024) - 2023
- [j24]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: 108123 (2023) - [j23]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): 4659-4674 (2023) - [j22]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): 2445-2454 (2023) - [j21]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): 86 (2023) - [j20]Jatinder Kumar, Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh:
Power consumption forecast model using ensemble learning for smart grid. J. Supercomput. 79(10): 11007-11028 (2023) - [j19]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): 6815-6827 (2023) - [c28]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: 5792-5809 - [c27]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: 679-688 - [c26]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: 718-723 - [c25]Manojit Chakraborty, Rishabh Gupta:
RECIPE: A Vehicle RECall Incident PrEdiction Method. ITSC 2023: 3499-3504 - [i23]Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal:
Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising. CoRR abs/2302.02780 (2023) - [i22]Ammar Daskin, Rishabh Gupta, Sabre Kais:
Dimension reduction and redundancy removal through successive Schmidt decompositions. CoRR abs/2302.04801 (2023) - [i21]Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty:
Speaker Profiling in Multiparty Conversations. CoRR abs/2304.08801 (2023) - [i20]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 abs/2305.13776 (2023) - [i19]Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh:
Cryptography approach for Secure Outsourced Data Storage in Cloud Environment. CoRR abs/2306.08322 (2023) - [i18]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 abs/2308.09578 (2023) - [i17]Rishabh Gupta, Qi Zhang:
Data-driven decision-focused surrogate modeling. CoRR abs/2308.12161 (2023) - [i16]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 abs/2310.16673 (2023) - 2022
- [j18]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): 174-178 (2022) - [j17]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): 217-221 (2022) - [j16]Rishabh Gupta, Ashutosh Kumar Singh:
A privacy-preserving model for cloud data storage through fog computing. Int. J. Comput. Aided Eng. Technol. 17(3): 348-359 (2022) - [j15]Rishabh Gupta, Qi Zhang:
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. INFORMS J. Comput. 34(5): 2720-2735 (2022) - [j14]Rishabh Gupta, Ashutosh Kumar Singh:
Differential and Access Policy Based Privacy-Preserving Model in Cloud Environment. J. Web Eng. 21(3) (2022) - [j13]Ashutosh Kumar Singh, Rishabh Gupta:
A privacy-preserving model based on differential approach for sensitive data in cloud environment. Multim. Tools Appl. 81(23): 33127-33150 (2022) - [j12]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): 737-764 (2022) - [j11]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): 63-89 (2022) - [c24]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: 353-369 - [i15]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 abs/2206.08263 (2022) - [i14]Rishabh Gupta, Qi Zhang:
Efficient Learning of Decision-Making Models: A Penalty Block Coordinate Descent Algorithm for Data-Driven Inverse Optimization. CoRR abs/2210.15393 (2022) - [i13]Rishabh Gupta, Ashutosh Kumar Singh:
A Privacy-Preserving Outsourced Data Model in Cloud Environment. CoRR abs/2211.13542 (2022) - [i12]Rishabh Gupta, Ashutosh Kumar Singh:
A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment. CoRR abs/2212.10177 (2022) - [i11]Ashutosh Kumar Singh, Rishabh Gupta:
A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment. CoRR abs/2212.12534 (2022) - 2021
- [j10]Rohitash Chandra, Shaurya Goyal, Rishabh Gupta:
Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction. IEEE Access 9: 83105-83123 (2021) - [j9]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): 4248-4259 (2021) - [i10]Animesh Tiwari, Rishabh Gupta, Rohitash Chandra:
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown. CoRR abs/2102.10551 (2021) - [i9]Rishabh Gupta, Rajesh N. Rao:
SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus. CoRR abs/2103.11431 (2021) - [i8]Rohitash Chandra, Shaurya Goyal, Rishabh Gupta:
Evaluation of deep learning models for multi-step ahead time series prediction. CoRR abs/2103.14250 (2021) - [i7]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 abs/2105.13975 (2021) - [i6]Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh:
Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends. CoRR abs/2108.09508 (2021) - [i5]Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh:
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation. CoRR abs/2108.12831 (2021) - [i4]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, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [c23]Rishabh Gupta, Vaibhav Mathur, Suryansh Tibarewala, Swati Aggarwal:
A Realistic Polar Influence Propagation Model for Location based Social Networks. BigMM 2020: 209-215 - [i3]Rishabh Gupta, Rajesh N. Rao:
Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion. CoRR abs/2002.02238 (2020) - [i2]Rishabh Gupta, Qi Zhang:
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. CoRR abs/2009.07961 (2020)
2010 – 2019
- 2019
- [j8]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): 42:1-42:27 (2019) - [c22]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: 367-370 - [c21]Rishabh Gupta, Rishabh Ranjan, Jianjun He, Woon-Seng Gan:
Parametric Hear through Equalization for Augmented Reality Audio. ICASSP 2019: 1587-1591 - [c20]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: 11:1-11:8 - [i1]Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. CoRR abs/1906.00145 (2019) - 2018
- [c19]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: 103-109 - [c18]Rishabh Gupta, Anderson R. Avila, Tiago H. Falk:
Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems. QoMEX 2018: 1-6 - 2017
- [j7]Hubert J. Banville, Rishabh Gupta, Tiago H. Falk:
Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces. Comput. Intell. Neurosci. 2017: 3524208:1-3524208:24 (2017) - [j6]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: 115 (2017) - [j5]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): 22-36 (2017) - [j4]Rishabh Gupta, Tiago H. Falk:
Latent factor analysis for synthesized speech quality-of-experience assessment. Qual. User Exp. 2(1) (2017) - [j3]Rishabh Gupta, Ajit Kumar Chaturvedi, Rohit Budhiraja:
Improved Rate-Energy Tradeoff for Energy Harvesting Interference Alignment Networks. IEEE Wirel. Commun. Lett. 6(3): 410-413 (2017) - [c17]Rishabh Gupta, Abdul Qadir Javaid, S. Ali Etemad:
Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions. BHI 2017: 413-416 - [c16]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: 453-456 - [c15]Rishabh Gupta, P. Krishna Reddy:
Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study. ICBK 2017: 41-48 - 2016
- [j2]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: 5 (2016) - [j1]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: 875-884 (2016) - [c14]Rishabh Gupta, P. Krishna Reddy:
Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. CODS 2016: 13:1-13:2 - [c13]Shubham, Rishabh Gupta, Vatsal Gajera, Prasanta K. Jana:
An effective multi-objective workflow scheduling in cloud computing: A PSO based approach. IC3 2016: 1-6 - [c12]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: 317-320 - [c11]Rishabh Gupta, Tiago H. Falk:
Physiological quality-of-experience assessment of text-to-speech systems. MMSP 2016: 1-2 - 2015
- [c10]Rishabh Gupta, Tiago H. Falk:
Affective state characterization based on electroencephalography graph-theoretic features. NER 2015: 577-580 - [c9]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: 914-917 - [c8]Shweta Bhandari, Rishabh Gupta, Vijay Laxmi, Manoj Singh Gaur, Akka Zemmari, Maxim Anikeev:
DRACO: DRoid analyst combo an android malware analysis framework. SIN 2015: 283-289 - [c7]Rishabh Gupta, Hubert J. Banville, Tiago H. Falk:
PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience. WASPAA 2015: 1-5 - 2014
- [c6]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: 1-5 - 2013
- [c5]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: 1168-1173 - [c4]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: 1300-1305 - [c3]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: 152-157 - 2012
- [c2]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: 3235-3238
2000 – 2009
- 2006
- [c1]Jean-Jacques Gras, Rishabh Gupta, Elena Pérez-Miñana:
Generating a Test Strategy with Bayesian Networks and Common Sense. TAIC PART 2006: 29-40
Coauthor Index
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