Rishabh Gupta - RankMe

101 papers A 4B 4C 2Misc 2Journal 66Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention. CoRR Madhusudan Ghosh, Rishabh Gupta
2026	J	`jnl`	Spectral methods: crucial for machine learning, natural for quantum computers? CoRR Vasilis Belis, Joseph Bowles, Rishabh Gupta, Evan Peters, Maria Schuld
2025	J	`jnl`	An Intelligent Multi-Depot Vehicle Routing and Management Model for Smart Cities. IEEE Trans. Intell. Transp. Syst. Deepika Saxena, Niharika Singh, Kishu Gupta, Abhishek Verma, Vinaytosh Mishra, Jitendra Kumar, Ishu Gupta, Sakshi Patni, Rishabh Gupta, Jatinder Kumar, Ashutosh Kumar Singh
2025	J	`jnl`	Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models. CoRR Gunjan Das, Paheli Bhattacharya, Rishabh Gupta
2025	J	`jnl`	Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization. Trans. Mach. Learn. Res. Shivi Dixit, Rishabh Gupta, Qi Zhang
2025	Misc	`conf`	Enhanced Loudspeaker Membrane Excursion Control Method Using Low Latency Distortion Prediction and Efficient LSTM Networks. ICASSP Rishabh Gupta, Sandeep Agri, Yughendaran Palanivel, Omsrinath Chelamkuri, Raj Narayana Gadde
2025	J	`jnl`	Entropy-Assisted Quality Pattern Identification in Finance. Entropy Rishabh Gupta, Shivam Gupta, Jaskirat Singh, Sabre Kais
2025	—	`conf`	Interactive Spatial Audio Rendering on Mobile Devices: A Two-Stage User Interface with Adaptive HRTF Selection and Real-Time Room Acoustics Simulation. APSIPA Shravan Raghunath, Kanishk AL, Sailesh S, Rishabh Gupta, Saurav Gupta, Ramesh R
2025	J	`jnl`	LLM Based Long Code Translation using Identifier Replacement. CoRR Manojit Chakraborty, Madhusudan Ghosh, Rishabh Gupta
2025	A	`conf`	Low Complex IIR Adaptive Hear-Through Ambient Filtering for Overcoming Practical Constraints in Earbuds. INTERSPEECH Rishabh Gupta, MLNS Karthik, Yughendaran Palanivel
2025	J	`jnl`	ReXCL: A Tool for Requirement Document Extraction and Classification. CoRR Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam, Rishabh Gupta
2025	A	`conf`	Read, Extract, Classify: A Tool for Smarter Requirements Engineering. RE Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam, Rishabh Gupta
2025	A	`conf`	Sub-band based Adaptive IIR Algorithm with Biquad Filter Stability Constraints for Feedforward Hear-Through Equalization. INTERSPEECH Rishabh Gupta, MLNS Karthik, Omsrinath Chelamkuri
2024	—	`conf`	Adding SPICE to Life: Speaker Profiling in Multiparty Conversations. LREC/COLING Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty
2024	—	`conf`	Deep Learning Based Named Entity Recognition Models for Recipes. LREC/COLING Ayush Agarwal, Janak Kapuriya, Shubham Agrawal, Akhil Vamshi Konam, Mansi Goel, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler
2024	J	`jnl`	Deep Learning Based Named Entity Recognition Models for Recipes. CoRR Mansi Goel, Ayush Agarwal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi Konam, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler
2024	J	`jnl`	Digital Twin Generators for Disease Modeling. CoRR 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
2024	J	`jnl`	Emerging VM Threat Prediction and Dynamic Workload Estimation for Secure Resource Management in Industrial Clouds. IEEE Trans Autom. Sci. Eng. Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh, Athanasios V. Vasilakos
2024	J	`jnl`	Estimating soil mineral nitrogen from data-sparse field experiments using crop model-guided deep learning approach. Comput. Electron. Agric. 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
2024	J	`jnl`	FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments. CoRR Kishu Gupta, Deepika Saxena, Rishabh Gupta, Jatinder Kumar, Ashutosh Kumar Singh
2024	J	`jnl`	FedMUP: Federated learning driven malicious user prediction model for secure data distribution in cloud environments. Appl. Soft Comput. Kishu Gupta, Deepika Saxena, Rishabh Gupta, Jatinder Kumar, Ashutosh Kumar Singh
2024	J	`jnl`	MAIDS: Malicious Agent Identification-based Data Security Model for Cloud Environments. CoRR Kishu Gupta, Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
2024	J	`jnl`	MAIDS: malicious agent identification-based data security model for cloud environments. Clust. Comput. Kishu Gupta, Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
2024	J	`jnl`	Selective Shot Learning for Code Explanation. CoRR Paheli Bhattacharya, Rishabh Gupta
2024	J	`jnl`	Sparse Graph Representations for Procedural Instructional Documents. CoRR Shruti Singh, Rishabh Gupta
2024	J	`jnl`	Towards an AI-Based Objective Prognostic Model for Quantifying Wound Healing. IEEE J. Biomed. Health Informatics Rishabh Gupta, Lucas Goldstone, Shira Eisen, Dhanesh Ramachandram, Amy Cassata, Robert D. J. Fraser, Jose L. Ramirez-Garcialuna, Robert Bartlett, Justin Allport
2023	J	`jnl`	A Reliable Client Detection System during Load Balancing for Multi-tenant Cloud Environment. SN Comput. Sci. Ashutosh Kumar Singh, Sakshi Chhabra, Rishabh Gupta, Deepika Saxena
2023	J	`jnl`	A differential approach and deep neural network based data privacy-preserving model in cloud environment. J. Ambient Intell. Humaniz. Comput. Rishabh Gupta, Ishu Gupta, Deepika Saxena, Ashutosh Kumar Singh
2023	J	`jnl`	An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity. CoRR Deepika Saxena, Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Xiaoqing Wen
2023	J	`jnl`	An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity. IEEE Trans. Syst. Man Cybern. Syst. Deepika Saxena, Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Xiaoqing Wen
2023	J	`jnl`	An IoT-Centric Data Protection Method for Preserving Security and Privacy in Cloud. IEEE Syst. J. Rishabh Gupta, Ishu Gupta, Ashutosh Kumar Singh, Deepika Saxena, Chung-Nan Lee
2023	J	`jnl`	Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising. CoRR Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
2023	—	`conf`	Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. ACL (1) Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar
2023	J	`jnl`	Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. CoRR Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar
2023	J	`jnl`	Cryptography approach for Secure Outsourced Data Storage in Cloud Environment. CoRR Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
2023	J	`jnl`	Data-driven decision-focused surrogate modeling. CoRR Rishabh Gupta, Qi Zhang
2023	J	`jnl`	Dimension reduction and redundancy removal through successive Schmidt decompositions. CoRR Ammar Daskin, Rishabh Gupta, Sabre Kais
2023	J	`jnl`	Efficient learning of decision-making models: A penalty block coordinate descent algorithm for data-driven inverse optimization. Comput. Chem. Eng. Rishabh Gupta, Qi Zhang
2023	—	`conf`	Exploring Large Language Models for Code Explanation. FIRE (Working Notes) Paheli Bhattacharya, Manojit Chakraborty, Kartheek N. S. N. Palepu, Vikas Pandey, Ishan Dindorkar, Rakesh Rajpurohit, Rishabh Gupta
2023	J	`jnl`	Exploring Large Language Models for Code Explanation. CoRR Paheli Bhattacharya, Manojit Chakraborty, Kartheek N. S. N. Palepu, Vikas Pandey, Ishan Dindorkar, Rakesh Rajpurohit, Rishabh Gupta
2023	A	`conf`	James ate 5 oranges = Steve bought 5 pencils: Structure-Aware Denoising for Paraphrasing Word Problems. CIKM Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
2023	J	`jnl`	Power consumption forecast model using ensemble learning for smart grid. J. Supercomput. Jatinder Kumar, Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
2023	—	`conf`	RECIPE: A Vehicle RECall Incident PrEdiction Method. ITSC Manojit Chakraborty, Rishabh Gupta
2023	J	`jnl`	Speaker Profiling in Multiparty Conversations. CoRR Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty
2022	—	`conf`	'John Ate 5 Apples' != 'John Ate Some Apples': Self-supervised Paraphrase Quality Detection for Algebraic Word Problems. ECML/PKDD (6) Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
2022	J	`jnl`	'John ate 5 apples' != 'John ate some apples': Self-Supervised Paraphrase Quality Detection for Algebraic Word Problems. CoRR Rishabh Gupta, Venktesh V, Mukesh K. Mohania, Vikram Goyal
2022	J	`jnl`	A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment. CoRR Rishabh Gupta, Ashutosh Kumar Singh
2022	J	`jnl`	A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment. New Gener. Comput. Rishabh Gupta, Ashutosh Kumar Singh
2022	J	`jnl`	A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment. CoRR Ashutosh Kumar Singh, Rishabh Gupta
2022	J	`jnl`	A Privacy-Preserving Outsourced Data Model in Cloud Environment. CoRR Rishabh Gupta, Ashutosh Kumar Singh
2022	J	`jnl`	A privacy-preserving model based on differential approach for sensitive data in cloud environment. Multim. Tools Appl. Ashutosh Kumar Singh, Rishabh Gupta
2022	J	`jnl`	A privacy-preserving model for cloud data storage through fog computing. Int. J. Comput. Aided Eng. Technol. Rishabh Gupta, Ashutosh Kumar Singh
2022	J	`jnl`	Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering. IEEE Signal Process. Mag. Rishabh Gupta, Jianjun He, Rishabh Ranjan, Woon-Seng Gan, Florian Klein, Christian Schneiderwind, Annika Neidhardt, Karlheinz Brandenburg, Vesa Välimäki
2022	J	`jnl`	Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. INFORMS J. Comput. Rishabh Gupta, Qi Zhang
2022	J	`jnl`	Differential and Access Policy Based Privacy-Preserving Model in Cloud Environment. J. Web Eng. Rishabh Gupta, Ashutosh Kumar Singh
2022	J	`jnl`	Differential and TriPhase Adaptive Learning-Based Privacy-Preserving Model for Medical Data in Cloud Environment. IEEE Netw. Lett. Rishabh Gupta, Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh
2022	J	`jnl`	Efficient Learning of Decision-Making Models: A Penalty Block Coordinate Descent Algorithm for Data-Driven Inverse Optimization. CoRR Rishabh Gupta, Qi Zhang
2022	J	`jnl`	Quantum Machine Learning Driven Malicious User Prediction for Cloud Network Communications. IEEE Netw. Lett. Rishabh Gupta, Deepika Saxena, Ishu Gupta, Aaisha Makkar, Ashutosh Kumar Singh
2021	J	`jnl`	A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation. CoRR Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
2021	J	`jnl`	Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends. CoRR Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
2021	J	`jnl`	Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown. CoRR Animesh Tiwari, Rishabh Gupta, Rohitash Chandra
2021	J	`jnl`	Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction. IEEE Access Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
2021	J	`jnl`	Evaluation of deep learning models for multi-step ahead time series prediction. CoRR Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
2021	J	`jnl`	MLPAM: A Machine Learning and Probabilistic Analysis Based Model for Preserving Security and Privacy in Cloud Environment. IEEE Syst. J. Ishu Gupta, Rishabh Gupta, Ashutosh Kumar Singh, Rajkumar Buyya
2021	J	`jnl`	NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR 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 Martinez, Aman Srivastava, KV 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
2021	J	`jnl`	Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction. CoRR Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
2021	J	`jnl`	SEMIE: SEMantically Infused Embeddings with Enhanced Interpretability for Domain-specific Small Corpus. CoRR Rishabh Gupta, Rajesh N. Rao
2020	—	`conf`	A Realistic Polar Influence Propagation Model for Location based Social Networks. BigMM Rishabh Gupta, Vaibhav Mathur, Suryansh Tibarewala, Swati Aggarwal
2020	J	`jnl`	Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization. CoRR Rishabh Gupta, Qi Zhang
2020	J	`jnl`	Towards Semantic Noise Cleansing of Categorical Data based on Semantic Infusion. CoRR Rishabh Gupta, Rajesh N. Rao
2019	—	`conf`	A Hybrid Framework for Functional Verification using Reinforcement Learning and Deep Learning. ACM Great Lakes Symposium on VLSI Karunveer Singh, Rishabh Gupta, Vikram Gupta, Arash Fayyazi, Massoud Pedram, Shahin Nazarian
2019	J	`jnl`	DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. CoRR Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty
2019	J	`jnl`	DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. ACM Trans. Intell. Syst. Technol. Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty
2019	—	`conf`	Extensible Framework for Analysis of Farm Practices and Programs. PEARC 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
2019	Misc	`conf`	Parametric Hear through Equalization for Augmented Reality Audio. ICASSP Rishabh Gupta, Rishabh Ranjan, Jianjun He, Woon-Seng Gan
2018	—	`conf`	Simple Features for Strong Performance on Named Entity Recognition in Code-Switched Twitter Data. CodeSwitch@ACL Devanshu Jain, Maria Kustikova, Mayank Darbari, Rishabh Gupta, Stephen Mayhew
2018	B	`conf`	Towards a Neuro-Inspired No-Reference Instrumental Quality Measure for Text-to-Speech Systems. QoMEX Rishabh Gupta, Anderson R. Avila, Tiago H. Falk
2017	—	`conf`	Balance-based time-frequency features for discrimination of young and elderly subjects using unsupervised methods. BHI Abdul Qadir Javaid, Rishabh Gupta, Alex Mihalidis, S. Ali Etemad
2017	J	`jnl`	Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips. Frontiers Comput. Neurosci. Andrea Clerico, Abhishek Tiwari, Rishabh Gupta, Srinivasan Jayaraman, Tiago H. Falk
2017	J	`jnl`	Improved Rate-Energy Tradeoff for Energy Harvesting Interference Alignment Networks. IEEE Wirel. Commun. Lett. Rishabh Gupta, Ajit Kumar Chaturvedi, Rohit Budhiraja
2017	J	`jnl`	Latent factor analysis for synthesized speech quality-of-experience assessment. Qual. User Exp. Rishabh Gupta, Tiago H. Falk
2017	J	`jnl`	Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces. Comput. Intell. Neurosci. Hubert J. Banville, Rishabh Gupta, Tiago H. Falk
2017	J	`jnl`	Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems. IEEE J. Sel. Top. Signal Process. Rishabh Gupta, Hubert J. Banville, Tiago H. Falk
2017	—	`conf`	Towards Question Improvement on Knowledge Sharing Platforms: A Stack Overflow Case Study. ICBK Rishabh Gupta, P. Krishna Reddy
2017	—	`conf`	Towards unsupervised coherence-based assessment of ECG quality in different posture and movement conditions. BHI Rishabh Gupta, Abdul Qadir Javaid, S. Ali Etemad
2016	B	`conf`	A Quality Adaptive Multimodal Affect Recognition System for User-Centric Multimedia Indexing. ICMR Rishabh Gupta, Mojtaba Khomami Abadi, Jesús Alejandro Cárdenes Cabré, Fabio Morreale, Tiago H. Falk, Nicu Sebe
2016	—	`conf`	An effective multi-objective workflow scheduling in cloud computing: A PSO based approach. IC3 Shubham, Rishabh Gupta, Vatsal Gajera, Prasanta K. Jana
2016	—	`conf`	Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. CODS Rishabh Gupta, P. Krishna Reddy
2016	C	`conf`	Physiological quality-of-experience assessment of text-to-speech systems. MMSP Rishabh Gupta, Tiago H. Falk
2016	J	`jnl`	Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization. Neurocomputing Rishabh Gupta, Khalil ur Rehman Laghari, Tiago H. Falk
2016	J	`jnl`	Using affective brain-computer interfaces to characterize human influential factors for speech quality-of-experience perception modelling. Hum. centric Comput. Inf. Sci. Rishabh Gupta, Khalil ur Rehman Laghari, Hubert J. Banville, Tiago H. Falk
2015	—	`conf`	Affective state characterization based on electroencephalography graph-theoretic features. NER Rishabh Gupta, Tiago H. Falk
2015	C	`conf`	DRACO: DRoid analyst combo an android malware analysis framework. SIN Shweta Bhandari, Rishabh Gupta, Vijay Laxmi, Manoj Singh Gaur, Akka Zemmari, Maxim Anikeev
2015	—	`conf`	Mutual information between inter-hemispheric EEG spectro-temporal patterns: A new feature for automated affect recognition. NER Andrea Clerico, Rishabh Gupta, Tiago H. Falk
2015	—	`conf`	PhySyQX: A database for physiological evaluation of synthesised speech quality-of-experience. WASPAA Rishabh Gupta, Hubert J. Banville, Tiago H. Falk
2014	—	`conf`	Characterization of human emotions and preferences for text-to-speech systems using multimodal neuroimaging methods. CCECE Khalil ur Rehman Laghari, Rishabh Gupta, Sebastian Arndt, Jan-Niklas Antons, Sebastian Möller, Tiago H. Falk
2013	B	`conf`	Neurophysiological experimental facility for Quality of Experience (QoE) assessment. IM Khalil ur Rehman Laghari, Rishabh Gupta, Sebastian Arndt, Jan-Niklas Antons, Robert Schleicher, Sebastian Möller, Tiago H. Falk
2013	—	`conf`	Objective characterization of human behavioural characteristics for QoE assessment: A pilot study on the use of electroencephalography features. GLOBECOM Workshops Khalil ur Rehman Laghari, Rishabh Gupta, Jan-Niklas Antons, Robert Schleicher, Sebastian Möller, Tiago H. Falk
2013	B	`conf`	Subjective quality ratings and physiological correlates of synthesized speech. QoMEX Sebastian Arndt, Jan-Niklas Antons, Rishabh Gupta, Khalil ur Rehman Laghari, Robert Schleicher, Sebastian Möller, Tiago H. Falk
2012	—	`conf`	Development of an autonomic portable single-board computer based high resolution NIRS device for microcirculation analysis. EMBC Elagiri Ramalingam Rajkumar, Javad Safaie, Rishabh Gupta, Deepak Pattnaik, Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois
2006	—	`conf`	Generating a Test Strategy with Bayesian Networks and Common Sense. TAIC PART Jean-Jacques Gras, Rishabh Gupta, Elena Pérez-Miñana