Rishabh Sharma

53 papers A* 1C 3Journal 17Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Data Centric Approach to the Design of Unknown Input Functional Observers. IEEE Access Pankaj Vadhvani, Rishabh Sharma, Nutan Kumar Tomar
2026	J	`jnl`	Cross-View World Models. CoRR Rishabh Sharma, Gijs Hogervorst, Wayne E. Mackey, David J. Heeger, Stefano Martiniani
2025	J	`jnl`	Artificial blood - hope and the challenges to combat tumor hypoxia for anti-cancer therapy. Medical Biol. Eng. Comput. Rishabh Sharma, Manju Kashyap, Hatem Zayed, Lucky Krishnia, Manoj Kumar Kashyap
2025	J	`jnl`	Deciphering emotions in comics: analysis of emotion classification of comic characters via attention-based deep learning models. Multim. Tools Appl. Rishabh Sharma, Vinay Kukreja
2025	J	`jnl`	Design and development of an efficient RLNet prediction model for deepfake video detection. Frontiers Big Data Varad Bhandarkawthekar, T. M. Navamani, Rishabh Sharma, K. Shyamala
2025	—	`conf`	Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows. CUG Martin Foltin, Andrew Shao, Rishabh Sharma, Shreyas Kulkarni, Ann Mary Justine Koomthanam, Aalap Tripathy, Cong Xu, Wenqian Dong, Suparna Bhattacharya, Brian Sammuli, Paolo Faraboschi
2025	J	`jnl`	Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation. J. Chem. Inf. Model. Victor H. R. Nogueira, Rishabh Sharma, Rafael V. C. Guido, Michael J. Keiser
2025	J	`jnl`	Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI. J. Imaging Inform. Medicine Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Andrew G. Webb, Ernst L. Leiss, Nikolaos V. Tsekos
2024	—	`conf`	A Combined Deep Learning Approach for Pusa Gourd Classification in India. ICCCNT Prince Sood, Satvik Vats, Vandana Ahuja, Rishabh Sharma
2024	—	`conf`	Advanced Skin Disease Classification with VGG19, YOLOv3, and MobileNet. ICCCNT Himani Bhatia, Satvik Vats, Rishabh Sharma
2024	J	`jnl`	Advancing Climate Forecasting Accuracy Through Neurosymbolic Integration: Unveiling the Neurosymbolic Climate Inference and Prediction (NS-CIP) Model's Approach to Predicting Extreme Weather Events. SN Comput. Sci. Vinay Kukreja, Tejinder Pal Singh Brar, Satvik Vats, Ankit Bansal, Rishabh Sharma
2024	—	`conf`	Alzheimer's Disease Detection Through Spatially Attentive Enhanced Low-Mid-High Level Feature Modelling using Deep CNN. ICCCNT Santosh Kumar Tripathy, Poonkuntran Shanmugham, Rishabh Sharma, Yash Doshi
2024	—	`conf`	Automated Classification of Indian Watermelon Varieties Using CNN-PCA: A Machine Learning Approach. ICCCNT Rishabh Sharma, Prateek Garg
2024	—	`conf`	Botanical Differentiation: Indian Mint Types with CNN-XGBoost. ICCCNT Rishabh Sharma, Shikhar Gupta
2024	—	`conf`	Botanical Distinction: Classifying Basil Types in India with CNN and Random Forest - An Advanced Study. ICCCNT Rishabh Sharma, Sahil Khurana
2024	—	`conf`	CNN-SVM Fusion: A Robust Method for Emotion Detection in Faces. ICCCNT Satvik Vats, Harpreet Kour, Ruchika Aggarwal, Navneet Katoch, Rishabh Sharma, R. D. Gomathi
2024	—	`conf`	Creating a New Way to Classify Squash Varieties in India by Using CNN and LSTM Techniques. ICCCNT Rishabh Sharma, Shikhar Gupta
2024	—	`conf`	Cultivar Discrimination: CNN and Genetic Algorithms for Classifying Different Varieties of Ginger Plants. ICCCNT Satvik Vats, Rishabh Sharma
2024	—	`conf`	Deciphering Indian Peppermint Classes: CNN and Decision Trees Fusion. ICCCNT Satvik Vats, Rishabh Sharma
2024	—	`conf`	Discerning India's Garlic Tapestry: Yamuna Safed, G-41 and G-282 Classification using CNN and SVM. ICCCNT Satvik Vats, Rishabh Sharma
2024	—	`conf`	Distinctive Zucchini Classification in India: Leveraging CNN and RNN Models. ICCCNT Satvik Vats, Rishabh Sharma
2024	—	`conf`	Empowering Indian Agriculture: Fenugreek Variety Classification through CNN and Ensemble Learning. ICCCNT Rishabh Sharma, Jagmeet Sohal
2024	—	`conf`	Hierarchical Classification of Indian Ridge Gourd Varieties: CNN-SVM Fusion Approach. ICCCNT Rishabh Sharma, Abhinav Mishra
2024	J	`jnl`	Image segmentation, classification and recognition methods for comics: A decade systematic literature review. Eng. Appl. Artif. Intell. Rishabh Sharma, Vinay Kukreja
2024	—	`conf`	Indian French Bean Varieties: CNN vs. Decision Trees Model Analysis. ICCCNT Pooja Verma, Satvik Vats, Rishabh Sharma
2024	—	`conf`	Meta-Learning Framework for Coriander Variety Classification using CNN and DBN. ICCCNT Rishabh Sharma, Lovish Dhingra
2024	—	`conf`	Pre-trained InceptionV3 for Efficient Tuberculosis Detection. ICCCNT Vandana Ahuja, Satvik Vats, Rishabh Sharma
2024	—	`conf`	Unveiling Diversity: CNN-LSTM Model for Indian Asparagus Types UC 157, Mary Washington and Jersey Giant. ICCCNT Satvik Vats, Harpreet Kour, Ruchika Aggarwal, Navneet Katoch, Rishabh Sharma
2024	—	`conf`	Using CNN and Gradient Boosting to Accurately Classify Guar Varieties in India. ICCCNT Rishabh Sharma, Nishant Bhardwaj
2023	—	`conf`	Application of Deep Learning Strategy for Multi-classification of Indian Heritage Images. ICCCNT Vinay Kukreja, Rishabh Sharma, Dibyahash Bordoloi
2023	—	`conf`	Crop Vigil: Automated Wheat Bunt Disease Multi-Classification with a CNN-RNN Hybrid Model and Attention Block. ICCCNT Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Aditya Verma
2023	—	`conf`	Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification. ICCCNT Nikhil Dhawan, Vinay Kukreja, Rishabh Sharma, Satvik Vats, Aditya Verma
2023	—	`conf`	DeepLeaf: Revolutionizing Rice Disease Detection and Classification using Convolutional Neural Networks and Random Forest Hybrid Model. ICCCNT Vinay Kukreja, Rishabh Sharma, Satvik Vats, Manika Manwal
2023	C	`conf`	Dense U-Nets for Enhancement of Undersampled MRI Using Cross-Contrast Feature Transfer. BIBE Robert Griffin, Rishabh Sharma, Andrew G. Webb, Nikolaos V. Tsekos
2023	—	`conf`	FesNas: A Breakthrough Algorithm for Multi-Classification of Wheat Black Rust Intensity Levels. ICCCNT Amandeep Singh, Sweety Sehgal, Manish Mahajan, Vinay Kukreja, Rishabh Sharma, Satvik Vats
2023	C	`conf`	From Perception to Precision: Navigating Perceptual Loss in MRI Super-Resolution. BIBE Mohammad Javadi, Rishabh Sharma, Panagiotis Tsiamyrtzis, Shishir Shah, Ernst L. Leiss, Nikolaos V. Tsekos
2023	—	`conf`	Hybrid Classification Model using CNN & SVM for Seven Wonders of the World. ICCCNT Varun Jindal, Anuj Kumar Jain, Vinay Kukreja, Raj Gaurang Tiwari, Satvik Vats, Rishabh Sharma
2023	J	`jnl`	Light Field View Synthesis Using the Focal Stack and All-in-Focus Image. Sensors Rishabh Sharma, Stuart W. Perry, Eva Cheng
2023	—	`conf`	Smart logistics multi-classification system using CNN and LSTM. ICCCNT Rishabh Sharma, Vinay Kukreja, Satvik Vats
2023	—	`conf`	Sustainable PRS: A hybrid DL-based parcel recognition approach. ICCCNT Ankit Bansal, Rishabh Sharma, Vinay Kukreja, Amitoj Singh, Satvik Vats
2023	—	`conf`	Towards Smart Agriculture: Automated Detection and Diagnosis of Bean Leaf Diseases Using ResNext50 Model. ICCCNT Manish Mahajan, Rishabh Sharma, Amandeep Singh, Vinay Kukreja, Satvik Vats
2023	—	`conf`	Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. ICCCNT Shruti Garg, Vinay Kukreja, Rishabh Sharma, Vikrant Sharma, Manisha Aeri
2022	J	`jnl`	Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Anal. Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau
2022	A*	`conf`	Gradient Based Activations for Accurate Bias-Free Learning. AAAI Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri
2022	J	`jnl`	Gradient Based Activations for Accurate Bias-Free Learning. CoRR Vinod K. Kurmi, Rishabh Sharma, Yash Vardhan Sharma, Vinay P. Namboodiri
2022	J	`jnl`	Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis. Sensors Rishabh Sharma, Stuart W. Perry, Eva Cheng
2021	J	`jnl`	Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. CoRR Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom Berihu Girum, Anja Hennemuth, Markus Hüllebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig H. Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphaël Couturier, Fabrice Mériaudeau
2020	C	`conf`	Myocardial Infarction Segmentation in Late Gadolinium Enhanced MRI Images using Data Augmentation and Chaining Multiple U-Net. BIBE Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos
2020	—	`conf`	SM2N2: A Stacked Architecture for Multimodal Data and Its Application to Myocardial Infarction Detection. M&Ms and EMIDEC/STACOM@MICCAI Rishabh Sharma, Christoph F. Eick, Nikolaos V. Tsekos
2020	J	`jnl`	SunPy: A Python package for Solar Physics. J. Open Source Softw. Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray
2019	J	`jnl`	FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications. CoRR Arpit Jadon, Mohd. Omama, Akshay Varshney, Mohammad Samar Ansari, Rishabh Sharma
2018	—	`conf`	Classification of Graphical User Interfaces Through Gaze-Based Features. RTIP2R (1) Rishabh Sharma, Hubert Cecotti
2012	J	`jnl`	Binarization based edge detection using universal law of gravity and ant colony optimization. Int. J. Hybrid Intell. Syst. Om Prakash Verma, Madasu Hanmandlu, Rishabh Sharma