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Author search results
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- Ravi Kannan
aka: Ravindran Kannan
Yale University, New Haven, Connecticut, USA
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Publication search results
found 236 matches
- 2024
- K. Rajesh, Logesh Ravi, Nalluri Madhusudana Rao, V. Ramaswamy, J. Senthil Kumar, K. Kannan, Mohammad Shorfuzzaman, Amr H. Yousef, Mohamed Elsaid Ragab Elkholy, Sasikumar Asaithambi:
Czekanowsky Hypergraph-Based Deep Learning Classifier for Precision Cyclone Forecasting. IEEE Access 12: 102552-102565 (2024) - Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Random Separating Hyperplane Theorem and Learning Polytopes. ICALP 2024: 25:1-25:20 - Abhimanyu Mukerji, Sushant More, Ashwin Viswanathan Kannan, Lakshmi Ravi, Hua Chen, Naman Kohli, Chris Khawand, Dinesh Mandalapu:
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model. KDD 2024: 5556-5565 - Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan:
MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning. CoRR abs/2406.02778 (2024) - Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan:
Mechanistic interpretability of large language models with applications to the financial services industry. CoRR abs/2407.11215 (2024) - 2023
- M. Renugadevi, Kumaravelu Narasimhan, Chinthaginjala Venkata Ravikumar, Rajesh Anbazhagan, Giovanni Pau, Kannan Ramkumar, Mohamed Abbas, N. Raju, Kaveripaka Sathish, Prabu Sevugan:
Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction. IEEE Access 11: 120868-120880 (2023) - Suja Shree Ravichandran, Kannan Sekar, Vinay Ramanath, Palaniappan Ramu:
Transfer learning in optimization: Interpretable self-organizing maps driven similarity indices to identify candidate source functions. Expert Syst. Appl. 229(Part A): 120529 (2023) - M. Vasim Babu, Ramesh Sekaran, Suthendran Kannan, Vinayakumar Ravi:
CE2RV: Commissioned energy-efficient virtualization for large-scale heterogeneous wireless sensor networks. Int. J. Commun. Syst. 36(9) (2023) - S. Ravikumar, E. Kannan:
Analysis on Mental Stress of Professionals and Pregnant Women Using Machine Learning Techniques. Int. J. Image Graph. 23(5): 2350038:1-2350038:13 (2023) - Orhan Öçal, Swanand Kadhe, Xiao Li, Kannan Ramchandran:
Minimum-Rate Spectrum-Blind Sampling Based on Sparse-Graph Codes. IEEE Trans. Signal Process. 71: 587-600 (2023) - Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong:
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET. ASPLOS (2) 2023: 515-529 - Lena Schwertmann, Manoj Prabhakar Kannan Ravi, Gerard de Melo:
Model-Agnostic Bias Measurement in Link Prediction. EACL (Findings) 2023: 1587-1603 - Papri Dey, Ravi Kannan, Nick Ryder, Nikhil Srivastava:
Bit Complexity of Jordan Normal Form and Polynomial Spectral Factorization. ITCS 2023: 42:1-42:18 - Kiruthika Kannan, Anandhini Rajendran, Vinoo Alluri, Ravi Kiran Sarvadevabhatla:
"Draw Fast, Guess Slow": Characterizing Interactions in Cooperative Partially Observable Settings with Online Pictionary as a Case Study. INTERACT (3) 2023: 283-303 - Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan:
On marginal feature attributions of tree-based models. CoRR abs/2302.08434 (2023) - Konstandinos Kotsiopoulos, Alexey Miroshnikov, Khashayar Filom, Arjun Ravi Kannan:
Approximation of group explainers with coalition structure using Monte Carlo sampling on the product space of coalitions and features. CoRR abs/2303.10216 (2023) - Vakul Goyle, Parvathy Krishnaswamy, Kannan Girija Ravikumar, Utsa Chattopadhyay, Kartikay Goyle:
Neural Machine Translation For Low Resource Languages. CoRR abs/2304.07869 (2023) - Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Random Separating Hyperplane Theorem and Learning Polytopes. CoRR abs/2307.11371 (2023) - 2022
- Bivin Varkey Varghese, Paravurumbel Sreedharan Kannan, Ravilal Soni Jayanth, Johns Thomas, Kavum Muriyil Balachandran Shibu Kumar:
Drone Deployment Algorithms for Effective Communication Establishment in Disaster Affected Areas. Comput. 11(9): 139 (2022) - K. Anish Pon Yamini, Jesmitha Stephy, K. Suthendran, Vinayakumar Ravi:
Improving routing disruption attack detection in MANETs using efficient trust establishment. Trans. Emerg. Telecommun. Technol. 33(5) (2022) - S. Ravikumar, E. Kannan:
Machine Learning Techniques for Identifying Fetal Risk During Pregnancy. Int. J. Image Graph. 22(5): 2250045:1-2250045:31 (2022) - Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan:
Wasserstein-based fairness interpretability framework for machine learning models. Mach. Learn. 111(9): 3307-3357 (2022) - Malathy Jawahar, Prassanna Jayachandran, Vinayakumar Ravi, L. Jani Anbarasi, S. Graceline Jasmine, Manikandan Ramachandran, Ramesh Sekaran, Suthendran Kannan:
Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. Multim. Tools Appl. 81(28): 40451-40468 (2022) - Sharanya Mahapatra, Vishali Kannan, Srinidhi Seshadri, Visvanathan Ravi, S. Sofana Reka:
An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19. Sensors 22(24): 9902 (2022) - K. Anish Pon Yamini, K. Suthendran, T. Arivoli, Vinayakumar Ravi:
New Approach for Advanced Energy Efficiency in MANET (AEE-M) by Improving Optimized Link State Routing Protocol Version 2 (OLSRv2). Wirel. Pers. Commun. 125(3): 2369-2392 (2022) - Archana Kannan, Grigorios Tsagkatakis, Ruzbeh Akbar, Daniel Selva, Vinay Ravindra, Richard Levinson, Sreeja Nag, Mahta Moghaddam:
Forecasting Soil Moisture Using a Deep Learning Model Integrated with Passive Microwave Retrieval. IGARSS 2022: 6112-6114 - Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla:
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. ACM Multimedia 2022: 2852-2861 - Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
How many Clusters? - An algorithmic answer. SODA 2022: 2607-2640 - Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker, Tejas Kannan, Nathan Earnest, Ali Javadi-Abhari, Henry Hoffmann, Frederic T. Chong:
Navigating the dynamic noise landscape of variational quantum algorithms with QISMET. CoRR abs/2209.12280 (2022) - Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla:
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. CoRR abs/2211.05429 (2022)
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