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Publication search results
found 476 matches
- 2025
- P. S. Tejashwini, J. Thriveni, K. R. Venugopal:
A novel SLCA-UNet architecture for automatic MRI brain tumor segmentation. Biomed. Signal Process. Control. 100: 107047 (2025) - 2024
- Tapaswini Pattnaik, Priyadarshi Kanungo, Prabodh Kumar Sahoo, Tejaswini Kar, Prince Jain, Mohamed S. Soliman, Mohammad Tariqul Islam:
An Efficient Low Complex-Functional Link Artificial Neural Network-Based Framework for Uneven Light Image Thresholding. IEEE Access 12: 118315-118338 (2024) - Tejas Ravindra Rote, Murugan Krishnamoorthy, Ansh Bhatia, Rishu Yadav, S. P. Raja:
Distributed Memory Implementation of Bron-Kerbosch Algorithm. IEEE Access 12: 59575-59588 (2024) - Tejaswini Kar, Priyadarshi Kanungo, Sachi Nandan Mohanty, Sven Groppe, Jinghua Groppe:
Video shot-boundary detection: issues, challenges and solutions. Artif. Intell. Rev. 57(4): 104 (2024) - P. S. Tejashwini, J. Thriveni, Venugopal K. R.:
EBT Deep Net: Ensemble brain tumor Deep Net for multi-classification of brain tumor in MR images. Biomed. Signal Process. Control. 95: 106312 (2024) - Ankur Datta, Neethu George, Tejaswini Koppolu, Udhaya Kumar. S, R. Bithia, Hatem Zayed, George Priya Doss. C:
Unraveling the intricate physiological processes dysregulated in CHD-affected and Dan-Lou tablet-treated individuals. Comput. Biol. Chem. 112: 108151 (2024) - David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers:
Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Comput. Medical Imaging Graph. 116: 102419 (2024) - Praveen Kumar Kollu, Tejaswini Sambrajyam Janjanam, Kavya Sharmila Siram:
Comparative analysis of cloud resources forecasting using deep learning techniques based on VM workload traces. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - Tejas Karkera, Chandranath Adak, Soumi Chattopadhyay, Muhammad Saqib:
Detecting severity of Diabetic Retinopathy from fundus images: A transformer network-based review. Neurocomputing 597: 127991 (2024) - Deepthi Raghunandan, Zhe Cui, Kartik Krishnan, Segen Tirfe, Shenzhi Shi, Tejaswi Darshan Shrestha, Leilani Battle, Niklas Elmqvist:
Lodestar: Supporting rapid prototyping of data science workflows through data-driven analysis recommendations. Inf. Vis. 23(1): 21-39 (2024) - Mamidipaka Tejaswini, T. Hari Sumanth, K. Jairam Naik:
Single image deraining using modified bilateral recurrent network (modified_BRN). Multim. Tools Appl. 83(2): 3373-3396 (2024) - Vankayala Tejaswini, Korra Sathya Babu, Bibhudatta Sahoo:
Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(1): 4:1-4:20 (2024) - Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu:
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. 3DV 2024: 516-527 - Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi:
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract). AAAI 2024: 23552-23553 - Amit Dhurandhar, Tejaswini Pedapati, Ronny Luss, Soham Dan, Aurélie C. Lozano, Payel Das, Georgios Kollias:
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models. ACL (Findings) 2024: 2416-2430 - Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu:
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. ACL (Findings) 2024: 12935-12948 - Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi:
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting. ECCV (6) 2024: 324-342 - Kimberly Ferguson-Walter, Sunny Fugate, Dana Lafon, Tejas Patel:
Introduction to the Minitrack on Cyber Deception and Cyberpsychology for Defense. HICSS 2024: 933 - Samuktha V., Hershita Shukla, Nitish Kumar, Tejasri Nampally, D. Santhosh Reddy, P. Rajalakshmi:
Improving Radar-Camera Fusion Network for Distance Estimation. ICCAE 2024: 23-29 - Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated Classification of Multi-Parametric Body MRI Series. ISBI 2024: 1-5 - Tejas Duseja, K. M. Annervaz, Jeevithiesh Duggani, Shyam Zacharia, Michael Free, Ambedkar Dukkipati:
Learning to Switch off, Switch on, and Integrate Modalities in Large Pre-trained Transformers. MIPR 2024: 403-409 - Tejas Kannan, Synthia Qia Wang, Max Sunog, Abraham Bueno de Mesquita, Nick Feamster, Henry Hoffmann:
Acoustic Keystroke Leakage on Smart Televisions. NDSS 2024 - Lloyd Brown, Emily Marx, Dev Bali, Emmanuel Amaro, Debnil Sur, Ezra Kissel, Inder Monga, Ethan Katz-Bassett, Arvind Krishnamurthy, James Murphy McCauley, Tejas Narechania, Aurojit Panda, Scott Shenker:
An Architecture For Edge Networking Services. SIGCOMM 2024: 645-660 - Haarika Manda, Varshika Srinivasavaradhan, Laasya Koduru, Kevin Zhang, Xuanhe Zhou, Udit Paul, Elizabeth M. Belding, Arpit Gupta, Tejas N. Narechania:
The Efficacy of the Connect America Fund in Addressing US Internet Access Inequities. SIGCOMM 2024: 484-505 - Danish Khan, Kumar Tejashwa, Sushruta Mishra:
Analyzing Safety Risk Variables in Real time at Construction Sites Using YOLOv8 Architecture 73-95. SNSFAIT 2024: 73-95 - Anshul Bhaware, Gaurav Varshney, Jaswinder Kour, Tejaswi Bishnoi, Mudit Jain, Dalchandra Sharma:
A Privacy Preserving Context Sensitive Kernel. WiseML@WiSec 2024: 20-25 - Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu:
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. CoRR abs/2402.07819 (2024) - Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers:
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR abs/2402.08098 (2024) - David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers:
Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT. CoRR abs/2402.08697 (2024) - Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu:
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. CoRR abs/2402.15610 (2024)
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