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Publication search results
found 55 matches
- 2024
- Sanjay Kumar Singh, Amit Sinha, Harikesh Singh, Aniket Mahanti, Abhishek Patel, Shubham Mahajan, Amit Kant Pandit, Varadarajan Vijayakumar:
A novel deep learning-based technique for detecting prostate cancer in MRI images. Multim. Tools Appl. 83(5): 14173-14187 (2024) - Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, Siddhant Dutta, Sairupa Thota, Husayn Gokal, Nandan Patel, Muhammad Al-Zafar Khan, Ioannis Theodonis, Mohamed Bennai:
Financial fraud detection using quantum graph neural networks. Quantum Mach. Intell. 6(1): 7 (2024) - Konudula Anjali Rao, Abhishek Kumar, Sujit Kumar Patel, Dmitry I. Kaplun, Neetesh Purohit:
Design of Frequency Sampling Rational Rate Polyphase FIR Converter. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 962-966 (2024) - Samarth Patel, Abhishek Mukhopadhyay, Priyavrat Sharma, Pradipta Biswas:
A Machine Learning-Based Framework for Real-Time 3D Reconstruction and Space Utilization in Built Environments. IUI Workshops 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) - 2023
- Abhishek Patel, Ajaykumar Kethavath, N. L. Kushwaha, Anandkumar Naorem, Manisha Jagadale, Sheetal K. R., Renjith P. S.:
Review of artificial intelligence and internet of things technologies in land and water management research during 1991-2021: A bibliometric analysis. Eng. Appl. Artif. Intell. 123(Part B): 106335 (2023) - Konudula Anjali Rao, Abhishek Kumar, Dmitrii I. Kaplun, Sujit Kumar Patel, Neetesh Purohit:
Design of low complexity parallel polyphase finite impulse response filter using coefficient symmetry. IET Circuits Devices Syst. 17(1): 29-37 (2023) - Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Nripendra P. Rana, Abdullah M. Baabdullah, Arpan Kumar Kar, Alex Koohang, Samuel Ribeiro-Navarrete, Nina Belei, Janarthanan Balakrishnan, Sriparna Basu, Abhishek Behl, Gareth H. Davies, Vincent Dutot, Rohita Dwivedi, Leighton Evans, Reto Felix, Richard Foster-Fletcher, Mihalis Giannakis, Ashish Gupta, Chris Hinsch, Animesh Jain, Nina Jane Patel, Timothy Jung, Satinder Juneja, Qeis Kamran, Sanjar Mohamed AB, Neeraj Pandey, Savvas Papagiannidis, Ramakrishnan Raman, Philipp A. Rauschnabel, Preeti Tak, Alexandra Taylor, M. Claudia tom Dieck, Giampaolo Viglia, Yichuan Wang, Meiyi Yan:
Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse. Inf. Syst. Frontiers 25(5): 2071-2114 (2023) - Sheetal Nagar, Shanky Saxena, Govind Singh Patel, Seema Nayak, Abhishek Kumar:
A Design and Investigation Inexact Compressor Based on Low Power Multiplier. J. Circuits Syst. Comput. 32(17): 2350298:1-2350298:18 (2023) - Abhishek Gudipalli, Vaibhav Kejriwal, Vaishnavi Patel, Riddhi Gupta, Utkarsh Dixit:
COVID bell - A smart doorbell solution for prevention of COVID-19. Paladyn J. Behav. Robotics 14(1) (2023) - Anupam Choudhary, Abhishek Badholia, Anurag Sharma, Brijesh Patel, Sapna Jain:
A dynamic K-means-based clustering algorithm using fuzzy logic for CH selection and data transmission based on machine learning. Soft Comput. 27(10): 6135-6149 (2023) - Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR 2023: 6967-6977 - Abhishek D. Patel, Amit Thakkar:
Drug Uniformity and Content Detection for Pharmaceutical Formulations: The Deep Learning Approach. FIRE 2023: 112-114 - Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers:
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. AMAI@MICCAI 2023: 62-71 - Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR abs/2301.02280 (2023) - Nouhaila Innan, Abhishek Sawaika, Ashim Dhor, Siddhant Dutta, Sairupa Thota, Husayn Gokal, Nandan Patel, Muhammad Al-Zafar Khan, Ioannis Theodonis, Mohamed Bennai:
Financial Fraud Detection using Quantum Graph Neural Networks. CoRR abs/2309.01127 (2023) - 2022
- Ajay Kumar, Kumar Abhishek, Muhammad Rukunuddin Ghalib, Pranav Nerurkar, Kunjal Shah, Madhav Chandane, Sunil Bhirud, Dhiren R. Patel, Yann Busnel:
Towards cough sound analysis using the Internet of things and deep learning for pulmonary disease prediction. Trans. Emerg. Telecommun. Technol. 33(10) (2022) - Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru:
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. PLoS Comput. Biol. 18(2) (2022) - Dhruv Patel, Shrey Pandey, Abhishek Sharma:
Efficient Vector Store System for Python using Shared Memory. AIMLSystems 2022: 22:1-22:6 - Dhiraj Kumar Patel, Abhilash Mandloi, Varun Srivastava, Abhishek Tripathi:
Investigation of RS-Code DP-QPSK enabled FSO Communication Link under various Atmospheric Conditions. CSNDSP 2022: 223-228 - 2021
- Ajay Kumar, Kumar Abhishek, Amit Kumar Singh, Pranav Nerurkar, Madhav Chandane, Sunil Bhirud, Dhiren R. Patel, Yann Busnel:
Multilabel classification of remote sensed satellite imagery. Trans. Emerg. Telecommun. Technol. 32(7) (2021) - Anupam Choudhary, Sapna Jain, Abhishek Badholia, Anurag Sharma, Brijesh Patel:
A less computationally complex clustering algorithm based on dynamic K-means for increasing lifetime of wireless sensor networks. Int. J. Comput. Appl. Technol. 67(1): 1-16 (2021) - H. M. Sajjad Hossain, Marc T. Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal:
PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. 14(13): 3362-3375 (2021) - Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal:
Phoebe: A Learning-based Checkpoint Optimizer. Proc. VLDB Endow. 14(11): 2505-2518 (2021) - Arzad Alam Kherani, Gaurav Shukla, Shashvat Sanadhya, Neha Vasudev, Muneeb Ahmed, Ashish Singh Patel, Rashi Mehrotra, Brejesh Lall, Huzur Saran, Mythili Vutukuru, Abhishek Singh, Sushila Seshasayee, Vinodh R. Viswakumar, Kishore Loganathan:
Development of MEC system for indigenous 5G Test-Bed. COMSNETS 2021: 131-133 - Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes:
Production Experiences from Computation Reuse at Microsoft. EDBT 2021: 623-634 - Yiwen Zhu, Matteo Interlandi, Abhishek Roy, Krishnadhan Das, Hiren Patel, Malay Bag, Hitesh Sharma, Alekh Jindal:
Phoebe: A Learning-based Checkpoint Optimizer. CoRR abs/2110.02313 (2021) - Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu:
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR 2020 - Ajay Kumar, Kumar Abhishek, Kunjal Shah, Divy Patel, Yash Jain, Harsh Chheda, Pranav Nerurkar:
Malware Detection Using Machine Learning. KGSWC 2020: 61-71
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