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ORCIDKailas Hambarde
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2020 – today
- 2025
[j1]Hamed Gholipour
, Farid Bozorgnia, Kailash Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, Andre Sequeira, João C. Neves, Hugo Proença, Moharram Challenger:
A Laplacian-based quantum graph neural networks for quantum semi-supervised learning. Quantum Inf. Process. 24(4): 106 (2025)- [i3]Kailash Hambarde, Pranita Samale, Hugo Proença:
Human Re-ID Meets LVLMs: What can we expect? CoRR abs/2501.18698 (2025) - 2024
- [i2]Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, Andre Sequeira, João Neves, Hugo Proença:
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning. CoRR abs/2408.05498 (2024) - 2023
- [i1]Ozge Doguc, Gökhan Silahtaroglu, Zehra Nur Canbolat, Kailash Hambarde, Ahmet Alperen Yigitbas, Hasan Gokay, Mesut Ylmaz:
Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence. CoRR abs/2302.10180 (2023)
2010 – 2019
- 2018
- [c2]Kailash Hambarde, Gökhan Silahtaroglu, Santosh Khamitkar, Parag Bhalchandra, Shaikh Husen, Govind Kulkarni, Pritam Tamsekar, Pranita Samale:
Data Analytics Implemented over E-commerce Data to Evaluate Performance of Supervised Learning Approaches in Relation to Customer Behavior. SocProS (1) 2018: 285-293 - 2016
- [c1]Pawan Wasnik, S. D. Khamitkar, Parag U. Bhalchandra, S. N. Lokhande, Preetam Tamsekar, Govind Kulkarni, Kailas Hambarde, Shaikh Husen:
DSS for Prognostication of Academic Intervention by Applying DM Technique. RTIP2R 2016: 194-201
Coauthor Index
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