Kailas Hambarde

According to our database, Kailas Hambarde authored at least 4 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning.

Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, Andre Sequeira, João Neves, Hugo Proença

CoRR, 2024

2023

Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence.

Ozge Doguc, Gökhan Silahtaroglu, Zehra Nur Canbolat, Kailash Hambarde, Ahmet Alperen Yigitbas, Hasan Gokay, Mesut Ylmaz

CoRR, 2023

2018

Data Analytics Implemented over E-commerce Data to Evaluate Performance of Supervised Learning Approaches in Relation to Customer Behavior.

Kailash Hambarde, Gökhan Silahtaroglu, Santosh Khamitkar, Parag Bhalchandra, Shaikh Husen, Govind Kulkarni, Pritam Tamsekar, Pranita Samale

Proceedings of the Soft Computing for Problem Solving, 2018

2016

DSS for Prognostication of Academic Intervention by Applying DM Technique.

Pawan Wasnik, S. D. Khamitkar, Parag U. Bhalchandra, S. N. Lokhande, Preetam Tamsekar, Govind Kulkarni, Kailas Hambarde, Shaikh Husen

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2016