Javier Mancilla

According to our database, Javier Mancilla authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

Q2SAR: A Quantum Multiple Kernel Learning Approach for Drug Discovery.

Alejandro Giraldo, Daniel Ruiz, Mariano Caruso, Javier Mancilla, Guido Bellomo

CoRR, June, 2025

A Laplacian-based quantum graph neural networks for quantum semi-supervised learning.

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

Quantum Inf. Process., April, 2025

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

Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning.

Javier Mancilla, André Sequeira, Tomas Tagliani, Francisco Llaneza, Claudio Beiza

CoRR, 2024

2022

A Preprocessing Perspective for Quantum Machine Learning Classification Advantage in Finance Using NISQ Algorithms.

Javier Mancilla, Christophe Pere

Entropy, November, 2022