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09/27/2022
Hamiltonian Adaptive Importance Sampling
Importance sampling (IS) is a powerful Monte Carlo (MC) methodology for ...
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01/01/2022
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review
Lung cancer has been one of the most prevalent disease in recent years. ...
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06/11/2021
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks
Metric learning algorithms aim to learn a distance function that brings ...
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04/21/2021
Accurate and fast matrix factorization for low-rank learning
In this paper we tackle two important challenges related to the accurate...
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02/26/2021
Neural Generalization of Multiple Kernel Learning
Multiple Kernel Learning is a conventional way to learn the kernel funct...
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04/26/2019
Robust Metric Learning based on the Rescaled Hinge Loss
Distance/Similarity learning is a fundamental problem in machine learnin...
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10/25/2018
RELF: Robust Regression Extended with Ensemble Loss Function
Ensemble techniques are powerful approaches that combine several weak le...
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02/18/2018
TRLF: An Effective Semi-fragile Watermarking Method for Tamper Detection and Recovery based on LWT and FNN
This paper proposes a novel method for tamper detection and recovery usi...
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11/14/2017
