Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection

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Demographic fairness or equity is a crucial aspect of machine learning models, particularly in critical domains such as healthcare, where errors can have severe consequences. A fair model avoids making distinctions between groups with different sensitive o ...

By 'social learning,' in this article we refer to mechanisms for opinion formation and decision making over graphs and the study of how agents' decisions evolve dynamically through interactions with neighbors and the environment. The study of social learni ...

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Despite the high number of investments for data-based models in the expansion of Industry 4.0, too little effort has been made to ensure the maintenance of those models. In a data-streaming environment, data-based models are subject to concept drifts. A co ...

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Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection

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Optimizing fairness and utility in healthcare machine learning models

Socially Intelligent Networks: A framework for decision making over graphs

Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation

Data-based model maintenance in the era of industry 4.0: A methodology

Predicting Superagers by Machine Learning Classification Based on the Functional Brain Connectome Using Resting-State Functional Magnetic Resonance Imaging

Robust Learning-Augmented Caching: An Experimental Study

Removing Structured Noise With Self-Supervised Blind-Spot Networks

Feed-forwards meet recurrent networks in vehicle trajectory prediction

Quantum Chemistry Meets Machine Learning

Deep Feature Factorization for Concept Discovery

Structured Prediction of 3D Human Pose with Deep Neural Networks

Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons