Machine learning components are essential for today's software systems, causing a need to
adapt traditional software engineering practices when develo** machine-learning-based …

Abstract Machine learning (ML) has already fundamentally changed several businesses.
More recently, it has also been profoundly impacting the computational science and …

Feedback on how students progress through completing subgoals can improve students'
learning and motivation in programming. Detecting subgoal completion is a challenging …

In long-lasting scientific workflow executions in HPC machines, computational scientists (the
users in this work) often need to fine-tune several workflow parameters. These tunings are …

O treinamento das Redes Neurais Convolucionais (CNN) requer o ajuste de
hiperparâmetros. As soluções existentes para auxiliar a escolha das melhores combinações …

Embodiments relate to a system, program product, and method for supporting elastic
execution of a machine learning (ML) workload using application based profiling. A joint …

A mechanism is provided in a data processing system comprising a processor and a
memory, the memory com prising instructions that are executed by the processor to …

Algoritmos de aprendizado de máquina pertencem a uma área em Inteligência Artificial que,
com base em análises sobre grandes conjuntos de dados,“aprendem” seu comportamento …

La perte d'autonomie causée par une amputation du membre supérieur peut être restaurée
partiellement ou presqu'entièrement par l'utilisation d'une prothèse myoélectrique adaptée à …

How to enable computational scientists and engineers to monitor and understand their
experiments when they are steering them on large-scale computers? This is the central …