Many professionals rely on Google News to stay informed and gain a competitive edge in their fields. For example, business leaders often track industry trends or competitor moves, while SEO experts ...

INGLEWOOD, Calif. – Once upon a time – in high school, to be exact – current Rams defensive end Kobie Turner played tight end. He put that catching experience to good use last week with his first ...

Background: Attention Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder, but its diagnosis remains constrained. This study aimed to identify potential candidate ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Abstract: The quality of features plays an important role in the performance of recommender systems. Recognizing this, feature selection has emerged as a crucial technique in refining recommender ...

Abstract: Feature selection (FS) is a critical step in machine learning (ML) applications, particularly in the maritime transportation domain, where large-scale data from sensors, weather conditions, ...

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A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.