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Proof assistants offer a formalism that resembles human mathematical reasoning, representing theorems in higher-order logic and proofs as high-level tactics.

Ranked #1 on Automated Theorem Proving on CoqGym

It is also applicable in many situations outside finance, where high quality first-order derivatives wrt training inputs are available.

This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening.

3D MEDICAL IMAGING SEGMENTATION AUTOMATIC MACHINE LEARNING MODEL SELECTION BREAST CANCER DETECTION BREAST MASS SEGMENTATION IN WHOLE MAMMOGRAMS BREAST TUMOUR CLASSIFICATION INTERPRETABLE MACHINE LEARNING MATHEMATICAL PROOFS MEDICAL DIAGNOSIS MEDICAL IMAGE RETRIEVAL PROBABILISTIC DEEP LEARNING

Partial Least Squares (PLS) methods have been heavily exploited to analyse the association between two blocs of data.

This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks.

Mathematical proofs are both paradigms of certainty and some of the most explicitly-justified arguments that we have in the cultural record.

Machine learning models have been successfully used in many scientific and engineering fields.