AIMC Topic: Machine Learning

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Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery.

IEEE transactions on bio-medical engineering
This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have had parts of their articulators removed. Because of the removal of parts of the articulator, a patie...

What is consciousness, and could machines have it?

Science (New York, N.Y.)
The controversial question of whether machines may ever be conscious must be based on a careful consideration of how consciousness arises in the only physical system that undoubtedly possesses it: the human brain. We suggest that the word "consciousn...

Epigenomic annotation-based interpretation of genomic data: from enrichment analysis to machine learning.

Bioinformatics (Oxford, England)
MOTIVATION: One of the goals of functional genomics is to understand the regulatory implications of experimentally obtained genomic regions of interest (ROIs). Most sequencing technologies now generate ROIs distributed across the whole genome. The in...

Partitioned learning of deep Boltzmann machines for SNP data.

Bioinformatics (Oxford, England)
MOTIVATION: Learning the joint distributions of measurements, and in particular identification of an appropriate low-dimensional manifold, has been found to be a powerful ingredient of deep leaning approaches. Yet, such approaches have hardly been ap...

DOMINO: Using Machine Learning to Predict Genes Associated with Dominant Disorders.

American journal of human genetics
In contrast to recessive conditions with biallelic inheritance, identification of dominant (monoallelic) mutations for Mendelian disorders is more difficult, because of the abundance of benign heterozygous variants that act as massive background nois...

In silico prediction of multiple-category classification model for cytochrome P450 inhibitors and non-inhibitors using machine-learning method.

SAR and QSAR in environmental research
The cytochrome P450 (CYP) enzyme superfamily is involved in phase I metabolism which chemically modifies a variety of substrates via oxidative reactions to make them more water-soluble and easier to eliminate. Inhibition of these enzymes leads to und...

How good are publicly available web services that predict bioactivity profiles for drug repurposing?

SAR and QSAR in environmental research
Drug repurposing provides a non-laborious and less expensive way for finding new human medicines. Computational assessment of bioactivity profiles shed light on the hidden pharmacological potential of the launched drugs. Currently, several freely ava...