AIMC Topic: Machine Learning

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Machine learning for prediction of euploidy in human embryos: in search of the best-performing model and predictive features.

Fertility and sterility Jan 19, 2022
OBJECTIVE: To assess the best-performing machine learning (ML) model and features to predict euploidy in human embryos.
Logistic Models Bayes Theorem Humans Retrospective Studies Cohort Studies Machine Learning
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Quantitative structure retention relationship (QSRR) modelling for Analytes' retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Jan 19, 2022
In metabolomics, retention prediction methods have been developed based on the structural and physicochemical characteristics of analytes. Such methods employ regression models, harnessing machine learning algorithms mapping experimentally derived re...
Algorithms Organic Chemicals Mass Spectrometry Metabolomics Machine Learning Databases, Chemical Bayes Theorem Chromatography, Liquid Linear Models Molecular Structure
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Group Contribution and Machine Learning Approaches to Predict Abraham Solute Parameters, Solvation Free Energy, and Solvation Enthalpy.

Journal of chemical information and modeling Jan 19, 2022
We present a group contribution method (SoluteGC) and a machine learning model (SoluteML) to predict the Abraham solute parameters, as well as a machine learning model (DirectML) to predict solvation free energy and enthalpy at 298 K. The proposed gr...
Solutions Thermodynamics Machine Learning Solvents Entropy Neural Networks, Computer
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Comparison of DEM Super-Resolution Methods Based on Interpolation and Neural Networks.

Sensors (Basel, Switzerland) Jan 19, 2022
High-resolution digital elevation models (DEMs) play a critical role in geospatial databases, which can be applied to many terrain-related studies such as facility siting, hydrological analysis, and urban design. However, due to the limitation of pre...
Image Processing, Computer-Assisted Machine Learning Databases, Factual Neural Networks, Computer
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Learning robust perceptive locomotion for quadrupedal robots in the wild.

Science robotics Jan 19, 2022
Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into underexplored areas. Exteroceptive perception is crucial for fast and energy-efficient locomotion: Perceiving th...
Humans Neural Networks, Computer Robotics Walking Gait Machine Learning Computer Simulation Locomotion Models, Biological Biomimetics Environment Seasons Proprioception Biomimetic Materials
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Video Moment Retrieval With Cross-Modal Neural Architecture Search.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 19, 2022
The task of video moment retrieval (VMR) is to retrieve the specific video moment from an untrimmed video, according to a textual query. It is a challenging task that requires effective modeling of complex cross-modal matching relationship. Recent ef...
Machine Learning
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Introduction to Artificial Intelligence and Machine Learning in Nephrology.

Clinical journal of the American Society of Nephrology : CJASN Jan 18, 2022
Machine Learning Humans Nephrology Algorithms Artificial Intelligence
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Predicting individual traits from unperformed tasks.

NeuroImage Jan 18, 2022
Relating individual differences in cognitive traits to brain functional organization is a long-lasting challenge for the neuroscience community. Individual intelligence scores were previously predicted from whole-brain connectivity patterns, extracte...
Task Performance and Analysis Connectome Brain Adult Magnetic Resonance Imaging Individuality Humans Machine Learning
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Prediction of Collision Cross Section Values: Application to Non-Intentionally Added Substance Identification in Food Contact Materials.

Journal of agricultural and food chemistry Jan 18, 2022
The synthetic chemicals in food contact materials can migrate into food and endanger human health. In this study, the traveling wave collision cross section in nitrogen values of more than 400 chemicals in food contact materials were experimentally d...
Machine Learning Ion Mobility Spectrometry Humans
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Novel Big Data-Driven Machine Learning Models for Drug Discovery Application.

Molecules (Basel, Switzerland) Jan 18, 2022
Most contemporary drug discovery projects start with a 'hit discovery' phase where small chemicals are identified that have the capacity to interact, in a chemical sense, with a protein target involved in a given disease. To assist and accelerate thi...
Big Data Protein Binding Computer Simulation Drug Discovery Humans Ligands Receptor, Adenosine A2A Protein Conformation Receptors, Opioid, kappa Machine Learning Algorithms
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