AIMC Topic: Machine Learning

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Learning Attentional Communication with a Common Network for Multiagent Reinforcement Learning.

Computational intelligence and neuroscience
For multiagent communication and cooperation tasks in partially observable environments, most of the existing works only use the information contained in hidden layers of a network at the current moment, limiting the source of information. In this pa...

Prediction of stock price movement using an improved NSGA-II-RF algorithm with a three-stage feature engineering process.

PloS one
Prediction of stock price has been a hot topic in artificial intelligence field. Computational intelligent methods such as machine learning or deep learning are explored in the prediction system in recent years. However, making accurate predictions o...

A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room.

Ergonomics
In safety-critical automatic systems, safety can be compromised if operators lack engagement. Effective detection of undesirable engagement states can inform the design of interventions for enhancing engagement. However, the existing engagement measu...

Implementing comprehensive machine learning models of multispecies toxicity assessment to improve regulation of organic compounds.

Journal of hazardous materials
Machine learning has made significant progress in assessing the risk associated with hazardous chemicals. However, most models were constructed by randomly selecting one algorithm and one toxicity endpoint towards single species, which may cause bias...

Development of machine learning models to predict lymph node metastases in major salivary gland cancers.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
INTRODUCTION: Indications for elective treatment of the neck in patients with major salivary gland cancers are still debated. Our purpose was to develop a machine learning (ML) model able to generate a predictive algorithm to identify lymph node meta...

RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing.

Journal of chemical information and modeling
Reaction diagram parsing is the task of extracting reaction schemes from a diagram in the chemistry literature. The reaction diagrams can be arbitrarily complex; thus, robustly parsing them into structured data is an open challenge. In this paper, we...

Robust Virtual Sensing of the Vehicle Sideslip Angle through the Cross-Combination of Multiple Filters Using a Decision Tree Algorithm.

Sensors (Basel, Switzerland)
This paper presents a state-of-the-art estimation technique by cross-combining a number n of filters for high-precision, reliable and robust vehicle sideslip angle state estimation, over a full range of vehicle operations irrespective of the driving ...

Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods.

Sensors (Basel, Switzerland)
This article classifies the dynamic response of rolling bearings in terms of radial internal clearance values. The value of the radial internal clearance in rolling-element bearings cannot be described in a deterministic manner, which shows the chall...

Development of a model for the prediction of biological age.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Rates of aging vary markedly among individuals, and biological age serves as a more reliable predictor of current health status than does chronological age. As such, the ability to predict biological age can support appropri...

How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare.

Artificial intelligence in medicine
BACKGROUND: Medical use cases for machine learning (ML) are growing exponentially. The first hospitals are already using ML systems as decision support systems in their daily routine. At the same time, most ML systems are still opaque and it is not c...