AIMC Topic: Heuristics

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Heuristic Attention Representation Learning for Self-Supervised Pretraining.

Sensors (Basel, Switzerland) Jul 10, 2022
Recently, self-supervised learning methods have been shown to be very powerful and efficient for yielding robust representation learning by maximizing the similarity across different augmented views in embedding vector space. However, the main challe...
Heuristics Semantics Supervised Machine Learning Neural Networks, Computer
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Something's Fishy About It: How Opinion Congeniality and Explainability Affect Motivated Attribution to Artificial Intelligence Versus Human Comment Moderators.

Cyberpsychology, behavior and social networking Jun 20, 2022
An online experiment ( = 384) examined when and how the identity of the comment moderator (artificial intelligence [AI] vs. human) on a news website affects the extent to which individuals (a) suspect political motives for comment removal and (b) bel...
Humans Affect Heuristics Motivation Attitude Artificial Intelligence
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Improving work detection by segmentation heuristics pre-training on factory operations video.

PloS one Jun 7, 2022
The measurement of work time for individual tasks by using video has made a significant contribution to a framework for productivity improvement such as value stream mapping (VSM). In the past, the work time has been often measured manually, but this...
Humans Heuristics Neural Networks, Computer Communications Media
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Multi-Swarm Algorithm for Extreme Learning Machine Optimization.

Sensors (Basel, Switzerland) May 31, 2022
There are many machine learning approaches available and commonly used today, however, the extreme learning machine is appraised as one of the fastest and, additionally, relatively efficient models. Its main benefit is that it is very fast, which mak...
Computer Simulation Heuristics Algorithms Machine Learning
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Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.

Computer methods and programs in biomedicine May 19, 2022
BACKGROUND: State-of-the-art automatic atrial fibrillation (AF) detection models trained on RR-interval (RRI) features generally produce high performance on standard benchmark electrocardiogram (ECG) AF datasets. These models, however, result in a si...
Deep Learning Electrocardiography Algorithms Humans Heuristics Atrial Fibrillation Electrocardiography, Ambulatory
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Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach.

Sensors (Basel, Switzerland) Mar 9, 2022
False alerts due to misconfigured or compromised intrusion detection systems (IDS) in industrial control system (ICS) networks can lead to severe economic and operational damage. However, research using deep learning to reduce false alerts often requ...
Heuristics Computer Security Machine Learning Bayes Theorem Artificial Intelligence Humans
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Heuristic-based channel selection with enhanced deep learning for heart disease prediction under WBAN.

Computer methods in biomechanics and biomedical engineering Feb 14, 2022
The main intention of this proposal is to design and develop a new heart disease prediction model via WBAN using three stages. The first stage is data aggregation, in which data is scheduled in Time Division Multiple Access manner based on priority l...
Heuristics Deep Learning Neural Networks, Computer Humans Heart Diseases Algorithms
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Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 28, 2022
The purpose of this study was to compare a heuristic feature identification algorithm with output from the Beta Process Auto Regressive Hidden Markov Model (BP-AR-HMM) utilizing minimally sampled (≤ 100 Hz) human locomotion data for identification of...
Walking Heuristics Gait Biomechanical Phenomena Humans Unsupervised Machine Learning Algorithms
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DMPP: Differentiable multi-pruner and predictor for neural network pruning.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2021
Neural network pruning can trim the over-parameterized neural networks effectively by removing a number of network parameters. However, the traditional rule-based approaches always depend on manual experience. Existing heuristic search methods in dis...
Dimethylphenylpiperazinium Iodide Neural Networks, Computer Heuristics
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A hybridization of distributed policy and heuristic augmentation for improving federated learning approach.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2021
Modifying the existing models of classifiers' operation is primarily aimed at increasing the effectiveness as well as minimizing the training time. An additional advantage is the ability to quickly implement a given solution to the real needs of the ...
Reproducibility of Results Machine Learning Image Processing, Computer-Assisted Policy Heuristics
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