AIMC Topic: Pattern Recognition, Automated

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Learning on knowledge graph dynamics provides an early warning of impactful research.

Nature biotechnology May 17, 2021
The scientific ecosystem relies on citation-based metrics that provide only imperfect, inconsistent and easily manipulated measures of research quality. Here we describe DELPHI (Dynamic Early-warning by Learning to Predict High Impact), a framework t...
Machine Learning Biomedical Research Humans Pattern Recognition, Automated Biotechnology Journal Impact Factor Time Factors Bibliometrics
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Multitask feature learning approach for knowledge graph enhanced recommendations with RippleNet.

PloS one May 14, 2021
Introducing a knowledge graph into a recommender system as auxiliary information can effectively solve the sparse and cold start problems existing in traditional recommender systems. In recent years, many researchers have performed related work. A re...
Machine Learning Humans Review Literature as Topic Neural Networks, Computer Pattern Recognition, Automated
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A comprehensive swarming intelligent method for optimizing deep learning-based object detection by unmanned ground vehicles.

PloS one May 13, 2021
Unmanned ground vehicles (UGVs) are an important research application of artificial intelligence. In particular, the deep learning-based object detection method is widely used in UGV-based environmental perception. Good experimental results are achie...
Pattern Recognition, Automated Deep Learning Robotics Neural Networks, Computer Artificial Intelligence
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Feature Selection on Elite Hybrid Binary Cuckoo Search in Binary Label Classification.

Computational and mathematical methods in medicine May 11, 2021
For the low optimization accuracy of the cuckoo search algorithm, a new search algorithm, the Elite Hybrid Binary Cuckoo Search (EHBCS) algorithm, is improved by feature weighting and elite strategy. The EHBCS algorithm has been designed for feature ...
Pattern Recognition, Automated Classification Computational Biology Support Vector Machine Risk Factors Databases, Factual Humans Animals Female Algorithms Male Birds
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Mixed-precision weights network for field-programmable gate array.

PloS one May 10, 2021
In this study, we introduced a mixed-precision weights network (MPWN), which is a quantization neural network that jointly utilizes three different weight spaces: binary {-1,1}, ternary {-1,0,1}, and 32-bit floating-point. We further developed the MP...
Neural Networks, Computer Algorithms Time Factors Software Bayes Theorem Pattern Recognition, Automated Signal Processing, Computer-Assisted
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Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa).

PloS one Apr 21, 2021
The Dead Sea Scrolls are tangible evidence of the Bible's ancient scribal culture. This study takes an innovative approach to palaeography-the study of ancient handwriting-as a new entry point to access this scribal culture. One of the problems of pa...
Judaism Artificial Intelligence History, Ancient Israel Christianity Pattern Recognition, Automated Humans Image Interpretation, Computer-Assisted Handwriting
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Block-cyclic stochastic coordinate descent for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Apr 19, 2021
We present a stochastic first-order optimization algorithm, named block-cyclic stochastic coordinate descent (BCSC), that adds a cyclic constraint to stochastic block-coordinate descent in the selection of both data and parameters. It uses different ...
Stochastic Processes Pattern Recognition, Automated Classification Image Processing, Computer-Assisted Datasets as Topic Neural Networks, Computer
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Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.

British journal of cancer Apr 19, 2021
BACKGROUND: This paper reviews recent literature employing Artificial Intelligence/Machine Learning (AI/ML) methods for diagnostic evaluation of head and neck cancers (HNC) using automated image analysis.
Humans Image Processing, Computer-Assisted Head and Neck Neoplasms Medical Oncology Artificial Intelligence Machine Learning Pattern Recognition, Automated
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Learning dual-margin model for visual tracking.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2021
Existing trackers usually exploit robust features or online updating mechanisms to deal with target variations which is a key challenge in visual tracking. However, the features being robust to variations remain little spatial information, and existi...
Image Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning
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Deep learning to segment pelvic bones: large-scale CT datasets and baseline models.

International journal of computer assisted radiology and surgery Apr 16, 2021
PURPOSE: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segmentation are either hand-crafted or semi-automatic and achieve limited ...
Reproducibility of Results Pattern Recognition, Automated Deep Learning Algorithms Pelvic Bones Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Pelvis
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