AIMC Topic: Benchmarking

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Identity-Preserved Human Posture Detection in Infrared Thermal Images: A Benchmark.

Sensors (Basel, Switzerland) Dec 22, 2022
Human pose estimation has a variety of real-life applications, including human action recognition, AI-powered personal trainers, robotics, motion capture and augmented reality, gaming, and video surveillance. However, most current human pose estimati...
Posture Robotics Algorithms Benchmarking Motion Capture Humans
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Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals.

Journal of biomedical informatics Dec 17, 2022
Publicly accessible benchmarks that allow for assessing and comparing model performances are important drivers of progress in artificial intelligence (AI). While recent advances in AI capabilities hold the potential to transform medical practice by a...
Humans Artificial Intelligence Benchmarking Natural Language Processing
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GC-MLP: Graph Convolution MLP for Point Cloud Analysis.

Sensors (Basel, Switzerland) Dec 5, 2022
With the objective of addressing the problem of the fixed convolutional kernel of a standard convolution neural network and the isotropy of features making 3D point cloud data ineffective in feature learning, this paper proposes a point cloud process...
Algorithms Learning Benchmarking Cloud Computing Neural Networks, Computer
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N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning.

Scientific data Dec 2, 2022
Few-shot learning (learning with a few samples) is one of the most important cognitive abilities of the human brain. However, the current artificial intelligence systems meet difficulties in achieving this ability. Similar challenges also exist for b...
Neural Networks, Computer Artificial Intelligence Humans Cluster Analysis Benchmarking Algorithms Learning
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Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark.

Journal of biomedical informatics Nov 28, 2022
Big data and (deep) machine learning have been ambitious tools in digital medicine, but these tools focus mainly on association. Intervention in medicine is about the causal effects. The average treatment effect has long been studied as a measure of ...
Machine Learning Causality Benchmarking Randomized Controlled Trials as Topic Humans
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Forecasting medical state transition using machine learning methods.

Scientific reports Nov 28, 2022
Early circulatory failure detection is an effective way to reduce medical fatigue and improve state pre-warning ability. Instead of using 0-1 original state, a transformed state is proposed in this research, which reflects how the state is transforme...
Machine Learning Benchmarking Fatigue Records Humans
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Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes.

PloS one Nov 28, 2022
Speech with high sound quality and little noise is central to many of our communication tools, including calls, video conferencing and hearing aids. While human ratings provide the best measure of sound quality, they are costly and time-intensive to ...
Benchmarking Deep Learning Humans Sound Acoustics Speech
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DINI: data imputation using neural inversion for edge applications.

Scientific reports Nov 23, 2022
The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely, latency, bandwidth, energy efficiency, privacy, and security, deploying artificial intellige...
Privacy Chromosome Inversion Artificial Intelligence Humans Industry Benchmarking
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Guidelines and evaluation of clinical explainable AI in medical image analysis.

Medical image analysis Nov 17, 2022
Explainable artificial intelligence (XAI) is essential for enabling clinical users to get informed decision support from AI and comply with evidence-based medical practice. Applying XAI in clinical settings requires proper evaluation criteria to ensu...
Benchmarking Humans Clinical Relevance Artificial Intelligence Evidence Gaps
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Multimodal medical image fusion algorithm based on pulse coupled neural networks and nonsubsampled contourlet transform.

Medical & biological engineering & computing Nov 7, 2022
Combining two medical images from different modalities is more helpful for using the resulting image in the healthcare field. Medical image fusion means combining two or more images coming from multiple sensors. This technology obtains an output imag...
Benchmarking Signal-To-Noise Ratio Entropy Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Humans
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