AIMC Topic: Bayes Theorem

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Application of statistical machine learning in biomarker selection.

Scientific reports Oct 26, 2023
In the recent JAVELIN Bladder 100 phase 3 trial, avelumab plus best supportive care significantly prolonged overall survival relative to best supportive care alone as first-line maintenance therapy following first-line platinum-based chemotherapy in ...
Prognosis Bayes Theorem Clinical Trials, Phase III as Topic Biomarkers Computer Simulation Humans Machine Learning
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Artificial intelligence extracts key insights from legal documents to predict intimate partner femicide.

Scientific reports Oct 24, 2023
Legal documents serve as valuable repositories of information pertaining to crimes, encompassing not only legal aspects but also relevant details about criminal behaviors. To date and the best of our knowledge, no studies in the field examine legal d...
Artificial Intelligence Homicide Bayes Theorem Violence
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A decoupled Bayesian method for snake robot control in unstructured environment.

Bioinspiration & biomimetics Oct 24, 2023
This paper presents a method which avoids the common practice of using a complex coupled snake robot model and performing kinematic analysis for control in cluttered environments. Instead, we introduce a completely decoupled dynamical Bayesian formul...
Biomechanical Phenomena Robotics Bayes Theorem
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Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.

BMC medical imaging Oct 19, 2023
BACKGROUND: The deterministic deep learning models have achieved state-of-the-art performance in various medical image analysis tasks, including nuclei segmentation from histopathology images. The deterministic models focus on improving the model pre...
Cell Nucleus Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Bayes Theorem Humans
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Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.

Surgical endoscopy Oct 14, 2023
BACKGROUND: With Surgomics, we aim for personalized prediction of the patient's surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract surgomic features as surgical process characteristics. As high-quality annotatio...
Machine Learning Bayes Theorem Prospective Studies Esophagectomy Robotics Humans Minimally Invasive Surgical Procedures
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IoT-Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next-Generation Techniques.

Computational intelligence and neuroscience Oct 10, 2023
Computing intelligence is built on several learning and optimization techniques. Incorporating cutting-edge learning techniques to balance the interaction between exploitation and exploration is therefore an inspiring field, especially when it is com...
Models, Statistical Artificial Intelligence Bayes Theorem Neural Networks, Computer Algorithms
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Bayesian learning from multi-way EEG feedback for robot navigation and target identification.

Scientific reports Oct 7, 2023
Many brain-computer interfaces require a high mental workload. Recent research has shown that this could be greatly alleviated through machine learning, inferring user intentions via reactive brain responses. These signals are generated spontaneously...
Robotics Bayes Theorem Brain Neurofeedback Electroencephalography Brain-Computer Interfaces
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Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.

Journal of digital imaging Oct 3, 2023
Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or early-r...
Humans Neural Networks, Computer Diagnostic Imaging Bayes Theorem Reproducibility of Results Deep Learning
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Quantification of golgi dispersal and classification using machine learning models.

Micron (Oxford, England : 1993) Oct 1, 2023
The Golgi body is a critical organelle in eukaryotic cells responsible for processing and modifying proteins and lipids. Under certain conditions, such as stress, disease, or ageing, the Golgi structure alters. Therefore, understanding the mechanisms...
Aging Bayes Theorem Random Forest HeLa Cells Humans Machine Learning
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A quality detection method of corn based on spectral technology and deep learning model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 27, 2023
Corn is an important food crop in the world. With economic development and population growth, the nutritional quality of corn is of great significance to high-quality breeding, scientific cultivation and fine management. Aiming at the problems of cum...
Support Vector Machine Algorithms Deep Learning Zea mays Seeds Principal Component Analysis Technology Bayes Theorem
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