Results 61 to 70 of about 424,586 (329)
TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data
Sensors, 2021 With the rise in the employment of deep learning methods in safety-critical scenarios, interpretability is more essential than ever before. Although many different directions regarding interpretability have been explored for visual modalities, time ...
Shoaib Ahmed Siddiqui +3 more
doaj +1 more source
Southern Medical Journal, 1921 Includes bibliographies. ; Mode of access: Internet.
Holmes, George Winslow, 1876- +1 more
openaire +1 more source
FEBS Letters, EarlyView.Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma +8 more
wiley +1 more source
Patterns, 2021 Summary: Free-text clinical notes in electronic health records are more difficult for data mining while the structured diagnostic codes can be missing or erroneous. To improve the quality of diagnostic codes, this work extracts diagnostic codes from free-
Xianghao Zhan +3 more
doaj
Early Prediction of Alzheimer’s Disease Using Interpretable Machine Learning Algorithms [PDF]
مجله انفورماتیک سلامت و زیست پزشکی, 2023 Introduction: Alzheimer’s disease is one of the most common neurodegenerative diseases in adults. The progressive nature of Alzheimer’s disease causes widespread damage to the brain, and early diagnosis can manage the disease and slow down its ...
Amir Sorayaie Azar +4 more
doaj
Antioxidants, 2021 A chemically explainable machine learning model was constructed with a small dataset to quantitatively predict the singlet-oxygen-scavenging ability. In this model, ensemble learning based on decision trees resulted in high accuracy.
Taiki Fujimoto, Hiroaki Gotoh
doaj +1 more source
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
XAI for Churn Prediction in B2B Models: A Use Case in an Enterprise Software Company
Mathematics, 2022 The literature related to Artificial Intelligence (AI) models and customer churn prediction is extensive and rich in Business to Customer (B2C) environments; however, research in Business to Business (B2B) environments is not sufficiently addressed ...
Gabriel Marín Díaz +2 more
doaj +1 more source
Social context prevents heat hormetic effects against mutagens during fish development
FEBS Letters, EarlyView.This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere +5 more
wiley +1 more source
Bi-interpretation in weak set theories [PDF]
arXiv, 2020 In contrast to the robust mutual interpretability phenomenon in set theory, Ali Enayat proved that bi-interpretation is absent: distinct theories extending ZF are never bi-interpretable and models of ZF are bi-interpretable only when they are isomorphic.
arxiv