Results 21 to 30 of about 254,753 (253)
Understanding Emojis for Sentiment Analysis
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Many people use emojis to express themselves in a more clear and efficient way and the usage of such expressions has grown significantly. In recent years, there have been many research papers that analyze the meanings of individual emojis or show the ...
Byungkyu Yoo, Julia Taylor Rayz
doaj +1 more source
Sensors, 2019 Objective: The aim of this study was to investigate the effects of different preprocessing parameters on the amplitude of median nerve somatosensory evoked potentials (SEPs).
Muhammad Samran Navid +4 more
doaj +1 more source
computational complexityAbstractIt is a classical result that the inner product function cannot be computed by an $${\rm AC}^0$$ AC 0 circuit.
Filmus, Yuval +3 more
openaire +3 more sources
Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients
Известия высших учебных заведений России: Радиоэлектроника, 2022 Introduction. Patients with diabetes are exposed to various cardiovascular risk factors, which lead to an increased risk of cardiac complications. Therefore, the development of a diagnostic system for diabetes and cardiovascular disease (CVD) is a ...
A. Mayya, H. Solieman
doaj +1 more source
Machine Learning and Knowledge ExtractionIn this review, we compiled convolutional neural network (CNN) methods which have the potential to automate the manual, costly and error-prone processing of medical images.
Foziya Ahmed Mohammed +4 more
doaj +1 more source
Remote SensingImaging has been an important strategy for exploring space weather. The Solar wind Magnetosphere Ionosphere Link Explorer (SMILE) is a joint Chinese Academy of Sciences (CAS) and European Space Agency (ESA) mission, aiming at studying the interaction ...
Jiaqi Wang +4 more
doaj +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2011 We present a first theoretical analysis of the power of polynomial-time preprocessing for important combinatorial problems from various areas in AI. We consider problems from Constraint Satisfaction, Global Constraints, Satisfiability, Nonmonotonic and Bayesian Reasoning. We show that, subject to a complexity theoretic assumption, none
openaire +2 more sources
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications
IEEE Transactions on Neural Systems and Rehabilitation EngineeringThe last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if trained
Federico Del Pup +4 more
doaj +1 more source
Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source