Results 81 to 90 of about 36,558 (266)

Do Gender, Experience, Age, and Expectations Influence the Use of AI? A Binary Logistic Regression Analysis Applied to Entrepreneurship Students

Education Sciences
Based on data from 208 students involved in entrepreneurship studies at Tecnológico de Monterrey, Mexico, this paper examines whether prior experience with AI, expectations, gender, and age reinforce future AI use.
José Manuel Saiz-Alvarez, Lizette Huezo-Ponce   +1 more
doaj   +1 more source

Time‐Efficient Interleaved Spin Density‐Weighted and Inversion Recovery 23Na MRI of the Human Calf Muscle at 7 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Spin density‐weighted (SDW) and inversion recovery (IR) 23Na MRI provide different sodium contrasts with complementary information. Therefore, the aim was to develop a time‐efficient sequence scheme capable of providing both contrasts by acquiring SDW and IR 23Na MRI data within a single sequence without additional measurement time ...
Tobias Wilferth, Fiona Meyer, Jordan M. Höhn, Michael Uder, Armin M. Nagel   +4 more
wiley   +1 more source

Accuracy Evaluation of the Naïve Bayes Classifier for Sentiment Classification of Diploma Authenticity Issues using Orange

Sistemasi: Jurnal Sistem Informasi
The rapid growth of digital text data has increased the demand for effective methods to extract meaningful information, particularly for understanding public opinion.
Eunike Loise Laapen, Indrastanti Ratna Widiasari   +1 more
doaj   +1 more source

Oversampling Method for Imbalanced Classification.

Comput. Informatics, 2015
Classification problem for imbalanced datasets is pervasive in a lot of data mining domains. Imbalanced classification has been a hot topic in the academic community. From data level to algorithm level, a lot of solutions have been proposed to tackle the problems resulted from imbalanced datasets.
Zheng, Zhuoyuan, Cai, Yunpeng, Li, Ye
openaire   +1 more source

An Open‐Source, Reproducible MRI Data Acquisition and Reconstruction Workflow Using Pulseq: Multi‐Site and Cross‐Vendor Validation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Reproducibility in MRI is limited by variability in data acquisition, formatting, and reconstruction across sites and vendors. This work aimed to mitigate these challenges through an open‐source, vendor‐independent workflow originally developed for the 2023–24 ISMRM Repeat It with Me: Reproducibility Team Challenge.
Qingping Chen, Thomas H. M. Roos, Amaya Murguia, Yuhai Xie, Zheng Liu, Pengcheng Xu, Shohei Fujita, Sebastian Littin, Yogesh Rathi, Jiayu Zhu, Berkin Bilgic, Jon‐Fredrik Nielsen, Maxim Zaitsev   +12 more
wiley   +1 more source

An Empirical Evaluation of Oversampling-Ensemble Interactions Under Varying Imbalance Ratios for Tabular Data Classification

Artificial Intelligence and Machine Learning Review
Class imbalance represents one of the most persistent and practically consequential challenges in supervised machine learning, arising whenever the minority class—typically the class of primary interest—constitutes only a small fraction of the total ...
Wenlan Wei, Zhengchun Shang
doaj   +1 more source

On Orthogonal Wavelets with the Oversampling Property

Journal of Fourier Analysis and Applications, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Fundraising as Contracting: Why Nonprofits Accept In‐Kind Donations

Nonprofit Management and Leadership, EarlyView.
ABSTRACT In‐kind (nonmonetary) donations are a popular form of philanthropy that have received much less scholarly attention than monetary gifts. This study documents the prevalence of types of in‐kind giving and associated organizational practices, then explores links between the perceptions of nonprofit managers, organizational practices, and ...
Elizabeth Searing, Sarah Jacobson, Angela de Oliveira, Tianyi Li   +3 more
wiley   +1 more source

A transmission line fault identification method based on Deep Forest and SMOTE

Zhejiang dianli
Power transmission line faults exhibit multi-causal origins and imbalanced occurrence frequencies across fault types， resulting in significant class imbalance in transient waveform data.
JIANG Kaihua, ZHANG Yong, XIE Yingpu, LI Te, WANG Shaohua, LEI Mengfei, WANG Bowen   +6 more
doaj   +1 more source

Individual and Interactive Effects of Adverse Childhood Experiences and Household Income on Adolescent Depression and Anxiety Symptoms

Research in Nursing &Health, EarlyView.
ABSTRACT Cumulative Adverse Childhood Experiences (ACEs) and low household income are associated with adolescent depression and anxiety, but it is unclear whether distinct ACE subdomains – maltreatment (e.g., abuse) versus parent challenges (e.g., parental mental illness) – when experienced in distinct developmental periods exert a unique influence on ...
Chelsea R. Moore, Philip T. Veliz, Alison L. Miller, Natasha V. Pilkauskas, Todd I. Herrenkohl, Sarah A. Stoddard   +5 more
wiley   +1 more source