Articles

Tabular diffusion counterfactual explanations

in AI in Finance

• Wei Zhang
• Brian Barr
• John Paisley

Comprehensive evaluation framework for synthetic tabular data in health: fidelity, utility and privacy analysis of generative models with and without privacy guarantees

in Health Informatics

• Mikel Hernandez
• Pablo A. Osorio-Marulanda
• Mikel Catalina
• Lorea Loinaz
• Gorka Epelde
• Naiara Aginako

Data augmentation via diffusion model to enhance AI fairness

in Machine Learning and Artificial Intelligence

• Christina Hastings Blow
• Lijun Qian
• Camille Gibson
• Pamela Obiomon
• Xishuang Dong

Deep learning to predict future cognitive decline: a multimodal approach using brain MRI and clinical data

in Clinical Neuroimaging

• Tamoghna Chattopadhyay
• Pavithra Senthilkumar
• Rahul H. Ankarath
• Christopher Patterson
• Emma J. Gleave
• Sophia I. Thomopoulos
• Heng Huang
• Li Shen
• Lei You
• Degui Zhi

CTAB-GAN+: enhancing tabular data synthesis

in Data Science

• Zilong Zhao
• Aditya Kunar
• Robert Birke
• Hiek Van der Scheer
• Lydia Y. Chen

An Efficient Analytical Technique for Time-Fractional Parabolic Partial Differential Equations

in Statistical and Computational Physics

• Muhammad Mustahsan
• H. M. Younas
• S. Iqbal
• Sushila Rathore
• Kottakkaran Sooppy Nisar
• Jagdev Singh

Transfer learning-based hybrid VGG16-machine learning approach for heart disease detection with explainable artificial intelligence

in Machine Learning and Artificial Intelligence

• Eshetie Gizachew Addisu
• Tahayu Gizachew Yirga
• Hailu Gizachew Yirga
• Alemu Demeke Yehuala

Development of a deep learning model for predicting recurrence of hepatocellular carcinoma after liver transplantation

in Precision Medicine

• Seung Hyoung Ko
• Jie Cao
• Yong-kang Yang
• Zhi-feng Xi
• Hyun Wook Han
• Meng Sha
• Qiang Xia

CatBoost-enhanced convolutional neural network framework with explainable artificial intelligence for smart-grid stability forecasting

in Smart Grid Control

• Stephanie Ness

odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments

• Julia Sprenger
• Lyuba Zehl
• Jana Pick
• Michael Sonntag
• Jan Grewe
• Thomas Wachtler
• Sonja Grün
• Michael Denker

Databases for STEM success: lessons learned

in STEM Education

• Suzanne W. Dietrich
• Anna M. Cunningham
• Susannah K. Sandrin

Multi-genome alignment for quality control and contamination screening of next-generation sequencing data

in Computational Genomics

• James Hadfield
• Matthew David Eldridge

From mother to infant: predicting infant temperament using maternal mental health measures and tabular machine learning models

in Children and Health

• Rawan AlSaad
• Majid Alabdulla
• Aliya Tabassum
• Javaid Sheikh
• Rajat Thomas

Microscopic characterization of residual particles from filtered drinking water and determination of statistical indicators regarding identified deposits

in Environmental Informatics and Remote Sensing

• Horea-George Crișan
• Oana-Adriana Crișan
• Corina Bîrleanu
• Marius Pustan
• Florina Șerdean

Significance of multiple solutions on the dynamics of ethylene glycol conveying gold and copper nanoparticles on a shrinking surface

in Interdisciplinary Physics

• Muhammad Naveed Khan
• Sawsan Alhowaity
• Zhentao Wang
• Aisha M. Alqahtani
• Elsayed Tag-eldin
• Mansour F. Yassen

Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition

in Data Visualization

• Jover Lee
• James Hadfield
• Allison Black
• Thomas R. Sibley
• Richard A. Neher
• Trevor Bedford
• John Huddleston