Articles

Shapley ratings in brain networks

• Rolf Kötter
• Andrew T Reid
• Antje Krumnack
• Egon Wanke
• Olaf Sporns

Visualization of explainable artificial intelligence for GeoAI

in Computer Graphics and Visualization

• Cédric Roussel

Interaction Analysis Based on Shapley Values and Extreme Gradient Boosting: A Realistic Simulation and Application to a Large Epidemiological Prospective Study

in Nutritional Epidemiology

• Nicola Orsini
• Alex Moore
• Alicja Wolk

Shapley Idioms: Analysing BERT Sentence Embeddings for General Idiom Token Identification

in Language and Computation

• Vasudevan Nedumpozhimana
• Filip Klubička
• John D. Kelleher

Interpreting the decisions of CNNs via influence functions

• Aisha Aamir
• Minija Tamosiunaite
• Florentin Wörgötter

Interpreting vision and language generative models with semantic visual priors

in Natural Language Processing

• Michele Cafagna
• Lina M. Rojas-Barahona
• Kees van Deemter
• Albert Gatt

Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma

in Human and Medical Genomics

• Yuwei Zhang
• Yichen Yang
• Yue Ma
• Ying Liu
• Zhaoxiang Ye

Utilizing machine learning for early screening of thyroid nodules: a dual-center cross-sectional study in China

in Thyroid Endocrinology

• Shuwei Weng
• Chen Ding
• Die Hu
• Jin Chen
• Yang Liu
• Wenwu Liu
• Yang Chen
• Xin Guo
• Chenghui Cao
• Yuting Yi

Identifying subtypes of longitudinal motor symptom severity trajectories in early Parkinson’s disease patients

in Movement Disorders

• Xiaozhou Xu
• Shushan Zhang
• Chuanying Xu
• Wei Zhang
• Hui Zhao
• Yumeng Liu
• Shilei Zhai
• Jie Zu
• Zhining Li
• Lishun Xiao

Analyzing handwriting legibility through hand kinematics

in Machine Learning and Artificial Intelligence

• Vahan Babushkin
• Haneen Alsuradi
• Muhamed Osman Al-Khalil
• Mohamad Eid

A cross-sectional study of explainable machine learning in Alzheimer’s disease: diagnostic classification using MR radiomic features

in Alzheimer's Disease and Related Dementias

• Stephanos Leandrou
• Demetris Lamnisos
• Haralabos Bougias
• Nikolaos Stogiannos
• Eleni Georgiadou
• K. G. Achilleos
• Constantinos S. Pattichis
• Alzheimer’s Disease Neuroimaging Initiative

Explainable machine learning radiomics model for Primary Progressive Aphasia classification

• Benedetta Tafuri
• Roberto De Blasi
• Salvatore Nigro
• Giancarlo Logroscino

The colours of the ocean: using multispectral satellite imagery to estimate sea surface temperature and salinity on global coastal areas, the Gulf of Mexico and the UK

in Environmental Informatics and Remote Sensing

• Solomon White
• Tiago Silva
• Laurent O. Amoudry
• Evangelos Spyrakos
• Adrien Martin
• Encarni Medina-Lopez

Predicting South Korean adolescents vulnerable to obesity after the COVID-19 pandemic using categorical boosting and shapley additive explanation values: A population-based cross-sectional survey

in Children and Health

• Haewon Byeon

Credit Risk Modeling Using Transfer Learning and Domain Adaptation

in AI in Finance

• Hendra Suryanto
• Ashesh Mahidadia
• Michael Bain
• Charles Guan
• Ada Guan

Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data

in Computational Genomics

• Loveleen Gaur
• Mohan Bhandari
• Tanvi Razdan
• Saurav Mallik
• Zhongming Zhao