Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI

The long road to fairer algorithms

(2020) Matt J. Kusner et al.   NATURE

Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters

(2020) Federico Cabitza et al.   Annals of Translational Medicine

Explainable decision forest: Transforming a decision forest into an interpretable tree

(2020) Omer Sagi et al.   Information Fusion

Explainability in deep reinforcement learning

(2020) Alexandre Heuillet et al.   KNOWLEDGE-BASED SYSTEMS

The seven tools of causal inference, with reflections on machine learning

(2019) Judea Pearl   COMMUNICATIONS OF THE ACM

Biomedical image augmentation using Augmentor

(2019) Marcus D Bloice et al.   BIOINFORMATICS

Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data

(2019) Andreas Holzinger et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Feasibility study of a multi-criteria decision-making based hierarchical model for multi-modality feature and multi-classifier fusion: Applications in medical prognosis prediction

(2019) Qiang He et al.   Information Fusion

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

(2019) Felix Sattler et al.   IEEE Transactions on Neural Networks and Learning Systems

In silico cancer research towards 3R

(2018) Claire Jean-Quartier et al.   BMC CANCER

A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications

(2018) HongYun Cai et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties

(2018) Tian Xie et al.   PHYSICAL REVIEW LETTERS

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Interactive machine learning: experimental evidence for the human in the algorithmic loop

(2018) Andreas Holzinger et al.   APPLIED INTELLIGENCE

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion

(2017) Tong Tong et al.   PATTERN RECOGNITION

Explaining nonlinear classification decisions with deep Taylor decomposition

(2017) Grégoire Montavon et al.   PATTERN RECOGNITION

Decision forest: Twenty years of research

(2016) Lior Rokach   Information Fusion

Integrated web visualizations for protein-protein interaction databases

(2015) Fleur Jeanquartier et al.   BMC BIOINFORMATICS

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

(2014) Andreas Holzinger et al.   BMC BIOINFORMATICS

Similarity network fusion for aggregating data types on a genomic scale

(2014) Bo Wang et al.   NATURE METHODS

Modules, networks and systems medicine for understanding disease and aiding diagnosis

(2014) Mika Gustafsson et al.   Genome Medicine

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS