Andreas Holzinger | DeepAI

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∙ 07/15/2023

Explainable AI with counterfactual paths

Explainable AI (XAI) is an increasingly important area of research in ma...

0 Bastian Pfeifer, et al. ∙

∙ 05/18/2023

Ethical ChatGPT: Concerns, Challenges, and Commandments

Large language models, e.g. ChatGPT are currently contributing enormousl...

0 Jianlong Zhou, et al. ∙

∙ 05/20/2022

Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization

There is a broad consensus on the importance of deep learning models in ...

0 Javier Del Ser, et al. ∙

∙ 08/26/2021

Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI

Network-based algorithms are used in most domains of research and indust...

42 Bastian Pfeifer, et al. ∙

∙ 05/12/2021

The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond

Machine Learning (ML) and Artificial Intelligence (AI) have shown promis...

7 Julian Matschinske, et al. ∙

∙ 03/21/2021

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

Optimal performance is critical for decision-making tasks from medicine ...

23 André M. Carrington, et al. ∙

∙ 02/28/2021

KANDINSKYPatterns – An experimental exploration environment for Pattern Analysis and Machine Intelligence

Machine intelligence is very successful at standard recognition tasks wh...

11 Andreas Holzinger, et al. ∙

∙ 07/22/2020

Privacy-preserving Artificial Intelligence Techniques in Biomedicine

Artificial intelligence (AI) has been successfully applied in numerous s...

11 Reihaneh Torkzadehmahani, et al. ∙

∙ 12/19/2019

Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations

Recent success in Artificial Intelligence (AI) and Machine Learning (ML)...

50 Andreas Holzinger, et al. ∙

∙ 12/06/2019

Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs

In this paper a neural network is trained to perform simple arithmetic u...

0 Marcus D. Bloice, et al. ∙

∙ 06/03/2019

Kandinsky Patterns

Kandinsky Figures and Kandinsky Patterns are mathematically describable,...

0 Heimo Mueller, et al. ∙

∙ 04/19/2018

Ambient Assisted Living technologies from the perspectives of older people and professionals

Ambient Assisted Living (AAL) and Ambient Intelligence technologies are ...

0 Deepika Singh, et al. ∙

∙ 04/19/2018

Human Activity Recognition using Recurrent Neural Networks

Human activity recognition using smart home sensors is one of the bases ...

0 Deepika Singh, et al. ∙

∙ 02/22/2018

A Deep Learning Approach for Privacy Preservation in Assisted Living

In the era of Internet of Things (IoT) technologies the potential for pr...

0 Ismini Psychoula, et al. ∙

∙ 02/11/2018

The Need for Speed of AI Applications: Performance Comparison of Native vs. Browser-based Algorithm Implementations

AI applications pose increasing demands on performance, so it is not sur...

0 Bernd Malle, et al. ∙

∙ 12/28/2017

What do we need to build explainable AI systems for the medical domain?

Artificial intelligence (AI) generally and machine learning (ML) specifi...

0 Andreas Holzinger, et al. ∙

∙ 12/18/2017

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology

Digital pathology is not only one of the most promising fields of diagno...

0 Andreas Holzinger, et al. ∙

∙ 08/11/2017

Augmentor: An Image Augmentation Library for Machine Learning

The generation of artificial data based on existing observations, known ...

0 Marcus D. Bloice, et al. ∙

∙ 08/03/2017

A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop

The goal of Machine Learning to automatically learn from data, extract k...

0 Andreas Holzinger, et al. ∙

∙ 07/28/2017

Review of Machine Learning Algorithms in Differential Expression Analysis

In biological research machine learning algorithms are part of nearly ev...

0 Irina Kuznetsova, et al. ∙

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