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08/27/2023
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust
Explaining concepts by contrasting examples is an efficient and convenie...
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07/04/2023
Task Planning Support for Arborists and Foresters: Comparing Deep Learning Approaches for Tree Inventory and Tree Vitality Assessment Based on UAV-Data
Climate crisis and correlating prolonged, more intense periods of drough...
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05/30/2023
Explaining Hate Speech Classification with Model Agnostic Methods
There have been remarkable breakthroughs in Machine Learning and Artific...
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10/31/2022
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition
Neural networks are widely adopted, yet the integration of domain knowle...
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05/20/2022
Explanatory machine learning for sequential human teaching
The topic of comprehensibility of machine-learned theories has recently ...
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04/06/2022
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification
Would you trust physicians if they cannot explain their decisions to you...
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04/04/2022
Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation
Artificial Intelligence and Digital Twins play an integral role in drivi...
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03/17/2022
An Interactive Explanatory AI System for Industrial Quality Control
Machine learning based image classification algorithms, such as deep neu...
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01/03/2022
Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings
One major drawback of deep convolutional neural networks (CNNs) for use ...
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10/07/2021
Explanation as a process: user-centric construction of multi-level and multi-modal explanations
In the last years, XAI research has mainly been concerned with developin...
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07/24/2021
Extending Challenge Sets to Uncover Gender Bias in Machine Translation: Impact of Stereotypical Verbs and Adjectives
Human gender bias is reflected in language and text production. Because ...
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06/15/2021
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach
In recent research, human-understandable explanations of machine learnin...
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05/16/2021
Expressive Explanations of DNNs by Combining Concept Analysis with ILP
Explainable AI has emerged to be a key component for black-box machine l...
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09/09/2020
Beneficial and Harmful Explanatory Machine Learning
Given the recent successes of Deep Learning in AI there has been increas...
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10/17/2019
Effect of Superpixel Aggregation on Explanations in LIME – A Case Study with Biological Data
End-to-end learning with deep neural networks, such as convolutional neu...
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10/04/2019
Enriching Visual with Verbal Explanations for Relational Concepts – Combining LIME with Aleph
With the increasing number of deep learning applications, there is a gro...
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12/19/2014