Alexander Binder

About Alexander Binder

Alexander Binder, With an exceptional h-index of 32 and a recent h-index of 30 (since 2020), a distinguished researcher at Universitetet i Oslo, specializes in the field of Explainable Deep Learning, XAI, Aspects of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Layer-wise Feedback Propagation

Beyond explaining: Opportunities and challenges of XAI-based model improvement

Supplement to: Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Optimizing Explanations by Network Canonization and Hyperparameter Search

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Discovering Transferable Forensic Features for CNN-generated Images Detection

To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy

Toward Scalable and Unified Example-Based Explanation and Outlier Detection

Alexander Binder Information

University

Position

Associate Professor (UiO)

Citations(all)

14768

Citations(since 2020)

13238

Cited By

5413

hIndex(all)

32

hIndex(since 2020)

30

i10Index(all)

66

i10Index(since 2020)

49

Email

University Profile Page

Google Scholar

Alexander Binder Skills & Research Interests

Explainable Deep Learning

XAI

Aspects of Machine Learning

Top articles of Alexander Binder

Layer-wise Feedback Propagation

arXiv preprint arXiv:2308.12053

2023/8/23

Alexander Binder
Alexander Binder

H-Index: 18

Thomas Wiegand
Thomas Wiegand

H-Index: 59

Beyond explaining: Opportunities and challenges of XAI-based model improvement

2023/4/1

Alexander Binder
Alexander Binder

H-Index: 18

Supplement to: Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

2023/3

Alexander Binder
Alexander Binder

H-Index: 18

Optimizing Explanations by Network Canonization and Hyperparameter Search

2023

Alexander Binder
Alexander Binder

H-Index: 18

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

2023

Discovering Transferable Forensic Features for CNN-generated Images Detection

2022/10/23

To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy

Plos one

2022/10/18

Alexander Binder
Alexander Binder

H-Index: 18

Klaus-Robert Müller
Klaus-Robert Müller

H-Index: 95

Toward Scalable and Unified Example-Based Explanation and Outlier Detection

IEEE Transactions on Image Processing

2021/11/18

Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples

arXiv preprint arXiv:2110.12357

2021/10/24

Explain and improve: LRP-inference fine-tuning for image captioning models

Information Fusion

2022/1/1

Alexander Binder
Alexander Binder

H-Index: 18

Morphological and molecular breast cancer profiling through explainable machine learning

Nature Machine Intelligence

2021/4

Pruning by explaining: A novel criterion for deep neural network pruning

Pattern Recognition

2021/2/22

Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers

2021/1/10

Alexander Binder
Alexander Binder

H-Index: 18

Explanation-guided training for cross-domain few-shot classification

2020/7/17

Understanding integrated gradients with smoothtaylor for deep neural network attribution

2021/1/10

Alexander Binder
Alexander Binder

H-Index: 18

Analysing the Adversarial Landscape of Binary Stochastic Networks

Information Science and Applications: Proceedings of ICISA 2020

2021

Yi Xiang Marcus Tan
Yi Xiang Marcus Tan

H-Index: 5

Alexander Binder
Alexander Binder

H-Index: 18

Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation

arXiv preprint arXiv:2007.10817

2020/7/21

Alexander Binder
Alexander Binder

H-Index: 18

Simple and effective prevention of mode collapse in deep one-class classification

2020/7

Towards best practice in explaining neural network decisions with LRP

2020/7/19

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Scientific Reports

2020/4/14

See List of Professors in Alexander Binder University(Universitetet i Oslo)

Co-Authors

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