Alexander Binder
Orcid: 0000-0001-9605-6209Affiliations:
- Technical University of Berlin, Department of Mathematics, Germany
According to our database1,
Alexander Binder
authored at least 76 papers
between 2009 and 2023.
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Bibliography
2023
Inf. Fusion, April, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Image Process., 2022
Inf. Fusion, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Pattern Recognit., 2021
Morphological and molecular breast cancer profiling through explainable machine learning.
Nat. Mach. Intell., 2021
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples.
CoRR, 2021
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy.
CoRR, 2021
2020
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.
AI and ML for Digital Pathology, 2020
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study.
IEEE Trans. Inf. Forensics Secur., 2020
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity.
CoRR, 2020
CoRR, 2020
Lymphocyte counting - Error Analysis of Regression versus Bounding Box Detection Approaches.
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the AFT '20: 2nd ACM Conference on Advances in Financial Technologies, 2020
2019
Proceedings of the Explainable AI: Interpreting, 2019
IEEE Trans. Knowl. Data Eng., 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks.
CoRR, 2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
CoRR, 2019
CoRR, 2019
Proceedings of the Advances in Computational Intelligence, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.
CoRR, 2018
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Corplab INLI@FIRE-2018: Identification of Indian Native Language using Pairwise Coupling.
Proceedings of the Working Notes of FIRE 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Pattern Recognit., 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
Proceedings of the Working Notes of CLEF 2017, 2017
2016
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation.
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Extracting latent brain states - Towards true labels in cognitive neuroscience experiments.
NeuroImage, 2015
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
2014
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014
Multi-modal identification and tracking of vehicles in partially observed environments.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
PhD thesis, 2013
Comput. Vis. Image Underst., 2013
Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
2011
Multi-modal visual concept classification of images via Markov random walk over tags.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task.
Proceedings of the CLEF 2011 Labs and Workshop, 2011
Proceedings of the Computer Analysis of Images and Patterns, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck.
Proceedings of the International Conference on Image Processing, 2010
A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010
2009
Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009
Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009
A procedure of adaptive kernel combination with kernel-target alignment for object classification.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009
Proceedings of the Computer Vision, 2009