Prof. Binder
Fakultät für Informatik (FIN)
2023
Begutachteter Zeitschriftenartikel
Beyond explaining: Opportunities and challenges of XAI-based model improvement
Weber, Leander; Lapuschkin, Sebastian; Binder, Alexander; Samek, Wojciech
In: In: Information Fusion, Bd. 92, S. 154 – 176, 2023
Artikel in Kongressband
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
Binder, Alexander; Weber, Leander; Lapuschkin, Sebastian; Montavon, Grégoire; Müller, Klaus-Robert; Samek, Wojciech
In: In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Bd. 2023-June, S. 16143 – 16152, 2023
Optimizing Explanations by Network Canonization and Hyperparameter Search
Pahde, Frederik; Yolcu, Galip Ümit; Binder, Alexander; Samek, Wojciech; Lapuschkin, Sebastian
In: In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Bd. 2023-June, S. 3819 – 3828, 2023
2022
Begutachteter Zeitschriftenartikel
To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy
Srinivasan, Vignesh; Strodthoff, Nils; Ma, Jackie; Binder, Alexander; Müller, Klaus-Robert; Samek, Wojciech
In: In: PLoS ONE, Bd. 17, 10 October, 2022
Toward Scalable and Unified Example-Based Explanation and Outlier Detection
Chong, Penny; Cheung, Ngai-Man; Elovici, Yuval; Binder, Alexander
In: In: IEEE Transactions on Image Processing, Bd. 31, S. 525 – 540, 2022
Discovering Transferable Forensic Features for CNN-Generated Images Detection
Chandrasegaran, Keshigeyan; Tran, Ngoc-Trung; Binder, Alexander; Cheung, Ngai-Man
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 13675 LNCS, S. 671 – 689, 2022
Explain and improve: LRP-inference fine-tuning for image captioning models
Sun, Jiamei; Lapuschkin, Sebastian; Samek, Wojciech; Binder, Alexander
In: In: Information Fusion, Bd. 77, S. 233 – 246, 2022
2021
Begutachteter Zeitschriftenartikel
Pruning by explaining: A novel criterion for deep neural network pruning
Yeom, Seul-Ki; Seegerer, Philipp; Lapuschkin, Sebastian; Binder, Alexander; Wiedemann, Simon; Müller, Klaus-Robert; Samek, Wojciech
In: In: Pattern Recognition, Bd. 115, 2021
Morphological and molecular breast cancer profiling through explainable machine learning
Binder, Alexander; Bockmayr, Michael; Hägele, Miriam; Wienert, Stephan; Heim, Daniel; Hellweg, Katharina; Ishii, Masaru; Stenzinger, Albrecht; Hocke, Andreas; Denkert, Carsten; Müller, Klaus-Robert; Klauschen, Frederick
In: In: Nature Machine Intelligence, Bd. 3, 4, S. 355 – 366, 2021
Analysing the Adversarial Landscape of Binary Stochastic Networks
Tan, Yi Xiang Marcus; Elovici, Yuval; Binder, Alexander
In: In: Lecture Notes in Electrical Engineering, Bd. 739 LNEE, S. 143 – 155, 2021
Artikel in Kongressband
Detection of Adversarial Supports in Few-Shot Classifiers Using Self-Similarity and Filtering
Tan, Yi Xiang Marcus; Chong, Penny; Sun, Jiamei; Cheung, Ngai-Man; Elovici, Yuval; Binder, Alexander
In: In: CEUR Workshop Proceedings, Bd. 3084, 2021
2020
Begutachteter Zeitschriftenartikel
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images
Seegerer, Philipp; Binder, Alexander; Saitenmacher, René; Bockmayr, Michael; Alber, Maximilian; Jurmeister, Philipp; Klauschen, Frederick; Müller, Klaus-Robert
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 12090 LNCS, S. 16 – 37, 2020
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Hägele, Miriam; Seegerer, Philipp; Lapuschkin, Sebastian; Bockmayr, Michael; Samek, Wojciech; Klauschen, Frederick; Müller, Klaus-Robert; Binder, Alexander
In: In: Scientific Reports, Bd. 10, 1, 2020
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study
Chong, Penny; Elovici, Yuval; Binder, Alexander
In: In: IEEE Transactions on Information Forensics and Security, Bd. 15, S. 1086 – 1101, 2020
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
Koh, Jing Yu; Nguyen, Duc Thanh; Truong, Quang-Trung; Yeung, Sai-Kit; Binder, Alexander
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 12369 LNCS, S. 103 – 118, 2020
Artikel in Kongressband
Towards Best Practice in Explaining Neural Network Decisions with LRP
Kohlbrenner, Maximilian; Bauer, Alexander; Nakajima, Shinichi; Binder, Alexander; Samek, Wojciech; Lapuschkin, Sebastian
In: In: Proceedings of the International Joint Conference on Neural Networks, 2020
Adaptive noise injection for training stochastic student networks from deterministic teachers
Tan, Yi Xiang Marcus; Elovici, Yuval; Binder, Alexander
In: In: Proceedings - International Conference on Pattern Recognition, S. 7587 – 7594, 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Chong, Penny; Ruff, Lukas; Kloft, Marius; Binder, Alexander
In: In: Proceedings of the International Joint Conference on Neural Networks, 2020
DEEP SEMI-SUPERVISED ANOMALY DETECTION
Ruff, Lukas; Vandermeulen, Robert A.; Görnitz, Nico; Binder, Alexander; Müller, Emmanuel; Müller, Klaus-Robert; Kloft, Marius
In: In: 8th International Conference on Learning Representations, ICLR 2020, 2020
Understanding integrated gradients with smoothtaylor for deep neural network attribution
Goh, Gary S.W.; Lapuschkin, Sebastian; Weber, Leander; Samek, Wojciech; Binder, Alexander
In: In: Proceedings - International Conference on Pattern Recognition, S. 4949 – 4956, 2020
Explanation-guided training for cross-domain few-shot classification
Sun, Jiamei; Lapuschkin, Sebastian; Samek, Wojciech; Zhao, Yunqing; Cheung, Ngai-Man; Binder, Alexander
In: In: Proceedings - International Conference on Pattern Recognition, S. 7609 – 7616, 2020
SmartOTPs: An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets
Homoliak, Ivan; Breitenbacher, Dominik; Hujnak, Ondrej; Hartel, Pieter; Binder, Alexander; Szalachowski, Pawel
In: In: AFT 2020 - Proceedings of the 2nd ACM Conference on Advances in Financial Technologies, S. 145 – 162, 2020
2019
Begutachteter Zeitschriftenartikel
DeepClue: Visual interpretation of text-based deep stock prediction
Shi, Lei; Teng, Zhiyang; Wang, Le; Zhang, Yue; Binder, Alexander
In: In: IEEE Transactions on Knowledge and Data Engineering, Bd. 31, 6, S. 1094 – 1108, 2019
BatchNorm Decomposition for Deep Neural Network Interpretation
Hui, Lucas Y. W.; Binder, Alexander
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 11507 LNCS, S. 280 – 291, 2019
Unmasking Clever Hans predictors and assessing what machines really learn
Lapuschkin, Sebastian; Wäldchen, Stephan; Binder, Alexander; Montavon, Grégoire; Samek, Wojciech; Müller, Klaus-Robert
In: In: Nature Communications, Bd. 10, 1, 2019
Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques
Sadek, Ibrahim; Chong, Penny; Rehman, Shafiq Ul; Elovici, Yuval; Binder, Alexander
In: In: Data in Brief, Bd. 26, 2019
Layer-Wise Relevance Propagation: An Overview
Montavon, Grégoire; Binder, Alexander; Lapuschkin, Sebastian; Samek, Wojciech; Müller, Klaus-Robert
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 11700 LNCS, S. 193 – 209, 2019
Artikel in Kongressband
Thermal comfort based performance appraisal of covered walkways in Singapore
Subramanian, Ramanathan; Tuncer, Bige; Binder, Alexander
In: In: Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019, Bd. 1, S. 805 – 814, 2019
Generalized PatternAttribution for Neural Networks with Sigmoid Activations
Sun, Jiamei; Binder, Alexander
In: In: Proceedings of the International Joint Conference on Neural Networks, Bd. 2019-July, 2019
2018
Begutachteter Zeitschriftenartikel
Urban zoning using higher-order markov random fields on multi-view imagery data
Feng, Tian; Truong, Quang-Trung; Nguyen, Duc Thanh; Koh, Jing Yu; Yu, Lap-Fai; Binder, Alexander; Yeung, Sai-Kit
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 11212 LNCS, S. 627 – 644, 2018
Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
Klauschen, F.; Müller, K.-R.; Binder, A.; Bockmayr, M.; Hägele, M.; Seegerer, P.; Wienert, S.; Pruneri, G.; de Maria, S.; Badve, S.; Michiels, S.; Nielsen, T.O.; Adams, S.; Savas, P.; Symmans, F.; Willis, S.; Gruosso, T.; Park, M.; Haibe-Kains, B.; Gallas, B.; Thompson, A.M.; Cree, I.; Sotiriou, C.; Solinas, C.; Preusser, M.; Hewitt, S.M.; Rimm, D.; Viale, G.; Loi, S.; Loibl, S.; Salgado, R.; Denkert, C.
In: In: Seminars in Cancer Biology, Bd. 52, S. 151 – 157, 2018
Artikel in Kongressband
Detection of masqueraders based on graph partitioning of file system access events
Toffalini, Flavio; Homoliak, Ivan; Harilal, Athul; Binder, Alexander; Ochoa, Martín
In: In: Proceedings - 2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018, S. 217 – 227, 2018
Corplab Inli@FIRE-2018: Identification of indian native language using pairwise coupling
Mondal, Soumik; Harilal, Athul; Binder, Alexander
In: In: CEUR Workshop Proceedings, Bd. 2266, S. 77 – 81, 2018
Mouse authentication without the temporal aspect - What does a 2D-CNN learn?
Chong, Penny; Tan, Yi Xiang Marcus; Guarnizo, Juan; Elovici, Yuval; Binder, Alexander
In: In: Proceedings - 2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018, S. 15 – 21, 2018
Deep one-class classification
Ruff, Lukas; Vandermeulen, Robert A.; Görnitz, Nico; Deecke, Lucas; Siddiqui, Shoaib A.; Binder, Alexander; Müller, Emmanuel; Kloft, Marius
In: In: 35th International Conference on Machine Learning, ICML 2018, Bd. 10, S. 6981 – 6996, 2018
2017
Begutachteter Zeitschriftenartikel
Object boundary detection and classification with image-level labels
Koh, Jing Yu; Samek, Wojciech; Müller, Klaus-Robert; Binder, Alexander
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 10496 LNCS, S. 153 – 164, 2017
Evaluating the visualization of what a deep neural network has learned
Samek, Wojciech; Binder, Alexander; Montavon, Grégoire; Lapuschkin, Sebastian; Müller, Klaus-Robert
In: In: IEEE Transactions on Neural Networks and Learning Systems, Bd. 28, 11, S. 2660 – 2673, 2017
Explaining nonlinear classification decisions with deep Taylor decomposition
Montavon, Grégoire; Lapuschkin, Sebastian; Binder, Alexander; Samek, Wojciech; Müller, Klaus-Robert
In: In: Pattern Recognition, Bd. 65, S. 211 – 222, 2017
Artikel in Kongressband
Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Samek, Wojciech; Binder, Alexander; Lapuschkin, Sebastian; Muller, Klaus-Robert
In: In: Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, Bd. 2018-January, S. 1629 – 1638, 2017
Insights from curve fitting models in mouse dynamics authentication systems
Tan, Yi Xiang Marcus; Binder, Alexander; Roy, Arunava
In: In: 2017 IEEE Conference on Applications, Information and Network Security, AINS 2017, Bd. 2018-January, S. 42 – 47, 2017
ImageCLEF 2017: ImageCLEF tuberculosis task - The SGEast submission
Sun, Jiamei; Chong, Penny; Tan, Yi Xiang Marcus; Binder, Alexander
In: In: CEUR Workshop Proceedings, Bd. 1866, 2017
Comparison of deep learning architectures for H&E histopathology images
Sun, Jiamei; Binder, Alexander
In: In: 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, Bd. 2018-January, S. 43 – 48, 2017
2016
Begutachteter Zeitschriftenartikel
Layer-wise relevance propagation for deep neural network architectures
Binder, Alexander; Bach, Sebastian; Montavon, Gregoire; Müller, Klaus-Robert; Samek, Wojciech
In: In: Lecture Notes in Electrical Engineering, Bd. 376, S. 913 – 922, 2016
The LRP toolbox for artificial neural networks
Lapuschkin, Sebastian; Binder, Alexander; Montavon, Grégoire; Müller, Klaus-Robert; Samek, Wojciech
In: In: Journal of Machine Learning Research, Bd. 17, S. 1 – 5, 2016
Layer-wise relevance propagation for neural networks with local renormalization layers
Binder, Alexander; Montavon, Grégoire; Lapuschkin, Sebastian; Müller, Klaus-Robert; Samek, Wojciech
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 9887 LNCS, S. 63 – 71, 2016
Localized multiple kernel learning|A convex approach
Lei, Yunwen; Binder, Alexander; Dogan, Urun; Kloft, Marius
In: In: Journal of Machine Learning Research, Bd. 63, S. 81 – 96, 2016
Artikel in Kongressband
Controlling explanatory heatmap resolution and semantics via decomposition depth
Bach, Sebastian; Binder, Alexander; Muller, Klaus-Robert; Samek, Wojciech
In: In: Proceedings - International Conference on Image Processing, ICIP, Bd. 2016-August, S. 2271 – 2275, 2016
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Lapuschkin, Sebastian; Binder, Alexander; Montavon, Gregoire; Muller, Klaus-Robert; Samek, Wojciech
In: In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Bd. 2016-December, S. 2912 – 2920, 2016
2015
Begutachteter Zeitschriftenartikel
Extracting latent brain states - Towards true labels in cognitive neuroscience experiments
Porbadnigk, Anne K.; Görnitz, Nico; Sannelli, Claudia; Binder, Alexander; Braun, Mikio; Kloft, Marius; Müller, Klaus-Robert
In: In: NeuroImage, Bd. 120, S. 225 – 253, 2015
On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Bach, Sebastian; Binder, Alexander; Montavon, Grégoire; Klauschen, Frederick; Müller, Klaus-Robert; Samek, Wojciech
In: In: PLoS ONE, Bd. 10, 7, 2015
Artikel in Kongressband
Multi-class SVMs: From tighter data-dependent generalization bounds to novel algorithms
Lei, Yunwen; Dogan, Ürün; Binder, Alexander; Kloft, Marius
In: In: Advances in Neural Information Processing Systems, Bd. 2015-January, S. 2035 – 2043, 2015
2014
Begutachteter Zeitschriftenartikel
Machine Learning for Visual Concept Recognition and Ranking for Images
Binder, Alexander; Samek, Wojciech; Müller, Klaus-Robert; Kawanabe, Motoaki
In: In: Cognitive Technologies, Bd. 39, S. 211 – 223, 2014
Learning and evaluation in presence of Non-i.i.d. label noise
Görnitz, Nico; Porbadnigk, Anne K.; Binder, Alexander; Sannelli, Claudia; Braun, Mikio; Müller, Klaus-Robert; Kloft, Marius
In: In: Journal of Machine Learning Research, Bd. 33, S. 293 – 302, 2014
Artikel in Kongressband
When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning
Porbadnigk, Anne K.; Görnitz, Nico; Sannelli, Claudia; Binder, Alexander; Braun, Mikio; Kloft, Marius; Müller, Klaus-Robert
In: In: 2014 International Winter Workshop on Brain-Computer Interface, BCI 2014, 2014
Multi-modal identification and tracking of vehicles in partially observed environments
Becker, Daniel; Binder, Alexander; Einsiedler, Jens; Radusch, Ilja
In: In: IPIN 2014 - 2014 International Conference on Indoor Positioning and Indoor Navigation, S. 77 – 86, 2014
2013
Begutachteter Zeitschriftenartikel
Enhanced representation and multi-task learning for image annotation
Binder, Alexander; Samek, Wojciech; Müller, Klaus-Robert; Kawanabe, Motoaki
In: In: Computer Vision and Image Understanding, Bd. 117, 5, S. 466 – 478, 2013
Artikel in Kongressband
Multiple kernel learning for brain-computer interfacing
Samek, Wojciech; Binder, Alexander; Muller, Klaus-Robert
In: In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, S. 7048 – 7051, 2013
Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities
Becker, Daniel; Einsiedler, Jens; Schäufele, Bernd; Binder, Alexander; Radusch, Ilja
In: In: 2013 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2013, 2013
2012
Begutachteter Zeitschriftenartikel
Insights from classifying visual concepts with multiple kernel learning
Binder, Alexander; Nakajima, Shinichi; Kloft, Marius; Müller, Christina; Samek, Wojciech; Brefeld, Ulf; Müller, Klaus-Robert; Kawanabe, Motoaki
In: In: PLoS ONE, Bd. 7, 8, 2012
On taxonomies for multi-class image categorization
Binder, Alexander; Müller, Klaus-Robert; Kawanabe, Motoaki
In: In: International Journal of Computer Vision, Bd. 99, 3, S. 281 – 301, 2012
2011
Begutachteter Zeitschriftenartikel
Multi-task learning via non-sparse multiple kernel learning
Samek, Wojciech; Binder, Alexander; Kawanabe, Motoaki
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 6854 LNCS, PART 1, S. 335 – 342, 2011
A hybrid supervised-unsupervised vocabulary generation algorithm for visual concept recognition
Binder, Alexander; Wojcikiewicz, Wojciech; Müller, Christina; Kawanabe, Motoaki
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 6494 LNCS, PART 3, S. 95 – 108, 2011
Artikel in Kongressband
Multi-modal visual concept classification of images via Markov random walk over tags
Kawanabe, Motoaki; Binder, Alexander; Müller, Christina; Wojcikiewicz, Wojciech
In: In: 2011 IEEE Workshop on Applications of Computer Vision, WACV 2011, S. 396 – 401, 2011
The joint submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the image CLEF 2011 photo annotation task
Binder, Alexander; Samek, Wojciech; Kloft, Marius; Müller, Christina; Müller, Klaus-Robert; Kawanabe, Motoaki
In: In: CEUR Workshop Proceedings, Bd. 1177, 2011
2010
Begutachteter Zeitschriftenartikel
Efficient classification of images with taxonomies
Binder, Alexander; Kawanabe, Motoaki; Brefeld, Ulf
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 5996 LNCS, PART 3, S. 351 – 362, 2010
The Shogun machine learning toolbox
Sonnenburg, Sören; Rätsch, Gunnar; Henschel, Sebastian; Widmer, Christian; Behr, Jonas; Zien, Alexander; De Bona, Fabio; Binder, Alexander; Gehl, Christian; Franc, Vojtěch
In: In: Journal of Machine Learning Research, Bd. 11, S. 1799 – 1802, 2010
Enhancing recognition of visual concepts with primitive color histograms via non-sparse multiple kernel learning
Binder, Alexander; Kawanabe, Motoaki
In: In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 6242 LNCS, S. 269 – 276, 2010
Artikel in Kongressband
Shrinking large visual vocabularies using multi-label agglomerative information bottleneck
Wojcikiewicz, Wojciech; Binder, Alexander; Kawanabe, Motoaki
In: In: Proceedings - International Conference on Image Processing, ICIP, S. 3849 – 3852, 2010
2009
Artikel in Kongressband
Fraunhofer FIRST's submission to ImageCLEF2009 photo annotation task: Non-sparse multiple kernel learning
Binder, Alexander; Kawanabe, Motoaki
In: In: CEUR Workshop Proceedings, Bd. 1175, 2009
A procedure of adaptive kernel combination with kernel-target alignment for object classification
Kawanabe, Motoaki; Nakajima, Shinichi; Binder, Alexander
In: In: CIVR 2009 - Proceedings of the ACM International Conference on Image and Video Retrieval, S. 168 – 174, 2009
2003
Begutachteter Zeitschriftenartikel
Clinical relevance of CD95 (Fas/Apo-1) on T cells of patients with B-cell chronic lymphocytic leukemia
Groneberg, Claudia; Pickartz, Tilman; Binder, Alexander; Ringel, Frauke; Srock, Stefanie; Sieber, Thomas; Schoeler, Dagmar; Schriever, Folke
In: In: Experimental Hematology, Bd. 31, 8, S. 682 – 685, 2003
- Explainability
- XAI
- Computer Vision
- Outlier Detection
- Medical Imaging
- Large Multimodal Models
- Deep Learning in general
- Consulting
- Collaborative projects
- Ask
- 2013: Dr. rer. nat., TU-Berlin, Abt. Maschinelles Lernen. Doktorvater Prof. Dr. K.-R. Mueller
- 2015-2020: Assistant Professor, Singapore University of Technology and Design (SUTD), Singapore
- 2021: Associate Professor, UiO, Oslo, Norway
- Dec 2021-Mar 2024: Associate Professor, Singapore Institute of Technology (SIT), Singapore
- Apr 2024 - now: Professor, Lehrstuhl Computer Vision, OvGU Magdeburg