Alexander Binder

100 papers A* 5A 2B 11C 3Journal 52Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation. Trans. Mach. Learn. Res. Leander Weber, Jim Berend, Moritz Weckbecker, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2025	J	`jnl`	Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment. CoRR Sy-Tuyen Ho, Koh Jun Hao, Ngoc-Bao Nguyen, Alexander Binder, Ngai-Man Cheung
2025	J	`jnl`	Value bounds and Convergence Analysis for Averages of LRP attributions. CoRR Alexander Binder, Nastaran Takmil-Homayouni, Ürün Dogan
2024	A*	`conf`	Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology. NeurIPS Dhananjay Tomar, Alexander Binder, Andreas Kleppe
2024	J	`jnl`	Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology. CoRR Dhananjay Tomar, Alexander Binder, Andreas Kleppe
2023	J	`jnl`	Beyond explaining: Opportunities and challenges of XAI-based model improvement. Inf. Fusion Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
2023	J	`jnl`	Layer-wise Feedback Propagation. CoRR Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin
2023	—	`conf`	Optimizing Explanations by Network Canonization and Hyperparameter Search. CVPR Workshops Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2023	A*	`conf`	Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CVPR Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2022	J	`jnl`	Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement. CoRR Leander Weber, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek
2022	—	`conf`	Discovering Transferable Forensic Features for CNN-Generated Images Detection. ECCV (15) Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
2022	J	`jnl`	Discovering Transferable Forensic Features for CNN-generated Images Detection. CoRR Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung
2022	J	`jnl`	Explain and improve: LRP-inference fine-tuning for image captioning models. Inf. Fusion Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
2022	J	`jnl`	Optimizing Explanations by Network Canonization and Hyperparameter Search. CoRR Frederik Pahde, Galip Ümit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2022	J	`jnl`	Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. CoRR Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2022	J	`jnl`	Toward Scalable and Unified Example-Based Explanation and Outlier Detection. IEEE Trans. Image Process. Penny Chong, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
2021	J	`jnl`	Morphological and molecular breast cancer profiling through explainable machine learning. Nat. Mach. Intell. Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen
2021	J	`jnl`	On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Alexander Binder, Simon Wiedemann, Klaus-Robert Müller, Wojciech Samek
2021	J	`jnl`	Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
2020	B	`conf`	Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. ICPR Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
2020	A*	`conf`	Deep Semi-Supervised Anomaly Detection. ICLR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2020	J	`jnl`	Deja vu from the SVM Era: Example-based Explanations with Outlier Detection. CoRR Penny Chong, Yuval Elovici, Alexander Binder
2020	J	`jnl`	Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. CoRR Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder
2020	B	`conf`	Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
2020	J	`jnl`	Explanation-Guided Training for Cross-Domain Few-Shot Classification. CoRR Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
2020	—	`ch.`	Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. AI and ML for Digital Pathology Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller
2020	J	`jnl`	Lymphocyte counting - Error Analysis of Regression versus Bounding Box Detection Approaches. CoRR Lin Geng Foo, Alexander Binder
2020	—	`conf`	SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. ECCV (24) Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
2020	J	`jnl`	SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. CoRR Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
2020	B	`conf`	Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
2020	J	`jnl`	Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
2020	B	`conf`	SmartOTPs: An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. AFT Ivan Homoliak, Dominik Breitenbacher, Ondrej Hujnak, Pieter H. Hartel, Alexander Binder, Pawel Szalachowski
2020	B	`conf`	Towards Best Practice in Explaining Neural Network Decisions with LRP. IJCNN Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2020	J	`jnl`	Understanding Image Captioning Models beyond Visualizing Attention. CoRR Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Alexander Binder
2020	B	`conf`	Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. ICPR Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
2020	J	`jnl`	Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. CoRR Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder
2020	J	`jnl`	User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study. IEEE Trans. Inf. Forensics Secur. Penny Chong, Yuval Elovici, Alexander Binder
2019	B	`conf`	Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. IJCNN Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder
2019	J	`jnl`	Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. CoRR Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder
2019	—	`conf`	BatchNorm Decomposition for Deep Neural Network Interpretation. IWANN (2) Lucas Y. W. Hui, Alexander Binder
2019	J	`jnl`	Deep Semi-Supervised Anomaly Detection. CoRR Lukas Ruff, Robert A. Vandermeulen, Nico Görnitz, Alexander Binder, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft
2019	J	`jnl`	DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction. IEEE Trans. Knowl. Data Eng. Lei Shi, Zhiyang Teng, Le Wang, Yue Zhang, Alexander Binder
2019	J	`jnl`	Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks. CoRR Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
2019	B	`conf`	Generalized PatternAttribution for Neural Networks with Sigmoid Activations. IJCNN Jiamei Sun, Alexander Binder
2019	—	`ch.`	Layer-Wise Relevance Propagation: An Overview. Explainable AI Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller
2019	J	`jnl`	Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder
2019	J	`jnl`	Towards best practice in explaining neural network decisions with LRP. CoRR Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin
2019	J	`jnl`	Unmasking Clever Hans Predictors and Assessing What Machines Really Learn. CoRR Sebastian Lapuschkin, Stephan Wäldchen, Alexander Binder, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
2018	J	`jnl`	An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. CoRR Ivan Homoliak, Dominik Breitenbacher, Alexander Binder, Pawel Szalachowski
2018	—	`conf`	Corplab INLI@FIRE-2018: Identification of Indian Native Language using Pairwise Coupling. FIRE (Working Notes) Soumik Mondal, Athul Harilal, Alexander Binder
2018	A*	`conf`	Deep One-Class Classification. ICML Lukas Ruff, Nico Görnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Müller, Marius Kloft
2018	—	`conf`	Detection of Masqueraders Based on Graph Partitioning of File System Access Events. IEEE Symposium on Security and Privacy Workshops Flavio Toffalini, Ivan Homoliak, Athul Harilal, Alexander Binder, Martín Ochoa
2018	—	`conf`	Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? IEEE Symposium on Security and Privacy Workshops Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder
2018	J	`jnl`	Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. CoRR Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen
2018	—	`conf`	Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. ECCV (8) Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung
2017	J	`jnl`	Evaluating the Visualization of What a Deep Neural Network Has Learned. IEEE Trans. Neural Networks Learn. Syst. Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller
2017	J	`jnl`	Explaining nonlinear classification decisions with deep Taylor decomposition. Pattern Recognit. Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
2017	—	`conf`	ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission. CLEF (Working Notes) Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan, Alexander Binder
2017	—	`conf`	Object Boundary Detection and Classification with Image-Level Labels. GCPR Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
2017	—	`conf`	Understanding and Comparing Deep Neural Networks for Age and Gender Classification. ICCV Workshops Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
2017	J	`jnl`	Understanding and Comparing Deep Neural Networks for Age and Gender Classification. CoRR Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	A*	`conf`	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CVPR Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth. CoRR Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	B	`conf`	Controlling explanatory heatmap resolution and semantics via decomposition depth. ICIP Sebastian Bach, Alexander Binder, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation. CoRR Wojciech Samek, Grégoire Montavon, Alexander Binder, Sebastian Lapuschkin, Klaus-Robert Müller
2016	—	`conf`	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. ICANN (2) Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers. CoRR Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller, Wojciech Samek
2016	C	`conf`	Localized Multiple Kernel Learning - A Convex Approach. ACML Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
2016	J	`jnl`	The LRP Toolbox for Artificial Neural Networks. J. Mach. Learn. Res. Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2016	J	`jnl`	Zero Shot Learning for Semantic Boundary Detection - How Far Can We Get? CoRR Jing Yu Koh, Wojciech Samek, Klaus-Robert Müller, Alexander Binder
2015	J	`jnl`	Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. CoRR Sebastian Bach, Alexander Binder, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
2015	J	`jnl`	Evaluating the visualization of what a Deep Neural Network has learned. CoRR Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Bach, Klaus-Robert Müller
2015	J	`jnl`	Explaining NonLinear Classification Decisions with Deep Taylor Decomposition. CoRR Grégoire Montavon, Sebastian Bach, Alexander Binder, Wojciech Samek, Klaus-Robert Müller
2015	J	`jnl`	Extracting latent brain states - Towards true labels in cognitive neuroscience experiments. NeuroImage Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
2015	J	`jnl`	Localized Multiple Kernel Learning - A Convex Approach. CoRR Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
2015	—	`conf`	Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. NIPS Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
2015	J	`jnl`	Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. CoRR Yunwen Lei, Ürün Dogan, Alexander Binder, Marius Kloft
2015	—	`conf`	Theory and Algorithms for the Localized Setting of Learning Kernels. FE@NIPS Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
2014	A	`conf`	Learning and Evaluation in Presence of Non-i.i.d. Label Noise. AISTATS Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft
2014	—	`ch.`	Machine Learning for Visual Concept Recognition and Ranking for Images. Towards the Internet of Services Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2014	C	`conf`	Multi-modal identification and tracking of vehicles in partially observed environments. IPIN Daniel Becker, Alexander Binder, Jens Einsiedler, Ilja Radusch
2014	—	`conf`	When brain and behavior disagree: Tackling systematic label noise in EEG data with machine learning. BCI Anne K. Porbadnigk, Nico Görnitz, Claudia Sannelli, Alexander Binder, Mikio L. Braun, Marius Kloft, Klaus-Robert Müller
2013	—	`—`	Bag of Machine Learning Concepts for Visual Concept Recognition in Images. Alexander Binder
2013	J	`jnl`	Enhanced representation and multi-task learning for image annotation. Comput. Vis. Image Underst. Alexander Binder, Wojciech Samek, Klaus-Robert Müller, Motoaki Kawanabe
2013	C	`conf`	Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities. IPIN Daniel Becker, Jens Einsiedler, Bernd Schäufele, Alexander Binder, Ilja Radusch
2013	—	`conf`	Multiple Kernel Learning for Brain-Computer Interfacing. EMBC Wojciech Samek, Alexander Binder, Klaus-Robert Müller
2012	J	`jnl`	On Taxonomies for Multi-class Image Categorization. Int. J. Comput. Vis. Alexander Binder, Klaus-Robert Müller, Motoaki Kawanabe
2011	J	`jnl`	Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
2011	A	`conf`	Multi-modal visual concept classification of images via Markov random walk over tags. WACV Motoaki Kawanabe, Alexander Binder, Christina Müller, Wojciech Wojcikiewicz
2011	—	`conf`	Multi-task Learning via Non-sparse Multiple Kernel Learning. CAIP (1) Wojciech Samek, Alexander Binder, Motoaki Kawanabe
2011	—	`conf`	The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task. CLEF (Notebook Papers/Labs/Workshop) Alexander Binder, Wojciech Samek, Marius Kloft, Christina Müller, Klaus-Robert Müller, Motoaki Kawanabe
2010	—	`conf`	A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV (3) Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe
2010	B	`conf`	Enhancing Image Classification with Class-wise Clustered Vocabularies. ICPR Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
2010	B	`conf`	Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. ICIP Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe
2010	J	`jnl`	The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc
2009	—	`conf`	A procedure of adaptive kernel combination with kernel-target alignment for object classification. CIVR Motoaki Kawanabe, Shinichi Nakajima, Alexander Binder
2009	—	`conf`	Efficient Classification of Images with Taxonomies. ACCV (3) Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
2009	—	`conf`	Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning. CLEF (2) Alexander Binder, Motoaki Kawanabe
2009	—	`conf`	Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning. CLEF (Working Notes) Alexander Binder, Motoaki Kawanabe