Alexander Binder
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
17
Active years
2009–2023
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CVPR | Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations. | Alexander Binder, Leander Weber, Sebastian Lapuschkin, Grgoire Montavon, Klaus-Robert Mller, Wojciech Samek |
| 2023 | CVPR | Optimizing Explanations by Network Canonization and Hyperparameter Search. | Frederik Pahde, Galip mit Yolcu, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin |
| 2022 | ECCV | Discovering Transferable Forensic Features for CNN-Generated Images Detection. | Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung |
| 2020 | AFT | SmartOTPs: An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. | Ivan Homoliak, Dominik Breitenbacher, Ondrej Hujnak, Pieter H. Hartel, Alexander Binder, Pawel Szalachowski |
| 2020 | ECCV | SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. | Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder |
| 2020 | ICLR | Deep Semi-Supervised Anomaly Detection. | Lukas Ruff, Robert A. Vandermeulen, Nico Grnitz, Alexander Binder, Emmanuel Mller, Klaus-Robert Mller, Marius Kloft |
| 2020 | ICPR | Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. | Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber, Wojciech Samek, Alexander Binder |
| 2020 | IJCNN | Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. | Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder |
| 2020 | ICPR | Explanation-Guided Training for Cross-Domain Few-Shot Classification. | Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder |
| 2020 | ICPR | Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. | Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder |
| 2020 | IJCNN | Towards Best Practice in Explaining Neural Network Decisions with LRP. | Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder, Wojciech Samek, Sebastian Lapuschkin |
| 2019 | IJCNN | Generalized PatternAttribution for Neural Networks with Sigmoid Activations. | Jiamei Sun, Alexander Binder |
| 2019 | IJCNN | Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. | Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder |
| 2019 | IWANN | BatchNorm Decomposition for Deep Neural Network Interpretation. | Lucas Y. W. Hui, Alexander Binder |
| 2018 | ECCV | Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data. | Tian Feng, Quang-Trung Truong, Duc Thanh Nguyen, Jing Yu Koh, Lap-Fai Yu, Alexander Binder, Sai-Kit Yeung |
| 2018 | ICML | Deep One-Class Classification. | Lukas Ruff, Nico Grnitz, Lucas Deecke, Shoaib Ahmed Siddiqui, Robert A. Vandermeulen, Alexander Binder, Emmanuel Mller, Marius Kloft |
| 2018 | SP | Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? | Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder |
| 2018 | SP | Detection of Masqueraders Based on Graph Partitioning of File System Access Events. | Flavio Toffalini, Ivan Homoliak, Athul Harilal, Alexander Binder, Martn Ochoa |
| 2016 | ACML | Localized Multiple Kernel Learning - A Convex Approach. | Yunwen Lei, Alexander Binder, rn Dogan, Marius Kloft |
| 2016 | CVPR | Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. | Sebastian Lapuschkin, Alexander Binder, Grgoire Montavon, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICANN | Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers. | Alexander Binder, Grgoire Montavon, Sebastian Lapuschkin, Klaus-Robert Mller, Wojciech Samek |
| 2016 | ICIP | Controlling explanatory heatmap resolution and semantics via decomposition depth. | Sebastian Bach, Alexander Binder, Klaus-Robert Mller, Wojciech Samek |
| 2014 | AISTATS | Learning and Evaluation in Presence of Non-i.i.d. Label Noise. | Nico Grnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Mller, Marius Kloft |
| 2014 | IPIN | Multi-modal identification and tracking of vehicles in partially observed environments. | Daniel Becker, Alexander Binder, Jens Einsiedler, Ilja Radusch |
| 2013 | IPIN | Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities. | Daniel Becker, Jens Einsiedler, Bernd Schufele, Alexander Binder, Ilja Radusch |
| 2011 | CAIP | Multi-task Learning via Non-sparse Multiple Kernel Learning. | Wojciech Samek, Alexander Binder, Motoaki Kawanabe |
| 2011 | WACV | Multi-modal visual concept classification of images via Markov random walk over tags. | Motoaki Kawanabe, Alexander Binder, Christina Mller, Wojciech Wojcikiewicz |
| 2010 | ACCV | A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. | Alexander Binder, Wojciech Wojcikiewicz, Christina Mller, Motoaki Kawanabe |
| 2010 | ICIP | Shrinking large visual vocabularies using multi-label agglomerative information bottleneck. | Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe |
| 2010 | ICPR | Enhancing Image Classification with Class-wise Clustered Vocabularies. | Wojciech Wojcikiewicz, Alexander Binder, Motoaki Kawanabe |
| 2009 | ACCV | Efficient Classification of Images with Taxonomies. | Alexander Binder, Motoaki Kawanabe, Ulf Brefeld |