- Seul-Ki Yeom, Philipp Seegerer
, Sebastian Lapuschkin
, Alexander Binder
, Simon Wiedemann
, Klaus-Robert Müller
, Wojciech Samek:
Pruning by explaining: A novel criterion for deep neural network pruning. Pattern Recognit. 115: 107899 (2021) - Rasha U. Abbasi, Markus Ackermann, Jenni Adams, Juan Antonio Aguilar Sánchez
, Markus Ahlers, Markus Ahrens, Cyril Martin Alispach, Antonio Augusto Alves Jr., Najia Moureen Amin, Rui An, Karen Andeen, Tyler Anderson, I. Ansseau, Gisela Anton, Carlos A. Argüelles, Spencer Axani, Xinhua Bai, Aswathi Balagopal V., Anastasia Maria Barbano, Steven W. Barwick, Benjamin Bastian, Vedant Basu, Volker Baum, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, Chiara Bellenghi, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot
, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, Alexander Burgman, Raffaela S. Busse, Michael A. Campana
, Chujie Chen, Dmitry Chirkin, S. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, Janet Marie Conrad, Paul Coppin
, Pablo Correa
, Doug F. Cowen, R. Cross, Pranav Dave, Catherine De Clercq
, James DeLaunay, Hans Dembinski, Kunal Deoskar, Sam De Ridder, Abhishek Desai, Paolo Desiati, Krijn D. de Vries
, Gwenhaël de Wasseige, Meike de With, Tyce DeYoung, Sukeerthi Dharani, Alejandro Diaz, Juan Carlos Díaz-Vélez, Hrvoje Dujmovic, Matthew Dunkman, Michael A. DuVernois, Emily Dvorak, Thomas Ehrhardt, Philipp Eller, Ralph Engel, John Evans, Paul A. Evenson, S. Fahey, Ali R. Fazely, Sebastian Fiedlschuster, Aaron Fienberg, Kirill Filimonov, Chad Finley, Leander Fischer, Derek Fox, Anna Franckowiak
, Elizabeth Friedman, Alexander Fritz, Philipp Fürst, Thomas K. Gaisser, Joseph S. Gallagher, Erik Ganster, Simone Garrappa:
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. CoRR abs/2101.11589 (2021) - Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek:
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR abs/2106.13497 (2021) - Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder:
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR abs/2110.12357 (2021) - 2020
- Penny Chong, Yuval Elovici, Alexander Binder
:
User Authentication Based on Mouse Dynamics Using Deep Neural Networks: A Comprehensive Study. IEEE Trans. Inf. Forensics Secur. 15: 1086-1101 (2020) - Ivan Homoliak, Dominik Breitenbacher, Ondrej Hujnak, Pieter H. Hartel, Alexander Binder
, Pawel Szalachowski:
SmartOTPs: An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets. AFT 2020: 145-162 - Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong
, Sai-Kit Yeung, Alexander Binder
:
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. ECCV (24) 2020: 103-118 - Lukas Ruff, Robert A. Vandermeulen
, Nico Görnitz, Alexander Binder
, Emmanuel Müller, Klaus-Robert Müller, Marius Kloft:
Deep Semi-Supervised Anomaly Detection. ICLR 2020 - Gary S. W. Goh, Sebastian Lapuschkin
, Leander Weber, Wojciech Samek, Alexander Binder
:
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. ICPR 2020: 4949-4956 - Jiamei Sun, Sebastian Lapuschkin
, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
:
Explanation-Guided Training for Cross-Domain Few-Shot Classification. ICPR 2020: 7609-7616 - Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
:
Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. ICPR 2020: 7587-7594 - Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. IJCNN 2020: 1-9 - Maximilian Kohlbrenner, Alexander Bauer, Shinichi Nakajima, Alexander Binder
, Wojciech Samek, Sebastian Lapuschkin
:
Towards Best Practice in Explaining Neural Network Decisions with LRP. IJCNN 2020: 1-7 - Nikolaus Binder, Sascha Fricke, Alexander Keller:
Massively Parallel Path Space Filtering. MCQMC 2020: 149-168 - Christoph Binder, Michael Fischinger, Christian Neureiter, Goran Lastro, Katharina Polanec, Jounes-Alexander Gross:
Towards a Tool-Based Approach for Dynamically Generating Co-Simulation Scenarios based on complex Smart Grid System Architectures. SoSE 2020: 199-204 - Philipp Seegerer
, Alexander Binder
, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller:
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. AI and ML for Digital Pathology 2020: 16-37 - Jiamei Sun, Sebastian Lapuschkin
, Wojciech Samek, Alexander Binder
:
Understanding Image Captioning Models beyond Visualizing Attention. CoRR abs/2001.01037 (2020) - Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
:
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification. CoRR abs/2001.08873 (2020) - Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder
:
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information. CoRR abs/2002.02634 (2020) - Gary S. W. Goh, Sebastian Lapuschkin, Leander Weber
, Wojciech Samek, Alexander Binder
:
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution. CoRR abs/2004.10484 (2020) - Jiamei Sun, Sebastian Lapuschkin, Wojciech Samek, Yunqing Zhao, Ngai-Man Cheung, Alexander Binder
:
Explanation-Guided Training for Cross-Domain Few-Shot Classification. CoRR abs/2007.08790 (2020) - Lin Geng Foo, Alexander Binder:
Lymphocyte counting - Error Analysis of Regression versus Bounding Box Detection Approaches. CoRR abs/2007.10817 (2020) - Penny Chong, Yuval Elovici, Alexander Binder:
Deja vu from the SVM Era: Example-based Explanations with Outlier Detection. CoRR abs/2011.05577 (2020) - Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder:
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. CoRR abs/2012.06330 (2020) - 2019
- Lei Shi
, Zhiyang Teng
, Le Wang, Yue Zhang
, Alexander Binder
:
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction. IEEE Trans. Knowl. Data Eng. 31(6): 1094-1108 (2019) - Markus Binder, Bernd Heinrich, Mathias Klier, Andreas Alexander Obermeier, Alexander Schiller:
Explaining the Stars: Aspect-based Sentiment Analysis of Online Customer Reviews. ECIS 2019 - Jaka Pribosek
, Markus Zauner, Jochen Bardong, Alfred Binder, Paul Maierhofer, Alexander Bergmann
, Georg Röhrer:
Vacuum-assisted selective adhesive imprinting for heterogeneous system integration of MOEMS devices : Automated assembly of miniaturized PM sensor. IEEE SENSORS 2019: 1-3 - Jiamei Sun, Alexander Binder
:
Generalized PatternAttribution for Neural Networks with Sigmoid Activations. IJCNN 2019: 1-9 - Yi Xiang Marcus Tan, Alfonso Iacovazzi
, Ivan Homoliak
, Yuval Elovici, Alexander Binder
:
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. IJCNN 2019: 1-10 - Lucas Y. W. Hui, Alexander Binder
:
BatchNorm Decomposition for Deep Neural Network Interpretation. IWANN (2) 2019: 280-291