Alexander Binder
13 papers · 2010–2024 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🏃 Academic Marathon (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
🧭
Keyword Pioneer
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(8)
🌱
Topic Pioneer
💎
Century Club
(13)
🚀
Conference Pioneer
📈
Trend Setter
❓
The Questioner
Conferences
ECCV (3)
CVPR (2)
JMLR (2)
NIPS (2)
ACML (1)
AISTATS (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
support vector machine
(2)
layer-wise relevance propagation
(2)
support vector data description
(2)
multiple kernel learning
(2)
neural network
(2)
feature attribution
(1)
explainable ai
(1)
domain generalization
(1)
reproducing kernel hilbert space
(1)
label noise
(1)
large-scale learning
(1)
linear discriminant analysis
(1)
multi-class classification
(1)
convex optimization
(1)
one-class svm
(1)
brain-computer interface
(1)
cluster structure
(1)
generalization error bound
(1)
hidden markov model
(1)
eeg signal processing
(1)
Papers
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
NIPS 2024
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
CVPR 2023
Discovering Transferable Forensic Features for CNN-Generated Images Detection
ECCV 2022
Deep Semi-Supervised Anomaly Detection
ICLR 2020
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
ECCV 2020
Deep One-Class Classification
ICML 2018
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data
ECCV 2018
The LRP Toolbox for Artificial Neural Networks
JMLR 2016
Localized Multiple Kernel Learning—A Convex Approach
ACML 2016
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
CVPR 2016
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
NIPS 2015
Learning and Evaluation in Presence of Non-i.i.d. Label Noise
AISTATS 2014
The SHOGUN Machine Learning Toolbox
JMLR 2010