Alexander Binder
13 papers · 2010–2024 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🗃️
Keyword Collector
(50)
📈
Trend Setter
💎
Century Club · Bronze
❓
The Questioner
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(7)
Optimization & Theory
(5)
Computer Vision
(4)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Analysis
(2)
Architectures
(2)
Core AI
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Domain-Specific
(1)
Learning Types · Deep Learning
(1)
Keywords
support vector machine
(2)
anomaly detection
(2)
neural network
(2)
support vector data description
(2)
deep learning
(2)
multiple kernel learning
(2)
layer-wise relevance propagation
(2)
convex optimization
(1)
entropy minimization
(1)
adversarial robustness
(1)
brain-computer interface
(1)
label noise
(1)
reproducing kernel hilbert space
(1)
large-scale learning
(1)
cluster structure
(1)
feature attribution
(1)
eeg signal processing
(1)
explainable ai
(1)
multi-class classification
(1)
linear discriminant analysis
(1)
Papers
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
NeurIPS 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
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
CVPR 2016
Localized Multiple Kernel Learning—A Convex Approach
ACML 2016
The LRP Toolbox for Artificial Neural Networks
JMLR 2016
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
NeurIPS 2015
Learning and Evaluation in Presence of Non-i.i.d. Label Noise
AISTATS 2014
The SHOGUN Machine Learning Toolbox
JMLR 2010