Alexander Binder

According to our database1, Alexander Binder authored at least 39 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction.
IEEE Trans. Knowl. Data Eng., 2019

BatchNorm Decomposition for Deep Neural Network Interpretation.
Proceedings of the Advances in Computational Intelligence, 2019

2018
Detection of Masqueraders Based on Graph Partitioning of File System Access Events.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn?
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Deep One-Class Classification.
Proceedings of the 35th International Conference on Machine Learning, 2018

Corplab INLI@FIRE-2018: Identification of Indian Native Language using Pairwise Coupling.
Proceedings of the Working Notes of FIRE 2018, 2018

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Evaluating the Visualization of What a Deep Neural Network Has Learned.
IEEE Trans. Neural Netw. Learning Syst., 2017

Explaining nonlinear classification decisions with deep Taylor decomposition.
Pattern Recognition, 2017

Understanding and Comparing Deep Neural Networks for Age and Gender Classification.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Object Boundary Detection and Classification with Image-Level Labels.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
The LRP Toolbox for Artificial Neural Networks.
Journal of Machine Learning Research, 2016

Controlling explanatory heatmap resolution and semantics via decomposition depth.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Analyzing Classifiers: Fisher Vectors and Deep Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Localized Multiple Kernel Learning - A Convex Approach.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Extracting latent brain states - Towards true labels in cognitive neuroscience experiments.
NeuroImage, 2015

Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Theory and Algorithms for the Localized Setting of Learning Kernels.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

2014
Machine Learning for Visual Concept Recognition and Ranking for Images.
Proceedings of the Towards the Internet of Services: The THESEUS Research Program, 2014

Multi-modal identification and tracking of vehicles in partially observed environments.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

Learning and Evaluation in Presence of Non-i.i.d. Label Noise.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Bag of Machine Learning Concepts for Visual Concept Recognition in Images.
PhD thesis, 2013

Enhanced representation and multi-task learning for image annotation.
Computer Vision and Image Understanding, 2013

Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013

Multiple Kernel Learning for Brain-Computer Interfacing.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
On Taxonomies for Multi-class Image Categorization.
International Journal of Computer Vision, 2012

2011
Multi-modal visual concept classification of images via Markov random walk over tags.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

The Joint Submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the ImageCLEF2011 Photo Annotation Task.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

Multi-task Learning via Non-sparse Multiple Kernel Learning.
Proceedings of the Computer Analysis of Images and Patterns, 2011

2010
The SHOGUN Machine Learning Toolbox.
Journal of Machine Learning Research, 2010

Enhancing Image Classification with Class-wise Clustered Vocabularies.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Shrinking large visual vocabularies using multi-label agglomerative information bottleneck.
Proceedings of the International Conference on Image Processing, 2010

A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Fraunhofer FIRST's Submission to ImageCLEF2009 Photo Annotation Task: Non-sparse Multiple Kernel Learning.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

A procedure of adaptive kernel combination with kernel-target alignment for object classification.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

Efficient Classification of Images with Taxonomies.
Proceedings of the Computer Vision, 2009


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