Bioinformatics
Large Scale Multiple Kernel Learning
The Journal of Machine Learning Research
The Need for Open Source Software in Machine Learning
The Journal of Machine Learning Research
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
The Journal of Machine Learning Research
A hybrid supervised-unsupervised vocabulary generation algorithm for visual concept recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Spatial codebooks for image categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
lp-Norm Multiple Kernel Learning
The Journal of Machine Learning Research
Improving stock market prediction by integrating both market news and stock prices
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
On the spatial extents of SIFT descriptors for visual concept detection
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Trajectories based descriptor for dynamic events annotation
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Scikit-learn: Machine Learning in Python
The Journal of Machine Learning Research
T-cell epitope prediction based on self-tolerance
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics
Computers in Biology and Medicine
Leveraging sequence classification by taxonomy-based multitask learning
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Expert Systems with Applications: An International Journal
ML-Flex: a flexible toolbox for performing classification analyses in parallel
The Journal of Machine Learning Research
Non-sparse multiple kernel fisher discriminant analysis
The Journal of Machine Learning Research
Multimodal video concept detection via bag of auditory words and multiple kernel learning
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
On Taxonomies for Multi-class Image Categorization
International Journal of Computer Vision
Jstacs: a java framework for statistical analysis and classification of biological sequences
The Journal of Machine Learning Research
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
A space-based generic pattern for self-initiative load clustering agents
COORDINATION'12 Proceedings of the 14th international conference on Coordination Models and Languages
Online pose classification and walking speed estimation using handheld devices
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Improving malware classification: bridging the static/dynamic gap
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Efficient training of graph-regularized multitask SVMs
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Mining large-scale smartphone data for personality studies
Personal and Ubiquitous Computing
Enhanced representation and multi-task learning for image annotation
Computer Vision and Image Understanding
MLPACK: a scalable C++ machine learning library
The Journal of Machine Learning Research
DARWIN: a framework for machine learning and computer vision research and development
The Journal of Machine Learning Research
Selective Search for Object Recognition
International Journal of Computer Vision
Discriminative fusion of shape and appearance features for human pose estimation
Pattern Recognition
Tapkee: an efficient dimension reduction library
The Journal of Machine Learning Research
A framework for improved video text detection and recognition
Multimedia Tools and Applications
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We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers a considerable number of machine learning models such as support vector machines, hidden Markov models, multiple kernel learning, linear discriminant analysis, and more. Most of the specific algorithms are able to deal with several different data classes. We have used this toolbox in several applications from computational biology, some of them coming with no less than 50 million training examples and others with 7 billion test examples. With more than a thousand installations worldwide, SHOGUN is already widely adopted in the machine learning community and beyond. SHOGUN is implemented in C++ and interfaces to MATLABTM, R, Octave, Python, and has a stand-alone command line interface. The source code is freely available under the GNU General Public License, Version 3 at http://www.shogun-toolbox.org.