Pavel P. Kuksa
According to our database1, Pavel P. Kuksa authored at least 25 papers between 2007 and 2019.
Legend:Book In proceedings Article PhD thesis Other
DASHR 2.0: integrated database of human small non-coding RNA genes and mature products.
SPAR: small RNA-seq portal for analysis of sequencing experiments.
Nucleic Acids Research, 2018
DASHR: database of small human noncoding RNAs.
Nucleic Acids Research, 2016
High-order neural networks and kernel methods for peptide-MHC binding prediction.
HIPPIE: a high-throughput identification pipeline for promoter interacting enhancer elements.
Efficient multivariate sequence classification.
Biological Sequence Classification with Multivariate String Kernels.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013
Generalized Similarity Kernels for Efficient Sequence Classification.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Efficient evaluation of large sequence kernels.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
2D similarity kernels for biological sequence classification.
Proceedings of the 11th International Workshop on Data Mining in Bioinformatics, 2012
Natural Language Processing (Almost) from Scratch.
Journal of Machine Learning Research, 2011
Natural Language Processing (almost) from Scratch
Efficient motif finding algorithms for large-alphabet inputs.
BMC Bioinformatics, 2010
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning.
Proceedings of the SIAM International Conference on Data Mining, 2010
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Spatial Representation for Efficient Sequence Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Efficient alignment-free DNA barcode analytics.
BMC Bioinformatics, 2009
Efficient use of unlabeled data for protein sequence classification: a comparative study.
BMC Bioinformatics, 2009
Semi-Supervised Sequence Labeling with Self-Learned Features.
Proceedings of the ICDM 2009, 2009
Combining labeled and unlabeled data with word-class distribution learning.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
Fast Motif Selection for Biological Sequences.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
Scalable Algorithms for String Kernels with Inexact Matching.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Fast protein homology and fold detection with sparse spatial sample kernels.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
On the Role of Local Matching for Efficient Semi-supervised Protein Sequence Classification.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008
Fast Kernel Methods for SVM Sequence Classifiers.
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007