Pavel P. Kuksa

Orcid: 0000-0003-2248-6403

According to our database1, Pavel P. Kuksa authored at least 26 papers between 2007 and 2023.

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Bibliography

2023
hipFG: high-throughput harmonization and integration pipeline for functional genomics data.
Bioinform., November, 2023

2020
SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants.
Bioinform., 2020

2019
DASHR 2.0: integrated database of human small non-coding RNA genes and mature products.
Bioinform., 2019

2018
SPAR: small RNA-seq portal for analysis of sequencing experiments.
Nucleic Acids Res., 2018

2016
DASHR: database of small human noncoding RNAs.
Nucleic Acids Res., 2016

2015
High-order neural networks and kernel methods for peptide-MHC binding prediction.
Bioinform., 2015

HIPPIE: a high-throughput identification pipeline for promoter interacting enhancer elements.
Bioinform., 2015

2014
Efficient multivariate sequence classification.
CoRR, 2014

2013
Biological Sequence Classification with Multivariate String Kernels.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012
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

2011
Natural Language Processing (Almost) from Scratch.
J. Mach. Learn. Res., 2011

2010
Efficient motif finding algorithms for large-alphabet inputs.
BMC Bioinform., 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

2009
Efficient alignment-free DNA barcode analytics.
BMC Bioinform., 2009

Efficient use of unlabeled data for protein sequence classification: a comparative study.
BMC Bioinform., 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

2008
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

2007
Fast Kernel Methods for SVM Sequence Classifiers.
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007


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