Maria Nisheva

发表

Machine Learning Techniques for Survival Time Prediction in Breast Cancer

Dimitar Vassilev, Iliyan Mihaylov, Maria Nisheva, 2018, AIMSA.

Using neural networks to filter predicted errors in NGS data

Dimitar Vassilev, Deyan Peychev, Maria Nisheva, 2015 .

Predicting and Scoring Links in Anatomical Ontology Mapping

Peter Petrov, Dimitar Vassilev, Maria Nisheva, 2012 .

Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets

Dimitar Vassilev, Maria Nisheva, Milko Krachunov, 2018, AIMSA.

Computer algebra system for continued fractions manipulation

Maria Nisheva, V. Tomov, T. Tonev, 1987, EUROCAL.

Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets

Dimitar Vassilev, Maria Nisheva, Milko Krachunov, 2017, Comput..

Machine learning models in error and variant detection in high-variation high-throughput sequencing datasets

Dimitar Vassilev, Maria Nisheva, Milko Krachunov, 2017, ICCS.

Machine Learning Models for Error Detection in Metagenomics and Polyploid Sequencing Data

Dimitar Vassilev, Maria Nisheva, Milko Krachunov, 2019, Inf..

Manageable Workflows for Processing Parallel Sequencing Data

Dimitar Vassilev, Maria Nisheva, Milko Krachunov, 2014 .

Validity of Automated Inferences in Mapping of Anatomical Ontologies

Peter Petrov, Dimitar Vassilev, Maria Nisheva, 2017, ISMIS.

Application of Machine Learning Models for Survival Prognosis in Breast Cancer Studies

Dimitar Vassilev, Iliyan Mihaylov, Maria Nisheva, 2019, Inf..

Filters in Convolutional Neural Networks as Independent Detectors of Visual Concepts

Dimo Dimov, Maria Nisheva, Anton Hristov, 2019, CompSysTech.

Quality of Different Machine Learning Models in Error Discovery for Parallel Genome Sequencing

Dimitar Vassilev, Maria Nisheva, Milko Krachunov, 2018 .