Computer algebra system for continued fractions manipulation. - V. Tomov; Maria Nisheva; T. Tonev (EUROCAL, 1987)

Tools for Intelligent Search in Collections of Digitized Manuscripts. - Maria Nisheva-Pavlova; Pavel Pavlov (ELPUB, 2005)

Knowledge-Based Search in Collections of Digitized Manuscripts: First Results. - Pavel Pavlov; Maria Nisheva-Pavlova (ELPUB, 2006)

Digitisation and Access to Archival Collections: A Case Study of the Sofia Municipal Government (1878-1879). - Maria Nisheva-Pavlova; Pavel Pavlov; Nikolay Markov; Maya Nedeva (ELPUB, 2007)

Alignment of Heterogeneous Ontologies: A Practical Approach to Testing for Similarities and Discrepancies. - Neli P. Zlatareva; Maria Nisheva-Pavlova (FLAIRS, 2008)

Building a Digital Library with Learning Materials. - Maria Nisheva-Pavlova; Pavel Pavlov (ELPUB, 2009)

Search Engine in a Class of Academic Digital Libraries. - Maria Nisheva-Pavlova; Pavel Pavlov (ELPUB, 2010)

Semantic Search in a Digital Library with Bulgarian Folk Songs. - Maria Nisheva-Pavlova; Pavel Iliev Pavlov (ELPUB, 2011)

Ontology-based search and document retrieval in a digital library with folk songs. - Maria Nisheva-Pavlova; Pavel Pavlov (Inf. Serv. Use, 2011)

Building a Social Semantic Digital Library. - Pavel Pavlov; Maria Nisheva-Pavlova; Dicho Shukerov (ELPUB, 2015)

Fuzzy indication of reliability in metagenomics NGS data analysis. - Milko Krachunov; Dimitar Vassilev; Maria Nisheva-Pavlova; Ognyan Kulev; Valeriya Simeonova; Vladimir Dimitrov 001 (ICCS, 2015)

Design and implementation of a social semantic digital library. - Maria Nisheva-Pavlova; Dicho Shukerov; Pavel Pavlov (Inf. Serv. Use, 2015)

Big Data Techniques, Systems, Applications, and Platforms: Case Studies from Academia. - Atanas Radenski; Todor V. Gurov; Kalinka Kaloyanova; Nikolay Kirov; Maria Nisheva-Pavlova; Peter Stanchev; Eugenia Stoimenova (FedCSIS, 2016)

Machine learning models in error and variant detection in high-variation high-throughput sequencing datasets. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (ICCS, 2017)

Validity of Automated Inferences in Mapping of Anatomical Ontologies. - Milko Krachunov; Peter Petrov; Maria Nisheva; Dimitar Vassilev (ISMIS, 2017)

Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (Comput., 2017)

Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (AIMSA, 2018)

Machine Learning Techniques for Survival Time Prediction in Breast Cancer. - Iliyan Mihaylov; Maria Nisheva; Dimitar Vassilev (AIMSA, 2018)

GLOBDEF: A Framework for Dynamic Pipelines of Semantic Data Enrichment Tools. - Maria Nisheva-Pavlova; Asen Alexandrov (MTSR, 2018)

Filters in Convolutional Neural Networks as Independent Detectors of Visual Concepts. - Anton Hristov; Maria Nisheva; Dimo Dimov 001 (CompSysTech, 2019)

An Approach for Semantic Data Integration in Cancer Studies. - Iliyan Mihaylov; Maria Nisheva-Pavlova; Dimitar Vassilev (ICCS (3), 2019)

Machine Learning Models for Error Detection in Metagenomics and Polyploid Sequencing Data. - Milko Krachunov; Maria Nisheva; Dimitar Vassilev (Inf., 2019)

Application of Machine Learning Models for Survival Prognosis in Breast Cancer Studies. - Iliyan Mihaylov; Maria Nisheva; Dimitar Vassilev (Inf., 2019)

Extending the GLOBDEF framework with support for semantic enhancement of various data formats. - Maria Nisheva-Pavlova; Asen Alexandrov (Int. J. Metadata Semant. Ontologies, 2020)

AI Courses for Secondary and High School - Comparative Analysis and Conclusions. - Maria Nisheva-Pavlova (ERIS, 2021)

Ontology-Based Decision Support System for Dietary Recommendations for Type 2 Diabetes Mellitus. - Maria Nisheva-Pavlova; Iliyan Mihaylov; Stoian Hadzhiyski; Dimitar Vassilev (ICCS (3), 2021)

Building an intelligent system for answering specialized questions about COVID-19. - Bilyana Dobreva; Maria Nisheva-Pavlova (CENTERIS/ProjMAN/HCist, 2022)

Small Data and Data Centric AI: Case Study from the Master's Program in Artificial Intelligence at Sofia University. - Maria Nisheva-Pavlova; Bilyana Dobreva (ISGT, 2022)

Towards Building an AI Curriculum for High School Students (short paper). - Maria Nisheva-Pavlova (ISGT, 2022)

The power of integrating multiple data sources in medical imaging: A study of MGMT methylation status. - Mariya Miteva; Maria Nisheva-Pavlova (CENTERIS/ProjMAN/HCist, 2023)

An Approach to Discovering, Tracking Over Time, and Summarizing Publicly Available Information on a Given Topic. - Alexandrina Karakehayova; Maria Nisheva-Pavlova (AIMSA, 2024)

Clinical and Acquisition Data for Optimizing MGMT Methylation Status Prediction: A Comprehensive Ensemble Strategy Emphasizing Non-invasive Approaches. - Mariya Miteva; Maria Nisheva-Pavlova (AIMSA, 2024)