Recognition of Colorectal Carcinogenic Tissue with Gene Expression Analysis Using Bayesian Probability. - Monika Simjanoska; Ana Madevska Bogdanova; Zaneta Popeska (ICT Innovations, 2012)

Optimal Resource Allocation to Host Web Services in Cloud. - Marjan Gusev; Sasko Ristov; Goran Velkoski; Monika Simjanoska (IEEE CLOUD, 2013)

L3B: Low level load balancer in the cloud. - Monika Simjanoska; Sasko Ristov; Goran Velkoski; Marjan Gusev (EUROCON, 2013)

CPU utilization in a multitenant cloud. - Goran Velkoski; Monika Simjanoska; Sasko Ristov; Marjan Gusev (EUROCON, 2013)

Bayesian Multiclass Classification of Gene Expression Colorectal Cancer Stages. - Monika Simjanoska; Ana Madevska Bogdanova; Zaneta Popeska (ICT Innovations, 2013)

Gene Ontology Analysis of Colorectal Cancer Biomarkers Probed with Affymetrix and Illumina Microarrays. - Monika Simjanoska; Ana Madevska Bogdanova; Sasho Panov (IJCCI, 2013)

Does the performance scale the same as the cost in the cloud. - Monika Simjanoska; Goran Velkoski; Sasko Ristov; Marjan Gusev (ITI, 2013)

Scaling the Performance and Cost for Elastic Cloud Web Services. - Monika Simjanoska; Marjan Gusev; Sasko Ristov; Goran Velkoski (J. Comput. Inf. Technol., 2013)

Generative Modelling and Classification of Students' E-Learning and E-Assessment Results. - Monika Simjanoska; Sasko Ristov; Marjan Gusev (CICSyN, 2014)

Intelligent student profiling for predicting e-Assessment outcomes. - Monika Simjanoska; Marjan Gusev; Sasko Ristov; Ana Madevska Bogdanova (EDUCON, 2014)

Novel Methodology for CRC Biomarkers Detection with Leave-One-Out Bayesian Classification. - Monika Simjanoska; Ana Madevska Bogdanova (ICT Innovations, 2014)

Intelligent modelling for predicting students' final grades. - Monika Simjanoska; Marjan Gusev; Ana Madevska Bogdanova (MIPRO, 2014)

Novel Connected Health Interoperable Layered (CHIL) Model. - Monika Simjanoska; Jugoslav Achkoski; Ana Madevska Bogdanova; Vladimir Trajkovik (ICT Innovations, 2015)

PPMaaS: performance-based pricing model as a service. - Monika Simjanoska; Sasko Ristov; Marjan Gusev; Goran Velkoski (Int. J. Reason. based Intell. Syst., 2015)

Information System for Biosensors Data Exchange in Healthcare. - Monika Simjanoska; Bojana Koteska; Magdalena Kostoska; Ana Madevska Bogdanova; Nevena Ackovska; Vladimir Trajkovik (ICT Innovations, 2016)

Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers. - Martin Gjoreski; Monika Simjanoska; Anton Gradisek; Ana Peterlin; Matjaz Gams; Gregor Poglajen (Intelligent Environments, 2017)

ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning. - Monika Simjanoska; Martin Gjoreski; Ana Madevska Bogdanova; Bojana Koteska; Matjaz Gams; Jurij F. Tasic (HEALTHINF, 2018)

Medical Real-Time Data Analytics System Design Aspects, Reference Architecture and Evaluation. - Magdalena Kostoska; Monika Simjanoska; Bojana Koteska; Ana Madevska Bogdanova (ICT Innovations, 2018)

Novel Data Processing Approach for Deriving Blood Pressure from ECG Only. - Monika Simjanoska; Martin Gjoreski; Matjaz Gams; Ana Madevska Bogdanova (ICT Innovations, 2018)

Quantitative Quality Analysis of Scientific Software - Case Study. - Bojana Koteska; Monika Simjanoska; Anastas Mishev (SQAMIA, 2018)

Real-time smart advisory health system. - Magdalena Kostoska; Monika Simjanoska; Bojana Koteska; Ana Madevska Bogdanova (WIMS, 2018)

Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques. - Monika Simjanoska; Martin Gjoreski; Matjaz Gams; Ana Madevska Bogdanova (Sensors, 2018)

Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques. - Antonio Antovski; Stefani Kostadinovska; Monika Simjanoska; Tome Eftimov; Nevena Ackovska; Ana Madevska Bogdanova (BIOINFORMATICS, 2019)

Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification. - Monika Simjanoska; Gregor Papa; Barbara Korousic-Seljak; Tome Eftimov (BIOSIGNALS, 2019)

ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification. - Monika Simjanoska; Gregor Papa; Barbara Korousic-Seljak; Tome Eftimov (BIOSTEC (Selected Papers), 2019)

LoCLoP: Low-cost/Low-processing Power Methodology for Deriving Heart Rate and Respiratory Rate in Time-critical Domain. - Monika Simjanoska; Bojana Koteska; Ana Madevska Bogdanova; Nevena Ackovska; Vladimir Trajkovik; Magdalena Kostoska; Fedor Lehocki (EUROCON, 2019)

Unit and Performance Testing of Scientific Software Using MATLAB. - Bojana Koteska; Monika Simjanoska; Ivana Jacheva; Frosina Krsteska; Anastas Mishev (SQAMIA, 2019)

What Clinics are Expecting From Data Scientists? A Review on Data Oriented Studies Through Qualitative and Quantitative Approaches. - Lina Xu; Monika Simjanoska; Bojana Koteska; Vladimir Trajkovik; Ana Madevska Bogdanova; Kristina Drusany Staric; Fedor Lehocki (IEEE Access, 2019)

A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by using Time-series Feature Extraction. - Stefan Kochev; Neven Stevchev; Svetlana Kocheva; Tome Eftimov; Monika Simjanoska (BIOSIGNALS, 2020)

Gene Co-expression Analysis for Lung Cancer Biomarkers Detection. - Stefani Kostadinovska; Slobodan Kalajdziski; Monika Simjanoska (BIOINFORMATICS, 2020)

Trends from Minimally Invasive to Non-invasive Glucose Measurements. - Marjan Gushev; Lidija Poposka; E. Guseva; Magdalena Kostoska; Bojana Koteska; Monika Simjanoska; Nevena Ackovska; Aleksandar Stojmenski (MIPRO, 2020)

Multi-level information fusion for learning a blood pressure predictive model using sensor data. - Monika Simjanoska; Stefan Kochev; Jovan Tanevski; Ana Madevska Bogdanova; Gregor Papa; Tome Eftimov (Inf. Fusion, 2020)

Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability. - Marjan Gusev; Lidija Poposka; Gjoko Spasevski; Magdalena Kostoska; Bojana Koteska; Monika Simjanoska; Nevena Ackovska; Aleksandar Stojmenski; Jurij F. Tasic; Janez Trontelj 001 (J. Sensors, 2020)

MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification. - Teodora Gerasimoska; Milka Ljoncheva; Monika Simjanoska (BIOINFORMATICS, 2021)

Finding Potential Inhibitors of COVID-19. - Angela Kralevska; Marija Velichkovska; Viktor Cicimov; Tome Eftimov; Monika Simjanoska (BIOINFORMATICS, 2021)

Assistive e-Learning Software Modules to Aid Education Process of Students with Visual and Hearing Impairment: A Case Study in North Macedonia. - Kostadin Mishev; Aleksandra Karovska Ristovska; Olivera Rashikj-Canevska; Monika Simjanoska (ICT Innovations, 2021)

Data-Driven Intelligence System for General Recommendations of Deep Learning Architectures. - Gjorgji Noveski; Tome Eftimov; Kostadin Mishev; Monika Simjanoska (IEEE Access, 2021)

xAMR: Cross-lingual AMR End-to-End Pipeline. - Maja Mitreska; Tashko Pavlov; Kostadin Mishev; Monika Simjanoska (DeLTA, 2022)

MACEDONIZER - The Macedonian Transformer Language Model. - Jovana Dobreva; Tashko Pavlov; Kostadin Mishev; Monika Simjanoska; Stojancho Tudzarski; Dimitar Trajanov; Ljupcho Kocarev (ICT Innovations, 2022)

NLP-based Typo Correction Model for Croatian Language. - Maja Mitreska; Kostadin Mishev; Monika Simjanoska (MIPRO, 2022)

Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language. - Konstantin Bogdanoski; Kostadin Mishev; Monika Simjanoska; Dimitar Trajanov (DeLTA, 2023)

MakedonASRDataset - A Dataset for Speech Recognition in the Macedonian Language. - Martin Mishev; Blagica Penkova; Maja Mitreska; Magdalena Kostoska; Ana Todorovska; Monika Simjanoska; Kostadin Mishev (ICT Innovations, 2023)

Explainable Machine Learning Unveils Novel Insights into Breast Cancer Metastases Sites Bio-Markers. - Milena Trajanoska; Viktorija Mijalcheva; Monika Simjanoska (ICT Innovations, 2023)

Learning Translation Model to Translate Croatian Dialects to Modern Croatian Language. - Blagica Penkova; Maja Mitreska; Kiril Ristov; Kostadin Mishev; Monika Simjanoska (MIPRO, 2023)