Monika Simjanoska

发表

Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques

Nevena Ackovska, Tome Eftimov, Ana Madevska Bogdanova, 2019, BIOINFORMATICS.

STRUCTURED DISCRETE FAIR DIVISION ALGORITHM FOR ALLOCATING SUBTASKS WITHIN STUDENT PROJECTS

Ana Madevska Bogdanova, Monika Simjanoska, M. Simjanoska, 2020 .

Gene Co-expression Analysis for Lung Cancer Biomarkers Detection

Slobodan Kalajdziski, Stefani Kostadinovska, Monika Simjanoska, 2020, BIOINFORMATICS.

Information System for Biosensors Data Exchange in Healthcare

Nevena Ackovska, Ana Madevska Bogdanova, Monika Simjanoska, 2016, ICT Innovations.

Scaling the Performance and Cost for Elastic Cloud Web Services

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013, J. Comput. Inf. Technol..

Gene Ontology Analysis of Colorectal Cancer Biomarkers Probed with Affymetrix and Illumina Microarrays

Ana Madevska Bogdanova, Monika Simjanoska, Sasho Panov, 2013, IJCCI.

MAKEDONKA: Applied Deep Learning Model for Text-to-Speech Synthesis in Macedonian Language

Tome Eftimov, Dimitar Trajanov, Monika Simjanoska, 2020, Applied Sciences.

WEB SERVICE CPU OVERUTILIZATION IN THE CLOUD

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013 .

A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by using Time-series Feature Extraction

Tome Eftimov, Monika Simjanoska, Stefan Kochev, 2020, BIOSIGNALS.

Multi-level information fusion for learning a blood pressure predictive model using sensor data

Gregor Papa, Jovan Tanevski, Tome Eftimov, 2020, Inf. Fusion.

Recognition of Colorectal Carcinogenic Tissue with Gene Expression Analysis Using Bayesian Probability

Ana Madevska Bogdanova, Monika Simjanoska, Zaneta Popeska, 2012, ICT Innovations.

International Symposium on Intelligent Manufacturing and Automation , DAAAM 2014 Platform ' s Architecture for Colorectal Cancer Research in the Cloud

Sasko Ristov, Marjan Gusev, Monika Simjanoska, 2015 .

Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers

Anton Gradisek, Matjaz Gams, Martin Gjoreski, 2017, 2017 International Conference on Intelligent Environments (IE).

Optimal Resource Allocation to Host Web Services in Cloud

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

Novel Methodology for CRC Biomarkers Detection with Leave-One-Out Bayesian Classification

Ana Madevska Bogdanova, Monika Simjanoska, M. Simjanoska, 2014, ICT Innovations.

Unit and Performance Testing of Scientific Software Using MATLAB

Monika Simjanoska, Anastas Mishev, Bojana Koteska, 2019, SQAMIA.

Intelligent modelling for predicting students' final grades

Marjan Gusev, Ana Madevska Bogdanova, Monika Simjanoska, 2014, 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

LoCLoP: Low-cost/Low-processing Power Methodology for Deriving Heart Rate and Respiratory Rate in Time-critical Domain

Nevena Ackovska, Ana Madevska Bogdanova, Monika Simjanoska, 2019, IEEE EUROCON 2019 -18th International Conference on Smart Technologies.

Generative Modelling and Classification of Students' E-Learning and E-Assessment Results

Sasko Ristov, Marjan Gusev, Monika Simjanoska, 2014, 2014 Sixth International Conference on Computational Intelligence, Communication Systems and Networks.

CPU utilization in a multitenant cloud

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013, Eurocon 2013.

Bayesian posterior probability classification of colorectal cancer probed with Affymetrix microarray technology

Monika Simjanoska, Zaneta Popeska, Ana Madevska Bogdanova, 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification

Gregor Papa, Tome Eftimov, Monika Simjanoska, 2019, BIOSIGNALS.

Intelligent student profiling for predicting e-Assessment outcomes

Sasko Ristov, Marjan Gusev, Ana Madevska Bogdanova, 2014, 2014 IEEE Global Engineering Education Conference (EDUCON).

ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning

Jurij F. Tasic, Matjaz Gams, Martin Gjoreski, 2018, HEALTHINF.

ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification

Gregor Papa, Tome Eftimov, Monika Simjanoska, 2019, BIOSTEC.

L3B: Low level load balancer in the cloud

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013, Eurocon 2013.

Bayesian Multiclass Classification of Gene Expression Colorectal Cancer Stages

Ana Madevska Bogdanova, Monika Simjanoska, Zaneta Popeska, 2013, ICT Innovations.

Parallelization of Machine Learning Methods by Using CUDA

Goran Velkoski, Monika Simjanoska, Sashko Ristov, 2014 .

Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability

Marjan Gusev, Nevena Ackovska, Monika Simjanoska, 2020, J. Sensors.

Does the performance scale the same as the cost in the cloud

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013, Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces.

Novel Connected Health Interoperable Layered (CHIL) Model

Jugoslav Achkoski, Ana Madevska Bogdanova, Monika Simjanoska, 2015, ICT Innovations.

PPMaaS: performance-based pricing model as a service

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2015, Int. J. Reason. based Intell. Syst..

Medical Real-Time Data Analytics System Design Aspects, Reference Architecture and Evaluation

Ana Madevska Bogdanova, Monika Simjanoska, Bojana Koteska, 2018, ICT Innovations.

Real-time smart advisory health system

Ana Madevska Bogdanova, Monika Simjanoska, Bojana Koteska, 2018, WIMS.

Novel Data Processing Approach for Deriving Blood Pressure from ECG Only

Matjaz Gams, Martin Gjoreski, Ana Madevska Bogdanova, 2018, ICT Innovations.

What Clinics are Expecting From Data Scientists? A Review on Data Oriented Studies Through Qualitative and Quantitative Approaches

Ana Madevska Bogdanova, Monika Simjanoska, Bojana Koteska, 2019, IEEE Access.

Scaling the performance and cost while scaling the load and resources in the cloud

Sasko Ristov, Marjan Gusev, Goran Velkoski, 2013, 2013 36th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Quantitative Quality Analysis of Scientific Software - Case Study

Monika Simjanoska, Anastas Mishev, Bojana Koteska, 2018, SQAMIA.

Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques

Matjaz Gams, Martin Gjoreski, Ana Madevska Bogdanova, 2018, Sensors.

In-depth insights into Alzheimer’s disease by using explainable machine learning approach

Tome Eftimov, Monika Simjanoska, Bojan Bogdanovic, 2021, Scientific Reports.

MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification

Monika Simjanoska, Milka Ljoncheva, Teodora Gerasimoska, 2021, BIOINFORMATICS.

Data-driven Intelligence System for General Recommendations of Deep Learning Architectures

Tome Eftimov, Monika Simjanoska, Kostadin Mishev, 2021, IEEE Access.

Finding Potential Inhibitors of COVID-19

Tome Eftimov, Monika Simjanoska, Angela Kralevska, 2021, BIOINFORMATICS.

Gene Ontology Analysis on Behalf of Improved Classification of Different Colorectal Cancer Stages

Ana Madevska Bogdanova, Monika Simjanoska, Sasho Panov, 2016 .

Mobile wireless monitoring system for prehospital emergency care

Natasa Koceska, Janez Trontelj, Monika Simjanoska, 2019, European Journal of Trauma and Emergency Surgery.

CLASSIFICATION OF COLORECTAL CARCINOGENIC TISSUE WITH DIFFERENT DNA CHIP TECHNOLOGIES

Ana Madevska Bogdanova, Monika Simjanoska, Zaneta Popeska, 2013 .

Automated triage parameters estimation from ECG.

Nevena Ackovska, Ana Madevska Bogdanova, Monika Simjanoska, 2018, Technology and health care : official journal of the European Society for Engineering and Medicine.