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ORCIDMonika Simjanoska
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2020 – today
- 2023
[c37]Konstantin Bogdanoski
, Kostadin Mishev, Monika Simjanoska, Dimitar Trajanov:
Exploring ASR Models in Low-Resource Languages: Use-Case the Macedonian Language. DeLTA 2023: 254-268- [c36]Martin Mishev, Blagica Penkova, Maja Mitreska, Magdalena Kostoska, Ana Todorovska, Monika Simjanoska, Kostadin Mishev:
MakedonASRDataset - A Dataset for Speech Recognition in the Macedonian Language. ICT Innovations 2023: 19-27 - [c35]Milena Trajanoska, Viktorija Mijalcheva, Monika Simjanoska:
Explainable Machine Learning Unveils Novel Insights into Breast Cancer Metastases Sites Bio-Markers. ICT Innovations 2023: 31-45 - [c34]Blagica Penkova, Maja Mitreska, Kiril Ristov, Kostadin Mishev, Monika Simjanoska:
Learning Translation Model to Translate Croatian Dialects to Modern Croatian Language. MIPRO 2023: 1083-1088 - 2022
- [c33]Maja Mitreska, Tashko Pavlov, Kostadin Mishev, Monika Simjanoska:
xAMR: Cross-lingual AMR End-to-End Pipeline. DeLTA 2022: 132-139 - [c32]Jovana Dobreva, Tashko Pavlov, Kostadin Mishev, Monika Simjanoska, Stojancho Tudzarski, Dimitar Trajanov, Ljupcho Kocarev:
MACEDONIZER - The Macedonian Transformer Language Model. ICT Innovations 2022: 51-62 - [c31]Maja Mitreska, Kostadin Mishev, Monika Simjanoska:
NLP-based Typo Correction Model for Croatian Language. MIPRO 2022: 942-947 - 2021
- [j7]Gjorgji Noveski, Tome Eftimov, Kostadin Mishev, Monika Simjanoska:
Data-Driven Intelligence System for General Recommendations of Deep Learning Architectures. IEEE Access 9: 148710-148720 (2021) - [c30]Angela Kralevska, Marija Velichkovska, Viktor Cicimov, Tome Eftimov, Monika Simjanoska:
Finding Potential Inhibitors of COVID-19. BIOINFORMATICS 2021: 110-117 - [c29]Teodora Gerasimoska, Milka Ljoncheva, Monika Simjanoska:
MSL-ST: Development of Mass Spectral Library Search Tool to Enhance Compound Identification. BIOINFORMATICS 2021: 195-203 - [c28]Kostadin Mishev, Aleksandra Karovska Ristovska, Olivera Rashikj-Canevska, Monika Simjanoska:
Assistive e-Learning Software Modules to Aid Education Process of Students with Visual and Hearing Impairment: A Case Study in North Macedonia. ICT Innovations 2021: 145-159 - 2020
- [j6]Monika Simjanoska, Stefan Kochev, Jovan Tanevski, Ana Madevska Bogdanova, Gregor Papa, Tome Eftimov:
Multi-level information fusion for learning a blood pressure predictive model using sensor data. Inf. Fusion 58: 24-39 (2020) - [j5]Marjan Gusev, Lidija Poposka, Gjoko Spasevski, Magdalena Kostoska, Bojana Koteska, Monika Simjanoska, Nevena Ackovska, Aleksandar Stojmenski, Jurij F. Tasic, Janez Trontelj:
Noninvasive Glucose Measurement Using Machine Learning and Neural Network Methods and Correlation with Heart Rate Variability. J. Sensors 2020: 9628281:1-9628281:13 (2020) - [c27]Stefani Kostadinovska, Slobodan Kalajdziski, Monika Simjanoska:
Gene Co-expression Analysis for Lung Cancer Biomarkers Detection. BIOINFORMATICS 2020: 60-67 - [c26]Stefan Kochev, Neven Stevchev, Svetlana Kocheva, Tome Eftimov, Monika Simjanoska:
A Novel Approach for Modelling the Relationship between Blood Pressure and ECG by using Time-series Feature Extraction. BIOSIGNALS 2020: 228-235 - [c25]Marjan Gushev, Lidija Poposka, E. Guseva, Magdalena Kostoska, Bojana Koteska, Monika Simjanoska, Nevena Ackovska, Aleksandar Stojmenski:
Trends from Minimally Invasive to Non-invasive Glucose Measurements. MIPRO 2020: 315-320
2010 – 2019
- 2019
- [j4]Lina Xu, Monika Simjanoska, Bojana Koteska, Vladimir Trajkovik, Ana Madevska Bogdanova, Kristina Drusany Staric, Fedor Lehocki:
What Clinics are Expecting From Data Scientists? A Review on Data Oriented Studies Through Qualitative and Quantitative Approaches. IEEE Access 7: 641-654 (2019) - [c24]Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov:
Comparing Different Settings of Parameters Needed for Pre-processing of ECG Signals used for Blood Pressure Classification. BIOSIGNALS 2019: 62-72 - [c23]Antonio Antovski, Stefani Kostadinovska, Monika Simjanoska, Tome Eftimov, Nevena Ackovska, Ana Madevska Bogdanova:
Data-driven Autism Biomarkers Selection by using Signal Processing and Machine Learning Techniques. BIOINFORMATICS 2019: 201-208 - [c22]Monika Simjanoska, Gregor Papa, Barbara Korousic-Seljak, Tome Eftimov:
ECGpp: A Framework for Selecting the Pre-processing Parameters of ECG Signals Used for Blood Pressure Classification. BIOSTEC (Selected Papers) 2019: 352-377 - [c21]Monika Simjanoska, Bojana Koteska, Ana Madevska Bogdanova, Nevena Ackovska, Vladimir Trajkovik, Magdalena Kostoska, Fedor Lehocki:
LoCLoP: Low-cost/Low-processing Power Methodology for Deriving Heart Rate and Respiratory Rate in Time-critical Domain. EUROCON 2019: 1-6 - [c20]Bojana Koteska, Monika Simjanoska, Ivana Jacheva, Frosina Krsteska, Anastas Mishev:
Unit and Performance Testing of Scientific Software Using MATLAB. SQAMIA 2019 - 2018
- [j3]Monika Simjanoska, Martin Gjoreski, Matjaz Gams, Ana Madevska Bogdanova:
Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques. Sensors 18(4): 1160 (2018) - [c19]Monika Simjanoska, Martin Gjoreski, Ana Madevska Bogdanova, Bojana Koteska, Matjaz Gams, Jurij F. Tasic:
ECG-derived Blood Pressure Classification using Complexity Analysis-based Machine Learning. HEALTHINF 2018: 282-292 - [c18]Magdalena Kostoska, Monika Simjanoska, Bojana Koteska, Ana Madevska Bogdanova:
Medical Real-Time Data Analytics System Design Aspects, Reference Architecture and Evaluation. ICT Innovations 2018: 233-246 - [c17]Monika Simjanoska, Martin Gjoreski, Matjaz Gams, Ana Madevska Bogdanova:
Novel Data Processing Approach for Deriving Blood Pressure from ECG Only. ICT Innovations 2018: 273-285 - [c16]Bojana Koteska, Monika Simjanoska, Anastas Mishev:
Quantitative Quality Analysis of Scientific Software - Case Study. SQAMIA 2018 - [c15]Magdalena Kostoska, Monika Simjanoska, Bojana Koteska, Ana Madevska Bogdanova:
Real-time smart advisory health system. WIMS 2018: 47:1-47:4 - 2017
- [c14]Martin Gjoreski, Monika Simjanoska, Anton Gradisek, Ana Peterlin, Matjaz Gams, Gregor Poglajen:
Chronic Heart Failure Detection from Heart Sounds Using a Stack of Machine-Learning Classifiers. Intelligent Environments 2017: 14-19 - 2016
- [c13]Monika Simjanoska, Bojana Koteska, Magdalena Kostoska, Ana Madevska Bogdanova, Nevena Ackovska, Vladimir Trajkovik:
Information System for Biosensors Data Exchange in Healthcare. ICT Innovations 2016: 230-239 - 2015
- [j2]Monika Simjanoska, Sasko Ristov, Marjan Gusev, Goran Velkoski:
PPMaaS: performance-based pricing model as a service. Int. J. Reason. based Intell. Syst. 7(1/2): 16-25 (2015) - [c12]Monika Simjanoska, Jugoslav Achkoski, Ana Madevska Bogdanova, Vladimir Trajkovik:
Novel Connected Health Interoperable Layered (CHIL) Model. ICT Innovations 2015: 119-129 - 2014
- [c11]Monika Simjanoska, Sasko Ristov, Marjan Gusev:
Generative Modelling and Classification of Students' E-Learning and E-Assessment Results. CICSyN 2014: 12-17 - [c10]Monika Simjanoska, Marjan Gusev, Sasko Ristov, Ana Madevska Bogdanova:
Intelligent student profiling for predicting e-Assessment outcomes. EDUCON 2014: 616-622 - [c9]Monika Simjanoska, Ana Madevska Bogdanova:
Novel Methodology for CRC Biomarkers Detection with Leave-One-Out Bayesian Classification. ICT Innovations 2014: 225-236 - [c8]Monika Simjanoska, Marjan Gusev, Ana Madevska Bogdanova:
Intelligent modelling for predicting students' final grades. MIPRO 2014: 1216-1221 - 2013
- [j1]Monika Simjanoska, Marjan Gusev, Sasko Ristov, Goran Velkoski:
Scaling the Performance and Cost for Elastic Cloud Web Services. J. Comput. Inf. Technol. 21(2): 85-95 (2013) - [c7]Marjan Gusev, Sasko Ristov, Goran Velkoski, Monika Simjanoska:
Optimal Resource Allocation to Host Web Services in Cloud. IEEE CLOUD 2013: 948-949 - [c6]Goran Velkoski, Monika Simjanoska, Sasko Ristov, Marjan Gusev:
CPU utilization in a multitenant cloud. EUROCON 2013: 242-249 - [c5]Monika Simjanoska, Sasko Ristov, Goran Velkoski, Marjan Gusev:
L3B: Low level load balancer in the cloud. EUROCON 2013: 250-257 - [c4]Monika Simjanoska, Ana Madevska Bogdanova, Zaneta Popeska:
Bayesian Multiclass Classification of Gene Expression Colorectal Cancer Stages. ICT Innovations 2013: 177-186 - [c3]Monika Simjanoska, Ana Madevska Bogdanova, Sasho Panov:
Gene Ontology Analysis of Colorectal Cancer Biomarkers Probed with Affymetrix and Illumina Microarrays. IJCCI 2013: 396-406 - [c2]Monika Simjanoska, Goran Velkoski, Sasko Ristov, Marjan Gusev:
Does the performance scale the same as the cost in the cloud. ITI 2013: 83-88 - 2012
- [c1]Monika Simjanoska, Ana Madevska Bogdanova, Zaneta Popeska:
Recognition of Colorectal Carcinogenic Tissue with Gene Expression Analysis Using Bayesian Probability. ICT Innovations 2012: 305-314
Coauthor Index
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