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ORCIDAna Madevska Bogdanova
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2020 – today
- 2024
[j8]Maja Videnovik
, Ana Madevska Bogdanova, Vladimir Trajkovik:
Game-based learning approach in computer science in primary education: A systematic review. Entertain. Comput. 48: 100616 (2024)- [c33]Bojana Koteska, Ana Madevska Bogdanova, Teodora Vicentic, Stefan D. Ilic, Miona Tomic, Marko Spasenovic:
Prediction of Oxygen Saturation from Graphene Respiratory Signals with PPG Trained DNN. BIOSTEC (1) 2024: 739-746 - [c32]Ivan Kuzmanov, Eftim Zdravevski, Petre Lameski, Biljana Risteska Stojkoska, Ana Madevska Bogdanova:
A Study on Appropriate Segment Length for Generalized Cuff-less Blood Pressure Estimation from ECG Features. MIPRO 2024: 1181-1186 - 2023
- [j7]Emil Stankov, Mile Jovanov, Ana Madevska Bogdanova:
Smart generation of code tracing questions for assessment in introductory programming. Comput. Appl. Eng. Educ. 31(1): 5-25 (2023) - [c31]Ivan Kuzmanov, Nevena Ackovska, Fedor Lehocki, Ana Madevska Bogdanova:
Implementation of the Time Series and the Convolutional Vision Transformers for Biological Signal Processing - Blood Pressure Estimation from Photoplethysmogram. ICT Innovations 2023: 46-58 - 2022
- [j6]Teodora Vicentic, Milena Rasljic Rafajilovic, Stefan D. Ilic, Bojana Koteska, Ana Madevska Bogdanova, Igor A. Pasti, Fedor Lehocki, Marko Spasenovic:
Laser-Induced Graphene for Heartbeat Monitoring with HeartPy Analysis. Sensors 22(17): 6326 (2022) - [c30]Bojana Koteska, Ana Madevska Bogdanova, Hristina Mitrova, Marija Sidorenko, Fedor Lehocki:
A Deep Learning Approach to Estimate SpO2 from PPG Signals. ICBRA 2022: 142-148 - [c29]Ljubinka Sandjakoska, Ana Madevska Bogdanova, Ljupcho Pejov:
Novel Methodology for Improving the Generalization Capability of Chemo-Informatics Deep Learning Models. ICT Innovations 2022: 161-174 - [c28]Ivica Pesovski, Ana Madevska Bogdanova, Vladimir Trajkovik:
Systematic Review of the published Explainable Educational Recommendation Systems. ITHET 2022: 1-8 - [c27]Bojana Koteska, Hristina Mitrova, Ana Madevska Bogdanova, Fedor Lehocki:
Machine learning based SpO2 prediction from PPG signal's characteristics features. MeMeA 2022: 1-6 - [c26]Ivan Kuzmanov, Ana Madevska Bogdanova, Magdalena Kostoska, Nevena Ackovska:
Fast Cuffless Blood Pressure Classification with ECG and PPG signals using CNN-LSTM Models in Emergency Medicine. MIPRO 2022: 362-367 - 2021
- [c25]Hristina Mitrova, Ana Madevska Bogdanova:
Models for Detecting Frauds in Medical Insurance. ICT Innovations 2021: 55-67 - 2020
- [j5]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) - [c24]Marko Markoski, Ana Madevska Bogdanova:
Fine - Grained Image Classification Using Transfer Learning and Context Encoding. ICT Innovations 2020: 64-70
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) - [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, 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 - 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) - [c21]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 - [c20]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 - [c19]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 - [c18]Magdalena Kostoska, Monika Simjanoska, Bojana Koteska, Ana Madevska Bogdanova:
Real-time smart advisory health system. WIMS 2018: 47:1-47:4 - 2017
- [c17]Kristina Drusany Staric, Petra Bukovec, Brian Caulfield, Ana Madevska Bogdanova, Hrvoje Belani:
ICT-assisted personalized therapy and rehabilitation in urinary incontinence. ConTEL 2017: 69-74 - 2016
- [c16]Emil Stankov, Mile Jovanov, Jovan Andonov, Ana Madevska Bogdanova:
Improving the accuracy of the code complexity calculation for automatically generated tasks with programming codes. EDUCON 2016: 686-692 - [c15]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
- [c14]Emil Stankov, Mile Jovanov, Bojan Kostadinov, Ana Madevska Bogdanova:
A new model for collaborative learning of programming using source code similarity detection. EDUCON 2015: 709-715 - [c13]Goce Stevanoski, Jugoslav Achkoski, Saso Koceski, Ana Madevska Bogdanova, Mitko Bogdanoski:
Addressing Communication Security Issues in BAN Medical System: SIARS. FABULOUS 2015: 219-225 - [c12]Monika Simjanoska, Jugoslav Achkoski, Ana Madevska Bogdanova, Vladimir Trajkovik:
Novel Connected Health Interoperable Layered (CHIL) Model. ICT Innovations 2015: 119-129 - [e1]Ana Madevska Bogdanova, Dejan Gjorgjevikj:
ICT Innovations 2014 - World of Data, Ohrid, Macedonia, 1-4 October, 2014. Advances in Intelligent Systems and Computing 311, Springer 2015, ISBN 978-3-319-09878-4 [contents] - 2014
- [c11]Monika Simjanoska, Marjan Gusev, Sasko Ristov, Ana Madevska Bogdanova:
Intelligent student profiling for predicting e-Assessment outcomes. EDUCON 2014: 616-622 - [c10]Monika Simjanoska, Ana Madevska Bogdanova:
Novel Methodology for CRC Biomarkers Detection with Leave-One-Out Bayesian Classification. ICT Innovations 2014: 225-236 - [c9]Monika Simjanoska, Marjan Gusev, Ana Madevska Bogdanova:
Intelligent modelling for predicting students' final grades. MIPRO 2014: 1216-1221 - 2013
- [j2]Emil Stankov, Mile Jovanov, Ana Madevska Bogdanova, Marjan Gusev:
A New Model for Semiautomatic Student Source Code Assessment. J. Comput. Inf. Technol. 21(3): 185-194 (2013) - [c8]Mirjana Ivanovic, Ana Madevska Bogdanova, Boris Milasinovic, Milos Savic, Klaus Bothe:
TEL in teaching and learning programming: international experience. CompSysTech 2013: 313-320 - [c7]Jurij F. Tasic, Ana Madevska Bogdanova, Jugoslav Achkoski, Aleksandar Glavinov:
Service - Oriented Architecture Model for Blood Type Analysis (Smart I (Eye) Advisory Rescue System) in Military Environment. ICT Innovations 2013: 149-156 - [c6]Monika Simjanoska, Ana Madevska Bogdanova, Zaneta Popeska:
Bayesian Multiclass Classification of Gene Expression Colorectal Cancer Stages. ICT Innovations 2013: 177-186 - [c5]Monika Simjanoska, Ana Madevska Bogdanova, Sasho Panov:
Gene Ontology Analysis of Colorectal Cancer Biomarkers Probed with Affymetrix and Illumina Microarrays. IJCCI 2013: 396-406 - [c4]Emil Stankov, Mile Jovanov, Ana Madevska Bogdanova:
Source code similarity detection by using data mining methods. ITI 2013: 257-262 - 2012
- [c3]Marjan Kindalov, Ana Madevska Bogdanova, Zarko Erakovic:
A novel algorithm for an image processing system in entomology. BCI 2012: 1-7 - [c2]Monika Simjanoska, Ana Madevska Bogdanova, Zaneta Popeska:
Recognition of Colorectal Carcinogenic Tissue with Gene Expression Analysis Using Bayesian Probability. ICT Innovations 2012: 305-314
2000 – 2009
- 2004
- [j1]Ana Madevska Bogdanova, Dragan Nikolik, Leopold Curfs:
Probabilistic SVM outputs for pattern recognition using analytical geometry. Neurocomputing 62: 293-303 (2004) - 2000
- [c1]Ana Madevska Bogdanova, Dragan Nikolik:
A New Approach of Modifying SVM Outputs. IJCNN (6) 2000: 395-398
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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