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2020 – today
- 2024
[j23]Boris Stanoev
, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski, Eftim Zdravevski:
Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning. Big Data Cogn. Comput. 8(4): 39 (2024)- [j22]Kristina Sutiene, Peter Schwendner, Ciprian Sipos, Luis Lorenzo, Miroslav Mirchev, Petre Lameski, Audrius Kabasinskas, Chemseddine Tidjani, Belma Ozturkkal, Jurgita Cerneviciene:
Enhancing portfolio management using artificial intelligence: literature review. Frontiers Artif. Intell. 7 (2024) - [j21]Baticté Nabitchita, Norberto Jorge Gonçalves, Paulo Jorge Simões Coelho, Luís Pimenta, Eftim Zdravevski, Petre Lameski, Mónica Isabel Teixeira da Costa, Paulo Alexandre Neves, Ivan Miguel Pires:
Methods for volume inference of non-medical objects from images: A short review. J. Ambient Intell. Smart Environ. 16(4): 541-566 (2024) - [j20]Ivan Cvitic, Aleksandar Jevremovic, Petre Lameski:
Approaches and Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0. Mob. Networks Appl. 29(2): 533-544 (2024) - [c47]Elena Filipovska, Ana Mladenovska, Merxhan Bajrami, Jovana Dobreva, Vellislava Hillman, Petre Lameski, Eftim Zdravevski:
Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents. FedCSIS 2024: 107-117 - [c46]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 - [i1]Francisco Flórez-Revuelta, Alin Ake-Kob, Pau Climent-Pérez, Paulo Coelho, Liane Colonna, Laila Dahabiyeh, Carina Dantas, Esra Dogru-Huzmeli, Hazim Kemal Ekenel, Aleksandar Jevremovic, Nina Hosseini-Kivanani, Aysegul Ilgaz, Mladjan Jovanovic, Andrzej Klimczuk, Maksymilian M. Kuzmicz, Petre Lameski, Ferlanda Luna, Natália Machado, Tamara Mujirishvili, Zada Pajalic, Galidiya Petrova, Nathalie G. S. Puaschitz, María José Santofimia Romero, Agusti Solanas, Wilhelmina van Staalduinen, Ziya Ata Yazici:
50 questions on Active Assisted Living technologies. Global edition. CoRR abs/2410.16733 (2024) - 2023
- [c45]Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski:
Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS 2023: 291-296 - [c44]Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simões Coelho, Eftim Zdravevski:
Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. ICT Innovations 2023: 141-155 - [c43]Rui João Pinto, Pedro Miguel Silva, Rui Pedro Duarte, Francisco Alexandre Marinho, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simões Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires:
Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data. IWBBIO (1) 2023: 292-304 - 2022
- [j19]Boban Joksimoski, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires, Francisco José Melero, Tomás Puebla Martinez, Nuno M. Garcia, Martin Mihajlov, Ivan Chorbev, Vladimir Trajkovik:
Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities. IEEE Access 10: 40979-40998 (2022) - [j18]Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska:
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Sensors 22(4): 1599 (2022) - [j17]Luís Pimenta, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik, Petre Lameski, Carlos Albuquerque, Ivan Miguel Pires:
Can the Eight Hop Test Be Measured with Sensors? A Systematic Review. Sensors 22(9): 3582 (2022) - [j16]Paulo Alexandre Neves, João Simões, Ricardo Costa, Luís Pimenta, Norberto Jorge Gonçalves, Carlos Albuquerque, Carlos Augusto S. Cunha, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires:
Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. Sensors 22(17): 6443 (2022) - [c42]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices. FNC/MobiSPC/SEIT 2022: 693-698 - [c41]Eduarda Sofia Bastos, Rui Pedro Duarte, Francisco Alexandre Marinho, Luís Pimenta, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simões Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires:
Preliminary Study on Gender Identification by Electrocardiography Data. HealthyIoT 2022: 40-49 - [c40]Dona Jankova, Ivona Andova, Merxhan Bajrami, Martin Vrangalovski, Bojan Ilijoski, Petre Lameski, Katarina Trojachanec Dineva:
Architecture for Collecting and Analysing Data from Sensor Devices. ICT Innovations 2022: 121-132 - [c39]Sara Colantonio, Mladjan Jovanovic, Eftim Zdravevski, Petre Lameski, Hilda Tellioglu, Martin Kampel, Francisco Flórez-Revuelta:
Are Active and Assisted Living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review. PETRA 2022: 414-421 - 2021
- [j15]Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak:
Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. 25: 100203 (2021) - [j14]Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Sasho Gramatikov, Kosta Mitreski, Vladimir Trajkovik:
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks. Sensors 21(4): 1235 (2021) - [j13]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, María Vanessa Villasana, Ivan Miguel Pires, Nuno M. Garcia, Francisco Flórez-Revuelta, Vladimir Trajkovik:
Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks. Sensors 21(9): 3030 (2021) - [j12]Filipe Ferreira, Ivan Miguel Pires, Vasco Ponciano, Mónica Isabel Teixeira da Costa, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Ivan Chorbev, Martin Mihajlov, Vladimir Trajkovik:
Experimental Study on Wound Area Measurement with Mobile Devices. Sensors 21(17): 5762 (2021) - [j11]Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Petre Lameski, Ivan Chorbev, Eftim Zdravevski, Vladimir Trajkovik, José Morgado, Nuno M. Garcia:
Mobile 5P-Medicine Approach for Cardiovascular Patients. Sensors 21(21): 6986 (2021) - [c38]Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski:
Are central-zone restaurants better for consumers? -An analytical approach. IEEE BigData 2021: 5963-5965 - [c37]Riste Stojanov, Ognen Popovski, Milos Jovanovik, Eftim Zdravevski, Petre Lameski, Dimitar Trajanov:
Temporal Authorization Graphs: Pros, Cons and Limits. GOODTECHS 2021: 105-120 - [c36]Evgenija Krajchevska, Nina Petreska, Ognen Handjiski, Sandra Andovska, Bojan Ilijoski, Petre Lameski, Panche Ribarski, Biljana Tojtovska:
Digital Shift: Assessment of Mental States Through Passive Mobile Sensing. ICT Innovations 2021: 198-220 - [c35]Ace Dimitrievski, Natasa Koceska, Eftim Zdravevski, Petre Lameski, Betim Cico, Saso Koceski, Vladimir Trajkovik:
Sleep Apnea Detection in Fog Based Ambient Assisted Living System. RTA-CSIT 2021: 136-145 - [e1]Ivan Miguel Pires, Susanna Spinsante, Eftim Zdravevski, Petre Lameski:
Smart Objects and Technologies for Social Good - 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15-17, 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 401, Springer 2021, ISBN 978-3-030-91420-2 [contents] - 2020
- [j10]Petra Maresová, Ondrej Krejcar, Sabina Barakovic, Jasmina Barakovic Husic, Petre Lameski, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik:
Health-Related ICT Solutions of Smart Environments for Elderly-Systematic Review. IEEE Access 8: 54574-54600 (2020) - [j9]Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak:
From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. 90: 106164 (2020) - [j8]Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, María Vanessa Villasana, Eftim Zdravevski, Petre Lameski:
Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. Comput. 9(3): 55 (2020) - [j7]Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski, Eftim Zdravevski:
Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification. Future Internet 12(11): 194 (2020) - [j6]Bruno F. Tavares, Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Aleksandar Jevremovic:
Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Inf. 11(7): 343 (2020) - [j5]Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik:
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. Remote. Sens. 12(24): 4142 (2020) - [j4]Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Stajduhar, Jonatan Lerga:
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. Sensors 20(14): 3906 (2020) - [c34]Nuno M. Garcia, María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Eftim Zdravevski, Ivan Chorbev, Petre Lameski:
Teenagers from Centre of Portugal: Nutrition and Physical Activity Data. CSAI 2020: 8-14 - [c33]Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik:
Short-term air pollution forecasting based on environmental factors and deep learning models. FedCSIS 2020: 15-22 - [c32]Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska:
Explorations into Deep Learning Text Architectures for Dense Image Captioning. FedCSIS 2020: 129-136 - [c31]María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Petre Lameski:
CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal. HealthyIoT 2020: 139-147 - [c30]Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski:
Towards Cleaner Environments by Automated Garbage Detection in Images. ICT Innovations 2020: 56-63
2010 – 2019
- 2019
- [c29]Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz:
Cluster-size optimization within a cloud-based ETL framework for Big Data. IEEE BigData 2019: 3754-3763 - [c28]Petre Lameski, Ace Dimitrievski, Eftim Zdravevski, Vladimir Trajkovik, Saso Koceski:
Challenges in data collection in real-world environments for activity recognition. EUROCON 2019: 1-5 - [c27]Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska:
Skin lesion segmentation with deep learning. EUROCON 2019: 1-5 - [c26]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
Addressing Privacy and Security in Connected Health with Fog Computing. GOODTECHS 2019: 255-260 - [p1]Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia:
Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments. Enhanced Living Environments 2019: 1-18 - 2018
- [c25]Petre Lameski, Eftim Zdravevski, Andrea Kulakov:
Review of Automated Weed Control Approaches: An Environmental Impact Perspective. ICT Innovations 2018: 132-147 - [c24]Maja Videnovik, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions. ITHET 2018: 1-5 - [c23]Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Nuno Pombo, Nuno M. Garcia:
Importance of Personalized Health-Care Models: A Case Study in Activity Recognition. pHealth 2018: 185-188 - 2017
- [j3]Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Andrea Kulakov, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia:
Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering. IEEE Access 5: 5262-5280 (2017) - [j2]Petre Lameski, Eftim Zdravevski, Saso Koceski, Andrea Kulakov, Vladimir Trajkovik:
Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal. IEEE Access 5: 5829-5836 (2017) - [j1]Dimitar Bogatinov, Petre Lameski, Vladimir Trajkovik, Katerina Mitkovska Trendova:
Firearms training simulator based on low cost motion tracking sensor. Multim. Tools Appl. 76(1): 1403-1418 (2017) - [c22]Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov:
Cloud-based architecture for automated weed control. EUROCON 2017: 757-762 - [c21]Aleksandra Zdravevska, Ace Dimitrievski, Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik:
Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors. EUROCON 2017: 769-774 - [c20]Sonja Gievska, Petre Lameski:
Knowledge-Based Approach to Modeling Urban Dynamics. HCI (21) 2017: 252-261 - [c19]Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov:
Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. ICT Innovations 2017: 112-119 - 2016
- [c18]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. FedCSIS 2016: 245-248 - [c17]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
Towards application of non-invasive environmental sensors for risks and activity detection. ICCP 2016: 27-33 - [c16]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
A survey of Ambient Assisted Living systems: Challenges and opportunities. ICCP 2016: 49-53 - [c15]Andreja Naumoski, Georgina Mirceva, Petre Lameski:
Influence of Fuzzy Tolerance Metrics on Classification and Regression Tasks for Fuzzy-Rough Nearest Neighbour Algorithms. ICT Innovations 2016: 113-122 - [c14]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. PDP 2016: 10-17 - [c13]Petre Lameski, Eftim Zdravevski, Andrea Kulakov:
Weed Segmentation from Grayscale Tobacco Seedling Images. RAAD 2016: 252-258 - 2015
- [c12]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Slobodan Kalajdziski:
Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter. FedCSIS 2015: 169-179 - [c11]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski:
Parallel computation of information gain using Hadoop and MapReduce. FedCSIS 2015: 181-192 - [c10]Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj:
Robust histogram-based feature engineering of time series data. FedCSIS 2015: 381-388 - [c9]Petre Lameski, Eftim Zdravevski, Riste Mingov, Andrea Kulakov:
SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. RSFDGrC 2015: 464-474 - [c8]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov:
Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. TrustCom/BigDataSE/ISPA (2) 2015: 186-191 - 2014
- [c7]Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski:
Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. CLEF (Working Notes) 2014: 705-714 - [c6]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj:
Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets. FedCSIS 2014: 387-394 - [c5]Vlatko Nikolovski, Petre Lameski, Boban Joksimoski, Ivan Chorbev:
Cloud Based Assistive Technologies and Smart Living Environment System. MONAMI 2014: 358-369 - 2011
- [c4]Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev:
Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. DCOSS 2011: 1-3 - [c3]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. IJCNN 2011: 181-188 - 2010
- [c2]Petre Lameski, Andrea Kulakov:
Mobile Robot Environment Learning and Localization Using Active Perception. ICT Innovations 2010: 236-244
2000 – 2009
- 2009
- [c1]Petre Lameski, Andrea Kulakov:
Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms. ICT Innovations 2009: 95-103
Coauthor Index
[j23] [j21] [c47] [c46] [c45] [c44] [c43] [j19] [j18] [j17] [j16] [c42] [c41] [c39] [j15] [j14] [j13] [j12] [j11] [c38] [c37] [c35] [e1] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [p1] [c25] [c24] [c23] [j3] [j2] [c22] [c21] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c6] [c4] [c3]
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