Petre Lameski

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 55

Top Topics

Systematic Review

Assisted Living

Feature Engineering

Top Venues

ICT Innovations

Publications

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) (2024)
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)
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)
Rui João Pinto, Pedro Miguel Silva, Rui Pedro Duarte, Francisco Alexandre Marinho, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simães 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)
Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simães Coelho, Eftim Zdravevski
Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. ICT Innovations (2023)
Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski
Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS (2023)
Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Sensors 22 (4) (2022)
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)
Eduarda Sofia Bastos, Rui Pedro Duarte, Francisco Alexandre Marinho, Luís Pimenta, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires
Preliminary Study on Gender Identification by Electrocardiography Data. HealthyIoT (2022)
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)
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)
Paulo Alexandre Neves, João Simões, Ricardo Costa, Luís Pimenta, Norberto Jorge Gonçalves, Carlos Albuquerque, Carlos 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) (2022)
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 (2022)
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) (2022)
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) (2021)
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)
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) (2021)
Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski
Are central-zone restaurants better for consumers? -An analytical approach. IEEE BigData (2021)
Riste Stojanov, Ognen Popovski, Milos Jovanovik, Eftim Zdravevski, Petre Lameski, Dimitar Trajanov
Temporal Authorization Graphs: Pros, Cons and Limits. GOODTECHS (2021)
Filipe Ferreira, Ivan Miguel Pires, Vasco Ponciano, Mónica 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) (2021)
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) (2021)
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)
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 (2021)
Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski
Towards Cleaner Environments by Automated Garbage Detection in Images. ICT Innovations (2020)
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)
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 (2020)
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)
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) (2020)
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)
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) (2020)
Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska
Explorations into Deep Learning Text Architectures for Dense Image Captioning. FedCSIS (2020)
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) (2020)
Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak
From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. 90 (2020)
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) (2020)
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) (2020)
Petre Lameski, Ace Dimitrievski, Eftim Zdravevski, Vladimir Trajkovik, Saso Koceski
Challenges in data collection in real-world environments for activity recognition. EUROCON (2019)
Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska
Skin lesion segmentation with deep learning. EUROCON (2019)
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)
Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
Addressing Privacy and Security in Connected Health with Fog Computing. GOODTECHS (2019)
Maja Videnovik, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions. ITHET (2018)
Petre Lameski, Eftim Zdravevski, Andrea Kulakov
Review of Automated Weed Control Approaches: An Environmental Impact Perspective. ICT Innovations (2018)
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)
Dimitar Bogatinov, Petre Lameski, Vladimir Trajkovik, Katerina Mitkovska Trendova
Firearms training simulator based on low cost motion tracking sensor. Multim. Tools Appl. 76 (1) (2017)
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 (2017)
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 (2017)
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)
Sonja Gievska, Petre Lameski
Knowledge-Based Approach to Modeling Urban Dynamics. HCI (21) (2017)
Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov
Cloud-based architecture for automated weed control. EUROCON (2017)
Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov
Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. ICT Innovations (2017)
Eftim Zdravevski, Petre Lameski, Andrea Kulakov
Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. FedCSIS (2016)
Petre Lameski, Eftim Zdravevski, Andrea Kulakov
Weed Segmentation from Grayscale Tobacco Seedling Images. RAAD (2016)
Eftim Zdravevski, Petre Lameski, Andrea Kulakov
Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. PDP (2016)
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)
Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
Towards application of non-invasive environmental sensors for risks and activity detection. ICCP (2016)
Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
A survey of Ambient Assisted Living systems: Challenges and opportunities. ICCP (2016)
Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski
Parallel computation of information gain using Hadoop and MapReduce. FedCSIS (2015)
Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj
Robust histogram-based feature engineering of time series data. FedCSIS (2015)
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)
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)
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)
Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski
Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. CLEF (Working Notes) (2014)
Vlatko Nikolovski, Petre Lameski, Boban Joksimoski, Ivan Chorbev
Cloud Based Assistive Technologies and Smart Living Environment System. MONAMI (2014)
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)
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)
Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev
Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. DCOSS (2011)
Petre Lameski, Andrea Kulakov
Mobile Robot Environment Learning and Localization Using Active Perception. ICT Innovations (2010)
Petre Lameski, Andrea Kulakov
Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms. ICT Innovations (2009)