Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms. - Petre Lameski; Andrea Kulakov (ICT Innovations, 2009)

Mobile Robot Environment Learning and Localization Using Active Perception. - Petre Lameski; Andrea Kulakov (ICT Innovations, 2010)

Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. - Petre Lameski; Eftim Zdravevski; Andrea Kulakov; Danco Davcev (DCOSS, 2011)

Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov (IJCNN, 2011)

Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. - Ivica Dimitrovski; Gjorgji Madjarov; Dragi Kocev; Petre Lameski (CLEF (Working Notes), 2014)

Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov; Dejan Gjorgjevikj (FedCSIS, 2014)

Cloud Based Assistive Technologies and Smart Living Environment System. - Vlatko Nikolovski; Petre Lameski; Boban Joksimoski; Ivan Chorbev (MONAMI, 2014)

Parallel computation of information gain using Hadoop and MapReduce. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov; Sonja Filiposka; Dimitar Trajanov; Boro Jakimovski (FedCSIS, 2015)

Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov; Slobodan Kalajdziski (FedCSIS, 2015)

Robust histogram-based feature engineering of time series data. - Eftim Zdravevski; Petre Lameski; Riste Mingov; Andrea Kulakov; Dejan Gjorgjevikj (FedCSIS, 2015)

SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. - Petre Lameski; Eftim Zdravevski; Riste Mingov; Andrea Kulakov (RSFDGrC, 2015)

Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov; Boro Jakimovski; Sonja Filiposka; Dimitar Trajanov (TrustCom/BigDataSE/ISPA (2), 2015)

Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov (FedCSIS, 2016)

Towards application of non-invasive environmental sensors for risks and activity detection. - Ace Dimitrievski; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik (ICCP, 2016)

A survey of Ambient Assisted Living systems: Challenges and opportunities. - Ace Dimitrievski; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik (ICCP, 2016)

Influence of Fuzzy Tolerance Metrics on Classification and Regression Tasks for Fuzzy-Rough Nearest Neighbour Algorithms. - Andreja Naumoski; Georgina Mirceva; Petre Lameski (ICT Innovations, 2016)

Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. - Eftim Zdravevski; Petre Lameski; Andrea Kulakov (PDP, 2016)

Weed Segmentation from Grayscale Tobacco Seedling Images. - Petre Lameski; Eftim Zdravevski; Andrea Kulakov (RAAD, 2016)

Cloud-based architecture for automated weed control. - Petre Lameski; Eftim Zdravevski; Vladimir Trajkovik; Andrea Kulakov (EUROCON, 2017)

Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors. - Aleksandra Zdravevska; Ace Dimitrievski; Petre Lameski; Eftim Zdravevski; Vladimir Trajkovik (EUROCON, 2017)

Knowledge-Based Approach to Modeling Urban Dynamics. - Sonja Gievska; Petre Lameski (HCI (21), 2017)

Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. - Petre Lameski; Eftim Zdravevski; Vladimir Trajkovik; Andrea Kulakov (ICT Innovations, 2017)

Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal. - Petre Lameski; Eftim Zdravevski; Saso Koceski; Andrea Kulakov; Vladimir Trajkovik (IEEE Access, 2017)

Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering. - Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik; Andrea Kulakov; Ivan Chorbev; Rossitza Goleva; Nuno Pombo; Nuno M. Garcia (IEEE Access, 2017)

Firearms training simulator based on low cost motion tracking sensor. - Dimitar Bogatinov; Petre Lameski; Vladimir Trajkovik; Katerina Mitkovska Trendova (Multim. Tools Appl., 2017)

Review of Automated Weed Control Approaches: An Environmental Impact Perspective. - Petre Lameski; Eftim Zdravevski; Andrea Kulakov (ICT Innovations, 2018)

The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions. - Maja Videnovik; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik (ITHET, 2018)

Importance of Personalized Health-Care Models: A Case Study in Activity Recognition. - Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik; Nuno Pombo; Nuno M. Garcia (pHealth, 2018)

Cluster-size optimization within a cloud-based ETL framework for Big Data. - Eftim Zdravevski; Petre Lameski; Ace Dimitrievski; Marek Grzegorowski; Cas Apanowicz (IEEE BigData, 2019)

Challenges in data collection in real-world environments for activity recognition. - Petre Lameski; Ace Dimitrievski; Eftim Zdravevski; Vladimir Trajkovik; Saso Koceski (EUROCON, 2019)

Skin lesion segmentation with deep learning. - Jane Lameski; Andrej Jovanov; Eftim Zdravevski; Petre Lameski; Sonja Gievska (EUROCON, 2019)

Addressing Privacy and Security in Connected Health with Fog Computing. - Ace Dimitrievski; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik (GOODTECHS, 2019)

Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments. - Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik; Ivan Chorbev; Rossitza Goleva; Nuno Pombo; Nuno M. Garcia (Enhanced Living Environments, 2019)

Teenagers from Centre of Portugal: Nutrition and Physical Activity Data. - Nuno M. Garcia; María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Eftim Zdravevski; Ivan Chorbev; Petre Lameski (CSAI, 2020)

Short-term air pollution forecasting based on environmental factors and deep learning models. - Mirche Arsov; Eftim Zdravevski; Petre Lameski; Roberto Corizzo; Nikola Koteli; Kosta Mitreski; Vladimir Trajkovik (FedCSIS, 2020)

Explorations into Deep Learning Text Architectures for Dense Image Captioning. - Martina Toshevska; Frosina Stojanovska; Eftim Zdravevski; Petre Lameski; Sonja Gievska (FedCSIS, 2020)

CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal. - María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Petre Lameski (HealthyIoT, 2020)

Towards Cleaner Environments by Automated Garbage Detection in Images. - Aleksandar Despotovski; Filip Despotovski; Jane Lameski; Eftim Zdravevski; Andrea Kulakov; Petre Lameski (ICT Innovations, 2020)

Health-Related ICT Solutions of Smart Environments for Elderly-Systematic Review. - Petra Maresová; Ondrej Krejcar; Sabina Barakovic; Jasmina Barakovic Husic; Petre Lameski; Eftim Zdravevski; Ivan Chorbev; Vladimir Trajkovik (IEEE Access, 2020)

From Big Data to business analytics: The case study of churn prediction. - Eftim Zdravevski; Petre Lameski; Cas Apanowicz; Dominik Slezak (Appl. Soft Comput., 2020)

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; Nuno M. Garcia; María Vanessa Villasana; Eftim Zdravevski; Petre Lameski (Comput., 2020)

Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification. - Ivan Miguel Pires; Faisal Hussain; Nuno M. Garcia; Petre Lameski; Eftim Zdravevski (Future Internet, 2020)

Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. - Bruno F. Tavares; Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik; Aleksandar Jevremovic (Inf., 2020)

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. - Jovan Kalajdjieski; Eftim Zdravevski; Roberto Corizzo; Petre Lameski; Slobodan Kalajdziski; Ivan Miguel Pires; Nuno M. Garcia; Vladimir Trajkovik (Remote. Sens., 2020)

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. - Biserka Petrovska; Eftim Zdravevski; Petre Lameski; Roberto Corizzo; Ivan Stajduhar; Jonatan Lerga (Sensors, 2020)

Are central-zone restaurants better for consumers? -An analytical approach. - Filip Markoski; Lasko Basnarkov; Biljana Risteska Stojkoska; Petre Lameski; Eftim Zdravevski (IEEE BigData, 2021)

Temporal Authorization Graphs: Pros, Cons and Limits. - Riste Stojanov; Ognen Popovski; Milos Jovanovik; Eftim Zdravevski; Petre Lameski; Dimitar Trajanov (GOODTECHS, 2021)

Digital Shift: Assessment of Mental States Through Passive Mobile Sensing. - Evgenija Krajchevska; Nina Petreska; Ognen Handjiski; Sandra Andovska; Bojan Ilijoski; Petre Lameski; Panche Ribarski; Biljana Tojtovska (ICT Innovations, 2021)

Sleep Apnea Detection in Fog Based Ambient Assisted Living System. - Ace Dimitrievski; Natasa Koceska; Eftim Zdravevski; Petre Lameski; Betim Cico; Saso Koceski; Vladimir Trajkovik (RTA-CSIT, 2021)

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. - Marek Grzegorowski; Eftim Zdravevski; Andrzej Janusz; Petre Lameski; Cas Apanowicz; Dominik Slezak (Big Data Res., 2021)

Multi-Horizon Air Pollution Forecasting with Deep Neural Networks. - Mirche Arsov; Eftim Zdravevski; Petre Lameski; Roberto Corizzo; Nikola Koteli; Sasho Gramatikov; Kosta Mitreski; Vladimir Trajkovik (Sensors, 2021)

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks. - Ace Dimitrievski; Eftim Zdravevski; Petre Lameski; María Vanessa Villasana; Ivan Miguel Pires; Nuno M. Garcia; Francisco Flórez-Revuelta; Vladimir Trajkovik (Sensors, 2021)

Experimental Study on Wound Area Measurement with Mobile Devices. - 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 (Sensors, 2021)

Mobile 5P-Medicine Approach for Cardiovascular Patients. - Ivan Miguel Pires; Hanna Vitaliyivna Denysyuk; María Vanessa Villasana; Juliana Sá; Petre Lameski; Ivan Chorbev; Eftim Zdravevski; Vladimir Trajkovik; José Morgado; Nuno M. Garcia (Sensors, 2021)

Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices. - Ace Dimitrievski; Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik (FNC/MobiSPC/SEIT, 2022)

Preliminary Study on Gender Identification by Electrocardiography Data. - 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 (HealthyIoT, 2022)

Architecture for Collecting and Analysing Data from Sensor Devices. - Dona Jankova; Ivona Andova; Merxhan Bajrami; Martin Vrangalovski; Bojan Ilijoski; Petre Lameski; Katarina Trojachanec Dineva (ICT Innovations, 2022)

Are Active and Assisted Living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review. - Sara Colantonio; Mladjan Jovanovic; Eftim Zdravevski; Petre Lameski; Hilda Tellioglu; Martin Kampel; Francisco Flórez-Revuelta (PETRA, 2022)

Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities. - Boban Joksimoski; Eftim Zdravevski; Petre Lameski; Ivan Miguel Pires; Francisco José Melero; Tomás Puebla Martinez; Nuno M. Garcia; Martin Mihajlov; Ivan Chorbev; Vladimir Trajkovik (IEEE Access, 2022)

Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. - 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 (Sensors, 2022)

Can the Eight Hop Test Be Measured with Sensors? A Systematic Review. - Luís Pimenta; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Vladimir Trajkovik; Petre Lameski; Carlos Albuquerque; Ivan Miguel Pires (Sensors, 2022)

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. - Sandra Treneska; Eftim Zdravevski; Ivan Miguel Pires; Petre Lameski; Sonja Gievska (Sensors, 2022)

Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. - Dragana Nikolova; Petre Lameski; Ivan Miguel Pires; Eftim Zdravevski (FedCSIS, 2023)

Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. - Martin Kostadinov; Petre Lameski; Andrea Kulakov; Ivan Miguel Pires; Paulo Jorge Simões Coelho; Eftim Zdravevski (ICT Innovations, 2023)

Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data. - 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 (IWBBIO (1), 2023)

A low-cost device-based data approach to Eight Hop Test. - Luís Pimenta; Paulo Jorge Coelho; Norberto Jorge Gonçalves; José Paulo Lousado; Carlos Albuquerque; Nuno M. Garcia; Eftim Zdravevski; Petre Lameski; Ivan Miguel Pires (CENTERIS/ProjMAN/HCist, 2024)

Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents. - Elena Filipovska; Ana Mladenovska; Merxhan Bajrami; Jovana Dobreva; Vellislava Hillman; Petre Lameski; Eftim Zdravevski (FedCSIS, 2024)

Evaluation of Vector Databases and LLMs in RAG-Based Multi-document Question Answering. - Elena Filipovska; Ana Mladenovska; Jovana Dobreva; Dimitar Kitanovski; Goran Mitrov; Petre Lameski; Eftim Zdravevski (ICT Innovations, 2024)

A Study on Appropriate Segment Length for Generalized Cuff-less Blood Pressure Estimation from ECG Features. - Ivan Kuzmanov; Eftim Zdravevski; Petre Lameski; Biljana Risteska Stojkoska; Ana Madevska Bogdanova (MIPRO, 2024)

50 questions on Active Assisted Living technologies. Global edition. - 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; et al. (CoRR, 2024)

Enhancing portfolio management using artificial intelligence: literature review. - Kristina Sutiene; Peter Schwendner; Ciprian Sipos; Luis Lorenzo; Miroslav Mirchev; Petre Lameski; Audrius Kabasinskas; Chemseddine Tidjani; Belma Ozturkkal; Jurgita Cerneviciene (Frontiers Artif. Intell., 2024)

Methods for volume inference of non-medical objects from images: A short review. - 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 (J. Ambient Intell. Smart Environ., 2024)

Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning. - Boris Stanoev; Goran Mitrov; Andrea Kulakov; Georgina Mirceva; Petre Lameski; Eftim Zdravevski (Big Data Cogn. Comput., 2024)

Approaches and Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0. - Ivan Cvitic; Aleksandar Jevremovic; Petre Lameski (Mob. Networks Appl., 2024)

Enhancing Public Awareness of Air Quality: Evaluating Communication Strategies and Design Prototypes Using a Design-Based Implementation Research Approach. - Victoria Batz; Vanessa B. Liedtke; Petre Lameski; Vladimir Trajkovik; Steffi Hußlein; Christian Hansen 001; Michael A. Herzog (HCI (29), 2025)