System for Prediction of the Winner in a Sports Game. - Eftim Zdravevski; Andrea Kulakov (ICT Innovations, 2009)

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)

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)

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)

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)

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)

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)

Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. - Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante; Maria Cristina Canavarro Teixeira; Eftim Zdravevski (PeerJ Prepr., 2018)

Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review. - Ivan Miguel Pires; Rui Santos; Nuno Pombo; Nuno M. Garcia; Francisco Flórez-Revuelta; Susanna Spinsante; Rossitza Goleva; Eftim Zdravevski (Sensors, 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)

CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers. - María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Nuno M. Garcia; Nuno Pombo; Eftim Zdravevski; Ivan Chorbev (GOODTECHS, 2019)

Scalable Cloud-based ETL for Self-serving Analytics. - Eftim Zdravevski; Cas Apanowicz; Krzysztof Stencel; Dominik Slezak (ICDM, 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)

Control and Prevention of Personal Stress. - Hugo Marques; Hugo Carvalho; José Morgado; Nuno M. Garcia; Ivan Miguel Pires; Eftim Zdravevski (IEEE BigData, 2020)

Personal Digital Life Coach for Physical Therapy. - Goce Popovski; Vasco Ponciano; Gonçalo Marques; Ivan Miguel Pires; Eftim Zdravevski; Nuno M. Garcia (IEEE BigData, 2020)

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)

Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach. - Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Eftim Zdravevski (FNC/MobiSPC, 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)

Analysis of trends in scientific publications by an NLP toolkit: A case study in Software Development Methods for Enhanced Living Environment. - Melaku Girma; Nuno M. Garcia; Eftim Zdravevski; Mesfin Kifle; Nuno Pombo; Vladimir Trajkovik (SDS, 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)

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; María Vanessa Villasana; Maria Cristina Canavarro Teixeira; Eftim Zdravevski (Comput., 2020)

An Efficient Data Imputation Technique for Human Activity Recognition. - Ivan Miguel Pires; Faisal Hussain; Nuno M. Garcia; Eftim Zdravevski (CoRR, 2020)

Scalable auto-encoders for gravitational waves detection from time series data. - Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz (Expert Syst. Appl., 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)

Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study. - Ivan Miguel Pires; Faisal Hussain; Nuno M. Garcia; Eftim Zdravevski (Future Internet, 2020)

Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal. - Rui Faria; Inês Lopes; Ivan Miguel Pires; Gonçalo Marques; Solange Fernandes; Nuno M. Garcia; José Lucas; Aleksandar Jevremovic; Eftim Zdravevski; Vladimir Trajkovik (Inf., 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)

Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. - Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; María Vanessa Villasana; Rute Crisóstomo; Maria Cristina Canavarro Teixeira; Eftim Zdravevski (Sensors, 2020)

Scalable auto-encoders for gravitational waves detection from time series data. - Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz (Zenodo, 2020)

Explainable image analysis for decision support in medical healthcare. - Roberto Corizzo; Yohan Dauphin; Colin Bellinger; Eftim Zdravevski; Nathalie Japkowicz (IEEE BigData, 2021)

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)

Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages. - Filip Markoski; Elena Markoska; Nikola Ljubesic; Eftim Zdravevski; Ljupco Kocarev (RANLP, 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)

A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation. - Filipe Ferreira; Ivan Miguel Pires; Mónica Isabel Teixeira da Costa; Vasco Ponciano; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Martin Mihajlov (Comput., 2021)

A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test. - Ivan Miguel Pires; Eurico Lopes; María Vanessa Villasana; Nuno M. Garcia; Eftim Zdravevski; Vasco Ponciano (Comput., 2021)

Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review. - Igor Matias; Nuno M. Garcia; Sandeep Pirbhulal; Virginie Felizardo; Nuno Pombo; Henriques Zacarias; Miguel Sousa; Eftim Zdravevski (Comput. Sci. Rev., 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)

A Framework for Malicious Traffic Detection in IoT Healthcare Environment. - Faisal Hussain; Syed Ghazanfar Abbas; Ghalib A. Shah; Ivan Miguel Pires; Ubaid U. Fayyaz; Farrukh Shahzad; Nuno M. Garcia; Eftim Zdravevski (Sensors, 2021)

An Experimental Study on the Validity and Reliability of a Smartphone Application to Acquire Temporal Variables during the Single Sit-to-Stand Test with Older Adults. - Diogo Marques 002; Henrique Pereira Neiva; Ivan Miguel Pires; Eftim Zdravevski; Martin Mihajlov; Nuno M. Garcia; Juan Diego Ruiz-Cárdenas; Daniel Almeida Marinho; Mário Cardoso Marques (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)

IoT Healthcare Security Dataset. - Faisal Hussain; Syed Ghazanfar Abbas; Ghalib A. Shah; Ivan Miguel Pires; Ubaid U. Fayyaz; Farrukh Shahzad; Nuno M. Garcia; Eftim Zdravevski (IEEE DataPort, 2021)

Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts. - Milena Trajanoska; Pavel Gjorgovski; Eftim Zdravevski (FedCSIS, 2022)

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)

Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning. - Nasi Jofche; Kostadin Mishev; Riste Stojanov; Milos Jovanovik; Eftim Zdravevski; Dimitar Trajanov (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)

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)

Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. - José Camara; Alexandre Neto; Ivan Miguel Pires; María Vanessa Villasana; Eftim Zdravevski; António Cunha (J. Imaging, 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)

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review. - Ivan Miguel Pires; Hanna Vitaliyivna Denysyuk; María Vanessa Villasana; Juliana Sá; Diogo Luís Marques; José Francisco Morgado; Carlos Albuquerque; Eftim Zdravevski (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)

Feasibility analysis of an electrogastrography sensor for digestion detection. - Paulo Alexandre Neves; Norberto Jorge Gonçalves; Pedro Varanda; João Simões; Filipe Pires; Nuno M. Garcia; Ricardo Costa; Eftim Zdravevski; Ivan Miguel Pires (CIoT, 2023)

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

Application of Traditional and Deep Learning Algorithms in Sentiment Analysis of Global Warming Tweets. - Dragana Nikolova; Georgina Mirceva; Eftim Zdravevski (GOODTECHS, 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)

Self-reporting Tool for Cardiovascular Patients. - Hanna Vitaliyivna Denysyuk; João Amado; Norberto Jorge Gonçalves; Eftim Zdravevski; Nuno M. Garcia; Ivan Miguel Pires (WorldCIST (3), 2023)

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning. - Nasi Jofche; Kostadin Mishev; Riste Stojanov; Milos Jovanovik; Eftim Zdravevski; Dimitar Trajanov (Comput., 2023)

Editorial: Wearable and mobile data analysis methodologies for personalized medicine. - Ivan Miguel Pires; Ciprian Dobre; Eftim Zdravevski; Nuno M. Garcia (Frontiers Digit. Health, 2023)

Multimodal Deep Learning for Online Meme Classification. - Stephanie Han; Sebastian Leal-Arenas; Eftim Zdravevski; Charles C. Cavalcante; Zois Boukouvalas; Roberto Corizzo (IEEE Big Data, 2024)

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)

IoT Technologies and Wearables for HealthCare - 10th EAI International Conference, HealthyIoT 2023, and 4th EAI International Conference, HealthWear 2023, Bratislava, Slovakia, October 24-26, 2023, Proceedings - Venere Ferraro; Mario Covarrubias; Eftim Zdravevski; Ivan Miguel Pires; José Manuel Marques Martins de Almeida; Norberto Jorge Gonçalves (HealthyIoT / HealthWear, 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)

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)

Sensor-based systems for the measurement of Functional Reach Test results: a systematic review. - Luís Francisco; João Duarte; António Nunes Godinho; Eftim Zdravevski; Carlos Albuquerque; Ivan Miguel Pires; Paulo Jorge Simões Coelho (PeerJ Comput. Sci., 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)

Combining Semantic Matching, Word Embeddings, Transformers, and LLMs for Enhanced Document Ranking: Application in Systematic Reviews. - Goran Mitrov; Boris Stanoev; Sonja Gievska; Georgina Mirceva; Eftim Zdravevski (Big Data Cogn. Comput., 2024)

Ten Meter Walk Test for motor function assessment with technological devices based on lower members' movements: A systematic review. - Maykol Santos; Eftim Zdravevski; Carlos Albuquerque; Paulo Jorge Simões Coelho; Ivan Miguel Pires (Comput. Biol. Medicine, 2025)

Driving Healthcare Monitoring with IoT and Wearable Devices: A Systematic Review. - João Pedro Baiense; Eftim Zdravevski; Paulo Jorge Coelho; Ivan Miguel Pires; Fernando J. Velez (ACM Comput. Surv., 2025)