Eftim Zdravevski

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 86

Top Topics

Systematic Review

Assisted Living

Feature Engineering

Top Venues

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)
Luís Francisco, João Duarte, António Nunes Godinho, Eftim Zdravevski, Carlos Albuquerque, Ivan Miguel Pires, Paulo Jorge Simães Coelho
Sensor-based systems for the measurement of Functional Reach Test results: a systematic review. PeerJ Comput. Sci. 10 (2024)
Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning. Comput. 12 (1) (2023)
Dragana Nikolova, Georgina Mirceva, Eftim Zdravevski
Application of Traditional and Deep Learning Algorithms in Sentiment Analysis of Global Warming Tweets. GOODTECHS (2023)
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)
Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, Nuno M. Garcia
Editorial: Wearable and mobile data analysis methodologies for personalized medicine. Frontiers Digit. Health 5 (2023)
Hanna Vitaliyivna Denysyuk, João Amado, Norberto Jorge Gonçalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires
Self-reporting Tool for Cardiovascular Patients. WorldCIST (3) (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)
Paulo Alexandre Neves, Norberto Jorge Gonçalves, Pedro Varanda, João Simões, Filipe Pires, Nuno M. Garcia, Ricardo Costa, Eftim Zdravevski, Ivan Miguel Pires
Feasibility analysis of an electrogastrography sensor for digestion detection. CIoT (2023)
Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski
Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS (2023)
José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski, António Cunha
Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. J. Imaging 8 (2) (2022)
Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov
Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning. FNC/MobiSPC/SEIT (2022)
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)
Milena Trajanoska, Pavel Gjorgovski, Eftim Zdravevski
Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts. FedCSIS (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)
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)
Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Diogo Luís Marques, José Francisco Morgado, Carlos Albuquerque, Eftim Zdravevski
Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review. Sensors 22 (2) (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)
Igor Matias, Nuno M. Garcia, Sandeep Pirbhulal, Virginie Felizardo, Nuno Pombo, Henriques Zacarias, Miguel Sousa, Eftim Zdravevski
Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review. Comput. Sci. Rev. 39 (2021)
Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz
Explainable image analysis for decision support in medical healthcare. IEEE BigData (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)
Filipe Ferreira, Ivan Miguel Pires, Mónica Costa, Vasco Ponciano, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Martin Mihajlov
A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation. Comput. 10 (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)
Ivan Miguel Pires, Eurico Lopes, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Vasco Ponciano
A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test. Comput. 10 (4) (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)
Diogo Marques, Henrique Pereira Neiva, Ivan Miguel Pires, Eftim Zdravevski, Martin Mihajlov, Nuno M. Garcia, Juan Diego Ruiz-Cárdenas, Daniel Almeida Marinho, Mário Cardoso Marques
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. Sensors 21 (6) (2021)
Filip Markoski, Elena Markoska, Nikola Ljubesic, Eftim Zdravevski, Ljupco Kocarev
Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages. RANLP (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)
Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski
A Framework for Malicious Traffic Detection in IoT Healthcare Environment. Sensors 21 (9) (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)
Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Rute Crisóstomo, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. Sensors 20 (12) (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)
Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia
Personal Digital Life Coach for Physical Therapy. IEEE BigData (2020)
Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. Comput. 9 (3) (2020)
Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski
Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study. Future Internet 12 (9) (2020)
Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski
An Efficient Data Imputation Technique for Human Activity Recognition. CoRR (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)
Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski
Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach. FNC/MobiSPC (2020)
Melaku Girma, Nuno M. Garcia, Eftim Zdravevski, Mesfin Kifle, Nuno Pombo, Vladimir Trajkovik
Analysis of trends in scientific publications by an NLP toolkit: A case study in Software Development Methods for Enhanced Living Environment. SDS (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)
Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski
Control and Prevention of Personal Stress. IEEE BigData (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)
Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. 151 (2020)
Rui Faria, Inês Lopes, Ivan Miguel Pires, Gonçalo Marques, Solange Fernandes, Nuno M. Garcia, José Lucas, Aleksandar Jevremovic, Eftim Zdravevski, Vladimir Trajkovik
Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal. Inf. 11 (3) (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)
María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Nuno Pombo, Eftim Zdravevski, Ivan Chorbev
CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers. GOODTECHS (2019)
Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska
Skin lesion segmentation with deep learning. EUROCON (2019)
Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak
Scalable Cloud-based ETL for Self-serving Analytics. ICDM (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)
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. PeerJ Prepr. 7 (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)
Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. PeerJ Prepr. 6 (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)
Ivan Miguel Pires, Rui Santos, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta, Susanna Spinsante, Rossitza Goleva, Eftim Zdravevski
Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review. Sensors 18 (1) (2018)
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)
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)
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)
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)
Eftim Zdravevski, Andrea Kulakov
System for Prediction of the Winner in a Sports Game. ICT Innovations (2009)