Eftim Zdravevski

104 papers A* 1B 5C 11Misc 1Journal 44Unranked 38

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A comparative analysis of PPO and SAC algorithms for energy optimization with country-level energy consumption insights. IFAC J. Syst. Control. Enes Bajrami, Andrea Kulakov, Eftim Zdravevski, Petre Lameski
2025	J	`jnl`	Driving Healthcare Monitoring with IoT and Wearable Devices: A Systematic Review. ACM Comput. Surv. João Pedro Baiense, Eftim Zdravevski, Paulo Jorge Coelho, Ivan Miguel Pires, Fernando J. Velez
2025	J	`jnl`	Ten Meter Walk Test for motor function assessment with technological devices based on lower members' movements: A systematic review. Comput. Biol. Medicine Maykol Santos, Eftim Zdravevski, Carlos Albuquerque, Paulo Jorge Simões Coelho, Ivan Miguel Pires
2025	J	`jnl`	Use of machine learning for predicting stress episodes based on wearable sensor data: A systematic review. Comput. Biol. Medicine António Oseas Pataca, Eftim Zdravevski, Paulo Jorge Coelho, Nuno M. Garcia, Margot Deruyck, Carlos Albuquerque, Ivan Miguel Pires
2024	—	`conf`	A Study on Appropriate Segment Length for Generalized Cuff-less Blood Pressure Estimation from ECG Features. MIPRO Ivan Kuzmanov, Eftim Zdravevski, Petre Lameski, Biljana Risteska Stojkoska, Ana Madevska Bogdanova
2024	—	`conf`	A low-cost device-based data approach to Eight Hop Test. CENTERIS/ProjMAN/HCist Luís Pimenta, Paulo Jorge Coelho, Norberto Jorge Gonçalves, José Paulo Lousado, Carlos Albuquerque, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires
2024	J	`jnl`	Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning. Big Data Cogn. Comput. Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski, Eftim Zdravevski
2024	C	`conf`	Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents. FedCSIS Elena Filipovska, Ana Mladenovska, Merxhan Bajrami, Jovana Dobreva, Vellislava Hillman, Petre Lameski, Eftim Zdravevski
2024	J	`jnl`	Combining Semantic Matching, Word Embeddings, Transformers, and LLMs for Enhanced Document Ranking: Application in Systematic Reviews. Big Data Cogn. Comput. Goran Mitrov, Boris Stanoev, Sonja Gievska, Georgina Mirceva, Eftim Zdravevski
2024	—	`conf`	Evaluation of Vector Databases and LLMs in RAG-Based Multi-document Question Answering. ICT Innovations Elena Filipovska, Ana Mladenovska, Jovana Dobreva, Dimitar Kitanovski, Goran Mitrov, Petre Lameski, Eftim Zdravevski
2024	—	`ed.`	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 HealthyIoT / HealthWear Venere Ferraro, Mario Covarrubias, Eftim Zdravevski, Ivan Miguel Pires, José Manuel Marques Martins de Almeida, Norberto Jorge Gonçalves
2024	J	`jnl`	Methods for volume inference of non-medical objects from images: A short review. J. Ambient Intell. Smart Environ. 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
2024	B	`conf`	Multimodal Deep Learning for Online Meme Classification. IEEE Big Data Stephanie Han, Sebastian Leal-Arenas, Eftim Zdravevski, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo
2024	J	`jnl`	Sensor-based systems for the measurement of Functional Reach Test results: a systematic review. PeerJ Comput. Sci. Luís Francisco, João Duarte, António Nunes Godinho, Eftim Zdravevski, Carlos Albuquerque, Ivan Miguel Pires, Paulo Jorge Simões Coelho
2023	—	`conf`	Application of Traditional and Deep Learning Algorithms in Sentiment Analysis of Global Warming Tweets. GOODTECHS Dragana Nikolova, Georgina Mirceva, Eftim Zdravevski
2023	J	`jnl`	Editorial: Wearable and mobile data analysis methodologies for personalized medicine. Frontiers Digit. Health Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, Nuno M. Garcia
2023	—	`conf`	Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. ICT Innovations Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simões Coelho, Eftim Zdravevski
2023	—	`conf`	Feasibility analysis of an electrogastrography sensor for digestion detection. CIoT Paulo Alexandre Neves, Norberto Jorge Gonçalves, Pedro Varanda, João Simões, Filipe Pires, Nuno M. Garcia, Ricardo Costa, Eftim Zdravevski, Ivan Miguel Pires
2023	J	`jnl`	PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning. Comput. Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov
2023	—	`conf`	Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data. IWBBIO (1) 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
2023	—	`conf`	Self-reporting Tool for Cardiovascular Patients. WorldCIST (3) Hanna Vitaliyivna Denysyuk, João Amado, Norberto Jorge Gonçalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires
2023	—	`ed.`	Smart Objects and Technologies for Social Goods - 8th EAI International Conference, GOODTECHS 2022, Aveiro, Portugal, November 16-18, 2022, Proceedings GOODTECHS Ivan Miguel Pires, Eftim Zdravevski, Nuno Cruz Garcia
2023	C	`conf`	Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski
2022	C	`conf`	Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts. FedCSIS Milena Trajanoska, Pavel Gjorgovski, Eftim Zdravevski
2022	—	`conf`	Are Active and Assisted Living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review. PETRA Sara Colantonio, Mladjan Jovanovic, Eftim Zdravevski, Petre Lameski, Hilda Tellioglu, Martin Kampel, Francisco Flórez-Revuelta
2022	J	`jnl`	Can the Eight Hop Test Be Measured with Sensors? A Systematic Review. Sensors Luís Pimenta, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik, Petre Lameski, Carlos Albuquerque, Ivan Miguel Pires
2022	J	`jnl`	Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review. Sensors Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Diogo Luís Marques, José Francisco Morgado, Carlos Albuquerque, Eftim Zdravevski
2022	—	`conf`	Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices. FNC/MobiSPC/SEIT Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2022	J	`jnl`	GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Sensors Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska
2022	J	`jnl`	Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification. J. Imaging José Camara, Alexandre Neto, Ivan Miguel Pires, María Vanessa Villasana, Eftim Zdravevski, António Cunha
2022	—	`conf`	Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning. FNC/MobiSPC/SEIT Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov
2022	—	`conf`	Preliminary Study on Gender Identification by Electrocardiography Data. HealthyIoT 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
2022	J	`jnl`	Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities. IEEE Access Boban Joksimoski, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires, Francisco José Melero, Tomás Puebla Martinez, Nuno M. Garcia, Martin Mihajlov, Ivan Chorbev, Vladimir Trajkovik
2022	J	`jnl`	Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. Sensors 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
2021	J	`jnl`	A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test. Comput. Ivan Miguel Pires, Eurico Lopes, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Vasco Ponciano
2021	J	`jnl`	A Framework for Malicious Traffic Detection in IoT Healthcare Environment. Sensors Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski
2021	J	`jnl`	A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation. Comput. Filipe Ferreira, Ivan Miguel Pires, Mónica Isabel Teixeira da Costa, Vasco Ponciano, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Martin Mihajlov
2021	J	`jnl`	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 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
2021	—	`conf`	Are central-zone restaurants better for consumers? -An analytical approach. IEEE BigData Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski
2021	J	`jnl`	Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak
2021	Misc	`conf`	Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages. RANLP Filip Markoski, Elena Markoska, Nikola Ljubesic, Eftim Zdravevski, Ljupco Kocarev
2021	J	`jnl`	Experimental Study on Wound Area Measurement with Mobile Devices. Sensors 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
2021	—	`conf`	Explainable image analysis for decision support in medical healthcare. IEEE BigData Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz
2021	J	`jnl`	Mobile 5P-Medicine Approach for Cardiovascular Patients. Sensors Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Petre Lameski, Ivan Chorbev, Eftim Zdravevski, Vladimir Trajkovik, José Morgado, Nuno M. Garcia
2021	J	`jnl`	Multi-Horizon Air Pollution Forecasting with Deep Neural Networks. Sensors Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Sasho Gramatikov, Kosta Mitreski, Vladimir Trajkovik
2021	J	`jnl`	Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review. Comput. Sci. Rev. Igor Matias, Nuno M. Garcia, Sandeep Pirbhulal, Virginie Felizardo, Nuno Pombo, Henriques Zacarias, Miguel Sousa, Eftim Zdravevski
2021	—	`conf`	Sleep Apnea Detection in Fog Based Ambient Assisted Living System. RTA-CSIT Ace Dimitrievski, Natasa Koceska, Eftim Zdravevski, Petre Lameski, Betim Cico, Saso Koceski, Vladimir Trajkovik
2021	—	`ed.`	Smart Objects and Technologies for Social Good - 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15-17, 2021, Proceedings GOODTECHS Ivan Miguel Pires, Susanna Spinsante, Eftim Zdravevski, Petre Lameski
2021	—	`conf`	Temporal Authorization Graphs: Pros, Cons and Limits. GOODTECHS Riste Stojanov, Ognen Popovski, Milos Jovanovik, Eftim Zdravevski, Petre Lameski, Dimitar Trajanov
2021	J	`jnl`	Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks. Sensors Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, María Vanessa Villasana, Ivan Miguel Pires, Nuno M. Garcia, Francisco Flórez-Revuelta, Vladimir Trajkovik
2020	J	`jnl`	Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. Remote. Sens. Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik
2020	J	`jnl`	An Efficient Data Imputation Technique for Human Activity Recognition. CoRR Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski
2020	—	`conf`	Analysis of trends in scientific publications by an NLP toolkit: A case study in Software Development Methods for Enhanced Living Environment. SDS Melaku Girma, Nuno M. Garcia, Eftim Zdravevski, Mesfin Kifle, Nuno Pombo, Vladimir Trajkovik
2020	J	`jnl`	Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal. Inf. Rui Faria, Inês Lopes, Ivan Miguel Pires, Gonçalo Marques, Solange Fernandes, Nuno M. Garcia, José Lucas, Aleksandar Jevremovic, Eftim Zdravevski, Vladimir Trajkovik
2020	—	`conf`	Control and Prevention of Personal Stress. IEEE BigData Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski
2020	—	`conf`	CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal. HealthyIoT María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Petre Lameski
2020	J	`jnl`	Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. Sensors Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Stajduhar, Jonatan Lerga
2020	J	`jnl`	Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test. Comput. Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
2020	C	`conf`	Explorations into Deep Learning Text Architectures for Dense Image Captioning. FedCSIS Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska
2020	J	`jnl`	From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak
2020	J	`jnl`	Health-Related ICT Solutions of Smart Environments for Elderly-Systematic Review. IEEE Access Petra Maresová, Ondrej Krejcar, Sabina Barakovic, Jasmina Barakovic Husic, Petre Lameski, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik
2020	J	`jnl`	Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification. Future Internet Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski, Eftim Zdravevski
2020	—	`conf`	Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach. FNC/MobiSPC Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski
2020	J	`jnl`	Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study. Future Internet Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski
2020	J	`jnl`	Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. Comput. Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, María Vanessa Villasana, Eftim Zdravevski, Petre Lameski
2020	J	`jnl`	Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Inf. Bruno F. Tavares, Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Aleksandar Jevremovic
2020	J	`jnl`	Mobile Computing Technologies for Health and Mobility Assessment: Research Design and Results of the Timed Up and Go Test in Older Adults. Sensors Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, María Vanessa Villasana, Rute Crisóstomo, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
2020	—	`conf`	Personal Digital Life Coach for Physical Therapy. IEEE BigData Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia
2020	J	`jnl`	Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
2020	C	`conf`	Short-term air pollution forecasting based on environmental factors and deep learning models. FedCSIS Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik
2020	—	`conf`	Teenagers from Centre of Portugal: Nutrition and Physical Activity Data. CSAI Nuno M. Garcia, María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Eftim Zdravevski, Ivan Chorbev, Petre Lameski
2020	—	`conf`	Towards Cleaner Environments by Automated Garbage Detection in Images. ICT Innovations Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski
2019	—	`conf`	Addressing Privacy and Security in Connected Health with Fog Computing. GOODTECHS Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2019	—	`ch.`	Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments. Enhanced Living Environments Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia
2019	—	`conf`	Challenges in data collection in real-world environments for activity recognition. EUROCON Petre Lameski, Ace Dimitrievski, Eftim Zdravevski, Vladimir Trajkovik, Saso Koceski
2019	—	`conf`	Cluster-size optimization within a cloud-based ETL framework for Big Data. IEEE BigData Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz
2019	—	`conf`	CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers. GOODTECHS María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Nuno Pombo, Eftim Zdravevski, Ivan Chorbev
2019	J	`jnl`	Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. PeerJ Prepr. Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
2019	A*	`conf`	Scalable Cloud-based ETL for Self-serving Analytics. ICDM Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak
2019	—	`conf`	Skin lesion segmentation with deep learning. EUROCON Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska
2018	—	`conf`	Importance of Personalized Health-Care Models: A Case Study in Activity Recognition. pHealth Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Nuno Pombo, Nuno M. Garcia
2018	J	`jnl`	Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. PeerJ Prepr. Ivan Miguel Pires, Nuno M. Garcia, Nuno Pombo, Francisco Flórez-Revuelta, Susanna Spinsante, Maria Cristina Canavarro Teixeira, Eftim Zdravevski
2018	J	`jnl`	Recognition of Activities of Daily Living Based on Environmental Analyses Using Audio Fingerprinting Techniques: A Systematic Review. Sensors Ivan Miguel Pires, Rui Santos, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta, Susanna Spinsante, Rossitza Goleva, Eftim Zdravevski
2018	—	`conf`	Review of Automated Weed Control Approaches: An Environmental Impact Perspective. ICT Innovations Petre Lameski, Eftim Zdravevski, Andrea Kulakov
2018	—	`conf`	The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions. ITHET Maja Videnovik, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2017	—	`conf`	Cloud-based architecture for automated weed control. EUROCON Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov
2017	—	`conf`	Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors. EUROCON Aleksandra Zdravevska, Ace Dimitrievski, Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik
2017	J	`jnl`	Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering. IEEE Access Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Andrea Kulakov, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia
2017	J	`jnl`	Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal. IEEE Access Petre Lameski, Eftim Zdravevski, Saso Koceski, Andrea Kulakov, Vladimir Trajkovik
2017	—	`conf`	Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. ICT Innovations Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov
2016	B	`conf`	A survey of Ambient Assisted Living systems: Challenges and opportunities. ICCP Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2016	C	`conf`	Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov
2016	C	`conf`	Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. PDP Eftim Zdravevski, Petre Lameski, Andrea Kulakov
2016	B	`conf`	Towards application of non-invasive environmental sensors for risks and activity detection. ICCP Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2016	—	`conf`	Weed Segmentation from Grayscale Tobacco Seedling Images. RAAD Petre Lameski, Eftim Zdravevski, Andrea Kulakov
2015	—	`conf`	Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. TrustCom/BigDataSE/ISPA (2) Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov
2015	C	`conf`	Parallel computation of information gain using Hadoop and MapReduce. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski
2015	C	`conf`	Robust histogram-based feature engineering of time series data. FedCSIS Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj
2015	—	`conf`	SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. RSFDGrC Petre Lameski, Eftim Zdravevski, Riste Mingov, Andrea Kulakov
2015	C	`conf`	Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Slobodan Kalajdziski
2014	C	`conf`	Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj
2011	B	`conf`	Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. DCOSS Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev
2011	B	`conf`	Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. IJCNN Eftim Zdravevski, Petre Lameski, Andrea Kulakov
2009	—	`conf`	System for Prediction of the Winner in a Sports Game. ICT Innovations Eftim Zdravevski, Andrea Kulakov