Eftim Zdravevski

According to our database, Eftim Zdravevski authored at least 89 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 Simães Coelho

PeerJ Comput. Sci., 2024

2023

Editorial: Wearable and mobile data analysis methodologies for personalized medicine.

Ivan Miguel Pires, Ciprian Dobre, Eftim Zdravevski, Nuno M. Garcia

Frontiers Digit. Health, May, 2023

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning.

Nasi Jofche, Kostadin Mishev, Riste Stojanov, Milos Jovanovik, Eftim Zdravevski, Dimitar Trajanov

Comput., January, 2023

Self-reporting Tool for Cardiovascular Patients.

Hanna Vitaliyivna Denysyuk, João Amado, Norberto Jorge Gonçalves, Eftim Zdravevski, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the Information Systems and Technologies, 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 Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the Bioinformatics and Biomedical Engineering, 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 Simães Coelho, Eftim Zdravevski

Proceedings of the ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, 2023

Application of Traditional and Deep Learning Algorithms in Sentiment Analysis of Global Warming Tweets.

Dragana Nikolova, Georgina Mircheva, Eftim Zdravevski

Proceedings of the Smart Objects and Technologies for Social Good, 2023

Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data.

Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

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

Proceedings of the 6th Conference on Cloud and Internet of Things, 2023

2022

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.

Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska

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

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

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

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

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

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

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 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 Simães Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires

Proceedings of the IoT Technologies for HealthCare - 9th EAI International Conference, 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

Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices.

Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik

Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

Application of Diversified Ensemble Learning in Real-life Business Problems: The Case of Predicting Costs of Forwarding Contracts.

Milena Trajanoska, Pavel Gjorgovski, Eftim Zdravevski

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

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

Dataset, August, 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

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, 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

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

Experimental Study on Wound Area Measurement with Mobile Devices.

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

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

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

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

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

A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation.

Filipe Ferreira, Ivan Miguel Pires, Mónica Costa, Vasco Ponciano, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Martin Mihajlov

Comput., 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

Sleep Apnea Detection in Fog Based Ambient Assisted Living System.

Ace Dimitrievski, Natasa Koceska, Eftim Zdravevski, Petre Lameski, Betim Cico, Saso Koceski, Vladimir Trajkovik

Proceedings of the 4th International Conference on Recent Trends and Applications in Computer Science and Information Technology, Tirana, Albania, May 21st - to, 2021

Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages.

Filip Markoski, Elena Markoska, Nikola Ljubesic, Eftim Zdravevski, Ljupco Kocarev

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Temporal Authorization Graphs: Pros, Cons and Limits.

Riste Stojanov, Ognen Popovski, Milos Jovanovik, Eftim Zdravevski, Petre Lameski, Dimitar Trajanov

Proceedings of the Smart Objects and Technologies for Social Good, 2021

Are central-zone restaurants better for consumers? -An analytical approach.

Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Explainable image analysis for decision support in medical healthcare.

Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

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

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

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

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

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

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

Scalable auto-encoders for gravitational waves detection from time series data.

Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz

Expert Syst. Appl., 2020

An Efficient Data Imputation Technique for Human Activity Recognition.

Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski

CoRR, 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

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

From Big Data to business analytics: The case study of churn prediction.

Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak

Appl. Soft Comput., 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

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

Proceedings of the 2020 Seventh International Conference on Software Defined Systems, 2020

Towards Cleaner Environments by Automated Garbage Detection in Images.

Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski

Proceedings of the ICT Innovations 2020. Machine Learning and Applications, 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

Proceedings of the IoT Technologies for HealthCare - 7th EAI International Conference, 2020

Identification of Activities of Daily Living through Artificial Intelligence: an accelerometry-based approach.

Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski

Proceedings of the 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2020) / The 15th International Conference on Future Networks and Communications (FNC-2020) / The 10th International Conference on Sustainable Energy Information Technology, 2020

Explorations into Deep Learning Text Architectures for Dense Image Captioning.

Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 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

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 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

Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

Personal Digital Life Coach for Physical Therapy.

Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Control and Prevention of Personal Stress.

Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

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

Proceedings of the Enhanced Living Environments, 2019

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., 2019

Scalable Cloud-based ETL for Self-serving Analytics.

Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak

Proceedings of the Advances in Data Mining, 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

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

Addressing Privacy and Security in Connected Health with Fog Computing.

Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik

Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

Skin lesion segmentation with deep learning.

Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska

Proceedings of the IEEE EUROCON 2019, 2019

Challenges in data collection in real-world environments for activity recognition.

Petre Lameski, Ace Dimitrievski, Eftim Zdravevski, Vladimir Trajkovik, Saso Koceski

Proceedings of the IEEE EUROCON 2019, 2019

Cluster-size optimization within a cloud-based ETL framework for Big Data.

Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

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

Importance of Personalized Health-Care Models: A Case Study in Activity Recognition.

Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Nuno Pombo, Nuno M. Garcia

Proceedings of the pHealth 2018 - Proceedings of the 15th International Conference on Wearable Micro and Nano Technologies for Personalized Health,, 2018

The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions.

Maja Videnovik, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik

Proceedings of the 17th International Conference on Information Technology Based Higher Education and Training, 2018

Review of Automated Weed Control Approaches: An Environmental Impact Perspective.

Petre Lameski, Eftim Zdravevski, Andrea Kulakov

Proceedings of the ICT Innovations 2018. Engineering and Life Sciences, 2018

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

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

Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions.

Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov

Proceedings of the ICT Innovations 2017, 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

Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

Cloud-based architecture for automated weed control.

Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov

Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

2016

Weed Segmentation from Grayscale Tobacco Seedling Images.

Petre Lameski, Eftim Zdravevski, Andrea Kulakov

Proceedings of the Advances in Robot Design and Intelligent Control, 2016

Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance.

Eftim Zdravevski, Petre Lameski, Andrea Kulakov

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

A survey of Ambient Assisted Living systems: Challenges and opportunities.

Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik

Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

Towards application of non-invasive environmental sensors for risks and activity detection.

Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik

Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines.

Eftim Zdravevski, Petre Lameski, Andrea Kulakov

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

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

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting.

Petre Lameski, Eftim Zdravevski, Riste Mingov, Andrea Kulakov

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Robust histogram-based feature engineering of time series data.

Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 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

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Parallel computation of information gain using Hadoop and MapReduce.

Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski

Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014

Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets.

Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj

Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014

2011

Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms.

Eftim Zdravevski, Petre Lameski, Andrea Kulakov

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition.

Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev

Proceedings of the Distributed Computing in Sensor Systems, 2011

2009

System for Prediction of the Winner in a Sports Game.

Eftim Zdravevski, Andrea Kulakov

Proceedings of the ICT Innovations 2009, Ohrid, Macedonia, 28-30 September, 2009, 2009