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2020 – today
- 2024
[j36]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): 39 (2024)- [j35]Goran Mitrov, Boris Stanoev, Sonja Gievska, Georgina Mirceva, Eftim Zdravevski:
Combining Semantic Matching, Word Embeddings, Transformers, and LLMs for Enhanced Document Ranking: Application in Systematic Reviews. Big Data Cogn. Comput. 8(9): 110 (2024) - [j34]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: e1823 (2024) - [c53]Elena Filipovska, Ana Mladenovska, Merxhan Bajrami, Jovana Dobreva, Vellislava Hillman, Petre Lameski, Eftim Zdravevski:
Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents. FedCSIS 2024: 107-117 - [c52]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: 1181-1186 - [e3]Venere Ferraro, Mario Covarrubias, Eftim Zdravevski, Ivan Miguel Pires, José Manuel Marques Martins de Almeida, Norberto Jorge Gonçalves:
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. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 530, Springer Nature Switzerland 2024, ISBN 978-3-031-71911-0 [contents] - 2023
- [j33]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): 17 (2023) - [j32]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) - [c51]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: 127-130 - [c50]Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski:
Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS 2023: 291-296 - [c49]Dragana Nikolova, Georgina Mirceva, Eftim Zdravevski:
Application of Traditional and Deep Learning Algorithms in Sentiment Analysis of Global Warming Tweets. GOODTECHS 2023: 49-61 - [c48]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: 141-155 - [c47]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: 292-304 - [c46]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: 126-133 - [e2]Ivan Miguel Pires, Eftim Zdravevski, Nuno Cruz Garcia:
Smart Objects and Technologies for Social Goods - 8th EAI International Conference, GOODTECHS 2022, Aveiro, Portugal, November 16-18, 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 476, Springer 2023, ISBN 978-3-031-28812-8 [contents] - 2022
- [j31]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: 40979-40998 (2022) - [j30]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): 19 (2022) - [j29]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): 581 (2022) - [j28]Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska:
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Sensors 22(4): 1599 (2022) - [j27]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): 3582 (2022) - [j26]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:
Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. Sensors 22(17): 6443 (2022) - [c45]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: 437-446 - [c44]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: 693-698 - [c43]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: 721-726 - [c42]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: 40-49 - [c41]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: 414-421 - 2021
- [j25]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: 100203 (2021) - [j24]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): 43 (2021) - [j23]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): 49 (2021) - [j22]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: 100334 (2021) - [j21]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): 1235 (2021) - [j20]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): 2050 (2021) - [j19]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): 3025 (2021) - [j18]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): 3030 (2021) - [j17]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): 5762 (2021) - [j16]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): 6986 (2021) - [c40]Roberto Corizzo, Yohan Dauphin, Colin Bellinger, Eftim Zdravevski, Nathalie Japkowicz:
Explainable image analysis for decision support in medical healthcare. IEEE BigData 2021: 4667-4674 - [c39]Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski:
Are central-zone restaurants better for consumers? -An analytical approach. IEEE BigData 2021: 5963-5965 - [c38]Riste Stojanov, Ognen Popovski, Milos Jovanovik, Eftim Zdravevski, Petre Lameski, Dimitar Trajanov:
Temporal Authorization Graphs: Pros, Cons and Limits. GOODTECHS 2021: 105-120 - [c37]Filip Markoski, Elena Markoska, Nikola Ljubesic, Eftim Zdravevski, Ljupco Kocarev:
Cultural Topic Modelling over Novel Wikipedia Corpora for South-Slavic Languages. RANLP 2021: 910-917 - [c36]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: 136-145 - [e1]Ivan Miguel Pires, Susanna Spinsante, Eftim Zdravevski, Petre Lameski:
Smart Objects and Technologies for Social Good - 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15-17, 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 401, Springer 2021, ISBN 978-3-030-91420-2 [contents] - [d1]Faisal Hussain, Syed Ghazanfar Abbas, Ghalib A. Shah, Ivan Miguel Pires, Ubaid U. Fayyaz, Farrukh Shahzad, Nuno M. Garcia, Eftim Zdravevski:
IoT Healthcare Security Dataset. IEEE DataPort, 2021
- 2020
- [j15]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: 54574-54600 (2020) - [j14]Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak:
From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. 90: 106164 (2020) - [j13]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): 55 (2020) - [j12]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): 67 (2020) - [j11]Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz:
Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. 151: 113378 (2020) - [j10]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): 155 (2020) - [j9]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): 194 (2020) - [j8]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): 161 (2020) - [j7]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): 343 (2020) - [j6]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): 4142 (2020) - [j5]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): 3481 (2020) - [j4]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): 3906 (2020) - [c35]Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, Eftim Zdravevski:
Control and Prevention of Personal Stress. IEEE BigData 2020: 3783-3785 - [c34]Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, Nuno M. Garcia:
Personal Digital Life Coach for Physical Therapy. IEEE BigData 2020: 3797-3802 - [c33]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: 8-14 - [c32]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: 15-22 - [c31]Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska:
Explorations into Deep Learning Text Architectures for Dense Image Captioning. FedCSIS 2020: 129-136 - [c30]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: 308-314 - [c29]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: 139-147 - [c28]Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski:
Towards Cleaner Environments by Automated Garbage Detection in Images. ICT Innovations 2020: 56-63 - [c27]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: 59-66 - [i3]Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Eftim Zdravevski:
An Efficient Data Imputation Technique for Human Activity Recognition. CoRR abs/2007.04456 (2020)
2010 – 2019
- 2019
- [c26]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: 3754-3763 - [c25]Petre Lameski, Ace Dimitrievski, Eftim Zdravevski, Vladimir Trajkovik, Saso Koceski:
Challenges in data collection in real-world environments for activity recognition. EUROCON 2019: 1-5 - [c24]Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska:
Skin lesion segmentation with deep learning. EUROCON 2019: 1-5 - [c23]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
Addressing Privacy and Security in Connected Health with Fog Computing. GOODTECHS 2019: 255-260 - [c22]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: 261-266 - [c21]Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak:
Scalable Cloud-based ETL for Self-serving Analytics. ICDM 2019: 317-331 - [p1]Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia:
Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments. Enhanced Living Environments 2019: 1-18 - [i2]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: e27225 (2019) - 2018
- [j3]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): 160 (2018) - [c20]Petre Lameski, Eftim Zdravevski, Andrea Kulakov:
Review of Automated Weed Control Approaches: An Environmental Impact Perspective. ICT Innovations 2018: 132-147 - [c19]Maja Videnovik, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions. ITHET 2018: 1-5 - [c18]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: 185-188 - [i1]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: e27225 (2018) - 2017
- [j2]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: 5262-5280 (2017) - [j1]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: 5829-5836 (2017) - [c17]Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov:
Cloud-based architecture for automated weed control. EUROCON 2017: 757-762 - [c16]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: 769-774 - [c15]Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov:
Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. ICT Innovations 2017: 112-119 - 2016
- [c14]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. FedCSIS 2016: 245-248 - [c13]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
Towards application of non-invasive environmental sensors for risks and activity detection. ICCP 2016: 27-33 - [c12]Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik:
A survey of Ambient Assisted Living systems: Challenges and opportunities. ICCP 2016: 49-53 - [c11]Eftim Zdravevski, Petre Lameski, Andrea Kulakov:
Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. PDP 2016: 10-17 - [c10]Petre Lameski, Eftim Zdravevski, Andrea Kulakov:
Weed Segmentation from Grayscale Tobacco Seedling Images. RAAD 2016: 252-258 - 2015
- [c9]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: 169-179 - [c8]Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski:
Parallel computation of information gain using Hadoop and MapReduce. FedCSIS 2015: 181-192 - [c7]Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj:
Robust histogram-based feature engineering of time series data. FedCSIS 2015: 381-388 - [c6]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: 464-474 - [c5]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: 186-191 - 2014
- [c4]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: 387-394 - 2011
- [c3]Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev:
Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. DCOSS 2011: 1-3 - [c2]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: 181-188
2000 – 2009
- 2009
- [c1]Eftim Zdravevski, Andrea Kulakov:
System for Prediction of the Winner in a Sports Game. ICT Innovations 2009: 55-63
Coauthor Index
[j36] [c53] [c52] [c50] [c48] [c47] [j31] [j28] [j27] [j26] [c44] [c42] [c41] [j25] [j21] [j18] [j17] [j16] [c39] [c38] [c36] [e1] [j15] [j14] [j13] [j9] [j7] [j6] [j4] [c33] [c32] [c31] [c29] [c28] [c26] [c25] [c24] [c23] [p1] [c20] [c19] [c18] [j2] [j1] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-08 01:31 CET by the dblp team
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