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Identification

Personal identification

Full name
Eftim Zdravevski

Citation names

  • Zdravevski, Eftim

Author identifiers

Ciência ID
5A11-57DE-3041
ORCID iD
0000-0001-7664-0168
Google Scholar ID
https://scholar.google.com/citations?user=1EToDhEAAAAJ&hl=en
Scopus Author Id
39362601000
Projects

Grant

Designation Funders
2018/02 - Current Data Science: Predicting machine malfunctions in real-time
MS-AZR-0036P
 Microsoft Research
2019/02 - 2019/12 Predicting machine malfunctions with deep learning
J001 4600 0067 4902 9326
 NVIDIA Corp
Outputs

Publications

Book
  1. Zdravevski, E.; Lameski, P.; Trajkovik, V.; Pombo, N.; Garcia, N.. Importance of personalized health-care models: A case study in activity recognition. 2018.
    10.3233/978-1-61499-868-6-185
  2. Lameski, P.; Zdravevski, E.; Kulakov, A.. Review of Automated Weed Control Approaches: An Environmental Impact Perspective. 2018.
    10.1007/978-3-030-00825-3_12
  3. Lameski, P.; Zdravevski, E.; Trajkovik, V.; Kulakov, A.. Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. 2017.
    10.1007/978-3-319-67597-8_11
  4. Lameski, P.; Zdravevski, E.; Kulakov, A.. Weed segmentation from grayscale tobacco seedling images. 2017.
    10.1007/978-3-319-49058-8_28
  5. Lameski, P.; Zdravevski, E.; Mingov, R.; Kulakov, A.. SVM parameter tuning with grid search and its impact on reduction of model over-fitting. 2015.
    10.1007/978-3-319-25783-9_41
Book chapter
  1. Pires, I.M.; Marques, G.; Garcia, N.M.; Pombo, N.; Flórez-Revuelta, F.; Zdravevski, E.; Spinsante, S.. "A Review on the Artificial Intelligence Algorithms for the Recognition of Activities of Daily Living Using Sensors in Mobile Devices". 685-713. 2020.
    10.1007/978-3-030-40305-8_33
  2. Valentim Pereira, G.F.; Pires, I.M.; Marques, G.; Garcia, N.M.; Zdravevski, E.; Lameski, P.; Flórez-Revuelta, F.; Spinsante, S.. "Mobile Applications Dedicated for Cardiac Patients: Research of Available Resources". 107-119. 2020.
    10.1007/978-3-030-39119-5_7
  3. Zdravevski, E.; Lameski, P.; Trajkovik, V.; Chorbev, I.; Goleva, R.; Pombo, N.; Garcia, N.M.. "Automation in systematic, scoping and rapid reviews by an NLP toolkit: A case study in enhanced living environments". 1-18. 2019.
    10.1007/978-3-030-10752-9_1
Conference paper
  1. Girma, Melaku; Garcia, Nuno; Zdravevski, Eftim; Kifle, Mesfin; Pombo, Nuno; Trajkovik, Vladimir. "Analysis of trends in scientific publications by an NLP toolkit: A case study in Software Development Methods for Enhanced Living Environment". 2020.
    10.1109/SDS49854.2020.9143896
  2. Popovski, Goce; Ponciano, Vasco; Marques, Goncalo; Pires, Ivan Miguel; Zdravevski, Eftim; Garcia, Nuno M.. "Personal Digital Life Coach for Physical Therapy". 2020.
    10.1109/BIGDATA50022.2020.9377997
  3. Marques, Hugo; Carvalho, Hugo; Morgado, Jose; Garcia, Nuno M.; Pires, Ivan Miguel; Zdravevski, Eftim. "Control and Prevention of Personal Stress". 2020.
    10.1109/BIGDATA50022.2020.9378311
  4. Lameski, J.; Jovanov, A.; Zdravevski, E.; Lameski, P.; Gievska, S.. "Skin lesion segmentation with deep learning". 2019.
    10.1109/EUROCON.2019.8861636
  5. Dimitrievski, A.; Zdravevski, E.; Lameski, P.; Trajkovik, V.. "Addressing privacy and security in connected health with fog computing". 2019.
    10.1145/3342428.3342654
  6. Villasana, M.V.; Pires, I.M.; Sá, J.; Garcia, N.M.; Pombo, N.; Zdravevski, E.; Chorbev, I.. "CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers". 2019.
    10.1145/3342428.3342657
  7. Lameski, P.; Dimitrievski, A.; Zdravevski, E.; Trajkovik, V.; Koceski, S.. "Challenges in data collection in real-world environments for activity recognition". 2019.
    10.1109/EUROCON.2019.8861964
  8. Zdravevski, E.; Lameski, P.; DImitrievski, A.; Grzegorowski, M.; Apanowicz, C.. "Cluster-size optimization within a cloud-based ETL framework for Big Data". 2019.
    10.1109/BigData47090.2019.9006547
  9. Videnovik, M.; Zdravevski, E.; Lameski, P.; Trajkovik, V.. "The BBC Micro:bit in the international classroom: Learning experiences and first impressions". 2018.
    10.1109/ITHET.2018.8424786
  10. Zdravevska, A.; Dimitrievski, A.; Lameski, P.; Zdravevski, E.; Trajkovik, V.. "Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors". 2017.
    10.1109/EUROCON.2017.8011214
  11. Lameski, P.; Zdravevski, E.; Trajkovik, V.; Kulakov, A.. "Cloud-based architecture for automated weed control". 2017.
    10.1109/EUROCON.2017.8011212
  12. Dimitrievski, A.; Zdravevski, E.; Lameski, P.; Trajkovik, V.. "Towards application of non-invasive environmental sensors for risks and activity detection". 2016.
    10.1109/ICCP.2016.7737117
  13. Zdravevski, E.; Lameski, P.; Kulakov, A.. "Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance". 2016.
    10.1109/PDP.2016.84
  14. Zdravevski, E.; Lameski, P.; Kulakov, A.. "Automatic feature engineering for prediction of dangerous seismic activities in coal mines". 2016.
    10.15439/2016F152
  15. Dimitrievski, A.; Zdravevski, E.; Lameski, P.; Trajkovik, V.. "A survey of Ambient Assisted Living systems: Challenges and opportunities". 2016.
    10.1109/ICCP.2016.7737121
  16. Zdravevski, E.; Lameski, P.; Kulakov, A.; Filiposka, S.; Trajanov, D.; Jakimovski, B.. "Parallel computation of information gain using Hadoop and MapReduce". 2015.
    10.15439/2015F89
  17. Zdravevski, E.; Lameski, P.; Kulakov, A.; Jakimovski, B.; Filiposka, S.; Trajanov, D.. "Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce". 2015.
    10.1109/Trustcom.2015.580
  18. Zdravevski, E.; Lameski, P.; Mingov, R.; Kulakov, A.; Gjorgjevikj, D.. "Robust histogram-based feature engineering of time series data". 2015.
    10.15439/2015F420
  19. Zdravevski, E.; Lameskit, P.; Kulakov, A.; Kalajdziski, S.. "Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter". 2015.
    10.15439/2015F90
  20. Zdravevski, E.; Lameski, P.; Kulakov, A.; Gjorgjevikj, D.. "Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets". 2014.
    10.15439/2014F500
  21. Lameski, P.; Zdravevski, E.; Kulakov, A.; Davcev, D.. "Architecture for wireless sensor and actor networks control and data acquisition". 2011.
    10.1109/DCOSS.2011.5982191
  22. Zdravevski, E.; Kulakov, A.; Kalajdziski, S.; Davcev, D.. "Probabilistic predictions of ensemble of classifiers combined with dynamically weighted majority vote". 2011.
    10.2316/P.2011.717-030
  23. Zdravevski, E.; Lameski, P.; Kulakov, A.. "Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms". 2011.
    10.1109/IJCNN.2011.6033219
Journal article
  1. Ivan Miguel Pires; Hanna Vitaliyivna Denysyuk; María Vanessa Villasana; Juliana Sá; Petre Lameski; Ivan Chorbev; Eftim Zdravevski; et al. "Mobile 5P-Medicine Approach for Cardiovascular Patients". Sensors 21 21 (2021): 6986-6986. https://doi.org/10.3390/s21216986.
    10.3390/s21216986
  2. Marcos-Zambrano, Laura Judith; Karaduzovic-Hadziabdic, Kanita; Loncar Turukalo, Tatjana; Przymus, Piotr; Trajkovik, Vladimir; Aasmets, Oliver; Berland, Magali; et al. "Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment". Frontiers in Microbiology (2021): https://publons.com/publon/41566765/.
    10.3389/FMICB.2021.634511
  3. Matias, Igor; Garcia, Nuno; Pirbhulal, Sandeep; Felizardo, Virginie; Pombo, Nuno; Zacarias, Henriques; Sousa, Miguel; Zdravevski, Eftim. "Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review". Computer Science Review (2021): https://publons.com/publon/33363832/.
    10.1016/J.COSREV.2020.100334
  4. Arsov, Mirche; Zdravevski, Eftim; Lameski, Petre; Corizzo, Roberto; Koteli, Nikola; Gramatikov, Sasho; Mitreski, Kosta; Trajkovik, Vladimir. "Multi-Horizon Air Pollution Forecasting with Deep Neural Networks". Sensors (2021): https://publons.com/publon/36020969/.
    10.3390/S21041235
  5. Grzegorowski, Marek; Zdravevski, Eftim; Janusz, Andrzej; Lameski, Petre; Apanowicz, Cas; Slezak, Dominik. "Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning". Big Data Research (2021): https://publons.com/publon/33004770/.
    10.1016/J.BDR.2021.100203
  6. Pires, Ivan Miguel; Garcia, Nuno M.; Zdravevski, Eftim; Lameski, Petre. "Indoor and outdoor environmental data: A dataset with acoustic data acquired by the microphone embedded on mobile devices". Data in Brief (2021): https://publons.com/publon/46749876/.
    10.1016/J.DIB.2021.107051
  7. Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz. "Scalable auto-encoders for gravitational waves detection from time series data". Expert Systems with Applications 151 (2020): 113378-113378. https://doi.org/10.1016/j.eswa.2020.113378.
    10.1016/j.eswa.2020.113378
  8. Vasco Ponciano; Ivan Pires; Fernando Ribeiro; Gonçalo Marques; Nuno M. Garcia; Eftim Zdravevski; Susanna Spinsante. "Identification of Diseases Based on the Use of Inertial Sensors: A Systematic Review". Electronics (2020): https://www.mdpi.com/2079-9292/9/5/778.
    10.3390/electronics9050778
  9. Eftim Zdravevski; Petre Lameski; Cas Apanowicz; Dominik Sl¿zak. "From Big Data to business analytics: The case study of churn prediction". Applied Soft Computing 90 (2020): 106164-106164. https://doi.org/10.1016/j.asoc.2020.106164.
    10.1016/j.asoc.2020.106164
  10. Vasco Ponciano; Ivan Miguel Pires; Fernando Reinaldo Ribeiro; Gonçalo Marques; Nuno M. Garcia; Nuno Pombo; Susanna Spinsante; Eftim Zdravevski. "Is The Timed-Up and Go Test Feasible in Mobile Devices? A Systematic Review". Electronics 9 3 (2020): 528-528. https://doi.org/10.3390/electronics9030528.
    10.3390/electronics9030528
  11. Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Francisco Flórez-Revuelta; Maria Canavarro Teixeira; Eftim Zdravevski; Susanna Spinsante; Miguel Coimbra. "Pattern Recognition Techniques for the Identification of Activities of Daily Living Using a Mobile Device Accelerometer". Electronics 9 3 (2020): 509-509. https://doi.org/10.3390/electronics9030509.
    10.3390/electronics9030509
  12. María Vanessa Villasana; Ivan Miguel Pires; Juliana Sá; Nuno M. Garcia; Eftim Zdravevski; Ivan Chorbev; Petre Lameski; Francisco Flórez-Revuelta. "Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies". Journal of Personalized Medicine 10 1 (2020): 12-12. https://doi.org/10.3390/jpm10010012.
    10.3390/jpm10010012
  13. José M. Ferreira; Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Eftim Zdravevski; Petre Lameski; Francisco Flórez-Revuelta; Susanna Spinsante. "Identification of Daily Activites and Environments Based on the AdaBoost Method Using Mobile Device Data: A Systematic Review". Electronics 9 1 (2020): 192-192. https://doi.org/10.3390/electronics9010192.
    10.3390/electronics9010192
  14. José M. Ferreira; Ivan Miguel Pires; Gonçalo Marques; Nuno M. García; Eftim Zdravevski; Petre Lameski; Francisco Flórez-Revuelta; Susanna Spinsante; Lina Xu. "Activities of Daily Living and Environment Recognition Using Mobile Devices: A Comparative Study". Electronics 9 1 (2020): 180-180. https://doi.org/10.3390/electronics9010180.
    10.3390/electronics9010180
  15. Petra Maresova; 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): 54574-54600. https://doi.org/10.1109/ACCESS.2020.2981315.
    10.1109/ACCESS.2020.2981315
  16. Faria, R.; Lopes, I.; Pires, I.M.; Marques, G.; Fernandes, S.; Garcia, N.M.; Lucas, J.; et al. "Circular economy for clothes using web and mobile technologies-A systematic review and a taxonomy proposal". Information (Switzerland) 11 3 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85082502651&partnerID=MN8TOARS.
    10.3390/info11030161
  17. Pires, Ivan Miguel; Garcia, Nuno M.; Zdravevski, Eftim; Lameski, Petre. "Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices". Data in Brief (2020): https://publons.com/publon/36915965/.
    10.1016/J.DIB.2020.106628
  18. Kalajdjieski, Jovan; Zdravevski, Eftim; Corizzo, Roberto; Lameski, Petre; Kalajdziski, Slobodan; Pires, Ivan Miguel; Garcia, Nuno M.; Trajkovik, Vladimir. "Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks". Remote Sensing (2020): https://publons.com/publon/35158086/.
    10.3390/RS12244142
  19. Tonkovic, Petar; Kalajdziski, Slobodan; Zdravevski, Eftim; Lameski, Petre; Corizzo, Roberto; Pires, Ivan Miguel; Garcia, Nuno M.; Loncar-Turukalo, Tatjana; Trajkovik, Vladimir. "Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review". Biology (2020): https://publons.com/publon/36174128/.
    10.3390/BIOLOGY9120453
  20. Barakovic Husic, Jasmina; Melero, Francisco Jose; Barakovic, Sabina; Lameski, Petre; Zdravevski, Eftim; Maresova, Petra; Krejcar, Ondrej; et al. "Aging at Work: A Review of Recent Trends and Future Directions". International Journal of Environmental Research and Public Health (2020): https://publons.com/publon/34360988/.
    10.3390/IJERPH17207659
  21. Ponciano, Vasco; Pires, Ivan Miguel; Ribeiro, Fernando Reinaldo; Villasana, Maria Vanessa; Teixeira, Maria Canavarro; Zdravevski, Eftim. "Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test". Computers (2020): https://publons.com/publon/34681763/.
    10.3390/COMPUTERS9030067
  22. Pires, Ivan Miguel; Hussain, Faisal; Garcia, Nuno M.; Lameski, Petre; Zdravevski, Eftim. "Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification". Future Internet (2020): https://publons.com/publon/36163135/.
    10.3390/FI12110194
  23. Petrovska, Biserka; Atanasova-Pacemska, Tatjana; Corizzo, Roberto; Mignone, Paolo; Lameski, Petre; Zdravevski, Eftim. "Aerial Scene Classification through Fine-Tuning with Adaptive Learning Rates and Label Smoothing". Applied Sciences (2020): https://publons.com/publon/32884661/.
    10.3390/APP10175792
  24. Villasana, Maria Vanessa; Pires, Ivan Miguel; Sa, Juliana; Garcia, Nuno M.; Teixeira, Maria Canavarro; Zdravevski, Eftim; Chorbev, Ivan; Lameski, Petre. "Promotion of Healthy Lifestyles to Teenagers with Mobile Devices: A Case Study in Portugal". Healthcare (2020): https://publons.com/publon/36163137/.
    10.3390/HEALTHCARE8030315
  25. Ponciano, Vasco; Pires, Ivan Miguel; Ribeiro, Fernando Reinaldo; Garcia, Nuno M.; Villasana, Maria Vanessa; Zdravevski, Eftim; Lameski, Petre. "Machine Learning Techniques with ECG and EEG Data: An Exploratory Study". Computers (2020): https://publons.com/publon/32528594/.
    10.3390/COMPUTERS9030055
  26. Pires, Ivan Miguel; Hussain, Faisal; Garcia, Nuno M.; Zdravevski, Eftim. "Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study". Future Internet (2020): https://publons.com/publon/36163136/.
    10.3390/FI12090155
  27. Pires, Ivan Miguel; Ponciano, Vasco; Garcia, Nuno M.; Zdravevski, Eftim. "Analysis of the Results of Heel-Rise Test with Sensors: A Systematic Review". Electronics (2020): https://publons.com/publon/32596866/.
    10.3390/ELECTRONICS9071154
  28. Ivan Miguel Pires; Gonçalo Marques; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante; Maria Canavarro Teixeira; Eftim Zdravevski. "Recognition of Activities of Daily Living and Environments Using Acoustic Sensors Embedded on Mobile Devices". Electronics (2019): https://doi.org/10.3390/electronics8121499.
    10.3390/electronics8121499
  29. Tatjana Loncar-Turukalo; Eftim Zdravevski; José Machado da Silva; Ioanna Chouvarda; Vladimir Trajkovik. "Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers". Journal of Medical Internet Research 21 9 (2019): e14017-e14017. https://doi.org/10.2196/14017.
    10.2196/14017
  30. Villasana, M.V.; Pires, I.M.; Sá, J.; Garcia, N.M.; Zdravevski, E.; Chorbev, I.; Lameski, P.; Flórez-Revuelta, F.. "Mobile applications for the promotion and support of healthy nutrition and physical activity habits: A systematic review, extraction of features and taxonomy proposal". Open Bioinformatics Journal 13 1 (2019): 50-72. http://www.scopus.com/inward/record.url?eid=2-s2.0-85081033640&partnerID=MN8TOARS.
    10.2174/1874196701907010050
  31. Ivan Pires; Rui Santos; Nuno Pombo; Nuno 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 2 (2018): 160-160. https://doi.org/10.3390/s18010160.
    10.3390/s18010160
  32. Maresova, P.; Tomsone, S.; Lameski, P.; Madureira, J.; Mendes, A.; Zdravevski, E.; Chorbev, I.; et al. "Technological solutions for older people with Alzheimer’s disease: Review". Current Alzheimer Research 15 10 (2018): 975-983. http://www.scopus.com/inward/record.url?eid=2-s2.0-85051863001&partnerID=MN8TOARS.
    10.2174/1567205015666180427124547
  33. Pires, I.M.; Teixeira, M.C.; Pombo, N.; Garcia, N.M.; Flórez-Revuelta, F.; Spinsante, S.; Goleva, R.; Zdravevski, E.. "Android library for recognition of activities of daily living: Implementation considerations, challenges, and solutions". Open Bioinformatics Journal 11 1 (2018): 61-88. http://www.scopus.com/inward/record.url?eid=2-s2.0-85051257171&partnerID=MN8TOARS.
    10.2174/1875036201811010061
  34. Eftim Zdravevski; Shahrad Taheri; Biljana Risteska Stojkoska; Marie Standl; Holger Schulz. "Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions". PLOS ONE (2017):
    10.1371/journal.pone.0184216
  35. Zdravevski, Eftim. "Suppression of Intensive Care Unit False Alarms based on the Arterial Blood Pressure Signal". IEEE Access PP 99 (2017): 1-1.
    10.1109/ACCESS.2017.2690380
  36. Zdravevski, Eftim. "Can we predict obstetric anal sphincter injury?". European Journal of Obstetrics & Gynecology and Reproductive Biology 210 (2017): 196-200. http://www.sciencedirect.com/science/article/pii/S0301211516310910.
    https://doi.org/10.1016/j.ejogrb.2016.12.029
  37. Eftim Zdravevski; Petre Lameski; Vladimir Trajkovik; Andrea Kulakov; Ivan Chorbev; Rossitza Goleva; Nuno Pombo; Nuno Garcia. "Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering". IEEE Access (2017): 1-1. https://doi.org/10.1109%2Faccess.2017.2684913.
    10.1109/ACCESS.2017.2684913
  38. Drusany Staric, K.; Bukovec, P.; Jakopic, K.; Zdravevski, E.; Trajkovik, V.; Lukanovic, A.. "Can we predict obstetric anal sphincter injury?". European Journal of Obstetrics and Gynecology and Reproductive Biology 210 (2017): 196-200. http://www.scopus.com/inward/record.url?eid=2-s2.0-85007580016&partnerID=MN8TOARS.
    10.1016/j.ejogrb.2016.12.029

Other

Other output
  1. Literature on Wearable Technology for Connected Health: scoping review on research trends, advances and barriers (Preprint). 2019. Tatjana Loncar-Turukalo; Eftim Zdravevski; José Machado Da Silva; Ioanna Chouvarda; Vladimir Trajkovik. https://doi.org/10.2196/preprints.14017.
    10.2196/preprints.14017
  2. Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. 2019. Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante; Maria Canavarro Teixeira; Eftim Zdravevski. https://doi.org/10.7287/peerj.preprints.27225v2.
    10.7287/peerj.preprints.27225v2
  3. Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer. 2019. Ivan Miguel Pires; Nuno M. Garcia; Nuno Pombo; Francisco Flórez-Revuelta; Susanna Spinsante; Maria Canavarro Teixeira; Eftim Zdravevski. https://doi.org/10.7287/peerj.preprints.27225.
    10.7287/peerj.preprints.27225