Eftim Zdravevski

Orcid: 0000-0001-7664-0168

According to our database1, Eftim Zdravevski authored at least 94 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Combining Semantic Matching, Word Embeddings, Transformers, and LLMs for Enhanced Document Ranking: Application in Systematic Reviews.
Big Data Cogn. Comput., September, 2024

Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning.
Big Data Cogn. Comput., April, 2024

Sensor-based systems for the measurement of Functional Reach Test results: a systematic review.
PeerJ Comput. Sci., 2024

A Study on Appropriate Segment Length for Generalized Cuff-less Blood Pressure Estimation from ECG Features.
Proceedings of the 47th MIPRO ICT and Electronics Convention, 2024

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
, 2024

Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents.
Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 2024

2023
Editorial: Wearable and mobile data analysis methodologies for personalized medicine.
Frontiers Digit. Health, May, 2023

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning.
Comput., January, 2023

Self-reporting Tool for Cardiovascular Patients.
Proceedings of the Information Systems and Technologies, 2023

Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023

Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques.
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.
Proceedings of the Smart Objects and Technologies for Social Good, 2023

Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

Feasibility analysis of an electrogastrography sensor for digestion detection.
Proceedings of the 6th Conference on Cloud and Internet of Things, 2023

2022
GAN-Based Image Colorization for Self-Supervised Visual Feature Learning.
Sensors, 2022

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review.
Sensors, 2022

Can the Eight Hop Test Be Measured with Sensors? A Systematic Review.
Sensors, 2022

Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection.
Sensors, 2022

Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification.
J. Imaging, 2022

Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities.
IEEE Access, 2022

Are Active and Assisted Living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review.
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.
Proceedings of the IoT Technologies for HealthCare - 9th EAI International Conference, 2022

Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning.
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.
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.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Mobile 5P-Medicine Approach for Cardiovascular Patients.
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.
Sensors, 2021

A Framework for Malicious Traffic Detection in IoT Healthcare Environment.
Sensors, 2021

Experimental Study on Wound Area Measurement with Mobile Devices.
Sensors, 2021

Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks.
Sensors, 2021

Multi-Horizon Air Pollution Forecasting with Deep Neural Networks.
Sensors, 2021

Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review.
Comput. Sci. Rev., 2021

A Brief Review on the Sensor Measurement Solutions for the Ten-Meter Walk Test.
Comput., 2021

A Systematic Investigation of Models for Color Image Processing in Wound Size Estimation.
Comput., 2021

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning.
Big Data Res., 2021

Sleep Apnea Detection in Fog Based Ambient Assisted Living System.
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.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Temporal Authorization Graphs: Pros, Cons and Limits.
Proceedings of the Smart Objects and Technologies for Social Good, 2021

Are central-zone restaurants better for consumers? -An analytical approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Explainable image analysis for decision support in medical healthcare.
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.
Sensors, 2020

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.
Sensors, 2020

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.
Remote. Sens., 2020

Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal.
Inf., 2020

Circular Economy for Clothes Using Web and Mobile Technologies - A Systematic Review and a Taxonomy Proposal.
Inf., 2020

Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study.
Future Internet, 2020

Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification.
Future Internet, 2020

Scalable auto-encoders for gravitational waves detection from time series data.
Expert Syst. Appl., 2020

An Efficient Data Imputation Technique for Human Activity Recognition.
CoRR, 2020

Experimental Study for Determining the Parameters Required for Detecting ECG and EEG Related Diseases during the Timed-Up and Go Test.
Comput., 2020

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study.
Comput., 2020

From Big Data to business analytics: The case study of churn prediction.
Appl. Soft Comput., 2020

Health-Related ICT Solutions of Smart Environments for Elderly-Systematic Review.
IEEE Access, 2020

Analysis of trends in scientific publications by an NLP toolkit: A case study in Software Development Methods for Enhanced Living Environment.
Proceedings of the 2020 Seventh International Conference on Software Defined Systems, 2020

Towards Cleaner Environments by Automated Garbage Detection in Images.
Proceedings of the ICT Innovations 2020. Machine Learning and Applications, 2020

CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal.
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.
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.
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.
Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Teenagers from Centre of Portugal: Nutrition and Physical Activity Data.
Proceedings of the CSAI 2020: 2020 4th International Conference on Computer Science and Artificial Intelligence, 2020

Personal Digital Life Coach for Physical Therapy.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Control and Prevention of Personal Stress.
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.
Proceedings of the Enhanced Living Environments, 2019

Scalable Cloud-based ETL for Self-serving Analytics.
Proceedings of the Advances in Data Mining, 2019

CoviHealth: Novel approach of a mobile application for nutrition and physical activity management for teenagers.
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.
Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good, 2019

Skin lesion segmentation with deep learning.
Proceedings of the IEEE EUROCON 2019, 2019

Challenges in data collection in real-world environments for activity recognition.
Proceedings of the IEEE EUROCON 2019, 2019

Cluster-size optimization within a cloud-based ETL framework for Big Data.
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.
Sensors, 2018

Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer.
PeerJ Prepr., 2018

Importance of Personalized Health-Care Models: A Case Study in Activity Recognition.
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.
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.
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.
IEEE Access, 2017

Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal.
IEEE Access, 2017

Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions.
Proceedings of the ICT Innovations 2017, 2017

Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

Cloud-based architecture for automated weed control.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

2016
Weed Segmentation from Grayscale Tobacco Seedling Images.
Proceedings of the Advances in Robot Design and Intelligent Control, 2016

Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

A survey of Ambient Assisted Living systems: Challenges and opportunities.
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.
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.
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.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Robust histogram-based feature engineering of time series data.
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.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

Parallel computation of information gain using Hadoop and MapReduce.
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.
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.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition.
Proceedings of the Distributed Computing in Sensor Systems, 2011

2009
System for Prediction of the Winner in a Sports Game.
Proceedings of the ICT Innovations 2009, Ohrid, Macedonia, 28-30 September, 2009, 2009


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