Petre Lameski

Orcid: 0000-0002-5336-1796

According to our database1, Petre Lameski authored at least 68 papers between 2009 and 2024.

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

Timeline

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Bibliography

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

Enhancing portfolio management using artificial intelligence: literature review.
Frontiers Artif. Intell., 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

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

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

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

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

Architecture for Collecting and Analysing Data from Sensor Devices.
Proceedings of the ICT Innovations 2022. Reshaping the Future Towards a New Normal, 2022

Preliminary Study on Gender Identification by Electrocardiography Data.
Proceedings of the IoT Technologies for HealthCare - 9th EAI International Conference, 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

2021
Mobile 5P-Medicine Approach for Cardiovascular Patients.
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

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

Digital Shift: Assessment of Mental States Through Passive Mobile Sensing.
Proceedings of the ICT Innovations 2021. Digital Transformation, 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

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

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

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

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

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

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
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
Firearms training simulator based on low cost motion tracking sensor.
Multim. Tools Appl., 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

Knowledge-Based Approach to Modeling Urban Dynamics.
Proceedings of the Distributed, Ambient and Pervasive Interactions, 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

Influence of Fuzzy Tolerance Metrics on Classification and Regression Tasks for Fuzzy-Rough Nearest Neighbour Algorithms.
Proceedings of the ICT Innovations 2016, 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
Cloud Based Assistive Technologies and Smart Living Environment System.
Proceedings of the Mobile Networks and Management - 6th International Conference, 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

Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data.
Proceedings of the Working Notes for CLEF 2014 Conference, 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

2010
Mobile Robot Environment Learning and Localization Using Active Perception.
Proceedings of the ICT Innovations 2010 - Second International Conference, 2010

2009
Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms.
Proceedings of the ICT Innovations 2009, Ohrid, Macedonia, 28-30 September, 2009, 2009


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