Petre Lameski - RankMe

77 papers B 4C 10Journal 25Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A comparative analysis of PPO and SAC algorithms for energy optimization with country-level energy consumption insights. IFAC J. Syst. Control. Enes Bajrami, Andrea Kulakov, Eftim Zdravevski, Petre Lameski
2025	—	`conf`	Enhancing Public Awareness of Air Quality: Evaluating Communication Strategies and Design Prototypes Using a Design-Based Implementation Research Approach. HCI (29) Victoria Batz, Vanessa B. Liedtke, Petre Lameski, Vladimir Trajkovik, Steffi Hußlein, Christian Hansen, Michael A. Herzog
2024	J	`jnl`	50 questions on Active Assisted Living technologies. Global edition. CoRR Francisco Flórez-Revuelta, Alin Ake-Kob, Pau Climent-Pérez, Paulo Coelho, Liane Colonna, Laila Dahabiyeh, Carina Dantas, Esra Dogru-Huzmeli, Hazim Kemal Ekenel, Aleksandar Jevremovic, Nina Hosseini-Kivanani, Aysegul Ilgaz, Mladjan Jovanovic, Andrzej Klimczuk, Maksymilian Michal Kuzmicz, Petre Lameski, Ferlanda Luna, Natália Machado, Tamara Mujirishvili, Zada Pajalic, Galidiya Petrova, Nathalie G. S. Puaschitz, María José Santofimia Romero, Agusti Solanas, Wilhelmina van Staalduinen, Ziya Ata Yazici
2024	—	`conf`	A Study on Appropriate Segment Length for Generalized Cuff-less Blood Pressure Estimation from ECG Features. MIPRO Ivan Kuzmanov, Eftim Zdravevski, Petre Lameski, Biljana Risteska Stojkoska, Ana Madevska Bogdanova
2024	—	`conf`	A low-cost device-based data approach to Eight Hop Test. CENTERIS/ProjMAN/HCist Luís Pimenta, Paulo Jorge Coelho, Norberto Jorge Gonçalves, José Paulo Lousado, Carlos Albuquerque, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires
2024	J	`jnl`	Approaches and Opportunities of Using Machine Learning Methods in Telecommunications and Industry 4.0. Mob. Networks Appl. Ivan Cvitic, Aleksandar Jevremovic, Petre Lameski
2024	J	`jnl`	Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning. Big Data Cogn. Comput. Boris Stanoev, Goran Mitrov, Andrea Kulakov, Georgina Mirceva, Petre Lameski, Eftim Zdravevski
2024	C	`conf`	Benchmarking OpenAI's APIs and Large Language Models for Repeatable, Efficient Question Answering Across Multiple Documents. FedCSIS Elena Filipovska, Ana Mladenovska, Merxhan Bajrami, Jovana Dobreva, Vellislava Hillman, Petre Lameski, Eftim Zdravevski
2024	J	`jnl`	Enhancing portfolio management using artificial intelligence: literature review. Frontiers Artif. Intell. Kristina Sutiene, Peter Schwendner, Ciprian Sipos, Luis Lorenzo, Miroslav Mirchev, Petre Lameski, Audrius Kabasinskas, Chemseddine Tidjani, Belma Ozturkkal, Jurgita Cerneviciene
2024	—	`conf`	Evaluation of Vector Databases and LLMs in RAG-Based Multi-document Question Answering. ICT Innovations Elena Filipovska, Ana Mladenovska, Jovana Dobreva, Dimitar Kitanovski, Goran Mitrov, Petre Lameski, Eftim Zdravevski
2024	J	`jnl`	Methods for volume inference of non-medical objects from images: A short review. J. Ambient Intell. Smart Environ. Baticté Nabitchita, Norberto Jorge Gonçalves, Paulo Jorge Simões Coelho, Luís Pimenta, Eftim Zdravevski, Petre Lameski, Mónica Isabel Teixeira da Costa, Paulo Alexandre Neves, Ivan Miguel Pires
2023	—	`conf`	Enhancing Knee Meniscus Damage Prediction from MRI Images with Machine Learning and Deep Learning Techniques. ICT Innovations Martin Kostadinov, Petre Lameski, Andrea Kulakov, Ivan Miguel Pires, Paulo Jorge Simões Coelho, Eftim Zdravevski
2023	—	`conf`	Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data. IWBBIO (1) Rui João Pinto, Pedro Miguel Silva, Rui Pedro Duarte, Francisco Alexandre Marinho, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simões Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires
2023	C	`conf`	Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data. FedCSIS Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, Eftim Zdravevski
2022	—	`conf`	Architecture for Collecting and Analysing Data from Sensor Devices. ICT Innovations Dona Jankova, Ivona Andova, Merxhan Bajrami, Martin Vrangalovski, Bojan Ilijoski, Petre Lameski, Katarina Trojachanec Dineva
2022	—	`conf`	Are Active and Assisted Living applications addressing the main acceptance concerns of their beneficiaries? Preliminary insights from a scoping review. PETRA Sara Colantonio, Mladjan Jovanovic, Eftim Zdravevski, Petre Lameski, Hilda Tellioglu, Martin Kampel, Francisco Flórez-Revuelta
2022	J	`jnl`	Can the Eight Hop Test Be Measured with Sensors? A Systematic Review. Sensors Luís Pimenta, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik, Petre Lameski, Carlos Albuquerque, Ivan Miguel Pires
2022	—	`conf`	Facilitating privacy-preserving activity recognition in age-friendly environments through low-power devices. FNC/MobiSPC/SEIT Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2022	J	`jnl`	GAN-Based Image Colorization for Self-Supervised Visual Feature Learning. Sensors Sandra Treneska, Eftim Zdravevski, Ivan Miguel Pires, Petre Lameski, Sonja Gievska
2022	—	`conf`	Preliminary Study on Gender Identification by Electrocardiography Data. HealthyIoT Eduarda Sofia Bastos, Rui Pedro Duarte, Francisco Alexandre Marinho, Luís Pimenta, António Jorge Gouveia, Norberto Jorge Gonçalves, Paulo Jorge Simões Coelho, Eftim Zdravevski, Petre Lameski, Nuno M. Garcia, Ivan Miguel Pires
2022	J	`jnl`	Technological Solutions for Sign Language Recognition: A Scoping Review of Research Trends, Challenges, and Opportunities. IEEE Access Boban Joksimoski, Eftim Zdravevski, Petre Lameski, Ivan Miguel Pires, Francisco José Melero, Tomás Puebla Martinez, Nuno M. Garcia, Martin Mihajlov, Ivan Chorbev, Vladimir Trajkovik
2022	J	`jnl`	Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection. Sensors 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
2021	—	`conf`	Are central-zone restaurants better for consumers? -An analytical approach. IEEE BigData Filip Markoski, Lasko Basnarkov, Biljana Risteska Stojkoska, Petre Lameski, Eftim Zdravevski
2021	J	`jnl`	Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak
2021	—	`conf`	Digital Shift: Assessment of Mental States Through Passive Mobile Sensing. ICT Innovations Evgenija Krajchevska, Nina Petreska, Ognen Handjiski, Sandra Andovska, Bojan Ilijoski, Petre Lameski, Panche Ribarski, Biljana Tojtovska
2021	J	`jnl`	Experimental Study on Wound Area Measurement with Mobile Devices. Sensors Filipe Ferreira, Ivan Miguel Pires, Vasco Ponciano, Mónica Isabel Teixeira da Costa, María Vanessa Villasana, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Ivan Chorbev, Martin Mihajlov, Vladimir Trajkovik
2021	J	`jnl`	Mobile 5P-Medicine Approach for Cardiovascular Patients. Sensors Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Petre Lameski, Ivan Chorbev, Eftim Zdravevski, Vladimir Trajkovik, José Morgado, Nuno M. Garcia
2021	J	`jnl`	Multi-Horizon Air Pollution Forecasting with Deep Neural Networks. Sensors Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Sasho Gramatikov, Kosta Mitreski, Vladimir Trajkovik
2021	—	`conf`	Sleep Apnea Detection in Fog Based Ambient Assisted Living System. RTA-CSIT Ace Dimitrievski, Natasa Koceska, Eftim Zdravevski, Petre Lameski, Betim Cico, Saso Koceski, Vladimir Trajkovik
2021	—	`ed.`	Smart Objects and Technologies for Social Good - 7th EAI International Conference, GOODTECHS 2021, Virtual Event, September 15-17, 2021, Proceedings GOODTECHS Ivan Miguel Pires, Susanna Spinsante, Eftim Zdravevski, Petre Lameski
2021	—	`conf`	Temporal Authorization Graphs: Pros, Cons and Limits. GOODTECHS Riste Stojanov, Ognen Popovski, Milos Jovanovik, Eftim Zdravevski, Petre Lameski, Dimitar Trajanov
2021	J	`jnl`	Towards Detecting Pneumonia Progression in COVID-19 Patients by Monitoring Sleep Disturbance Using Data Streams of Non-Invasive Sensor Networks. Sensors Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, María Vanessa Villasana, Ivan Miguel Pires, Nuno M. Garcia, Francisco Flórez-Revuelta, Vladimir Trajkovik
2020	J	`jnl`	Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks. Remote. Sens. Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik
2020	—	`conf`	CoviHealth: A Pilot Study with Teenagers in Schools of Centre of Portugal. HealthyIoT María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Nuno M. Garcia, Eftim Zdravevski, Ivan Chorbev, Petre Lameski
2020	J	`jnl`	Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. Sensors Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Stajduhar, Jonatan Lerga
2020	C	`conf`	Explorations into Deep Learning Text Architectures for Dense Image Captioning. FedCSIS Martina Toshevska, Frosina Stojanovska, Eftim Zdravevski, Petre Lameski, Sonja Gievska
2020	J	`jnl`	From Big Data to business analytics: The case study of churn prediction. Appl. Soft Comput. Eftim Zdravevski, Petre Lameski, Cas Apanowicz, Dominik Slezak
2020	J	`jnl`	Health-Related ICT Solutions of Smart Environments for Elderly-Systematic Review. IEEE Access Petra Maresová, Ondrej Krejcar, Sabina Barakovic, Jasmina Barakovic Husic, Petre Lameski, Eftim Zdravevski, Ivan Chorbev, Vladimir Trajkovik
2020	J	`jnl`	Homogeneous Data Normalization and Deep Learning: A Case Study in Human Activity Classification. Future Internet Ivan Miguel Pires, Faisal Hussain, Nuno M. Garcia, Petre Lameski, Eftim Zdravevski
2020	J	`jnl`	Machine Learning Techniques with ECG and EEG Data: An Exploratory Study. Comput. Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Nuno M. Garcia, María Vanessa Villasana, Eftim Zdravevski, Petre Lameski
2020	J	`jnl`	Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal. Inf. Bruno F. Tavares, Ivan Miguel Pires, Gonçalo Marques, Nuno M. Garcia, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Aleksandar Jevremovic
2020	C	`conf`	Short-term air pollution forecasting based on environmental factors and deep learning models. FedCSIS Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik
2020	—	`conf`	Teenagers from Centre of Portugal: Nutrition and Physical Activity Data. CSAI Nuno M. Garcia, María Vanessa Villasana, Ivan Miguel Pires, Juliana Sá, Eftim Zdravevski, Ivan Chorbev, Petre Lameski
2020	—	`conf`	Towards Cleaner Environments by Automated Garbage Detection in Images. ICT Innovations Aleksandar Despotovski, Filip Despotovski, Jane Lameski, Eftim Zdravevski, Andrea Kulakov, Petre Lameski
2019	—	`conf`	Addressing Privacy and Security in Connected Health with Fog Computing. GOODTECHS Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2019	—	`ch.`	Automation in Systematic, Scoping and Rapid Reviews by an NLP Toolkit: A Case Study in Enhanced Living Environments. Enhanced Living Environments Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia
2019	—	`conf`	Challenges in data collection in real-world environments for activity recognition. EUROCON Petre Lameski, Ace Dimitrievski, Eftim Zdravevski, Vladimir Trajkovik, Saso Koceski
2019	—	`conf`	Cluster-size optimization within a cloud-based ETL framework for Big Data. IEEE BigData Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz
2019	—	`conf`	Skin lesion segmentation with deep learning. EUROCON Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, Sonja Gievska
2018	—	`conf`	Importance of Personalized Health-Care Models: A Case Study in Activity Recognition. pHealth Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Nuno Pombo, Nuno M. Garcia
2018	—	`conf`	Review of Automated Weed Control Approaches: An Environmental Impact Perspective. ICT Innovations Petre Lameski, Eftim Zdravevski, Andrea Kulakov
2018	—	`conf`	The BBC Micro: bit in the International Classroom: Learning Experiences and First Impressions. ITHET Maja Videnovik, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2017	—	`conf`	Cloud-based architecture for automated weed control. EUROCON Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov
2017	—	`conf`	Cloud-based recognition of complex activities for ambient assisted living in smart homes with non-invasive sensors. EUROCON Aleksandra Zdravevska, Ace Dimitrievski, Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik
2017	J	`jnl`	Firearms training simulator based on low cost motion tracking sensor. Multim. Tools Appl. Dimitar Bogatinov, Petre Lameski, Vladimir Trajkovik, Katerina Mitkovska Trendova
2017	J	`jnl`	Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering. IEEE Access Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Andrea Kulakov, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno M. Garcia
2017	—	`conf`	Knowledge-Based Approach to Modeling Urban Dynamics. HCI (21) Sonja Gievska, Petre Lameski
2017	J	`jnl`	Suppression of Intensive Care Unit False Alarms Based on the Arterial Blood Pressure Signal. IEEE Access Petre Lameski, Eftim Zdravevski, Saso Koceski, Andrea Kulakov, Vladimir Trajkovik
2017	—	`conf`	Weed Detection Dataset with RGB Images Taken Under Variable Light Conditions. ICT Innovations Petre Lameski, Eftim Zdravevski, Vladimir Trajkovik, Andrea Kulakov
2016	B	`conf`	A survey of Ambient Assisted Living systems: Challenges and opportunities. ICCP Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2016	C	`conf`	Automatic Feature Engineering for Prediction of Dangerous Seismic Activities in Coal Mines. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov
2016	—	`conf`	Influence of Fuzzy Tolerance Metrics on Classification and Regression Tasks for Fuzzy-Rough Nearest Neighbour Algorithms. ICT Innovations Andreja Naumoski, Georgina Mirceva, Petre Lameski
2016	C	`conf`	Row Key Designs of NoSQL Database Tables and Their Impact on Write Performance. PDP Eftim Zdravevski, Petre Lameski, Andrea Kulakov
2016	B	`conf`	Towards application of non-invasive environmental sensors for risks and activity detection. ICCP Ace Dimitrievski, Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik
2016	—	`conf`	Weed Segmentation from Grayscale Tobacco Seedling Images. RAAD Petre Lameski, Eftim Zdravevski, Andrea Kulakov
2015	—	`conf`	Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce. TrustCom/BigDataSE/ISPA (2) Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Boro Jakimovski, Sonja Filiposka, Dimitar Trajanov
2015	C	`conf`	Parallel computation of information gain using Hadoop and MapReduce. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Sonja Filiposka, Dimitar Trajanov, Boro Jakimovski
2015	C	`conf`	Robust histogram-based feature engineering of time series data. FedCSIS Eftim Zdravevski, Petre Lameski, Riste Mingov, Andrea Kulakov, Dejan Gjorgjevikj
2015	—	`conf`	SVM Parameter Tuning with Grid Search and Its Impact on Reduction of Model Over-fitting. RSFDGrC Petre Lameski, Eftim Zdravevski, Riste Mingov, Andrea Kulakov
2015	C	`conf`	Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Slobodan Kalajdziski
2014	—	`conf`	Cloud Based Assistive Technologies and Smart Living Environment System. MONAMI Vlatko Nikolovski, Petre Lameski, Boban Joksimoski, Ivan Chorbev
2014	C	`conf`	Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets. FedCSIS Eftim Zdravevski, Petre Lameski, Andrea Kulakov, Dejan Gjorgjevikj
2014	—	`conf`	Maestra at LifeCLEF 2014 Plant Task: Plant Identification using Visual Data. CLEF (Working Notes) Ivica Dimitrovski, Gjorgji Madjarov, Dragi Kocev, Petre Lameski
2011	B	`conf`	Architecture for Wireless Sensor and Actor Networks Control and Data Acquisition. DCOSS Petre Lameski, Eftim Zdravevski, Andrea Kulakov, Danco Davcev
2011	B	`conf`	Weight of evidence as a tool for attribute transformation in the preprocessing stage of supervised learning algorithms. IJCNN Eftim Zdravevski, Petre Lameski, Andrea Kulakov
2010	—	`conf`	Mobile Robot Environment Learning and Localization Using Active Perception. ICT Innovations Petre Lameski, Andrea Kulakov
2009	—	`conf`	Position Estimation of Mobile Robots Using Unsupervised Learning Algorithms. ICT Innovations Petre Lameski, Andrea Kulakov