92 citations · 201 across the 15 of their papers we have counts for
15 papers
Data Model Design for Explainable Machine Learning-based Electricity Applications
Carolina Fortuna, Gregor Cerar, Blaz Bertalanic +2
The transition from traditional power grids to smart grids, significant increase in the use of renewable energy sources, and soaring electricity prices has triggered a digital tran…
Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach
Jože M. Rožanec, Gašper Petelin, João Costa +5
In many cases, a machine learning model must learn to correctly predict a few data points with particular values of interest in a broader range of data where many target values are…
Deep Feature Learning for Wireless Spectrum Data
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
In recent years, the traditional feature engineering process for training machine learning models is being automated by the feature extraction layers integrated in deep learning ar…
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
Anže Pirnat, Blaž Bertalanič, Gregor Cerar +2
Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a busi…
XAI for Self-supervised Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
The so-called black-box deep learning (DL) models are increasingly used in classification tasks across many scientific disciplines, including wireless communications domain. In thi…
Resource-aware Deep Learning for Wireless Fingerprinting Localization
Gregor Cerar, Blaž Bertalanič, Carolina Fortuna
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular…
On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups
Carolina Fortuna, Din Mušić, Gregor Cerar +3
Artificial Intelligence (AI) technologies are moving from customized deployments in specific domains towards generic solutions horizontally permeating vertical domains and industri…
Self-supervised Learning for Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
In recent years, much work has been done on processing of wireless spectrum data involving machine learning techniques in domain-related problems for cognitive radio networks, such…
On Designing Data Models for Energy Feature Stores
Gregor Cerar, Blaž Bertalanič, Anže Pirnat +2
The digital transformation of the energy infrastructure enables new, data driven, applications often supported by machine learning models. However, domain specific data transformat…
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
Anže Pirnat, Blaž Bertalanič, Gregor Cerar +3
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular…
Learning to Fairly Classify the Quality of Wireless Links
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Machine learning (ML) has been used to develop increasingly accurate link quality estimators for wireless networks. However, more in-depth questions regarding the most suitable cla…
Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network
Gregor Cerar, Aleš Švigelj, Mihael Mohorčič +2
Multiple-input multiple-output (MIMO) is an enabling technology to meet the growing demand for faster and more reliable communications in wireless networks with a large number of t…
Learning to Detect Anomalous Wireless Links in IoT Networks
Gregor Cerar, Halil Yetgin, Blaž Bertalanič +1
After decades of research, the Internet of Things (IoT) is finally permeating real-life and helps improve the efficiency of infrastructures and processes as well as our health. As…
On Designing a Machine Learning Based Wireless Link Quality Classifier
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Ensuring a reliable communication in wireless networks strictly depends on the effective estimation of the link quality, which is particularly challenging when propagation environm…
Machine Learning for Wireless Link Quality Estimation: A Survey
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Since the emergence of wireless communication networks, a plethora of research papers focus their attention on the quality aspects of wireless links. The analysis of the rich body…