Lina Stankovic

University Of Strathclyde

United Kingdom

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Articles (20)

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (5)

Juraj Machaj

SLOVAKIA

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Adrian White

British Geological Survey

UNITED KINGDOM

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stefano squartini

Full Professor

Università Politecnica delle Marche

ITALY

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Vladimir Stankovic

University Of Strathclyde

UNITED KINGDOM

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Peter Brida

SLOVAKIA

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Lina Stankovic

Research Interests

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Articles (20)

Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge

A non-intrusive load monitoring-enabled framework for load scheduling in the dairy industry

A Semi-Supervised Approach to Characterise Microseismic Landslide Events from Big Noisy Data

Geodemographic aware electric vehicle charging location planning for equitable placement using graph neural networks

A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model

A temporal-spatial graph network with a learnable adjacency matrix for appliance-level electricity consumption prediction

A weakly supervised active learning framework for non-intrusive load monitoring

XNILMBoost: Explainability-informed load disaggregation training enhancement using attribution priors

A Machine Learning-Driven Approach to Uncover the Influencing Factors Resulting in Soil Mass Displacement

Performance-Aware NILM Model Optimization for Edge Deployment

An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem

Synthetic Data Generation for Deep Learning-Based Inversion for Velocity Model Building

Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring

Transfer learning for multi-objective non-intrusive load monitoring in smart building

Domain Knowledge Informed Multitask Learning for Landslide-Induced Seismic Classification

Microseismic Event Classification With Time-, Frequency-, and Wavelet-Domain Convolutional Neural Networks

Towards Transparent Load Disaggregation – A Framework for Quantitative Evaluation of Explainability Using Explainable AI

Graph-Based Feature Weight Optimisation and Classification of Continuous Seismic Sensor Array Recordings

Smart Dimmable LED Lighting Systems †

Collaborators (5)

Juraj Machaj

Adrian White

stefano squartini

Vladimir Stankovic

Peter Brida

Make your next move.

Lina Stankovic

Research Interests

Explore related searches

Contact this professor

Articles (20)

Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning

Interpretability and reliability-driven knowledge distillation for non-intrusive load monitoring on the edge

A non-intrusive load monitoring-enabled framework for load scheduling in the dairy industry

A Semi-Supervised Approach to Characterise Microseismic Landslide Events from Big Noisy Data

Geodemographic aware electric vehicle charging location planning for equitable placement using graph neural networks

A human-on-the-loop approach for labelling seismic recordings from landslide site via a multi-class deep-learning based classification model

A temporal-spatial graph network with a learnable adjacency matrix for appliance-level electricity consumption prediction

A weakly supervised active learning framework for non-intrusive load monitoring

XNILMBoost: Explainability-informed load disaggregation training enhancement using attribution priors

A Machine Learning-Driven Approach to Uncover the Influencing Factors Resulting in Soil Mass Displacement

Performance-Aware NILM Model Optimization for Edge Deployment

An active learning framework for the low-frequency Non-Intrusive Load Monitoring problem

Synthetic Data Generation for Deep Learning-Based Inversion for Velocity Model Building

Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring

Transfer learning for multi-objective non-intrusive load monitoring in smart building

Domain Knowledge Informed Multitask Learning for Landslide-Induced Seismic Classification

Microseismic Event Classification With Time-, Frequency-, and Wavelet-Domain Convolutional Neural Networks

Towards Transparent Load Disaggregation – A Framework for Quantitative Evaluation of Explainability Using Explainable AI

Graph-Based Feature Weight Optimisation and Classification of Continuous Seismic Sensor Array Recordings

Smart Dimmable LED Lighting Systems †

Collaborators (5)

Juraj Machaj

Adrian White

stefano squartini

Vladimir Stankovic

Peter Brida

Make your next move.

A non-intrusive load monitoring-enabled framework for load scheduling in the dairy industry