Vladimir Stankovic

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University Of Strathclyde

United Kingdom

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Recent Grants

Grant: Close

Aging Population Attitudes to Sensor Controlled Home Energy

Open Date: 2012-11-01

Close Date: 2015-04-29

Grant: Close

REFIT: Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology

Open Date: 2012-06-18

Close Date: 2015-12-18

Grant: Close

Wireless Video Transmission Based on Distributed Source Coding Principles

Open Date: 2007-09-30

Close Date: 2010-02-28

Grant: Close

Wireless Video Transmission Based on Distributed Source Coding Principles

Open Date: 2007-03-01

Close Date: 2007-09-29

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2022

Collaborators (4)

Samuel Cheng

University of Oklahoma

UNITED STATES

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Adrian White

British Geological Survey

UNITED KINGDOM

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Lina Stankovic

University Of Strathclyde

UNITED KINGDOM

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stefano squartini

Full Professor

Università Politecnica delle Marche

ITALY

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Vladimir Stankovic

Research Interests

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Contact this professor

Recent Grants

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

Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network

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

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation

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

Collaborators (4)

Samuel Cheng

Adrian White

Lina Stankovic

stefano squartini

Make your next move.

Vladimir Stankovic

Research Interests

Explore related searches

Contact this professor

Recent Grants

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

Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network

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

A Survey on Deep Reinforcement Learning Algorithms for Robotic Manipulation

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

Collaborators (4)

Samuel Cheng

Adrian White

Lina Stankovic

stefano squartini

Make your next move.

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