Stavros Nousias

According to our database1, Stavros Nousias authored at least 20 papers between 2016 and 2021.

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



In proceedings 
PhD thesis 




Fast Mesh Denoising With Data Driven Normal Filtering Using Deep Variational Autoencoders.
IEEE Trans. Ind. Informatics, 2021

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification.
Sensors, 2020

A Saliency Aware CNN-Based 3D Model Simplification and Compression Framework for Remote Inspection of Heritage Sites.
IEEE Access, 2020

Mesh Saliency Detection Using Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Sparse modeling and optimization tools for energy efficient and reliable IoT.
Proceedings of the First International Conference on Societal Automation, 2019

Fast mesh denoising with data driven normal filtering using deep autoencoders.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Fluid-structure interaction simulation framework for cerebral aneurysm wall deformation.
Proceedings of the 10th International Conference on Information, 2019

Assessment of medication adherence in respiratory diseases through deep sparse convolutional coding.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Enhancing an Eco-Driving Gamification Platform Through Wearable and Vehicle Sensor Data Integration.
Proceedings of the Ambient Intelligence - 15th European Conference, 2019

GamECAR: Gamifying Self-Management of Eco-driving.
ERCIM News, 2018

Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach.
Proceedings of the 1st Workshop on Behavioral Change and Ambient Intelligence for Sustainability, 2018

An mHealth System for Monitoring Medication Adherence in Obstructive Respiratory Diseases Using Content Based Audio Classification.
IEEE Access, 2018

3-Class Prediction of Asthma Control Status Using a Gaussian Mixture Model Approach.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Managing nonuniformities and uncertainties in vehicle-oriented sensor data over next generation networks.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Uncertainty Management for Wearable IoT Wristband Sensors Using Laplacian-Based Matrix Completion.
Proceedings of the 23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2018

Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes.
BMC Medical Informatics Decis. Mak., 2017

Monitoring asthma medication adherence through content based audio classification.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Computational Modeling for Simulating Obstructive Lung Diseases Based on Geometry Processing Methods.
Proceedings of the Digital Human Modeling: Applications in Health, Safety, Ergonomics and Risk Management, 2016

Numerical assessment of airflow and inhaled particles attributes in obstructed pulmonary system.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016