Numerical assessment of airflow and inhaled particles attributes in obstructed pulmonary system. - Antonios Lalas; Dimitrios Kikidis; Konstantinos Votis; Dimitrios Tzovaras; Sylvia Verbanck; Stavros Nousias; Aris S. Lalos; Konstantinos Moustakas; Omar Usmani (BIBM, 2016)

Computational Modeling for Simulating Obstructive Lung Diseases Based on Geometry Processing Methods. - Stavros Nousias; Aris S. Lalos; Konstantinos Moustakas (HCI (15), 2016)

Monitoring asthma medication adherence through content based audio classification. - Stavros Nousias; John Lakoumentas; Aris S. Lalos; Dimitrios Kikidis; Konstantinos Moustakas; Konstantinos Votis; Dimitrios Tzovaras (SSCI, 2016)

Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes. - Antonios Lalas; Stavros Nousias; Dimitrios Kikidis; Aris S. Lalos; Gerasimos Arvanitis; Christos Sougles; Konstantinos Moustakas; Konstantinos Votis; Sylvia Verbanck; Omar Usmani; Dimitrios Tzovaras (BMC Medical Informatics Decis. Mak., 2017)

Uncertainty Management for Wearable IoT Wristband Sensors Using Laplacian-Based Matrix Completion. - Stavros Nousias; Christos Tselios; Dimitris Bitzas; Aris S. Lalos; Konstantinos Moustakas; Ioannis Chatzigiannakis (CAMAD, 2018)

Managing nonuniformities and uncertainties in vehicle-oriented sensor data over next generation networks. - Stavros Nousias; Christos Tselios; Dimitris Bitzas; Olivier Orfila; Samantha L. Jamson; Pablo Mejuto; Dimitrios Amaxilatis; Orestis Akrivopoulos; Ioannis Chatzigiannakis; Aris S. Lalos; Konstantinos Moustakas (PerCom Workshops, 2018)

3-Class Prediction of Asthma Control Status Using a Gaussian Mixture Model Approach. - Gerasimos Arvanitis; Otilia Kocsis; Aris S. Lalos; Stavros Nousias; Konstantinos Moustakas; Nikos Fakotakis (SETN, 2018)

An mHealth System for Monitoring Medication Adherence in Obstructive Respiratory Diseases Using Content Based Audio Classification. - Stavros Nousias; Aris S. Lalos; Gerasimos Arvanitis; Konstantinos Moustakas; Triantafillos Tsirelis; Dimitrios Kikidis; Konstantinos Votis; Dimitrios Tzovaras (IEEE Access, 2018)

Exploiting Gamification to Improve Eco-driving Behaviour: The GamECAR Approach. - Stavros Nousias; Christos Tselios; Dimitris Bitzas; Dimitrios Amaxilatis; Javier Montesa; Aris S. Lalos; Konstantinos Moustakas; Ioannis Chatzigiannakis (BRAINS/WS-AFFIN@AmI, 2018)

GamECAR: Gamifying Self-Management of Eco-driving. - Aris S. Lalos; Stavros Nousias; Konstantinos Moustakas (ERCIM News, 2018)

Enhancing an Eco-Driving Gamification Platform Through Wearable and Vehicle Sensor Data Integration. - Christos Tselios; Stavros Nousias; Dimitris Bitzas; Dimitrios Amaxilatis; Orestis Akrivopoulos; Aris S. Lalos; Konstantinos Moustakas; Ioannis Chatzigiannakis (AmI, 2019)

Recognition of Breathing Activity and Medication Adherence using LSTM Neural Networks. - Dionysis Pettas; Stavros Nousias; Evangelia I. Zacharaki; Konstantinos Moustakas (BIBE, 2019)

Assessment of medication adherence in respiratory diseases through deep sparse convolutional coding. - Vaggelis Ntalianis; Stavros Nousias; Aris S. Lalos; Michael K. Birbas; Nikolaos Tsafas; Konstantinos Moustakas (ETFA, 2019)

Fluid-structure interaction simulation framework for cerebral aneurysm wall deformation. - Giorgos Papoulias; Stavros Nousias; Konstantinos Moustakas (IISA, 2019)

Fast mesh denoising with data driven normal filtering using deep autoencoders. - Stavros Nousias; Gerasimos Arvanitis; Aris S. Lalos; Konstantinos Moustakas (INDIN, 2019)

Sparse modeling and optimization tools for energy efficient and reliable IoT. - Stavros Nousias; Aris S. Lalos; Athanasios P. Kalogeras; Christos Alexakos; Christos Koulamas; Konstantinos Moustakas (SA, 2019)

Mesh Saliency Detection Using Convolutional Neural Networks. - Stavros Nousias; Gerasimos Arvanitis; Aris S. Lalos; Konstantinos Moustakas (ICME, 2020)

Efficient automated U - Net based tree crown delineation using UAV multi-spectral imagery on embedded devices. - Kostas Blekos; Stavros Nousias; Aris S. Lalos (INDIN, 2020)

A Saliency Aware CNN-Based 3D Model Simplification and Compression Framework for Remote Inspection of Heritage Sites. - Stavros Nousias; Gerasimos Arvanitis; Aris S. Lalos; George Pavlidis; Christos Koulamas; Athanasios P. Kalogeras; Konstantinos Moustakas (IEEE Access, 2020)

Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification. - Vaggelis Ntalianis; Nikolaos D. Fakotakis; Stavros Nousias; Aris S. Lalos; Michael K. Birbas; Evangelia I. Zacharaki; Konstantinos Moustakas (Sensors, 2020)

Accelerating deep neural networks for efficient scene understanding in automotive cyber-physical systems. - Stavros Nousias; Erion-Vasilis M. Pikoulis; Christos Mavrokefalidis; Aris S. Lalos (ICPS, 2021)

Accelerating 3D scene analysis for autonomous driving on embedded AI computing platforms. - Stavros Nousias; Erion-Vasilis M. Pikoulis; Christos Mavrokefalidis; Aris S. Lalos; Konstantinos Moustakas (VLSI-SoC, 2021)

Empowering cyberphysical systems of systems with intelligence. - Stavros Nousias; Nikos Piperigkos; Gerasimos Arvanitis; Apostolos P. Fournaris; Aris S. Lalos; Konstantinos Moustakas (CoRR, 2021)

Fast Mesh Denoising With Data Driven Normal Filtering Using Deep Variational Autoencoders. - Stavros Nousias; Gerasimos Arvanitis; Aris S. Lalos; Konstantinos Moustakas (IEEE Trans. Ind. Informatics, 2021)

Coarse-to-fine defect detection of heritage 3D models using a CNN learning approach. - Gerasimos Arvanitis; Stavros Nousias; Aris S. Lalos; Konstantinos Moustakas (ICPS, 2022)

Robust 4D awareness via diffusion adaptation over Connected and Autonomated vehicles. - Nikos Piperigkos; Stavros Nousias; Aris S. Lalos (IVMSP, 2022)

Revisiting Audio Pattern Recognition for Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite. - Nikos Fakotakis; Stavros Nousias; Gerasimos Arvanitis; Evangelia I. Zacharaki; Konstantinos Moustakas (CoRR, 2022)

Patient-specific modelling, simulation and real time processing for respiratory diseases. - Stavros Nousias (CoRR, 2022)

Respiratory and Drug Actuation Dataset. - Stavros Nousias; Gerasimos Arvanitis; Aggeliki Anastasiou; Konstantinos Moustakas (IEEE DataPort, 2022)

AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite. - Nikolaos D. Fakotakis; Stavros Nousias; Gerasimos Arvanitis; Evangelia I. Zacharaki; Konstantinos Moustakas (IEEE Access, 2023)

Accelerating Deep Neural Networks for Efficient Scene Understanding in Multi-Modal Automotive Applications. - Stavros Nousias; Erion-Vasilis M. Pikoulis; Christos Mavrokefalidis; Aris S. Lalos (IEEE Access, 2023)

Towards predicting Pedestrian Evacuation Time and Density from Floorplans using a Vision Transformer. - Patrick Berggold; Stavros Nousias; Rohit Kumar Dubey; André Borrmann (CoRR, 2023)

Deep Saliency Mapping for 3D Meshes and Applications. - Stavros Nousias; Gerasimos Arvanitis; Aris S. Lalos; Konstantinos Moustakas (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Coordinating robotized construction using advanced robotic simulation: The case of collaborative brick wall assembly. - Mohammad Reza Kolani; Stavros Nousias; André Borrmann (CoRR, 2024)

Towards commands recommender system in BIM authoring tool using transformers. - Changyu Du; Zihan Deng; Stavros Nousias; André Borrmann (CoRR, 2024)

Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction. - Changyu Du; Stavros Nousias; André Borrmann (CoRR, 2024)

Text2BIM: Generating Building Models Using a Large Language Model-based Multi-Agent Framework. - Changyu Du; Sebastian Esser; Stavros Nousias; André Borrmann (CoRR, 2024)

Distributed intelligence in industrial and automotive cyber-physical systems: a review. - Nikos Piperigkos; Alexandros Gkillas; Gerasimos Arvanitis; Stavros Nousias; Aris S. Lalos; Apostolos P. Fournaris; Panagiotis I. Radoglou-Grammatikis; Panagiotis G. Sarigiannidis; Konstantinos Moustakas (Frontiers Robotics AI, 2024)

Predictive modeling: BIM command recommendation based on large-scale usage logs. - Changyu Du; Zihan Deng; Stavros Nousias; André Borrmann (Adv. Eng. Informatics, 2025)

Critical area prediction in train stations using interactive object detection with Detection Transformer. - Patrick Berggold; Simon Brunner; Angelika Kneidl; Stavros Nousias; André Borrmann (Eng. Appl. Artif. Intell., 2025)

VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings. - Andrea Carrara; Stavros Nousias; André Borrmann (J. Comput. Civ. Eng., 2025)

BIMgent: Towards Autonomous Building Modeling via Computer-use Agents. - Zihan Deng; Changyu Du; Stavros Nousias; André Borrmann (CoRR, 2025)