TY - CHAP A1 - Schoerkhuber, Dominik A1 - Seitner, Florian A1 - Salzbrunn, Benedikt A1 - Gelautz, Margrit A1 - Braun, Georg T1 - Intelligent Film Assistant for Personalized Video Creation on Mobile Devices T2 - Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia (ACM 2017) KW - Mobile Devices KW - Video Creation KW - Film Assistant Y1 - 2018 SP - 210 EP - 215 ER - TY - GEN A1 - Schörkhuber, Dominik A1 - Seitner, Florian A1 - Gelautz, Margrit A1 - Braun, Georg A1 - Salzbrunn, Benedikt T1 - Intelligent Film Assistant for Personalized Video Creation on Mobile Devices KW - Human-Centered Computing KW - Mobile Computing KW - Artificial Intelligence KW - Computer Vision Y1 - ER - TY - CHAP A1 - Pucher, Robert A1 - Salzbrunn, Benedikt A1 - Winter, Veronika A1 - Dolezal, Dominik T1 - Software Usability for Programmers - Lessons Learned from one Decade of Teaching T2 - Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN 2014) KW - Usability KW - Education Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert A1 - Salzbrunn, Benedikt A1 - Winter, Veronika A1 - Dolezal, Dominik T1 - Software Usability for Programmers - Lessons Learned from one Decade of Teaching KW - Usability KW - Education Y1 - 2018 ER - TY - CHAP A1 - Salzbrunn, Benedikt A1 - Dolezal, Dominik A1 - Winter, Veronika A1 - Pucher, Robert T1 - Usability - Software companies still need to learn how to satisfy their users T2 - Proceedings of the International Technology, Education and Development Conference (INTED 2014) KW - Usability Y1 - 2018 ER - TY - CHAP A1 - Winter, Veronika A1 - Salzbrunn, Benedikt A1 - Dolezal, Dominik A1 - Pucher, Robert T1 - Persona Characteristics - To What Extent are Templates suitable for Students T2 - Proceedings of the Forum Medientechnik (FMT 2014) KW - Education KW - Templates Y1 - 2018 ER - TY - CHAP A1 - Salzbrunn, Benedikt A1 - Dolezal, Dominik A1 - Pucher, Robert T1 - User Experience Database: Student-Generated Content in Higher Education T2 - Proceedings of the 6th International Conference of Education, Research and Innovation (ICERI 2013) KW - User Experience KW - Education Y1 - 2018 ER - TY - GEN A1 - Winter, Veronika A1 - Salzbrunn, Benedikt A1 - Dolezal, Dominik A1 - Pucher, Robert T1 - Persona Characteristics - To What Extent are Templates suitable for Students KW - Education KW - Templates Y1 - 2018 ER - TY - GEN A1 - Salzbrunn, Benedikt A1 - Dolezal, Dominik A1 - Winter, Veronika A1 - Pucher, Robert T1 - Usability - Software companies still need to learn how to satisfy their users KW - Usability Y1 - 2018 ER - TY - GEN A1 - Salzbrunn, Benedikt A1 - Dolezal, Dominik A1 - Pucher, Robert T1 - User Experience Database: Student-Generated Content in Higher Education KW - User Experience KW - Education Y1 - 2018 ER - TY - GEN A1 - Wassermann, Jakob A1 - Dziech, Andrzej T1 - Application of Enhanced Hadamard Error Correcting Code in Video-Watermarking and his comparison to Reed-Salomon Code KW - Informatics Y1 - 2018 ER - TY - JOUR A1 - Munsch, Nicolas A1 - Gruarin, Stefanie A1 - Nateqi, Jama A1 - Lutz, Thomas A1 - Binder, Michael A1 - Aberle, Judith H. A1 - Martin, Alistair A1 - Knapp, Bernhard T1 - Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna JF - Wiener Klinische Wochenschrift / The Central European Journal of Medicine N2 - Background: Most clinical studies report the symptoms experienced by those infected with coronavirus disease 2019 (COVID-19) via patients already hospitalized. Here we analyzed the symptoms experienced outside of a hospital setting. Methods: The Vienna Social Fund (FSW; Vienna, Austria), the Public Health Services of the City of Vienna (MA15) and the private company Symptoma collaborated to implement Vienna's official online COVID-19 symptom checker. Users answered 12 yes/no questions about symptoms to assess their risk for COVID-19. They could also specify their age and sex, and whether they had contact with someone who tested positive for COVID-19. Depending on the assessed risk of COVID-19 positivity, a SARS-CoV‑2 nucleic acid amplification test (NAAT) was performed. In this publication, we analyzed which factors (symptoms, sex or age) are associated with COVID-19 positivity. We also trained a classifier to correctly predict COVID-19 positivity from the collected data. Results: Between 2 November 2020 and 18 November 2021, 9133 people experiencing COVID-19-like symptoms were assessed as high risk by the chatbot and were subsequently tested by a NAAT. Symptoms significantly associated with a positive COVID-19 test were malaise, fatigue, headache, cough, fever, dysgeusia and hyposmia. Our classifier could successfully predict COVID-19 positivity with an area under the curve (AUC) of 0.74. Conclusion: This study provides reliable COVID-19 symptom statistics based on the general population verified by NAATs. Keywords: Chatbot; Machine learning; Self-reported; Symptom assessment; Symptom checker. KW - COVID-19 KW - Chatbot KW - Machine learning KW - Self-reported KW - Symptom assessment Y1 - VL - 2022 IS - 134 (9-10) SP - 344 EP - 350 PB - Springer ER - TY - GEN A1 - Hrastansky, Thomas T1 - Phishing: Targeting YouTube Content Creators N2 - Vortrag im Zuge des Security Monats in Form des FHTW Security Potpourri 2022 KW - Phishing KW - IT-Security KW - YouTube Y1 - ER - TY - GEN A1 - Urbauer, Philipp T1 - Data integration and analysis of EHR, PHR and Open Data KW - Data Integration KW - Open Data Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert T1 - Psychologie der Wahrnehmung in der IT KW - Psychology KW - Perception KW - IT Y1 - 2018 ER - TY - CHAP A1 - Wassermann, Jakob A1 - Dziech, Andrzej T1 - Application of Enhanced Hadamard Error Correcting Code in Video-Watermarking and his comparison to Reed-Salomon Code T2 - 21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017) KW - Informatics Y1 - 2018 ER - TY - GEN A1 - Wassermann, Jakob A1 - Dziech, Andrzej A1 - Baran, Remigiusz T1 - Contour Extraction and Compression Scheme Utilizing Both the Transform and Spatial Image Domains KW - Informatics KW - Image Compression Y1 - 2018 ER - TY - GEN A1 - Nimmervoll, Alexander T1 - CalDAV/CardDAV statt ActiveSync für Outlook KW - Email Application KW - Linux Y1 - 2018 ER - TY - CHAP A1 - Mense, Alexander A1 - Steger, Sabrina A1 - Jukic-Sunaric, Dragan A1 - Mészáros, András A1 - Sulek, Matthias T1 - Open Source Based Privacy-Proxy to Restrain Connectivity of Mobile Apps T2 - Proceedings of the 8th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2016) KW - Mobile Devices KW - Connectivity KW - Applications Y1 - 2018 ER - TY - GEN A1 - Mense, Alexander A1 - Steger, Sabrina A1 - Jukic-Sunaric, Dragan A1 - Mészáros, András A1 - Sulek, Matthias T1 - Open Source Based Privacy-Proxy to Restrain Connectivity of Mobile Appso Restrain KW - Mobile Devices KW - Connectivity KW - Applications Y1 - 2018 ER - TY - GEN A1 - Sommer, Thomas T1 - Network as a Service - Technologien, Anwendungen und Lösungen KW - IT Network Y1 - 2018 ER - TY - CHAP A1 - Pucher, Robert T1 - The Perception System of Soccer Playing Robots Helps Students to Unterstand Human Perception T2 - Proceedings of the 5th International Conference on Intelligent Systems, Modelling and Simulation KW - Perception KW - Robotics KW - Soccer Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert T1 - The Perception System of Soccer Playing Robots Helps Students to Unterstand Human Perception KW - Perception KW - Robotics KW - Soccer Y1 - 2018 ER - TY - GEN A1 - Mense, Alexander T1 - Threats and risks for IT systems in healthcare environments KW - Health Applications KW - eHealth KW - Security Y1 - 2018 ER - TY - CHAP A1 - Hausladen, Jürgen A1 - Gerstmayer, Florian A1 - Jerabek, Thomas A1 - Horauer, Martin T1 - Integration of Static Worst-Case Execution Time & Stack Usage Analysis for Embedded Systems Software in a Cloud-Based Development Environment T2 - 13th ASMEE/IEEE International Conference on Mechatronic & Embedded Systems & Applications (MESA 2017) KW - Cloud KW - Stack Usage KW - Embedded Systems Y1 - 2018 ER - TY - CHAP A1 - Hausladen, Jürgen A1 - Gerstmayer, Florian A1 - Kramer, Michael A1 - Horauer, Martin T1 - Methods for Protection of Iintellectual Property in Embedded Software - A Survey T2 - 13th ASMEE/IEEE International Conference on Mechatronic & Embedded Systems & Applications (MESA 2017) KW - Intellectual Property KW - Protection Methods KW - Embedded Systems Y1 - 2018 ER - TY - CHAP A1 - Wenzl, Matthias A1 - Kluka, Daniel T1 - Adding Channel Security to a Fingerprint Verification Chain T2 - 13th ASMEE/IEEE International Conference on Mechatronic & Embedded Systems & Applications (MESA 2017) KW - Security KW - Verification KW - Fingerprints Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert A1 - Schmöllebeck, Fritz T1 - Improving the Usability of Campus Information Systems KW - Information System KW - Usability Y1 - 2018 ER - TY - GEN A1 - Nimmervoll, Alexander A1 - Pasmans, Luc T1 - Nextcloud Outlook Integration. Improve your productivity with Outlook Add-In, Calendar & Contacts KW - Email Application Y1 - 2018 ER - TY - GEN A1 - Nimmervoll, Alexander T1 - Outlook CalDav Synchronizier. The Missing Link in FOSS Exchange Server Replacement KW - Email Application Y1 - 2018 ER - TY - GEN A1 - Nimmervoll, Alexander T1 - Open Source Exchange Ersatz im Enterprise Umfeld KW - Open Source Y1 - 2018 ER - TY - CHAP A1 - Allamehzadeh, Arman A1 - Aminian, Mohammad Sadegh A1 - Mostaed Mahboob, Mehran T1 - Online Traffic Management System (OTMS): Vehicle Counting via Computer Vision T2 - Proceedings of the 16th International conference on Computer Aided Systems Theory (Eurocast 2017) KW - Traffic Management KW - Video Surveillance Y1 - 2018 ER - TY - GEN A1 - Urbauer, Philipp T1 - New Challenges in Europe - Threats and Risks for IT Systems in Healthcare Environments KW - Health Applications KW - Security KW - Europe Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert T1 - How to increase Usability and lower development costs KW - Usability KW - Costs Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert T1 - Mehr Usability zu geringeren Entwicklungskosten KW - Usability KW - Costs Y1 - 2018 ER - TY - GEN A1 - Pucher, Robert T1 - The Myth of Software Usability KW - Usability Y1 - 2018 ER - TY - CHAP A1 - Pucher, Robert A1 - Schmöllebeck, Fritz T1 - Improving the Usability of Campus Information Systems T2 - Proceedings of the 7th International Technology, Education and Development Conference (INTED 2013) KW - Information System KW - Usability Y1 - 2018 ER - TY - GEN A1 - Friedl, Werner A1 - Kupzog, Friederich A1 - Sommer, Thomas A1 - Vögel, Stefan T1 - Anforderungen der Stromnetze an IKT KW - Power Grid KW - ICT Y1 - 2018 ER - TY - JOUR A1 - Sommer, Thomas T1 - Informations- und Kommunikationstechnologien im Smart Metering JF - e&i Elektrotechnik und Informationstechnik KW - Information Technology KW - Communication Y1 - 2018 IS - 6 SP - 41 EP - 42 ER - TY - JOUR A1 - Groen-Xu, Moqi A1 - Boes, Gregor A1 - Teixeira, Pedro A. A1 - Voigt, Thomas A1 - Knapp, Bernhard T1 - Short-term Incentives of Research Evaluations: Evidence from the UK Research Excellence Framework JF - Research Policy KW - research funding systems KW - evaluation effects KW - economics of science KW - incentives KW - university Y1 - VL - Vol. 52 IS - Issue 6 ER - TY - GEN A1 - Knapp, Bernhard T1 - AI Engineering @ FHTW KW - Secure Services KW - eHealth & Mobility Y1 - ER - TY - GEN A1 - Knapp, Bernhard T1 - Keynote Lecture: Der Weg eines Bioinformatikers der ersten Stunde KW - Secure Services KW - eHealth & Mobility Y1 - ER - TY - GEN A1 - Knapp, Bernhard T1 - From academia to industry and back KW - Secure Services KW - eHealth & Mobility Y1 - ER - TY - CHAP A1 - Wöber, Wilfried A1 - Peschak, Bernhard A1 - Otrebski, Richard T1 - ASK: Entwicklung eines modularen Systems zur Automatisierung landwirtschaftlicher Maschinen T2 - Intelligente Systeme - Stand der Technik und neue Möglichkeiten. Lecture Notes in Informatics KW - Automation KW - Agriculture Y1 - 2018 SP - 221 EP - 224 CY - Bonn ER - TY - GEN A1 - Rohatsch, Lukas T1 - Technical perspective of Data Spaces KW - Data Spaces KW - FIWARE KW - iSHARE KW - i4TRUST KW - nGAIA-X Y1 - ER - TY - JOUR A1 - Urbauer, Philipp A1 - Kmenta, Maximilian A1 - Frohner, Matthias A1 - Mense, Alexander A1 - Sauermann, Stefan T1 - Propose of Standards based IT Architecture to enrich the Value of Allergy Data by Telemonitoring Data JF - Stud Health Technol Inform KW - IT Standards Y1 - 2018 IS - 236 SP - 136 EP - 143 ER - TY - JOUR A1 - Frohner, Matthias A1 - Urbauer, Philipp A1 - Sauermann, Stefan T1 - Bluetooth Low Energy Peripheral Android Health App for Educational and Interoperability Testing JF - Stud Health Technol Inform KW - Health Applications KW - Education KW - Mobile Devices Y1 - 2018 IS - 236 SP - 336 EP - 342 ER - TY - CHAP A1 - Mense, Alexander A1 - Urbauer, Philipp A1 - Sauermann, Stefan T1 - Evaluation of Standards for Access Control Enabling PHR-S Federation T2 - Informatics Empowers Healthcare Transformation. Studies in Health Technology and Informatics KW - IT Standards KW - eHealth Y1 - 2018 PB - IOS Press ER - TY - JOUR A1 - Urbauer, Philipp A1 - Sauermann, Stefan A1 - Frohner, Matthias A1 - Forjan, Mathias A1 - Pohn, Birgit A1 - Mense, Alexander T1 - Applicability of IHE/Continua components for PHR systems: Learning from experiences JF - Computers in biology and medicine KW - PHR Y1 - 2018 ER - TY - CHAP A1 - Kaufmann, Christian A1 - Wahl, Harald T1 - A Technical Support to Enrich Existing Software Development Courses, with the Additional Topic of Secure Coding T2 - In Proceedings of the iiWAS2021, 23rd International Conference on Information Integration and Web-based Applications & Services, Linz, Austria, November 30 – December 01, 2021 KW - Secure Code KW - Education KW - Secure Software Engineering Y1 - 2021 SP - 519 EP - 524 ER - TY - CHAP A1 - Wahl, Harald A1 - Winiwarter, Werner T1 - Towards A Generic Model for the Integrated Intelligent Computer-Assisted Language Learning (iiCALL) Environment T2 - Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2013) KW - Language Learning KW - Computer Environment Y1 - 2018 SP - 729 EP - 733 ER - TY - CHAP A1 - Kaufmann, Christian A1 - Wahl, Harald A1 - Balog, Peter A1 - Mense, Alexander T1 - The Importance of Security Aware Children - What Can We Do? T2 - Proceedings of the 2013 Clute Institute International Academic Conference KW - Children KW - Security Awareness Y1 - 2018 SP - 218 EP - 224 ER - TY - GEN A1 - Wahl, Harald A1 - Winiwarter, Werner T1 - Towards A Generic Model for the Integrated Intelligent Computer-Assisted Language Learning (iiCALL) Environment KW - Language Learning KW - Computer Environment Y1 - 2018 ER - TY - GEN A1 - Kaufmann, Christian A1 - Wahl, Harald A1 - Balog, Peter A1 - Mense, Alexander T1 - The Importance of Security Aware Children - What Can We Do? KW - Children KW - Security Awareness Y1 - 2018 ER - TY - CHAP A1 - Wahl, Harald A1 - Kaufmann, Christian A1 - Mense, Alexander A1 - Eckkrammer, Florian A1 - Gollner, Helmut A1 - Balog, Peter A1 - Kohmaier, Felix A1 - Schleinzer, Daniela A1 - Török, Aniko T1 - An Evaluation of Usage and Spreading Of New Technologies In Business And Professional Life T2 - Proceedings of the 2013 Clute Institute International Academic Conference KW - Innovation KW - Technology Usage Y1 - 2018 ER - TY - GEN A1 - Wahl, Harald A1 - Kaufmann, Christian A1 - Mense, Alexander A1 - Eckkrammer, Florian A1 - Gollner, Helmut A1 - Balog, Peter A1 - Kohmaier, Felix A1 - Schleinzer, Daniela A1 - Török, Aniko T1 - An Evaluation of Usage and Spreading of New Technologies In Business And Professional Life KW - Innovation KW - Technology Usage Y1 - ER - TY - CHAP A1 - Lenz, Gregor A1 - Frohner, Matthias A1 - Sauermann, Stefan A1 - Forjan, Mathias T1 - LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle T2 - Proceedings of eHealth 2014 - Health Informatics Meets Informatics KW - Lung Simulator Y1 - 2018 ER - TY - GEN A1 - Lenz, Gregor A1 - Frohner, Matthias A1 - Sauermann, Stefan A1 - Forjan, Mathias T1 - LUMOR: An App for Standardized Control and Monitoring of a Porcine Lung and its Nutrient Cycle KW - Lung Simulator Y1 - 2018 ER - TY - CHAP A1 - Wahl, Harald T1 - Educational Impacts of the Intelligent Integrated Computer-Assisted Language Learning (iiCALL) Environment T2 - Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications (EdMedia 2013) KW - Education KW - Computer Environment KW - Language Learning Y1 - 2018 SP - 420 EP - 425 ER - TY - JOUR A1 - Wahl, Harald A1 - Holweg, Gerd A1 - Mense, Alexander A1 - Kaufmann, Christian T1 - Heterogenous IT Knowledge of Students: the Didactic Approach how to meet it in the Interdisciplinary Course Program Intelligent Transport Systems JF - Journal of Systemics, Cybernetics and Informatics KW - Education KW - IT Knowledge KW - Didactics KW - Intelligent Transport Systems Y1 - 2018 VL - 11 IS - 1 SP - 10 EP - 14 ER - TY - CHAP A1 - Wahl, Harald A1 - Winiwarter, Werner T1 - Exemplary Use Cases Based on the Generic Data Model for the Integrated Intelligent Computer-Assisted Language Learning (iiCALL) Environment T2 - Proceedings of the 16th Conference on Information Integration and Web-based Applications & Services (iiWAS 2014) KW - Language Learning KW - Computer Environment Y1 - 2018 SP - 27 EP - 34 ER - TY - CHAP A1 - Wahl, Harald A1 - Galler, Rudolf A1 - Winiwarter, Werner T1 - Extending the Integrated Intelligent Computer-Assisted Language Learning (iiCALL) Environment T2 - Proceedings of the 18th International Conference on Information Integration and Web-based Applications & Services KW - Language Learning KW - Computer Environment Y1 - 2018 SP - 219 EP - 222 ER - TY - THES A1 - Wahl, Harald T1 - An Intelligent Integrated Computer-Assisted Language Learning (iiCALL) Environment KW - Language Learning KW - Computer Environment Y1 - 2018 ER - TY - GEN A1 - Rohatsch, Lukas A1 - Ballner, Mathias A1 - Wahl, Harald T1 - Multimodal Information Screen - Towards an Awareness Raising for the Use of Public Transport KW - Public Transport KW - Information Screen Y1 - 2018 ER - TY - GEN A1 - Wahl, Harald A1 - Galler, Rudolf A1 - Reicher, Lukas A1 - Klauser, Christian A1 - Kaufmann, Christian A1 - Mense, Alexander T1 - Obtaining Parking Information and Exporting it for Broadcasting Using TPEG, TMC, and DATEX II KW - TTI KW - TMC KW - Datex II KW - TISA KW - TALEND Y1 - ER - TY - GEN A1 - Riess, Bernhard A1 - David, Veronika A1 - Scherer, Matthias A1 - Kotzian, Stefan A1 - Forjan, Mathias T1 - Development and Usability Test of an Innovative Low-Cost Rehabilitation Game for the Upper Extremities of Neurological Patients KW - Neurology KW - Health Applications KW - Rehabilitation Y1 - 2018 ER - TY - CHAP A1 - Mense, Alexander A1 - Steindl, Clarissa A1 - Wahl, Harald T1 - Integration of Security and Privacy into Project- and Process Management T2 - Proceedings of the International Academic Conference on Business (IACB 2017) KW - Privacy KW - Security KW - Project Management Y1 - 2018 ER - TY - GEN A1 - Herzog, Juliane A1 - Sauermann, Stefan A1 - Mense, Alexander A1 - Forjan, Mathias A1 - Urbauer, Philipp T1 - Development of Knowledge Profiles for International eHealth eLearning Courses KW - Knowledge Profiles KW - Education KW - eLearning KW - eHealth Y1 - 2018 ER - TY - CHAP A1 - Bululukova, Darya A1 - Wahl, Harald T1 - Towards a sustainable smart cities integration in teaching and research T2 - Proceedings of Smart Cities and Green ICT Systems (Smart Greens 2015) KW - Smart City KW - Education Y1 - 2018 ER - TY - CHAP A1 - Herzog, Juliane A1 - Sauermann, Stefan A1 - Mense, Alexander A1 - Forjan, Mathias A1 - Urbauer, Philipp T1 - Development of Knowledge Profiles for International eHealth eLearning Courses T2 - Proceedings of Medical Informatics in Europe (MIE 2015) - Digital Healthcare Empowering Europeans KW - Knowledge Profiles KW - Education KW - eLearning KW - eHealth Y1 - 2018 ER - TY - GEN A1 - Bululukova, Darya A1 - Wahl, Harald T1 - Towards a sustainable smart cities integration in teaching and research KW - Smart City KW - Education Y1 - 2018 ER - TY - JOUR A1 - Wöber, Wilfried A1 - Mehnen, Lars A1 - Curto, Manuel A1 - Dias Tibihika, Papius A1 - Tesfaye, Genanaw A1 - Meimberg, Harald T1 - Investigating Shape Variation Using Generalized Procrustes Analysis and Machine Learning JF - Applied Sciences N2 - Abstract: The biological investigation of a population’s shape diversity using digital images is typi- cally reliant on geometrical morphometrics, which is an approach based on user-defined landmarks. In contrast to this traditional approach, the progress in deep learning has led to numerous applications ranging from specimen identification to object detection. Typically, these models tend to become black boxes, which limits the usage of recent deep learning models for biological applications. However, the progress in explainable artificial intelligence tries to overcome this limitation. This study compares the explanatory power of unsupervised machine learning models to traditional landmark-based approaches for population structure investigation. We apply convolutional autoencoders as well as Gaussian process latent variable models to two Nile tilapia datasets to investigate the latent structure using consensus clustering. The explanatory factors of the machine learning models were extracted and compared to generalized Procrustes analysis. Hypotheses based on the Bayes factor are formulated to test the unambiguity of population diversity unveiled by the machine learning models. The findings show that it is possible to obtain biologically meaningful results relying on unsupervised machine learning. Furthermore we show that the machine learning models unveil latent structures close to the true population clusters. We found that 80% of the true population clusters relying on the convolutional autoencoder are significantly different to the remaining clusters. Similarly, 60% of the true population clusters relying on the Gaussian process latent variable model are significantly different. We conclude that the machine learning models outperform generalized Procrustes analysis, where 16% of the population cluster was found to be significantly different. However, the applied machine learning models still have limited biological explainability. We recommend further in-depth investigations to unveil the explanatory factors in the used model. Keywords: generalized procrustes analysis; machine learning; convolutional autoencoder; Gaussian process latent variable models KW - generalized procrustes analysis KW - machine learning KW - convolutional autoencoder KW - Gaussian process latent variable models Y1 - VL - 2022 IS - 12(6), 3158 ER - TY - CHAP A1 - Allamehzadeh, Arman A1 - Urdiales de la Parra, Jesus A1 - Hussein, Ahmed A1 - Garcia, Fernando A1 - Olaverri-Monreal, Cristina T1 - Cost-Efficient Driver State and Road Conditions Monitoring System for Conditional Automation T2 - Proceedings of the IEEE 2017 Intelligent Vehicles Symposium KW - Autonomous Driving KW - Road Monitoring KW - Driver Monitoring Y1 - 2018 SP - 1497 EP - 1502 ER - TY - GEN A1 - Validi, Aso A1 - Ludwig, Thomas A1 - Olaverri-Monreal, Cristina T1 - Analyzing the Effects of V2X and ADAS-ACC Penetration Rates on the Level of Road Safety in Intersections; Evaluating Simulation Platforms SUMO and Scene Suite KW - Road Safety KW - Autonomous Driving Y1 - 2018 ER - TY - CHAP A1 - Capalar, Jusuf A1 - Nemec, Aleksander A1 - Zahradnik, Christoph A1 - Olaverri-Monreal, Cristina T1 - Telematics Solution for Optimal Passenger Distribution at Metro Stations T2 - Proceedings of the 16th International conference on Computer Aided Systems Theory (Eurocast 2017) KW - Traffic Management KW - Telematics Y1 - 2018 ER - TY - GEN A1 - Aminian, Mohammad Sadegh A1 - Allamehzadeh, Arman A1 - Mostaed Mahboob, Mehran A1 - Olaverri-Monreal, Cristina T1 - Smartphone-Based Traffic Sign Detection Using OpenCV KW - Mobile Devices KW - Traffic Signs Y1 - 2018 ER - TY - GEN A1 - Mostaed Mahboob, Mehran A1 - Aldabas, Khaled A1 - Olaverri-Monreal, Cristina T1 - Approaching Emergency Vehicle Warning (AEVW) KW - Autonomous Driving Y1 - 2018 ER - TY - GEN A1 - Ahmadi-Pour, Morvarid A1 - Ludwig, Thomas A1 - Olaverri-Monreal, Cristina T1 - Statistical Modelling of Multi-Sensor Data Fusion KW - Statistics KW - Sensor Data Y1 - 2018 ER - TY - CHAP A1 - Filgueiras, Joao A1 - Rossetti, Rosaldo A1 - Kokkinogenis, Zafeiris A1 - Ferreira, Michel A1 - Olaverri-Monreal, Cristina A1 - Paiva, Marco A1 - Tavares, Joao Manuel A1 - Gabriel, Joaquim T1 - Sensing Bluetooth mobility data: potentials and applications T2 - Computer-based Modelling and Optimization in Transportation KW - Mobility Data Y1 - 2018 SP - 419 EP - 431 ER - TY - CHAP A1 - Biurrun-Quel, Carlos A1 - Serrano-Arriezu, Luis A1 - Olaverri-Monreal, Cristina T1 - Microscopic Driver-Centric Simulator: Linking Unity3D and SUMO T2 - Recent Advances in Information Systems and Technologies KW - Driving Simulation Y1 - 2018 SP - 851 EP - 860 PB - Springer ER - TY - CHAP A1 - Goncalves, Joel A1 - Olaverri-Monreal, Cristina A1 - Bengler, Klaus T1 - Driver Capability Monitoring in Highly Automated Driving: from state to capability monitoring T2 - Proceedings of the 18th International Conference on Intelligent Transportation Systems (ITSC 2015) KW - Autonomous Driving KW - Driver Capability Y1 - 2018 SP - 2329 EP - 2334 ER - TY - CHAP A1 - Mostaed Mahboob, Mehran A1 - Aldabas, Khaled A1 - Olaverri-Monreal, Cristina T1 - Approaching Emergency Vehicle Warning (AEVW) T2 - Proceedings of the 16th International conference on Computer Aided Systems Theory (Eurocast 2017) KW - Autonomous Driving Y1 - 2018 ER - TY - JOUR A1 - Raksincharoensak, Pongsathorn A1 - Olaverri-Monreal, Cristina T1 - Special Issue on Future Active Safety Technology towards Zero-Traffic Accidents (FAST-zero) JF - IEEE Intelligent Transportation Systems Magazine KW - Autonomous Driving KW - Safety Y1 - 2018 VL - 9 IS - 1 SP - 4 EP - 6 ER - TY - CHAP A1 - Aminian, Mohammad Sadegh A1 - Allamehzadeh, Arman A1 - Mostaed Mahboob, Mehran A1 - Olaverri-Monreal, Cristina T1 - Smartphone-Based Traffic Sign Detection Using OpenCV T2 - Proceedings of the 16th International conference on Computer Aided Systems Theory (Eurocast 2017) KW - Mobile Devices KW - Traffic Signs Y1 - 2018 ER - TY - CHAP A1 - Michaeler, Florian A1 - Olaverri-Monreal, Cristina T1 - 3D Driving Simulator with VANET Capabilities to Assess Cooperative Systems T2 - Proceedings of the IEEE 2017 Intelligent Vehicles Symposium KW - Driving Simulation Y1 - 2018 SP - 999 EP - 1004 ER - TY - CHAP A1 - Schwarz, Stephanie A1 - Sellitsch, David A1 - Tscheligi, Manfred A1 - Graser, Anita A1 - Olaverri-Monreal, Cristina T1 - Enhancing Navigation Systems for Pedestrians T2 - Proceedings of Vienna Walk21 KW - Navigation KW - Pedestrian Y1 - 2018 ER - TY - GEN A1 - Capalar, Jusuf A1 - Nemec, Aleksander A1 - Zahradnik, Christoph A1 - Olaverri-Monreal, Cristina T1 - Telematics Solution for Optimal Passenger Distribution at Metro Stations KW - Traffic Management KW - Telematics Y1 - 2018 ER - TY - GEN A1 - Allamehzadeh, Arman A1 - Aminian, Mohammad Sadegh A1 - Mostaed Mahboob, Mehran A1 - Olaverri-Monreal, Cristina T1 - Online Traffic Management System (OTMS): Vehicle Counting via Computer Vision KW - Traffic Management KW - Video Surveillance Y1 - 2018 ER - TY - CHAP A1 - Mehnen, Lars A1 - Pohn, Birgit A1 - Blaickner, Matthias A1 - Mandl, Thomas A1 - Dregely, Isabel T1 - Teaching & Learning Analytics for Data-Based Optimization of Teaching and Learning Processes in Courses with Blended Learning T2 - 2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2022 N2 - Learning Management Systems (LMS), such as Moodle, enable the rapid progress of digitisation in teaching, which is no longer only taking place in the lecture hall, but increasingly “online” and asynchronously. New didactic concepts (blended learning, “flipped classroom”) consist of alternating self-learning and face-to-face phases, with the former taking place in the LMS, i.e. online. However, no analysis has yet been carried out as to how students act with the material in the self-learning phase, or the teachers are not provided with any information about the learning progress of the students during the self-learning phase. In this paper, concepts of learning and teaching analytics are presented to answer these questions and to integrate the measures derived from them into the teaching processes in a sustainable manner. KW - teaching analytics KW - learning analytics KW - learning management systems KW - artificial intelligence KW - Learning management systems Y1 - 2022 SN - 978-953-290-117-7 PB - IEEE ER - TY - JOUR A1 - Olaverri-Monreal, Cristina A1 - Jizba, Tomá T1 - Human Factors in the Design of Human-Machine Interaction: An Overview Emphasizing V2X Communication JF - IEEE Transactions on Intelligent Vehicles KW - Human-Machine Interaction KW - Communication Y1 - 2018 VL - 1 IS - 4 SP - 1 EP - 12 ER - TY - CHAP A1 - Olaverri-Monreal, Cristina A1 - Gvozdic, Marko A1 - Muthurajan, Bharathiraja T1 - Effect on Driving Performance of Two Visualization Paradigms for Rear-End Collision Avoidance T2 - Proceedings of the IEEE 2017 Intelligent Transportation Systems Conference KW - Autonomous Driving KW - Collision Avoidance Y1 - 2018 SP - 37 EP - 42 ER - TY - GEN A1 - Allamehzadeh, Arman A1 - Urdiales de la Parra, Jesus A1 - Hussein, Ahmed A1 - Garcia, Fernando A1 - Olaverri-Monreal, Cristina T1 - Cost-Efficient Driver State and Road Conditions Monitoring System for Conditional Automation KW - Autonomous Driving KW - Road Monitoring KW - Driver Monitoring Y1 - 2018 ER - TY - CHAP A1 - Ahmadi-Pour, Morvarid A1 - Ludwig, Thomas A1 - Olaverri-Monreal, Cristina T1 - Statistical Modelling of Multi-Sensor Data Fusion T2 - Proceedings of the IEEE 2017 International Conference on Vehicular Electronics and Safety (ICVES 2017) KW - Statistics KW - Sensor Data Y1 - 2018 SP - 196 EP - 201 ER - TY - GEN A1 - Michaeler, Florian A1 - Olaverri-Monreal, Cristina T1 - 3D Driving Simulator with VANET Capabilities to Assess Cooperative Systems KW - Driving Simulation Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina T1 - Human Factors and Intelligent Vehicle Technologies KW - Autonomous Driving KW - Human Factor Y1 - 2018 ER - TY - CHAP A1 - Validi, Aso A1 - Ludwig, Thomas A1 - Olaverri-Monreal, Cristina T1 - Analyzing the Effects of V2X and ADAS-ACC Penetration Rates on the Level of Road Safety in Intersections; Evaluating Simulation Platforms SUMO and Scene Suite T2 - Proceedings of the IEEE 2017 International Conference on Vehicular Electronics and Safety (ICVES 2017) KW - Road Safety KW - Autonomous Driving Y1 - 2018 SP - 38 EP - 43 ER - TY - GEN A1 - Schwarz, Stephanie A1 - Sellitsch, David A1 - Tscheligi, Manfred A1 - Graser, Anita A1 - Olaverri-Monreal, Cristina T1 - Enhancing Navigation Systems for Pedestrians KW - Navigation KW - Pedestrian Y1 - 2018 ER - TY - CHAP A1 - Winzer, Oliver A1 - Conti, Antonia S. A1 - Olaverri-Monreal, Cristina A1 - Bengler, Klaus T1 - Modifications of driver attention post-distraction: a detection response task study T2 - HCI in Business, Government and Organizations. Interacting with Information Systems. HCIBGO 2017 KW - Driver Attention Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina A1 - Gvozdic, Marko A1 - Muthurajan, Bharathiraja T1 - Effect on Driving Performance of Two Visualization Paradigms for Rear-End Collision Avoidance KW - Autonomous Driving KW - Collision Avoidance Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina T1 - Road Safety & Human Factor - Autonomous Vehicles in Mixed Traffic KW - Autonomous Driving KW - Road Safety KW - Human Factor Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina T1 - Human Perception of Driving Environment and the Role of Intelligent Traffic Solutions KW - Autonomous Driving KW - Human Perception Y1 - 2018 ER - TY - GEN A1 - Olaverri-Monreal, Cristina T1 - Future challenges and opportunities: Urbanization, mobility and sustainability KW - Urbanization KW - Mobility KW - Sustainability Y1 - 2018 ER - TY - JOUR A1 - Wöber, Wilfried A1 - Mehnen, Lars A1 - Sykacek, Peter A1 - Meimberg, Harald T1 - Investigating Explanatory Factors of Machine Learning Models for Plant Classification JF - Plants N2 - Recent progress in machine learning and deep learning has enabled the implementation of plant and crop detection using systematic inspection of the leaf shapes and other morphological characters for identification systems for precision farming. However, the models used for this approach tend to become black-box models, in the sense that it is difficult to trace characters that are the base for the classification. The interpretability is therefore limited and the explanatory factors may not be based on reasonable visible characters. We investigate the explanatory factors of recent machine learning and deep learning models for plant classification tasks. Based on a Daucus carota and a Beta vulgaris image data set, we implement plant classification models and compare those models by their predictive performance as well as explainability. For comparison we implemented a feed forward convolutional neuronal network as a default model. To evaluate the performance, we trained an unsupervised Bayesian Gaussian process latent variable model as well as a convolutional autoencoder for feature extraction and rely on a support vector machine for classification. The explanatory factors of all models were extracted and analyzed. The experiments show, that feed forward convolutional neuronal networks (98.24% and 96.10% mean accuracy) outperforms the Bayesian Gaussian process latent variable pipeline (92.08% and 94.31% mean accuracy) as well as the convolutional autoenceoder pipeline (92.38% and 93.28% mean accuracy) based approaches in terms of classification accuracy, even though not significant for Beta vulgaris images. Additionally, we found that the neuronal network used biological uninterpretable image regions for the plant classification task. In contrast to that, the unsupervised learning models rely on explainable visual characters. We conclude that supervised convolutional neuronal networks must be used carefully to ensure biological interpretability. We recommend unsupervised machine learning, careful feature investigation, and statistical feature analysis for biological applications. View Full-Text Keywords: deep learning; machine learning; plant leaf morphometrics; explainable AI KW - deep learning KW - machine learning KW - plant leaf morphometrics KW - explainable AI Y1 - VL - 2021 IS - 10(12):2674 ER - TY - JOUR A1 - Marc, Zobel A1 - Knapp, Bernhard A1 - Nateqi, Jama A1 - Martin, Alistair T1 - Correlating global trends in COVID-19 cases with online symptom checker self-assessments JF - PLOS ONE N2 - Background Online symptom checkers are digital health solutions that provide a differential diagnosis based on a user’s symptoms. During the coronavirus disease 2019 (COVID-19) pandemic, symptom checkers have become increasingly important due to physical distance constraints and reduced access to in-person medical consultations. Furthermore, various symptom checkers specialised in the assessment of COVID-19 infection have been produced. Objectives Assess the correlation between COVID-19 risk assessments from an online symptom checker and current trends in COVID-19 infections. Analyse whether those correlations are reflective of various country-wise quality of life measures. Lastly, determine whether the trends found in symptom checker assessments predict or lag relative to those of the COVID-19 infections. Materials and methods In this study, we compile the outcomes of COVID-19 risk assessments provided by the symptom checker Symptoma (www.symptoma.com) in 18 countries with suitably large user bases. We analyse this dataset’s spatial and temporal features compared to the number of newly confirmed COVID-19 cases published by the respective countries. Results We find an average correlation of 0.342 between the number of Symptoma users assessed to have a high risk of a COVID-19 infection and the official COVID-19 infection numbers. Further, we show a significant relationship between that correlation and the self-reported health of a country. Lastly, we find that the symptom checker is, on average, ahead (median +3 days) of the official infection numbers for most countries. Conclusion We show that online symptom checkers can capture the national-level trends in coronavirus infections. As such, they provide a valuable and unique information source in policymaking against pandemics, unrestricted by conventional resources. KW - Online symptom checkers KW - coronavirus disease Y1 - U6 - http://dx.doi.org/https://doi.org/10.1371/journal.pone.0281709 VL - 18 IS - 2 ER - TY - JOUR A1 - Kierspel, Thomas A1 - Kadek, Alan A1 - Barran, Perdita A1 - Bellina, Bruno A1 - Bijedic, Adi A1 - Brodmerkel, Maxim N. A1 - Commandeur, Jan A1 - Caleman, Carl A1 - Damjanovic, Tomislav A1 - Dawod, Ibrahim A1 - De Santis, Emiliano A1 - Lekkas, Alexandros A1 - Lorenzen, Kristina A1 - López Morillo, Luis A1 - Mandl, Thomas A1 - Marklund, Erik G. A1 - Papanastasiou, Dimitris A1 - Ramakers, Lennart A. I. A1 - Schweikhard, Lutz A1 - Simke, Florian A1 - Sinelnikova, Anna A1 - Smyrnakis, Athanasios A1 - Timneanu, Nicusor A1 - Uetrecht, Charlotte T1 - Coherent diffractive imaging of proteins and viral capsids: simulating MS SPIDOC JF - Analytical and Bioanalytical Chemistry N2 - MS SPIDOC is a novel sample delivery system designed for single (isolated) particle imaging at X-ray Free-Electron Lasers that is adaptable towards most large-scale facility beamlines. Biological samples can range from small proteins to MDa particles. Following nano-electrospray ionization, ionic samples can be m/z-filtered and structurally separated before being oriented at the interaction zone. Here, we present the simulation package developed alongside this prototype. The first part describes how the front-to-end ion trajectory simulations have been conducted. Highlighted is a quadrant lens; a simple but efficient device that steers the ion beam within the vicinity of the strong DC orientation field in the interaction zone to ensure spatial overlap with the X-rays. The second part focuses on protein orientation and discusses its potential with respect to diffractive imaging methods. Last, coherent diffractive imaging of prototypical T = 1 and T = 3 norovirus capsids is shown. We use realistic experimental parameters from the SPB/SFX instrument at the European XFEL to demonstrate that low- resolution diffractive imaging data (q < 0.3 nm −1 ) can be collected with only a few X-ray pulses. Such low-resolution data are sufficient to distinguish between both symmetries of the capsids, allowing to probe low abundant species in a beam if MS SPIDOC is used as sample delivery. KW - SPI KW - X-ray KW - Native MS KW - Protein complex structure KW - Simulation Y1 - U6 - http://dx.doi.org/https://doi.org/10.1007/s00216-023-04658-y VL - 2023 IS - 415 SP - 4209 EP - 4220 ER - TY - CHAP A1 - Steiner, Fabian A1 - Lueger, Bernhard A1 - Wallisch, Bernhard A1 - Polzer, Thomas T1 - Automated Evaluation System for Microcontroller Assignments T2 - 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait N2 - As IoT systems have increased the number of deployed embedded devices drastically and most of these devices are used in safety or security critical environments, the education of embedded software engineers is more important than ever. A critical part of their education is the development of their intuition for secure and safe software. In this paper 1 1 This research was funded by the city of Vienna (MA-23 call 21, project no. 9). we present an evaluation system used to generate fast and accurate feedback for student submission in, but not limited to, embedded software development courses. The system can be used as a first feedback loop to outline to the students where problems exist in their code and give them the opportunity to analyze and correct their errors. These extra steps ensure that the students can and will be notified early about their mistakes and can search for correct solutions, supporting the student's learning process. We present the implementation of the system and analyze its deployment in a microcontroller software development lecture. This analysis was done by means of surveys of the students and lecturers as well as a statistical analysis of the student submissions. The results show that the students made use of this extra features and even would prefer to have this feedback in other software development lectures as well. KW - Student-Centered Learning Environments KW - Virtual and Remote Labs and Classrooms Y1 - SN - 979-8-3503-9943-1 U6 - http://dx.doi.org/https://doi.org/10.1109/EDUCON54358.2023.10125112 SN - 2165-9567 ER - TY - GEN A1 - Urbauer, Philipp A1 - Zeidler, Doris T1 - Linked Care – Neueste Entwicklungen in der durchgehenden Informationsversorgung der mobilen Pflege und Betreuung KW - eHealth KW - mobile Pflege KW - Interoperability Y1 - ER - TY - RPRT A1 - Wildner, Karl A1 - Rohatsch, Lukas T1 - Mobility as a Service für die Mobilitätswende in Österreich KW - Mobility as a Service KW - intermodale Reisen KW - Prototyp Y1 - 2024 ER - TY - GEN A1 - Knapp, Bernhard T1 - ChatGPT 4.0 – friend or foe? KW - ChatGPT Y1 - ER - TY - GEN A1 - Eibl, Gregor A1 - Rohatsch, Lukas T1 - Open Data Workshop KW - Open Data Y1 - 2024 ER - TY - GEN A1 - Knapp, Bernhard T1 - ChatGPT – Freund oder Feind? KW - ChatGPT Y1 - ER - TY - GEN A1 - Knapp, Bernhard T1 - ChatGPT – friend or foe? KW - ChatGPT Y1 - ER - TY - GEN A1 - Knapp, Bernhard T1 - ChatGPT – Freund oder Feind? KW - ChatGPT Y1 - 2024 ER - TY - GEN A1 - Knapp, Bernhard T1 - ChatGPT 4.0 – friend or foe? KW - ChatGPT Y1 - 2024 ER -