| Application system design - High security C Wagner, C Lesjak, A Aldrian, T Ruprechter, M Maritsch, T Ebner, D Hein, ... IoT Automation, 353-366, 2017 | 234* | 2017 |
| Securing smart maintenance services: Hardware-security and TLS for MQTT C Lesjak, D Hein, M Hofmann, M Maritsch, A Aldrian, P Priller, T Ebner, ... 2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015 | 74 | 2015 |
| FLIRT: A feature generation toolkit for wearable data S Föll, M Maritsch, F Spinola, V Mishra, F Barata, T Kowatsch, E Fleisch, ... Computer Methods and Programs in Biomedicine 212, 106461, 2021 | 57 | 2021 |
| Towards Wearable-based Hypoglycemia Detection and Warning in Diabetes M Maritsch, S Föll, V Lehmann, C Bérubé, M Kraus, S Feuerriegel, ... Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 31 | 2020 |
| Hardware-secured and transparent multi-stakeholder data exchange for industrial IoT C Lesjak, H Bock, D Hein, M Maritsch 2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016 | 25 | 2016 |
| Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning M Maritsch, C Bérubé, M Kraus, V Lehmann, T Züger, S Feuerriegel, ... Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 20 | 2019 |
| Noninvasive hypoglycemia detection in people with diabetes using smartwatch data V Lehmann, S Föll, M Maritsch, E van Weenen, M Kraus, S Lagger, ... Diabetes Care 46 (5), 993-997, 2023 | 14 | 2023 |
| Enabling smart maintenance services: Broker-based equipment status data acquisition and backend workflows M Maritsch, C Lesjak, A Aldrian 2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016 | 14 | 2016 |
| Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving K Koch, M Maritsch, E Van Weenen, S Feuerriegel, M Pfäffli, E Fleisch, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 12 | 2023 |
| Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition S Liu, K Koch, Z Zhou, M Maritsch, X He, E Fleisch, F Wortmann IEEE Internet of Things Journal 9 (14), 11699-11711, 2021 | 9 | 2021 |
| The impact of postbariatric hypoglycemia on driving performance–a randomized, single‐blind, two‐period crossover study in a driving simulator V Lehmann, A Tripyla, D Herzig, J Meier, N Banholzer, M Maritsch, ... Diabetes, Obesity and Metabolism, 2021 | 8 | 2021 |
| Sichere Vernetzung von Geräten in Smart Factories mit MQTT M Maritsch, C Kittl, T Ebner Mensch und Computer 2015–Workshopband, 217-224, 2015 | 8 | 2015 |
| Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes V Lehmann, T Zueger, M Maritsch, M Kraus, C Albrecht, C Bérubé, ... Diabetes, Obesity and Metabolism 25 (6), 1668-1676, 2023 | 7 | 2023 |
| A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development S Föll, A Lison, M Maritsch, K Klingberg, V Lehmann, T Züger, ... JMIR Formative Research 6 (6), e35717, 2022 | 2 | 2022 |
| Gated Domain Units for Multi-source Domain Generalization S Föll, A Dubatovka, E Ernst, M Maritsch, P Okanovic, G Thäter, ... arXiv preprint arXiv:2206.12444, 2022 | 2 | 2022 |
| Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress M Maritsch, S Föll, V Lehmann, N Styger, C Bérubé, M Kraus, ... Diabetes, Obesity and Metabolism 26 (3), 1133-1136, 2024 | 1 | 2024 |
| Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial C Bérubé, VF Lehmann, M Maritsch, M Kraus, S Feuerriegel, F Wortmann, ... JMIR Human Factors 11 (1), e42823, 2024 | 1 | 2024 |
| 234-OR: noninvasive hypoglycemia detection during real car driving using in-vehicle data V Lehmann, T Züger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... Diabetes 71 (Supplement_1), 2022 | 1 | 2022 |
| A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving V Lehmann, M Maritsch, T Züger, A Marxer, C Bérubé, M Kraus, ... Diabetes 70 (S1), 5-LB, 2021 | 1 | 2021 |
| Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving C Bérubé, M Maritsch, VF Lehmann, M Kraus, S Feuerriegel, T Züger, ... JMIR Human Factors 11 (1), e46967, 2024 | | 2024 |
