| Mlops challenges in multi-organization setup: Experiences from two real-world cases T Granlund, A Kopponen, V Stirbu, L Myllyaho, T Mikkonen 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI …, 2021 | 51 | 2021 |
| Systematic literature review of validation methods for AI systems L Myllyaho, M Raatikainen, T Männistö, T Mikkonen, JK Nurminen Journal of Systems and Software 181, 111050, 2021 | 31 | 2021 |
| On misbehaviour and fault tolerance in machine learning systems L Myllyaho, M Raatikainen, T Männistö, JK Nurminen, T Mikkonen Journal of Systems and Software 183, 111096, 2022 | 21 | 2022 |
| Improved management of issue dependencies in issue trackers of large collaborative projects M Raatikainen, Q Motger, CM Lüders, X Franch, L Myllyaho, E Kettunen, ... IEEE Transactions on Software Engineering, 2022 | 7 | 2022 |
| Node co-activations as a means of error detection—Towards fault-tolerant neural networks L Myllyaho, JK Nurminen, T Mikkonen Array 15, 100201, 2022 | 7 | 2022 |
| Coping with Inconsistent Models of Requirements. J Tiihonen, M Raatikainen, L Myllyaho, CM Lüders, T Männistö ConfWS, 1-8, 2019 | 4 | 2019 |
| Systematic Literature Review on Cost-Efficient Deep Learning A Klemetti, M Raatikainen, L Myllyaho, T Mikkonen, JK Nurminen IEEE Access, 2023 | 1 | 2023 |
| On Quality Assurance of Intelligent Systems L Myllyaho Helsingin yliopisto, 2023 | | 2023 |
| Anomaly Localization in Audio via Feature Pyramid Matching J Valjakka, J Mylläri, L Myllyaho, J Kivimäki, JK Nurminen 2023 IEEE 47th Annual Computers, Software, and Applications Conference …, 2023 | | 2023 |
| Systematic Mapping Study on Use of Pre-Trained Open Machine Learning Models R Alho, M Raatikainen, JK Nurminen, L Myllyaho, LE Lwakatare The Annual Symposium of Computer Science, 2023 | | 2023 |
| Systematic Literature Review on Cost-efficient Deep Learning (Poster) A Klemetti, M Raatikainen, L Myllyaho, T Mikkonen, JK Nurminen | | 2023 |
| Node co-activations as a means of error detection—Towards fault-tolerant neural networks (presentation) L Myllyaho, JK Nurminen, T Mikkonen AI Day 2022, 2022 | | 2022 |
| From Misbehaviour and Fault Tolerance in ML system towards dependable and self-improving MLOps Y Luo, M Raatikainen, L Myllyaho, JK Nurminen FCAI (Finnish Center for Artificial Intelligence) AI Day, poster session, 2022 | | 2022 |
| The Journal of Systems & Software L Myllyaho, M Raatikainen, T Männistö, T Mikkonen, JK Nurminen | | 2021 |
| Improved dependency management for issue trackers in large collaborative projects M Raatikainen, Q Motger, CM Lüders, X Franch, L Myllyaho, E Kettunen, ... CoRR, 2021 | | 2021 |
| Methodologies for the validation of AI systems LS Myllyaho, M Raatikainen, T Männistö, T Mikkonen, JK Nurminen FCAI AI Day, 2020 | | 2020 |
| Suomalaisten matematiikan aineenopettajaopiskelijoiden us-komukset, niiden yhteydet ja taustat L Myllyaho Helsingin yliopisto, 2019 | | 2019 |
| 2021 IEEE/ACM 1st Workshop on AI Engineering-Software Engineering for AI (WAIN)| 978-1-6654-4470-5/20/$31.00© 2021 IEEE| DOI: 10.1109/WAIN52551. 2021.00030 S Abraham, A Agrawal, M Amoruso, M Aniche, H Asoh, S Banerjee, ... | | |
