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ORCIDLalli Myllyaho
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2020 – today
- 2024
[j6]Antti Klemetti
, Mikko Raatikainen, Juhani Kivimäki, Lalli Myllyaho, Jukka K. Nurminen:
Removing Neurons From Deep Neural Networks Trained With Tabular Data. IEEE Open J. Comput. Soc. 5: 542-552 (2024)- [c6]Zafar Hussain, Lalli Myllyaho, Jukka K. Nurminen:
Learning the Structure of Commands by Retraining a Language Model. ICMLT 2024: 239-244 - [c5]Riku Alho, Mikko Raatikainen, Lalli Myllyaho, Jukka K. Nurminen:
On Modularity of Neural Networks: Systematic Review and Open Challenges. ICSR 2024: 18-36 - 2023
- [b1]Lalli Myllyaho:
On Quality Assurance of Intelligent Systems ; Älykkäiden järjestelmien laadunvarmistus. University of Helsinki, Finland, 2023 - [j5]Antti Klemetti, Mikko Raatikainen, Lalli Myllyaho, Tommi Mikkonen, Jukka K. Nurminen:
Systematic Literature Review on Cost-Efficient Deep Learning. IEEE Access 11: 90158-90180 (2023) - [j4]Mikko Raatikainen, Quim Motger, Clara Marie Lüders, Xavier Franch, Lalli Myllyaho, Elina Kettunen, Jordi Marco, Juha Tiihonen, Mikko Halonen, Tomi Männistö:
Improved Management of Issue Dependencies in Issue Trackers of Large Collaborative Projects. IEEE Trans. Software Eng. 49(4): 2128-2148 (2023) - [c4]Jorma Valjakka, Juha Mylläri, Lalli Myllyaho, Juhani Kivimäki, Jukka K. Nurminen:
Anomaly Localization in Audio via Feature Pyramid Matching. COMPSAC 2023: 286-291 - [c3]Riku Alho, Mikko Raatikainen, Jukka K. Nurminen, Lalli Myllyaho, Lucy Ellen Lwakatare:
Systematic Mapping Study on Use of Pre-Trained Open Machine Learning Models. TKTP 2023: 36-47 - 2022
- [j3]Lalli Myllyaho, Jukka K. Nurminen, Tommi Mikkonen:
Node co-activations as a means of error detection - Towards fault-tolerant neural networks. Array 15: 100201 (2022) - [j2]Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Jukka K. Nurminen, Tommi Mikkonen:
On misbehaviour and fault tolerance in machine learning systems. J. Syst. Softw. 183: 111096 (2022) - 2021
- [j1]Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Tommi Mikkonen, Jukka K. Nurminen:
Systematic literature review of validation methods for AI systems. J. Syst. Softw. 181: 111050 (2021) - [c2]Tuomas Granlund, Aleksi Kopponen, Vlad Stirbu, Lalli Myllyaho, Tommi Mikkonen:
MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases. WAIN@ICSE 2021: 82-88 - [i4]Mikko Raatikainen, Quim Motger, Clara Marie Lüders, Xavier Franch, Lalli Myllyaho, Elina Kettunen, Jordi Marco, Juha Tiihonen, Mikko Halonen, Tomi Männistö:
Improved dependency management for issue trackers in large collaborative projects. CoRR abs/2102.08485 (2021) - [i3]Tuomas Granlund, Aleksi Kopponen, Vlad Stirbu, Lalli Myllyaho, Tommi Mikkonen:
MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases. CoRR abs/2103.08937 (2021) - [i2]Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Tommi Mikkonen, Jukka K. Nurminen:
Systematic Literature Review of Validation Methods for AI Systems. CoRR abs/2107.12190 (2021) - [i1]Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Jukka K. Nurminen, Tommi Mikkonen:
On Misbehaviour and Fault Tolerance in Machine Learning Systems. CoRR abs/2109.07989 (2021)
2010 – 2019
- 2019
- [c1]Juha Tiihonen, Mikko Raatikainen, Lalli Myllyaho, Clara Marie Lüders, Tomi Männistö:
Coping with Inconsistent Models of Requirements. ConfWS 2019: 1-8
Coauthor Index
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