Lalli Myllyaho

According to our database, Lalli Myllyaho authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Removing Neurons From Deep Neural Networks Trained With Tabular Data.

Antti Klemetti, Mikko Raatikainen, Juhani Kivimäki, Lalli Myllyaho, Jukka K. Nurminen

IEEE Open J. Comput. Soc., 2024

On Modularity of Neural Networks: Systematic Review and Open Challenges.

Riku Alho, Mikko Raatikainen, Lalli Myllyaho, Jukka K. Nurminen

Proceedings of the Reuse and Software Quality, 2024

Learning the Structure of Commands by Retraining a Language Model.

Zafar Hussain, Lalli Myllyaho, Jukka K. Nurminen

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2023

Improved Management of Issue Dependencies in Issue Trackers of Large Collaborative Projects.

Mikko Raatikainen, Quim Motger, Clara Marie Lüders, Xavier Franch, Lalli Myllyaho, Elina Kettunen, Jordi Marco, Juha Tiihonen, Mikko Halonen, Tomi Männistö

IEEE Trans. Software Eng., April, 2023

On Quality Assurance of Intelligent Systems ; Älykkäiden järjestelmien laadunvarmistus.

Lalli Myllyaho

PhD thesis, 2023

Systematic Literature Review on Cost-Efficient Deep Learning.

Antti Klemetti, Mikko Raatikainen, Lalli Myllyaho, Tommi Mikkonen, Jukka K. Nurminen

IEEE Access, 2023

Systematic Mapping Study on Use of Pre-Trained Open Machine Learning Models.

Riku Alho, Mikko Raatikainen, Jukka K. Nurminen, Lalli Myllyaho, Lucy Ellen Lwakatare

Proceedings of the Annual Symposium of Computer Science 2023 co-located with The International Conference on Evaluation and Assessment in Software Engineering (EASE 2023), 2023

Anomaly Localization in Audio via Feature Pyramid Matching.

Jorma Valjakka, Juha Mylläri, Lalli Myllyaho, Juhani Kivimäki, Jukka K. Nurminen

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

On misbehaviour and fault tolerance in machine learning systems.

Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Jukka K. Nurminen, Tommi Mikkonen

J. Syst. Softw., 2022

Node co-activations as a means of error detection - Towards fault-tolerant neural networks.

Lalli Myllyaho, Jukka K. Nurminen, Tommi Mikkonen

Array, 2022

2021

Systematic literature review of validation methods for AI systems.

Lalli Myllyaho, Mikko Raatikainen, Tomi Männistö, Tommi Mikkonen, Jukka K. Nurminen

J. Syst. Softw., 2021

Improved dependency management for issue trackers in large collaborative projects.

Mikko Raatikainen, Quim Motger, Clara Marie Lüders, Xavier Franch, Lalli Myllyaho, Elina Kettunen, Jordi Marco, Juha Tiihonen, Mikko Halonen, Tomi Männistö

CoRR, 2021

MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases.

Tuomas Granlund, Aleksi Kopponen, Vlad Stirbu, Lalli Myllyaho, Tommi Mikkonen

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

2019

Coping with Inconsistent Models of Requirements.

Juha Tiihonen, Mikko Raatikainen, Lalli Myllyaho, Clara Marie Lüders, Tomi Männistö

Proceedings of the 21st Configuration Workshop, Hamburg, Germany, September 19-20, 2019., 2019