IML4E: Industrial Machine Learning for Enterprises

Research output

Research output per year 2022 2022 2023 2024 2025

• 7 Article
• 6 Conference contribution
• 5 Poster
• 1 Chapter
• 4 More
  • 1 Abstract
  • 1 Paper
  • 1 Review Article
  • 1 Doctoral Thesis

Research output per year

Research output per year

Search results

• 2025

  A Design Framework for Cloud-HPC Integration in MLOps

  Siilasjoki, N., Raatikainen, M. & Nurminen, J. K., 2025, SAC '25: Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing. Association for Computing Machinery, p. 217-224 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Confidence-based Estimators for Predictive Performance in Model Monitoring

  Kivimäki, J. I., Nurminen, J. K., Białek, J. & Kuberski, W., 20 Jan 2025, In: Journal of Artificial Intelligence Research. 82, p. 209-240 32 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Ladle: a method for unsupervised anomaly detection across log types

  Mylläri, J., Aalto, T. & Nurminen, J. K., 24 Mar 2025, In: Automated Software Engineering. 32, 2, 24 p., 34.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File
• 2024

  AI lineage for trustworthy and compliant systems

  Souris, H. & Raatikainen, M., 2024.

  Research output: Conference materials › Poster › peer-review

  Open Access

  File

• Machine Learning Lineage for Trustworthy Machine Learning Systems: Information Framework for MLOps Pipelines

  Raatikainen, M., Souris, H., Remes, J. & Stirbu, V., 19 Jun 2024, In: IEEE Software. 42, 1, p. 51-58 8 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

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

  Alho, R., Raatikainen, M., Myllyaho, L. & Nurminen, J. K., 13 Jul 2024, Reuse and Software Quality. ICSR 2024. Achilleos, A., Fuentes, L. & Papadopoulos, G. A. (eds.). Springer, p. 18–36 (Lecture Notes in Computer Science; vol. 14614).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  Open Access

  File

• Open source platform for MLOps

  Rives Gambin, J., Knoblauch, D., Malinen, J., Muiruri, D., Raatikainen, M., Remes, J., Siilasjoki, N. & Souris, H., 2024.

  Research output: Conference materials › Abstract › peer-review

  Open Access

  File

• Removing Neurons From Deep Neural Networks Trained With Tabular Data

  Klemetti, A., Raatikainen, M., Kivimäki, J., Myllyaho, L. & Nurminen, J. K., Sept 2024, In: IEEE open journal of the Computer Society. 5

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File
• 2023

  Anomaly Localization in Audio via Feature Pyramid Matching

  Valjakka, J. H., Mylläri, J., Myllyaho, L., Kivimäki, J. I. & Nurminen, J. K., Aug 2023, 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, p. 286-291 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Autonomously Adaptive Machine Learning Systems: Experimentation-Driven Open-Source Pipeline

  Luo, Y., Raatikainen, M. & Nurminen, J. K., 2023, 2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE, p. 44-52

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Discrepancy Scaling for Fast Unsupervised Anomaly Localization

  Mylläri, J. & Nurminen, J. K., Aug 2023, 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, p. 274-279 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• Failure Prediction in 2D Document Information Extraction with Calibrated Confidence Scores

  Kivimäki, J. I., Lebedev, A. & Nurminen, J. K., 2023, 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, p. 193-202 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File

• On Quality Assurance of Intelligent Systems

  Myllyaho, L., 18 Aug 2023

  Research output: Thesis › Doctoral Thesis › Collection of Articles

  Open Access

• Systematic Literature Review on Cost-efficient Deep Learning

  Klemetti, A., Raatikainen, M., Myllyaho, L., Mikkonen, T. & Nurminen, J. K., 2023, In: IEEE Access. 11, p. 90158 - 90180 23 p.

  Research output: Contribution to journal › Review Article › peer-review

  Open Access

  File

• Systematic Literature Review on Cost-efficient Deep Learning (Poster)

  Klemetti, A., Raatikainen, M., Myllyaho, L., Mikkonen, T. & Nurminen, J. K., 2023.

  Research output: Conference materials › Poster › peer-review

  Open Access

  File

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

  Alho, R., Raatikainen, M., Nurminen, J. K., Myllyaho, L. & Lwakatare, L. E., 2023, Annual Symposium for Computer Science (TKTP'23). Kasurinen, J. & Päivärinta, T. (eds.). CEUR, p. 36-47 (Ceur Workshop Proceedings; vol. 3506).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  File
• 2022

  Augmenting the Student-Teacher Feature Pyramid Matching Method for Better Unsupervised Anomaly Localization

  Mylläri, J., 16 Nov 2022.

  Research output: Conference materials › Poster › peer-review

• From Misbehaviour and Fault Tolerance in ML system towards dependable and self-improving MLOps

  Luo, Y., Raatikainen, M., Myllyaho, L. & Nurminen, J. K., 2022.

  Research output: Conference materials › Poster › peer-review

  Open Access

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

  Myllyaho, L., Nurminen, J. K. & Mikkonen, T., Sept 2022, In: Array. 15

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Node co-activations as a means of error detection—Towards fault-tolerant neural networks (presentation)

  Myllyaho, L., Nurminen, J. K. & Mikkonen, T., 16 Nov 2022.

  Research output: Conference materials › Paper › peer-review

• Practices and Infrastructures for Machine Learning Systems: An Interview Study in Finnish Organizations

  Muiruri, D., Lwakatare, L. E., Nurminen, J. K. & Mikkonen, T., 6 Jun 2022, In: Computer : a publication of the IEEE Computer Society. 55, 6, p. 18-29 12 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Toward Multiconcern Software Development With Everything as Code

  Stirbu, V., Raatikainen, M., Röntynen, J., Sokolov, V., Lehtonen, T. & Mikkonen, T., 2022, In: IEEE Software. 39, 4, p. 27-33 7 p.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  File

• Uncertainty Estimation with Calibrated Confidence Scores

  Kivimäki, J. I., 16 Nov 2022. 1 p.

  Research output: Conference materials › Poster

  Open Access

  File