Publications per year
Publications per year
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2024
Active learning for industrial applications
Cacciarelli, D. & Kulahci, M., 2024, (Accepted/In press) Taylor & Francis. 10 p. (Quality Engineering).Research output: Book/Report › Report › Research › peer-review
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An extension of PARAFAC to analyze multi-group three-way data
Rotari, M., Diaz, V. F., De Ketelaere, B. & Kulahci, M., 2024, In: Chemometrics and Intelligent Laboratory Systems. 246, 10 p., 105089.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile9 Downloads (Pure) -
A primer on predictive maintenance: Potential benefits and practical challenges
Hviid Hansen, H., Kulahci, M. & Friis Nielsen, B., 2024, (Accepted/In press) In: Quality Engineering. 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Correlation to causality
Rotari, M. & Kulahci, M., 2024, (Accepted/In press) In: Quality Engineering. 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Predictive Manufacturing: A Classification Strategy to Predict Product Failures
Khan, A. R., Schiøler, H., Kulahci, M., Zaki, M. & Rasmussen, P. W., 2024, (Accepted/In press) In: Expert Systems with Applications.Research output: Contribution to journal › Journal article › Research › peer-review
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Robust online active learning
Cacciarelli, D., Kulahci, M. & Tyssedal, J. S., 2024, In: Quality and Reliability Engineering International. 40, 1, p. 277-296Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile24 Downloads (Pure) -
Variable selection wrapper in presence of correlated input variables for random forest models
Rotari, M. & Kulahci, M., 2024, In: Quality and Reliability Engineering International. 40, 1, p. 297-312Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile34 Downloads (Pure) -
2023
Active learning for data streams: a survey
Cacciarelli, D. & Kulahci, M., 2023, In: Machine Learning. 55 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile35 Downloads (Pure) -
Application of Machine Learning for Prediction and Process Optimization-Case Study of Blush Defect in Plastic Injection Molding
Mollaei Ardestani, A., Azamirad, G., Shokrollahi, Y., Calaon, M., Hattel, J. H., Kulahci, M., Soltani, R. & Tosello, G., 2023, In: Applied Sciences. 13, 4, 21 p., 2617.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile157 Downloads (Pure) -
Hidden dimensions of the data: PCA vs autoencoders
Cacciarelli, D. & Kulahci, M., 2023, Taylor & Francis. 10 p. (Quality Engineering).Research output: Book/Report › Report › Research › peer-review
Open AccessFile35 Downloads (Pure) -
In-process monitoring of selective thermoplastic electrophotographic process by laser profiling system and digital fingerprint
Shan, S., Yeh, H. P., Rotari, M., Meinert, K. Æ., Hattel, J. H., Pedersen, D. B., Kulahci, M., Hansen, H. N., Zhang, Y. & Calaon, M., 2023, European Society for Precision Engineering and Nanotechnology, Conference Proceedings: 23rd International Conference and Exhibition, EUSPEN 2023. Riemer, O., Nisbet, C. & Phillips, D. (eds.). euspen, p. 181-182Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
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Statistical process control versus deep learning for power plant condition monitoring
Hansen, H. H., Kulahci, M. & Nielsen, B. F., 2023, In: Computers and Chemical Engineering. 178, 17 p., 108391.Research output: Contribution to journal › Journal article › Research › peer-review
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Stream-Based Active Learning for Regression with Dynamic Feature Selection
Cacciarelli, D., Tyssedal, J. S. & Kulahci, M., 2023, Proceedings of 5th International Conference on Transdisciplinary AI (TransAI). IEEE, p. 243-248Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Thermo-mechanical model for a selective thermoplastic electrophotographic process for dimensional defects
Yeh, H. P., Rotari, M., Shan, S., Meinert, K. Æ., Hattel, J. H., Kulahci, M., Pedersen, D. B. & Calaon, M., 2023, European Society for Precision Engineering and Nanotechnology, Conference Proceedings: 23rd International Conference and Exhibition, EUSPEN 2023. Riemer, O., Nisbet, C. & Phillips, D. (eds.). euspen, p. 187-188Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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2022
A climate classification for corrosion control in electronic system design
Spooner, M., Ambat, R., Gudla, H. C. & Kulahci, M., 2022, In: Machine Learning with Applications. 9, 10 p., 100397.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile116 Downloads (Pure) -
An easy to use GUI for simulating big data using Tennessee Eastman process
Andersen, E. B., Udugama, I. A., Gernaey, K. V., Khan, A. R., Bayer, C. & Kulahci, M., 2022, In: Quality and Reliability Engineering International. 38, 1, p. 264-282 19 p.Research output: Contribution to journal › Journal article › Research › peer-review
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A numerical study of Markov decision process algorithms for multi-component replacement problems
Andersen, J. F., Andersen, A. R., Kulahci, M. & Nielsen, B. F., 2022, In: European Journal of Operational Research. 299, 3, p. 94–102 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile102 Downloads (Pure) -
Forecasting Operational Conditions: A case-study from dewatering of biomass at an industrial wastewater treatment plant
Topalian, S. O. N., Ramin, P., Kjellberg, K., Kulahci, M., Alsina, X. F., Batstone, D. J. & Gernaey, K. V., 2022, Proceedings of the 14th International Symposium on Process Systems Engineering. Yamashita, Y. & Kano, M. (eds.). Amsterdam: Elsevier, p. 2077-2082 (Computer Aided Chemical Engineering, Vol. 49).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Laying the foundational building blocks for digitalization of horizontal continuous casting
Chawla, A., Spangenberg, J., Kulahci, M., B. Pedersen, K. & Tiedje, N. S., 2022. 2 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open AccessFile71 Downloads (Pure) -
Real-time adjustment of injection molding process settings by utilizing Design of Experiment, time series profiles and PLS-DA
Rønsch, G., Dybdahl, M. & Kulahci, M., 2022, In: Quality Engineering. 34, 2, p. 215-229Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile98 Downloads (Pure) -
Surveillance of antidepressant safety (SADS): Comparison of signal detection of serious medical events using tree-based scan statistics and repeated cohort studies
Aakjaer, M., Kulahci, M., De Bruin, M. L., Khan, A. R. & Andersen, M., 2022, p. 103-104. 2 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
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Transient risk of water layer formation on PCBAs in different climates: Climate data analysis and experimental study
Conseil-Gudla, H., Spooner, M., Kulahci, M. & Ambat, R., 2022, In: Microelectronics Reliability. 136, 12 p., 114655.Research output: Contribution to journal › Journal article › Research › peer-review
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2021
Advanced Process Models for analysis and process control of continuous casting of cast iron
Chawla, A., Tiedje, N. S., Spangenberg, J. & Kulahci, M., 2021. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Open AccessFile52 Downloads (Pure) -
An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems
Reinartz, C. C., Kulahci, M. & Ravn, O., 2021, In: Computers and Chemical Engineering. 149, 11 p., 107281.Research output: Contribution to journal › Journal article › Research › peer-review
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An investigation of the utilisation of different data sources in manufacturing with application in injection moulding
Rønsch, G., Kulahci, M. & Dybdahl, M., 2021, In: International Journal of Production Research. 59, 16, p. 4851-4868Research output: Contribution to journal › Journal article › Research › peer-review
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Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 2–Comparison of the Performance of Artificial Intelligence and Traditional Pharmacoepidemiological Techniques
Sessa, M., Liang, D., Khan, A. R., Kulahci, M. & Andersen, M., 14 Jan 2021, In: Frontiers in Pharmacology. 11, 10 p., 568659.Research output: Contribution to journal › Review › peer-review
Open AccessFile97 Downloads (Pure) -
A Study of Spectral Envelope Method for Multi-Cause Diagnosis using Industrial Data
Kaya, G. K., Döloğlu, P., Özer, Ç. O., Şahin, O., Palazoğlu, A. & Külahçı, M., 2021, In: Computer Aided Chemical Engineering. 50, p. 1331-1337Research output: Contribution to journal › Conference article › Research › peer-review
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A taxonomy of railway track maintenance planning and scheduling: A review and research trends
Sedghi, M., Kauppila, O., Bergquist, B., Vanhatalo, E. & Kulahci, M., Nov 2021, In: Reliability Engineering and System Safety. 215, 23 p., 107827.Research output: Contribution to journal › Review › peer-review
Open AccessFile336 Downloads (Pure) -
Classification Methods for Market Making in Auction Markets
Holm, N. N., Hussain, M. & Kulahci, M., 2021, In: Journal of Financial Data Science. 3, 4, p. 151-169Research output: Contribution to journal › Journal article › Research › peer-review
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Mould wear-out prediction in the plastic injection moulding industry: a case study
Frumosu, F. D., Rønsch, G. Ø. & Kulahci, M., 2021, In: International Journal of Computer Integrated Manufacturing. 33, 12, p. 1245-1258Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile331 Downloads (Pure) -
Surveillance of Antidepressant Safety (SADS): Active Signal Detection of Serious Medical Events Following SSRI and SNRI Initiation Using Big Healthcare Data
Aakjær, M., De Bruin, M. L., Kulahci, M. & Andersen, M., 2021, In: Drug Safety. 44, 11, p. 1215-1230Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile65 Downloads (Pure) -
2020
Artificial Intelligence in Pharmacoepidemiology: A Systematic Review. Part 1—Overview of Knowledge Discovery Techniques in Artificial Intelligence
Sessa, M., Khan, A. R., Liang, D., Andersen, M. & Kulahci, M., 16 Jul 2020, In: Frontiers in Pharmacology. 11, 18 p., 1028.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile174 Downloads (Pure) -
Big Data Generation for Time Dependent Processes: The Tennessee Eastman Process for Generating Large Quantities of Process Data
Andersen, E. B., A. Udugama, I., Gernaey, K. V., Bayer, C. & Kulahci, M., 2020, Proceedings of the 30th European Symposium on Computer Aided Process Engineering. Pierucci, S., Manenti, F., Bozzano, G. & Manca, D. (eds.). Elsevier, Vol. 48. p. 1309-1314 (Computer Aided Chemical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Cost-sensitive learning classification strategy for predicting product failures
Frumosu, F. D., Khan, A. R., Schiøler, H., Kulahci, M., Zaki, M. & Westermann-Rasmussen, P., 15 Dec 2020, In: Expert Systems with Applications. 161, 20 p., 113653.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile155 Downloads (Pure) -
Experiences with big data: Accounts from a data scientist’s perspective
Kulahci, M., Frumosu, F. D., Khan, A. R., Rønsch, G. Ø. & Spooner, M. P., 1 Jan 2020, In: Quality Engineering. 32, 4, p. 529-542Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile115 Downloads (Pure) -
On monitoring industrial processes under feedback control
Capaci, F., Vanhatalo, E., Palazoglu, A., Bergquist, B. & Kulahci, M., 1 Jan 2020, In: Quality and Reliability Engineering International. 36, 8, p. 2720-2737Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile99 Downloads (Pure) -
Rejoinder - Experiences with Big Data: Accounts from a Data Scientist’s Perspective
Kulahci, M., Frumosu, F. D., Khan, A. R., Rønsch, G. Ø. & Spooner, M. P., 2020, In: Quality Engineering. 32, 4, p. 563-565Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile68 Downloads (Pure) -
The Role of Big Data in Industrial (Bio)Chemical Process Operations
A. Udugama, I., Gargalo, C. L., Yamashita, Y., Taube, M. A., Palazoglu, A., Young, B. R., Gernaey, K. V., Kulahci, M. & Bayer, C., 2020, In: Industrial and Engineering Chemistry Research. 59, 34, p. 15283–15297Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile254 Downloads (Pure) -
2019
Discussion on “Søren Bisgaard’s contributions to Quality Engineering
Kulahci, M., 2 Jan 2019, In: Quality Engineering. 31, 1, p. 154-156Research output: Contribution to journal › Comment/debate › Research › peer-review
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Discussion on “Søren Bisgaard’s contributions to Quality Engineering: Design of experiments”
Kulahci, M., 2019, In: Quality Engineering. 31, 1, p. 149-153Research output: Contribution to journal › Journal article › Research › peer-review
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Outliers detection using an iterative strategy for semi-supervised learning
Frumosu, F. D. & Kulahci, M., 1 Jan 2019, In: Quality and Reliability Engineering International. 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
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The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods
Capaci, F., Vanhatalo, E., Kulahci, M. & Bergquist, B., 2019, In: Quality Engineering. 31, 2, p. 212-229 18 p.Research output: Contribution to journal › Review › peer-review
Open AccessFile961 Downloads (Pure) -
2018
Added Value of Individual Flexibility Profiles of Electric Vehicle Users For Ancillary Services
Andersen, P. B., Sousa, T., Thingvad, A., Berthou, L. S. & Kulahci, M., 2018, Proceedings of IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile758 Downloads (Pure) -
Big data analytics using semi-supervised learning methods
Frumosu, F. D. & Kulahci, M., 2018, In: Quality and Reliability Engineering International. 34, 7, p. 1413-1423 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile369 Downloads (Pure) -
Harvest time prediction for batch processes
Spooner, M. P., Kold, D. & Kulahci, M., 2018, In: Computers & Chemical Engineering. 117, p. 32-41 10 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile235 Downloads (Pure) -
Monitoring batch processes with dynamic time warping and k-nearest neighbours
Spooner, M. & Kulahci, M., 15 Dec 2018, In: Chemometrics and Intelligent Laboratory Systems. 183, p. 102-112Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile270 Downloads (Pure) -
Rare-events classification - An approach based on genetic algorithm and voronoi tessellation
Khan, A. R., Schiøler, H., Zaki, M. & Kulahci, M., 1 Jan 2018, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Revised Selected Papers. Springer, p. 256-266 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11154 ).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Real-time fault detection and diagnosis using sparse principal component analysis
Gajjar, S., Kulahci, M. & Palazoglu, A., 2018, In: Journal of Process Control. 67, p. 112-128 17 p.Research output: Contribution to journal › Journal article › Research › peer-review
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2017
Big Data Analytics for Industrial Process Control
Khan, A. R., Schioler, H., Kulahci, M. & Knudsen, T. S., 2017, International Conference on Emerging Technologies and Factory Automation (etfa). IEEE, 8 p. 17489120. (Emerging Technologies and Factory Automation (etfa), International Conference on).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Exploring the Use of Design of Experiments in Industrial Processes Operating Under Closed-Loop Control: Experimentation in closed-loop systems
Capaci, F., Kulahci, M. & Vanhatalo, E., 2017, In: Quality and Reliability Engineering International. 33, 7, p. 1601-1614 14 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile353 Downloads (Pure)