Publications per year
Publications per year
Personal profile
Profile
In my research, collaborations, and consultancy work I put my mind to obtaining feasible solutions to data problems. Interpretation and model generalization are at my heart. I like to contribute with models which can predict and explain issues of importance to our society, that being environmental, biological, industrial, or financial.
Research interests: Macine learning, statistical modelling, deep learning, sparse methods.
Other information
Studied telecommunications one semester at Universidad Politecnica de Catalunya in Barcelona, SpainLanguage Skills:
Danish
English
Spanish
French
Portuguese
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph. D., IMM
1 Apr 2006 → 31 Mar 2009
External positions
Principal Data Scientist, Maersk Group
1 Aug 2016 → 31 Jul 2017
Keywords
- User defined:
- Deep learning
- Sparse methods
- Statistical modelling
- Machine learning
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adverse events in cognitive behavioral therapy and relaxation training for children and adolescents with obsessive-compulsive disorder: A mixed methods study and analysis plan for the TECTO trial
Pretzmann, L., Christensen, S. H., Christensen, A. B., Funch Uhre, C., Uhre, V., Thoustrup, C. L., Clemmesen, I. T., Gudmandsen, T. A., Korsbjerg, N. L. J., Mora-Jensen, A. R. C., Ritter, M., Olsen, M. H., Clemmensen, L. K. H., Lindschou, J., Gluud, C., Thomsen, P. H., Vangkilde, S., Hagstrøm, J., Rozental, A., Jeppesen, P., & 6 others, 2023, In: Contemporary Clinical Trials Communications. 34, 9 p., 101173.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Downloads (Pure) -
A Wearable Artificial Intelligence Feedback Tool (Wrist Angel) for Treatment and Research of Obsessive Compulsive Disorder: Protocol for a Nonrandomized Pilot Study
Lønfeldt, N. N., Clemmensen, L. K. H. & Pagsberg, A. K., 2023, In: JMIR Research Protocols. 12, 16 p., e45123.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile20 Downloads (Pure) -
Contribution to the estimation of force coefficients of plain gas seals with high preswirl considering rotor-foundation dynamics
Paulsen, T. T., Santos, I. F. & Clemmensen, L. K. H., 2023, In: Mechanical Systems and Signal Processing. 186, p. 20Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile25 Downloads (Pure) -
Molecular Representations in Machine-Learning-Based Prediction of PK Parameters for Insulin Analogs
Einarson, K. A., Bendtsen, K. M., Li, K., Thomsen, M., Kristensen, N. R., Winther, O., Fulle, S., Clemmensen, L. & Refsgaard, H. H. F., 2023, In: ACS Omega. 8, 26, p. 23566−23578Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile7 Downloads (Pure) -
A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
Carlos Laria, J., Clemmensen, L. H., Ersbøll, B. K. & Delgado-Gomez, D., Aug 2022, In: Mathematics. 10, 16, 18 p., 3001.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile12 Downloads (Pure)
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Synthetic biology and computer vision for smart farming
Schiesaro, G., Jensen, M. K., Clemmensen, L. K. H. & Jensen, E. D.
01/01/2023 → 31/12/2025
Project: PhD
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AI modeling and evaluation in precision psychiatry
Nielsen, S. D., Clemmensen, L. K. H. & Eriksen Benros, M.
01/12/2021 → 09/03/2025
Project: PhD
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Higher Level of Condition-Based Maintenance and Predictive Maintenance of Electro-Mechanical Components via Machine Learning Techniques
Jensen, K. M., Santos, I., Clemmensen, L. K. H. & Theodorsen, S.
01/01/2021 → 30/12/2024
Project: PhD
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Machine learning on biological data for faster data-driven drug discovery and development
Einarson, K. A., Clemmensen, L. K. H. & Refsgaard, H. H. F.
01/08/2020 → 19/02/2024
Project: PhD
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Analysis of Spectral Data
Line Katrine Harder Clemmensen (Invited speaker)
18 Nov 2021Activity: Talks and presentations › Conference presentations
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Oscar Briz López, Predicting turbulent fields using neural nets for wind turbine validation, Master project
Jenni Rinker (Main supervisor), Line Katrine Harder Clemmensen (Supervisor), Maxence Josso (Supervisor) & Norbert Warncke (Supervisor)
25 Jan 2021 → 4 Jun 2021Activity: Examinations and supervision › Supervisor activities
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Machine Learning and the Physical Sciences Workshop at the 34th Conference on Neural Information Processing Systems (ML4PS @ NeurIPS)
Frederik Boe Hüttel (Guest lecturer) & Line Katrine Harder Clemmensen (Guest lecturer)
11 Dec 2020Activity: Talks and presentations › Conference presentations
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A novel Deep Learning ranking model to order posts on a social e-learning platform
Md Saifuddin Khalid (Main supervisor) & Line Katrine Harder Clemmensen (Supervisor)
15 Jun 2020 → 30 Nov 2020Activity: Examinations and supervision › Supervisor activities
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Predicting Pectin Gel Strength using Near-Infrared Spectroscopic Data
Line Katrine Harder Clemmensen (Main supervisor) & Andreas Baum (Supervisor)
26 Dec 2018 → 25 Jun 2019Activity: Examinations and supervision › Supervisor activities