Publications

Journal Papers:

    2016:
  • Welling, S. H., Refsgaard, H. H. F., Brockhoff, P. B., Clemmensen, L. H., Forest floor visualizations of random forests, arXiv:1605.09196, May, 2016.
  • Thompson, M. K., Espensen, C., Clemmensen, L. K. H., An optimized outlier dettection algorithm for jury-based grading og engineering design projects, International Journal of Engineering Education, 32:1, 172-184, 2016.
  • Argyraki, A., Clemmensen, L. K. H., Petersen, P. M. Does correlated color temperature affect the ability of humans to identify veins?, Journal of the Optical Society of America A, 33: 1, 141-148, 2016.
  • Gronskyte, R., Clemmensen, L. H., Hviid, M. S., Kulahci, M. Monitoring pig movement at the slaughterhouse using optical flow and modified angular histograms, Biosystems Engineering, 141, 19-30, 2016.
  • Einarsdottir, H., Emerson, M. J., Clemmensen, L. K. H., Scherer, K., Willer, K., Bech, M., Larsen, R., Ersbøll, B.K., Pfeiffer, F., Novelty detection of foreign objects in food using multi-modal X-ray imaging, Food Control, 67, September, 39-47, 2016.

  • 2015:
  • Gronskyte, R., Clemmensen, L. H., Hviid, M. S., Kulahci, M. Pig herd monitoring and undesirable tripping and stepping prevention, Computers and Electronics in Agriculture, 119, 51-60, 2015.
  • Han, X. and Clemmensen, L., Regularized Generalized Eigendecomposition with Applications to Sparse Supervised Feature Extraction and Sparse Discriminant Analysis, Pattern Recognition, 49: 43-54, 2016. [online]
  • Thompson, M. K., Espensen, C., Clemmensen, L. H., An Optimized Outlier Detection Algorithm for Jury-Based Grading of Engineering Design Projects, International Journal of Engineering Education, 2015.
  • Welling, S. H., Clemmensen, L. K. H., Buckley, S. T., Hovgaard, L., Brockhoff, P. B. and Refsgaard, H. H. F., In silico modelling of permeation enhancement potency in Caco-2 monolayers based on molecular descriptors and random forest, European Journal of Pharmaceutics and Biopharmaceutics, 94: 152-159, 2015. [online]

  • 2014:
  • Han, X. and Clemmensen, L., On Weighted Support Vector Regression, Quality and Reliability Engineering International, 30(6): 891-903, 2014. [online]
  • Sharifzadeh, S., Clemmensen, L.H., Borggaard, C., Støier, S.,Ersbøll, B.K., Supervised Feature Selection for Linear and Non-Linear Regression of L*a*b* Color from Multispectral Images of Meat, Engineering Applications of Artificial Intelligence 27: 211-227, 2014. [ScienceDirect]
  • Ljungqvist, M. G., Nielsen, O. H. A., Frosch, S., Nielsen, M. E., Clemmensen, L. H., and Ersbøll, B. K., Hyperspectral imaging based on diffusion laser light for prediction of Astaxanthin coating concentration, Machine Vision and Applications, 25(2): 327-343, 2014. [online]

  • 2013:
  • Martinez Vega, M.V., Wulfsohn, D., Clemmensen, L. H. and Toldam-Andersen, T.B., Using multilevel systematic sampling to study apple fruit quality and its variability at the orchard scale, Scientia Horticulturae, 161: 58-64, 2013. [online]
  • Thompson, M. K., Clemmensen, L. H., and Ahn, B., The effect of rubric rating scale on the assessment of engineering design projects, International Journal of Engineering Education, 29(6): 1490-1502, 2013. [pdf - IJEE]
  • Martinez Vega, M.V., Sharifzadeh, S., Wulfsohn, D., Skov, T., Clemmensen, L. H. and Toldam-Andersen, T.B., A sampling approach for the eating quality prediction of apples using VIS-NIR spectroscopy, Journal of the Science of Food and Agriculture 93(15): 3710-3719, 2013. [online]

  • 2012:
  • Sjostrand, K., Clemmensen, L. H., Larsen, R. L., Ersbøll, B. E., Spasm: A matlab toolbox for sparse statistical modeling, Journal of Statistical Software, Accepted for publication, 2012. [webpage]
  • Clemmensen, L., Dissing, B. S., Hyldig, G., Løje, H., Multispectral imaging of wok-fried vegetables, Journal of Imaging Science and Technology, 56, 2012. [online]
  • Hass, U., Boberg, J., Christiansen, S., Jacobsen, P. R., Vinggaard, A. M., Taxvig, C., Poulsen, M. E., Herrmann, S. S., Jensen, B. H., Petersen, A., Clemmensen, L. H., Axelstad, M., Adverse effects on sexual development in rat offspring after low dose exposure to a mixture of endocrine disrupting pesticides, Reproductive Toxicology, 34(2): 261-274, 2012. [pdf - Elsevier]
  • Romero-Garcia, R., Atienza, M., Clemmensen, L. H., Cantero, J. L., Effects of network resolution on topological properties of human neocortex, Neuroimage, 59: 3522-3532, 2012. [pdf - NeuroImage]

  • 2006-2011:
  • Clemmensen, L., Hastie, T., Witten, D. and Ersbøll, B. Sparse discriminant analysis, Technometrics, 53(4): 406-413, 2011. [pdf - Taylor & Francis]
  • Hasholt, M. and Clemmensen, L., Investigating frost scaling by using statistical methods, Nordic Concrete Research, 2: 1-16, 2010.
  • Phatak, A., Kiiveri, H., Clemmensen, L. H., and Wilson, W. J., NetRaVE: Constructing dependency networks using sparse linear regression, Bioinformatics, 26(12): 1576-1577, 2010. [pdf - Bioinformatics]
  • Clemmensen, L. H., Hansen, M. E., and Ersbøll, B. K., A comparison of dimension reduction methods with applications to multi-spectral images of sand used in concrete, Machine Vision and Applications, 21(6): 959-968, 2010. [pdf - Springer]
  • Clemmensen, L. H., Hansen, M. E., Ersbøll, B. K., and Frisvad, J. C., A method for comparison of growth media in objective identification of Penicillium based on multi-spectral imaging, Journal of Microbiological Methods, 69: 249-255, 2007. [paper - Elsevier]
  • Gomez, D. D., Clemmensen, L. H., Ersbøll, B. K., and Carstensen, J. M., Precise acquisition and unsupervised segmentation of multi-spectral images, Computer Vision and Image Understanding, 106(2-3): 183-193, 2007. [paper - Elsevier]

Conference contributions:

  • Argyraki, A., Clemmensen, L. K. H., Petersen, P. M., Development of LED light sources for improved visualization of veins: a statistical approach, 3rd European-Asian wokrshop on light-emitting diodes, Lyngby, Denmark, 2015.
  • Larsen, S. J., Clemmensen, L. H., Non-negative matrix factorization for binary data, In proceedings: KDIR, Nov., Lissbon, 2015.
  • Thompson, M. K., Clemmensen, L. H., Generalized requirements and decompositions for the design of test parts for micro additive manufacturing research, Procedia CIRP, 34: 229-235, 2015.
  • Clemmensen, L. H., Harder, D. E., Student employment and study effort for engineering students, In proceedings: 43rd Annual SEFI Conference, Orleans, France, 2015.
  • Tyge, E., Pallisgaard, J. J., Lillethorup, M., Hjaltalin, N. G., Thompson, M. K., Clemmensen, L. H., Characterizing Digital Light Processings (DLP) 3D Printed Primitives, In proceedings: R. R. Paulsen and K.S. Pedersen (Eds.): SCIA 2015, LNCS 9127,pp. 302-313, 2015.
  • Argyraki, A., Clemmensen, L. K. H., Petersen, P. M., Development of LED Light Sources for Improved Visualization of Veins: A Statistical Approach, 3rd European-Asian workshop on Light-Emitting Diodes, Lyngby, March, 2015.
  • Clemmensen, L. H., Sparse Discriminant Analysis and Multi-Collinearity with Applications to Image Analysis, Joint Statistical Meeting, Boston, August, 2014.
  • Dutta, S., Clemmensen, L., Genton, M. G., Sparse Hotelling's T^2 Test for Data from Two Samples, Joint Statistical Meeting, Boston, August, 2014.
  • Sassene, P. J., Skytte, J. L., Sharifzadeh, S., Clemmensen, L. K. H., Mu, H., Rades, T., Mullerts, A., Evaluation of off-line in vitro lipolysis of lipid-based drug delivery systems (LbDDS) by diffuse reflectance imaging (DRI), 9th World meeting on pharmaceutics, biopharmaceutics and pharmaceutical technology, Lisbon, April, 2014.
  • Romero-Garcia, R., Clemmensen, L. H., Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties, SPIE Medical Imaging, San Diego, February, 2014.
  • Sharifzadeh, S., Vega, M. V. M., Clemmensen, L. H., Ersbøll, B. K., Optimal vision system design for characterization of apples using UV/VIS/NIR spectroscopy data, IWSSIP 2013.
  • Harder, S., Clemmensen, L. H., Dahl, S. L., Andersen, J. D., Johansen, P., Christoffersen, S. R., Morling, N., Borsting, C., Paulsen, R. R., Correlations of iris biometrics and DNA, 1st International workshop on biometrics and forensics, Lisbon, April, 2013.
  • Gronskyte, R., Kulahci, M., and Clemmensen, L., Monitoring motion of pigs in thermal videos, Workshop on Farm Animal and Food Quality Imaging, Espoo Finland, June 17th, 2013.
  • Sharifzadeh, S., Skytte, J. L., Clemmensen, L., and Ersbøll, B., DCT-Based Characterization of Milk Products Using Diffuse Reflectance Images, 18th conference on Digital Signal Processing, 2013.
  • Sharifzadeh, S., Clemmensen, L., Løje, H., and Ersbøll, B., Statistical quality assessment of pre-fried carrots using multi-spectral imaging, 18th Scandinavian Conference on Image Analysis, Espoo, Finland, June, 2013.
  • Thompson, M. K., Clemmensen, L. H., Rosas, H., A statistical outlier detection algorithm for jury-based grading systems, submitted to 120th ASEE (American Society for Engineering Education) Annual Conference, Atlanta, USA, June, 2013.
  • Clemmensen, L. H., Sliusarenko, T., Christiansen, B. L., Ersbøll, B. K., Effects of mid-term student evaluations of teaching as measured by end-of-term evaluations: An empirical study of course evaluations, 5th International Conference on Computer Supported Education, Aachen, Germany, May, 2013.
  • Sliusarenko, T., Clemmensen, L., Ersbøll, B., Text mining in students course evaluations: Relationships between open-ended comments and quantitative scores, 5th International Conference on Computer Supported Education, Aachen, Germany, May, 2013.
  • Darkner, S., Clemmensen, L., Data driven constraints for the SVM, In: MICCAI 2012 Workshop on Machine Learning in Medical Imaging, Nice, France.
  • Marques, J., Clemmensen, L., Dam, E., Diagnosis and prognosis of Ostheoarthritis by texture analysis using sparse linear models, In: MICCAI 2012 Workshop on Sparsity Techniques in Medical Imaging, Nice, France.
  • Sharifzadeh, S., Skytte, J. L., Attermann, O. H., Ersbøll, B. K., Clemmensen, L. K. H., Regression and sparse regression methods for viscosity estimation of acid milk from it's SLS features, In: Proceedings; IWSSIP 2012, 11-13th April, Viena, Austria. p. 58-61.
  • Clemmensen, L. H., Brockhoff, P. B., Questionnaire analysis using partial least squares regression for multivariate analyses and simple interpretations, Symposium i Anvendt Statistik, 2012, Frederiksberg, Denmark.
  • Løje, H., Dissing, S. B., Clemmensen, L. H., Ersbøll, B. K., Adler-Nissen, J., Multispecral imaging of wok fried vegetables, presented at: Scandinavian wokrshop om imaging food quality, 2011, Ystad, Sweden.
  • Clemmensen, L., Laursen, L. F., Improving texture optimization with application to visualizing meat products, presented at: Scandinavian workhsop on imaging food quality, 2011, Ystad, Sweden.
  • Jacobsen, P. R., Christiansen, S., Clemmensen, L. H., Axelstad, M., Ersbøll, B. K., Hass, U., Prediction of gestation length and nipple retention in rats after mixed exposure to low doses of dissimilarly acting endocrine disrupting pesticides, presented at: 6th Copenhagen Workshop on Endocrine Disrupters (COW), 2011, Copenhagen, Denmark.
  • Ersbøll, B. K., Sliusarenko, T., Clemmensen, L. H., Does an association between student evaluations of related CDIO courses exist?, presented at: 7th International CDIO Conference, 2011, Lyngby, Denmark.
  • Sliusarenko, T., Clemmensen, L., Canonical correlation analysis in education: associations between student evaluations of courses and instructors, presented at: XXVth International Biometric Conference (IBS), 2010, Florianopolis, Brazil.
  • Clemmensen, L., Mazzaretto, A., Model selection with adaptive grouping of variables for enhanced interpretation and generalization, presented at: XXVth International Biometric Conference (IBS), 2010, Florianopolis, Brazil.
  • Clemmensen, L., Sparse classification of fish species based on images, 8th French-Danish Workshop on Spatial Statistics and Image Analysis in Biology, 2010, Copenhagen, Denmark.
  • Dissing, B. S., Clemmensen, L. H., Løje, H., Ersøll, B. E., and Adler-Nissen, J. , Temporal reflectance changes in vegetables, CRICV, Kyoto, Japan, 2009.
  • Mørup, M. and Clemmensen, L. H., Multiplicative updates for the LASSO, MLSP 2007 . [pdf]
  • Clemmensen, L. H., Gomez, D. D. and Ersbøll, B. K., Individual discriminative face recognition models based on subsets of features, SCIA 2007 LNCS 4522 proceedings , p. 61-71, Ed. 2, Springer-Verlag, 2007. [pdf]
  • Clemmensen, L. H. and Ersbøll, B. K., Multispectral recordings and analysis of psoriasis lesions, MICCAI '06 - Workshop on Biophotonics Imaging for Diagnostics and Treatment, October 6, 2006 Proceedings, 9th MICCAI Conference, p. 15-18. IMM-Technical report-2006-17, Technical University of Denmark, DTU, 2006. [pdf]

Master's Thesis:

  • Clemmensen, L. H., Estimation and Classification through Regression with Variable Selection amongst features Extracted from Multi-Spectral Images - Estimation of moisture content in sand & Identification of Penicillium fungi, Informatics and Mathematical Modelling, Technical University of Denmark, DTU, 2006. [pdf]

PhD Thesis:

  • Clemmensen, L. H., Data analysis in high-dimensional sparse spaces: Large p, small n problems, Technical University of Denmark, In: IMM-PHD-2009-228, 2010. [pdf ]