Individual Discriminative Face Recognition Models Based on Subsets of Features. - Line Harder Clemmensen; David Delgado-Gómez; Bjarne K. Ersbøll (SCIA, 2007)

Precise acquisition and unsupervised segmentation of multi-spectral images. - David Delgado-Gómez; Line Harder Clemmensen; Bjarne K. Ersbøll; Jens Michael Carstensen (Comput. Vis. Image Underst., 2007)

Temporal reflectance changes in vegetables. - Bjørn S. Dissing; Line H. Clemmensen; Hanne Løje; Bjarne K. Ersbøll; Jens Adler-Nissen (ICCV Workshops, 2009)

NetRaVE: constructing dependency networks using sparse linear regression. - Aloke Phatak; Harri T. Kiiveri; Line Harder Clemmensen; William J. Wilson (Bioinform., 2010)

A comparison of dimension reduction methods with application to multi-spectral images of sand used in concrete. - Line Harder Clemmensen; Michael Edberg Hansen; Bjarne K. Ersbøll (Mach. Vis. Appl., 2010)

Sparse Discriminant Analysis. - Line H. Clemmensen; Trevor Hastie; Daniela M. Witten; Bjarne K. Ersbøll (Technometrics, 2011)

Data Driven Constraints for the SVM. - Sune Darkner; Line Harder Clemmensen (MLMI, 2012)

Effects of network resolution on topological properties of human neocortex. - Rafael Romero-Garcia; Mercedes Atienza; Line Harder Clemmensen; Jose Luis Cantero (NeuroImage, 2012)

Effects of Mid-term Student Evaluations of Teaching as Measured by End-of-Term Evaluations - An Emperical Study of Course Evaluations. - Line Harder Clemmensen; Tamara Sliusarenko; Birgitte Lund Christiansen; Bjarne Kjær Ersbøll (CSEDU, 2013)

Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores. - Tamara Sliusarenko; Line Harder Clemmensen; Bjarne Kjær Ersbøll (CSEDU, 2013)

DCT-based characterization of milk products using diffuse reflectance images. - Sara Sharifzadeh; Jacob Lercke Skytte; Line Harder Clemmensen; Bjarne K. Ersbøll (DSP, 2013)

Correlation of iris biometrics and DNA. - Stine Harder; Line Harder Clemmensen; Anders L. Dahl; Jeppe D. Andersen; Peter Johansen; Susanne R. Christoffersen; Niels Morling; Claus Børsting; Rasmus R. Paulsen (IWBF, 2013)

Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging. - Sara Sharifzadeh; Line Harder Clemmensen; Hanne Løje; Bjarne K. Ersbøll (SCIA, 2013)

How do Student Evaluations of Courses and of Instructors Relate?. - Tamara Sliusarenko; Line Harder Clemmensen; Bjarne Kjær Ersbøll (CSEDU (2), 2014)

Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties. - Rafael Romero-Garcia; Line H. Clemmensen (Image Processing, 2014)

Supervised feature selection for linear and non-linear regression of L⁎a⁎b⁎ color from multispectral images of meat. - Sara Sharifzadeh; Line Harder Clemmensen; Claus Borggaard; Susanne Støier; Bjarne K. Ersbøll (Eng. Appl. Artif. Intell., 2014)

Hyperspectral imaging based on diffused laser light for prediction of astaxanthin coating concentration. - Martin Georg Ljungqvist; Otto Højager Attermann Nielsen; Stina Frosch; Michael Engelbrecht Nielsen; Line Harder Clemmensen; Bjarne Kjær Ersbøll (Mach. Vis. Appl., 2014)

On Weighted Support Vector Regression. - Xixuan Han; Line Harder Clemmensen (Qual. Reliab. Eng. Int., 2014)

Non-negative Matrix Factorization for Binary Data. - Jacob Søgaard Larsen; Line Katrine Harder Clemmensen (KDIR, 2015)

Characterizing Digital Light Processing (DLP) 3D Printed Primitives. - Emil Tyge; Jens J. Pallisgaard; Morten Lillethorup; Nanna G. Hjaltalin; Mary K. Thompson; Line Harder Clemmensen (SCIA, 2015)

Pig herd monitoring and undesirable tripping and stepping prevention. - Ruta Gronskyte; Line Harder Clemmensen; Marchen Sonja Hviid; Murat Kulahci (Comput. Electron. Agric., 2015)

Forest Floor Visualizations of Random Forests. - Soeren H. Welling; Hanne H. F. Refsgaard; Per Bruun Brockhoff; Line H. Clemmensen (CoRR, 2016)

Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis. - Xixuan Han; Line Harder Clemmensen (Pattern Recognit., 2016)

Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. - Sara Sharifzadeh; Ali Ghodsi 001; Line H. Clemmensen; Bjarne K. Ersbøll (Eng. Appl. Artif. Intell., 2017)

Computer Aided Identification of Motion Disturbances Related to Parkinson's Disease. - Gudmundur Einarsson; Line Katrine Harder Clemmensen; Ditte Rudå; Anders Fink-Jensen; Jannik Boll Nielsen; Anne Katrine Pagsberg; Kristian Winge; Rasmus R. Paulsen (PRIME@MICCAI, 2018)

Deep learning for Chemometric and non-translational data. - Jacob Søgaard Larsen; Line H. Clemmensen (CoRR, 2019)

Weight Sharing and Deep Learning for Spectral Data. - Jacob Søgaard Larsen; Line H. Clemmensen (ICASSP, 2020)

A generalized linear joint trained framework for semi-supervised leaning of sparse features. - Juan C. Laria; Line H. Clemmensen; Bjarne K. Ersbøll (CoRR, 2020)

Consistent and accurate estimation of stellar parameters from HARPS-N Spectroscopy using Deep Learning. - Frederik Boe Hüttel; Line Katrine Harder Clemmensen (NLDL, 2021)

Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (CoRR, 2021)

Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data. - Rune D. Kjærsgaard; Manja G. Grønberg; Line Katrine Harder Clemmensen (CoRR, 2021)

Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder. - Rune D. Kjærsgaard; Aaron Bello-Arufe; Alexander D. Rathcke; Lars A. Buchhave; Line Katrine Harder Clemmensen (CoRR, 2021)

Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (ICASSP, 2022)

Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. - Sneha Das; Nicklas Leander Lund; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (NLDL, 2022)

Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. - Tobias Engelhardt Rasmussen; Line Katrine Harder Clemmensen; Andreas Baum (NLDL, 2022)

Data Representativity for Machine Learning and AI Systems. - Line H. Clemmensen; Rune D. Kjærsgaard (CoRR, 2022)

Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study. - Sneha Das; Nicole Nadine Lønfeldt; Anne Katrine Pagsberg; Line H. Clemmensen (CoRR, 2022)

Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. - Nicole Nadine Lønfeldt; Flavia D. Frumosu; A.-R. Cecilie Mora-Jensen; Nicklas Leander Lund; Sneha Das; Anne Katrine Pagsberg; Line Katrine Harder Clemmensen (CoRR, 2022)

Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. - Flavia D. Frumosu; Nicole Nadine Lønfeldt; A.-R. Cecilie Mora-Jensen; Sneha Das; Nicklas Leander Lund; Anne Katrine Pagsberg; Line Katrine Harder Clemmensen (CoRR, 2022)

On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. - Angélica S. Z. Suárez; Clément Laroche; Line H. Clemmensen; Sneha Das (ICASSP, 2023)

Proximal methods for sparse optimal scoring and discriminant analysis. - Summer Atkins; Gudmundur Einarsson; Line Harder Clemmensen; Brendan P. W. Ames (Adv. Data Anal. Classif., 2023)

Pantypes: Diverse Representatives for Self-Explainable Models. - Rune D. Kjærsgaard; Ahcène Boubekki; Line H. Clemmensen (AAAI, 2024)

Fair Soft Clustering. - Rune D. Kjærsgaard; Pekka Parviainen; Saket Saurabh 001; Madhumita Kundu; Line H. Clemmensen (AISTATS, 2024)

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. - Sebastián Basterrech; Line Harder Clemmensen; Gerardo Rubino (IJCNN, 2024)

Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. - Laurits Fromberg; Troels Nielsen; Flavia Dalia Frumosu; Line H. Clemmensen (NLDL, 2024)

Classification of Tennis Actions Using Deep Learning. - Emil Hovad; Therese Hougaard-Jensen; Line Katrine Harder Clemmensen (CoRR, 2024)

Evaluation of Large Language Models: STEM education and Gender Stereotypes. - Smilla Due; Sneha Das; Marianne Andersen; Berta Plandolit López; Sniff Andersen Nexø; Line H. Clemmensen (CoRR, 2024)

Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. - Maja J. Hjuler; Line H. Clemmensen; Sneha Das (ICASSP, 2025)