Line Harder Clemmensen

According to our database, Line Harder Clemmensen authored at least 44 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Classification of Tennis Actions Using Deep Learning.

Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder Clemmensen

CoRR, 2024

Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition.

Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen

Proceedings of the Northern Lights Deep Learning Conference, 2024

Pantypes: Diverse Representatives for Self-Explainable Models.

Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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., December, 2023

On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms.

Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen, Sneha Das

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

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

Data Representativity for Machine Learning and AI Systems.

Line H. Clemmensen, Rune D. Kjærsgaard

CoRR, 2022

Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications.

Tobias Engelhardt Rasmussen, Line Katrine Harder Clemmensen, Andreas Baum

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 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

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations.

Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data.

Rune D. Kjærsgaard, Manja G. Grønberg, Line Katrine Harder Clemmensen

CoRR, 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

Consistent and accurate estimation of stellar parameters from HARPS-N Spectroscopy using Deep Learning.

Frederik Boe Hüttel, Line Katrine Harder Clemmensen

Proceedings of the 2021 Northern Lights Deep Learning Workshop, 2021

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

Weight Sharing and Deep Learning for Spectral Data.

Jacob Søgaard Larsen, Line H. Clemmensen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Deep learning for Chemometric and non-translational data.

Jacob Søgaard Larsen, Line H. Clemmensen

CoRR, 2019

2018

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

Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

2017

Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection.

Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen, Bjarne K. Ersbøll

Eng. Appl. Artif. Intell., 2017

2016

Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis.

Xixuan Han, Line Harder Clemmensen

Pattern Recognit., 2016

Forest Floor Visualizations of Random Forests.

Soeren H. Welling, Hanne H. F. Refsgaard, Per Bruun Brockhoff, Line H. Clemmensen

CoRR, 2016

2015

Pig herd monitoring and undesirable tripping and stepping prevention.

Ruta Gronskyte, Line Harder Clemmensen, Marchen Sonja Hviid, Murat Kulahci

Comput. Electron. Agric., 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

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Non-negative Matrix Factorization for Binary Data.

Jacob Søgaard Larsen, Line Katrine Harder Clemmensen

Proceedings of the KDIR 2015, 2015

2014

On Weighted Support Vector Regression.

Xixuan Han, Line Harder Clemmensen

Qual. Reliab. Eng. Int., 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

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

Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties.

Rafael Romero-Garcia, Line H. Clemmensen

Proceedings of the Medical Imaging 2014: Image Processing, 2014

How do Student Evaluations of Courses and of Instructors Relate?.

Tamara Sliusarenko, Line Harder Clemmensen, Bjarne Kjær Ersbøll

Proceedings of the CSEDU 2014, 2014

2013

Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging.

Sara Sharifzadeh, Line Harder Clemmensen, Hanne Løje, Bjarne K. Ersbøll

Proceedings of the Image Analysis, 18th Scandinavian Conference, 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

Proceedings of the 1st International Workshop on Biometrics and Forensics, 2013

DCT-based characterization of milk products using diffuse reflectance images.

Sara Sharifzadeh, Jacob Lercke Skytte, Line Harder Clemmensen, Bjarne K. Ersbøll

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores.

Tamara Sliusarenko, Line Harder Clemmensen, Bjarne Kjær Ersbøll

Proceedings of the CSEDU 2013, 2013

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

Proceedings of the CSEDU 2013, 2013

2012

Effects of network resolution on topological properties of human neocortex.

Rafael Romero-Garcia, Mercedes Atienza, Line Harder Clemmensen, Jose Luis Cantero

NeuroImage, 2012

Data Driven Constraints for the SVM.

Sune Darkner, Line Harder Clemmensen

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2011

Sparse Discriminant Analysis.

Line H. Clemmensen, Trevor Hastie, Daniela M. Witten, Bjarne K. Ersbøll

Technometrics, 2011

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

NetRaVE: constructing dependency networks using sparse linear regression.

Aloke Phatak, Harri T. Kiiveri, Line Harder Clemmensen, William J. Wilson

Bioinform., 2010

2009

Temporal reflectance changes in vegetables.

Bjørn S. Dissing, Line H. Clemmensen, Hanne Løje, Bjarne K. Ersbøll, Jens Adler-Nissen

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

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

Individual Discriminative Face Recognition Models Based on Subsets of Features.

Line Harder Clemmensen, David Delgado-Gómez, Bjarne K. Ersbøll

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007