Line Harder Clemmensen
Orcid: 0000-0001-5527-5798
According to our database1,
Line Harder Clemmensen
authored at least 47 papers
between 2007 and 2024.
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Bibliography
2024
CoRR, 2024
Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition.
Proceedings of the Northern Lights Deep Learning Conference, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adv. Data Anal. Classif., December, 2023
On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry.
CoRR, 2022
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan.
CoRR, 2022
Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study.
CoRR, 2022
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022
Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder.
CoRR, 2021
Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data.
CoRR, 2021
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora.
CoRR, 2021
Consistent and accurate estimation of stellar parameters from HARPS-N Spectroscopy using Deep Learning.
Proceedings of the 2021 Northern Lights Deep Learning Workshop, 2021
2020
A generalized linear joint trained framework for semi-supervised leaning of sparse features.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
2017
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection.
Eng. Appl. Artif. Intell., 2017
2016
Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis.
Pattern Recognit., 2016
2015
Comput. Electron. Agric., 2015
Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015
Proceedings of the KDIR 2015, 2015
2014
Hyperspectral imaging based on diffused laser light for prediction of astaxanthin coating concentration.
Mach. Vis. Appl., 2014
Supervised feature selection for linear and non-linear regression of L<sup>⁎</sup>a<sup>⁎</sup>b<sup>⁎</sup> color from multispectral images of meat.
Eng. Appl. Artif. Intell., 2014
Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the CSEDU 2014, 2014
2013
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Proceedings of the 1st International Workshop on Biometrics and Forensics, 2013
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.
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.
Proceedings of the CSEDU 2013, 2013
2012
NeuroImage, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
2011
2010
A comparison of dimension reduction methods with application to multi-spectral images of sand used in concrete.
Mach. Vis. Appl., 2010
Bioinform., 2010
2009
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009
2007
Comput. Vis. Image Underst., 2007
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007