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Line Harder Clemmensen
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2020 – today
- 2024
- [c23]Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
:
Pantypes: Diverse Representatives for Self-Explainable Models. AAAI 2024: 13230-13237 - [c22]Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen:
Fair Soft Clustering. AISTATS 2024: 1270-1278 - [c21]Sebastián Basterrech, Line Harder Clemmensen
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. IJCNN 2024: 1-9 - [c20]Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen:
Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. NLDL 2024: 67-74 - [i17]Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder Clemmensen:
Classification of Tennis Actions Using Deep Learning. CoRR abs/2402.02545 (2024) - [i16]Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen:
Pantypes: Diverse Representatives for Self-Explainable Models. CoRR abs/2403.09383 (2024) - [i15]Sebastián Basterrech, Line H. Clemmensen, Gerardo Rubino:
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. CoRR abs/2404.16656 (2024) - [i14]Smilla Due, Sneha Das, Marianne Andersen, Berta Plandolit López, Sniff Andersen Nexø, Line H. Clemmensen:
Evaluation of Large Language Models: STEM education and Gender Stereotypes. CoRR abs/2406.10133 (2024) - 2023
- [j12]Summer Atkins
Proximal methods for sparse optimal scoring and discriminant analysis. Adv. Data Anal. Classif. 17(4): 983-1036 (2023) - [c19]Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen, Sneha Das
On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. ICASSP 2023: 1-5 - 2022
- [c18]Sneha Das
Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. ICASSP 2022: 6452-6456 - [c17]Sneha Das
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. NLDL 2022 - [c16]Tobias Engelhardt Rasmussen
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. NLDL 2022 - [i13]Line H. Clemmensen, Rune D. Kjærsgaard:
Data Representativity for Machine Learning and AI Systems. CoRR abs/2203.04706 (2022) - [i12]Tobias Engelhardt Rasmussen, Line H. Clemmensen, Andreas Baum:
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. CoRR abs/2203.07033 (2022) - [i11]Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations. CoRR abs/2203.14865 (2022) - [i10]Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. CoRR abs/2203.14867 (2022) - [i9]Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study. CoRR abs/2204.11550 (2022) - [i8]Nicole Nadine Lønfeldt, Flavia D. Frumosu, A.-R. Cecilie Mora-Jensen, Nicklas Leander Lund, Sneha Das, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen:
Computational behavior recognition in child and adolescent psychiatry: A statistical and machine learning analysis plan. CoRR abs/2205.05737 (2022) - [i7]Flavia D. Frumosu, Nicole Nadine Lønfeldt, A.-R. Cecilie Mora-Jensen, Sneha Das, Nicklas Leander Lund, Anne Katrine Pagsberg, Line Katrine Harder Clemmensen:
Interpretability by design using computer vision for behavioral sensing in child and adolescent psychiatry. CoRR abs/2207.04724 (2022) - 2021
- [c15]Frederik Boe Hüttel
Consistent and accurate estimation of stellar parameters from HARPS-N Spectroscopy using Deep Learning. NLDL 2021 - [i6]Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen:
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. CoRR abs/2105.02055 (2021) - [i5]Rune D. Kjærsgaard, Manja G. Grønberg, Line Katrine Harder Clemmensen
Sampling To Improve Predictions For Underrepresented Observations In Imbalanced Data. CoRR abs/2111.09065 (2021) - [i4]Rune D. Kjærsgaard, Aaron Bello-Arufe, Alexander D. Rathcke, Lars A. Buchhave, Line Katrine Harder Clemmensen
Unsupervised Spectral Unmixing For Telluric Correction Using A Neural Network Autoencoder. CoRR abs/2111.09081 (2021) - 2020
- [c14]Jacob Søgaard Larsen, Line H. Clemmensen
Weight Sharing and Deep Learning for Spectral Data. ICASSP 2020: 4227-4231 - [i3]Juan C. Laria, Line H. Clemmensen
A generalized linear joint trained framework for semi-supervised leaning of sparse features. CoRR abs/2006.01671 (2020)
2010 – 2019
- 2019
- [i2]Jacob Søgaard Larsen, Line H. Clemmensen
Deep learning for Chemometric and non-translational data. CoRR abs/1910.00391 (2019) - 2018
- [c13]Gudmundur Einarsson, Line Katrine Harder Clemmensen
Computer Aided Identification of Motion Disturbances Related to Parkinson's Disease. PRIME@MICCAI 2018: 1-8 - 2017
- [j11]Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. Eng. Appl. Artif. Intell. 65: 168-177 (2017) - 2016
- [j10]Xixuan Han, Line Harder Clemmensen
Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysis. Pattern Recognit. 49: 43-54 (2016) - [i1]Soeren H. Welling, Hanne H. F. Refsgaard
Forest Floor Visualizations of Random Forests. CoRR abs/1605.09196 (2016) - 2015
- [j9]Ruta Gronskyte, Line Harder Clemmensen
Pig herd monitoring and undesirable tripping and stepping prevention. Comput. Electron. Agric. 119: 51-60 (2015) - [c12]Jacob Søgaard Larsen, Line Katrine Harder Clemmensen
Non-negative Matrix Factorization for Binary Data. KDIR 2015: 555-563 - [c11]Emil Tyge, Jens J. Pallisgaard, Morten Lillethorup, Nanna G. Hjaltalin, Mary K. Thompson, Line Harder Clemmensen
Characterizing Digital Light Processing (DLP) 3D Printed Primitives. SCIA 2015: 302-313 - 2014
- [j8]Sara Sharifzadeh
Supervised feature selection for linear and non-linear regression of L⁎a⁎b⁎ color from multispectral images of meat. Eng. Appl. Artif. Intell. 27: 211-227 (2014) - [j7]Martin Georg Ljungqvist
Hyperspectral imaging based on diffused laser light for prediction of astaxanthin coating concentration. Mach. Vis. Appl. 25(2): 327-343 (2014) - [j6]Xixuan Han, Line Harder Clemmensen
On Weighted Support Vector Regression. Qual. Reliab. Eng. Int. 30(6): 891-903 (2014) - [c10]Tamara Sliusarenko, Line Harder Clemmensen
How do Student Evaluations of Courses and of Instructors Relate?. CSEDU (2) 2014: 280-287 - [c9]Rafael Romero-Garcia
Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties. Medical Imaging: Image Processing 2014: 903428 - 2013
- [c8]Line Harder Clemmensen, Tamara Sliusarenko, Birgitte Lund Christiansen, Bjarne Kjær Ersbøll:
Effects of Mid-term Student Evaluations of Teaching as Measured by End-of-Term Evaluations - An Emperical Study of Course Evaluations. CSEDU 2013: 303-310 - [c7]Tamara Sliusarenko, Line Harder Clemmensen, Bjarne Kjær Ersbøll:
Text Mining in Students' Course Evaluations - Relationships between Open-ended Comments and Quantitative Scores. CSEDU 2013: 564-573 - [c6]Sara Sharifzadeh
DCT-based characterization of milk products using diffuse reflectance images. DSP 2013: 1-6 - [c5]Stine Harder, Line Harder Clemmensen
Correlation of iris biometrics and DNA. IWBF 2013: 1-4 - [c4]Sara Sharifzadeh
Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging. SCIA 2013: 620-629 - 2012
- [j5]Rafael Romero-Garcia
Effects of network resolution on topological properties of human neocortex. NeuroImage 59(4): 3522-3532 (2012) - [c3]Sune Darkner
Data Driven Constraints for the SVM. MLMI 2012: 70-77 - 2011
- [j4]Line H. Clemmensen
Sparse Discriminant Analysis. Technometrics 53(4): 406-413 (2011) - 2010
- [j3]Aloke Phatak, Harri T. Kiiveri, Line Harder Clemmensen
NetRaVE: constructing dependency networks using sparse linear regression. Bioinform. 26(12): 1576-1577 (2010) - [j2]Line Harder Clemmensen
A comparison of dimension reduction methods with application to multi-spectral images of sand used in concrete. Mach. Vis. Appl. 21(6): 959-968 (2010)
2000 – 2009
- 2009
- [c2]Bjørn S. Dissing, Line H. Clemmensen
Temporal reflectance changes in vegetables. ICCV Workshops 2009: 1917-1922 - 2007
- [j1]David Delgado-Gómez
Precise acquisition and unsupervised segmentation of multi-spectral images. Comput. Vis. Image Underst. 106(2-3): 183-193 (2007) - [c1]Line Harder Clemmensen, David Delgado-Gómez, Bjarne K. Ersbøll:
Individual Discriminative Face Recognition Models Based on Subsets of Features. SCIA 2007: 61-71
Coauthor Index
aka: Bjarne Kjær Ersbøll
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last updated on 2024-10-07 21:24 CEST by the dblp team
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