Line H. Clemmensen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Soft Clustering

Network Properties

Top Venues

Publications

Sebastián Basterrech, Line H. Clemmensen, Gerardo Rubino
A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. CoRR (2024)
Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
Pantypes: Diverse Representatives for Self-Explainable Models. CoRR (2024)
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 (2024)
Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
Pantypes: Diverse Representatives for Self-Explainable Models. AAAI (2024)
Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen
Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. NLDL (2024)
Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen
Fair Soft Clustering. AISTATS (2024)
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)
Tobias Engelhardt Rasmussen, Line H. Clemmensen, Andreas Baum
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. CoRR (2022)
Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. ICASSP (2022)
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. NLDL (2022)
Line H. Clemmensen, Rune D. Kjærsgaard
Data Representativity for Machine Learning and AI Systems. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2021)
Jacob Søgaard Larsen, Line H. Clemmensen
Weight Sharing and Deep Learning for Spectral Data. ICASSP (2020)
Juan C. Laria, Line H. Clemmensen, Bjarne K. Ersbøll
A generalized linear joint trained framework for semi-supervised leaning of sparse features. CoRR (2020)
Jacob Søgaard Larsen, Line H. Clemmensen
Deep learning for Chemometric and non-translational data. CoRR (2019)
Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen, Bjarne K. Ersbøll
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. Eng. Appl. Artif. Intell. 65 (2017)
Soeren H. Welling, Hanne H. F. Refsgaard, Per Bruun Brockhoff, Line H. Clemmensen
Forest Floor Visualizations of Random Forests. CoRR (2016)
Rafael Romero-Garcia, Line H. Clemmensen
Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties. Medical Imaging: Image Processing (2014)
Line H. Clemmensen, Trevor Hastie, Daniela M. Witten, Bjarne K. Ersbøll
Sparse Discriminant Analysis. Technometrics 53 (4) (2011)
Bjørn S. Dissing, Line H. Clemmensen, Hanne Løje, Bjarne K. Ersbøll, Jens Adler-Nissen
Temporal reflectance changes in vegetables. ICCV Workshops (2009)