Line H. Clemmensen

30 papers A* 1A 2B 1C 1Misc 4Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Word Error Rate: Auditing the Diversity Tax in Speech Recognition through Dataset Cartography. CoRR Ting-Hui Cheng, Line H. Clemmensen, Sneha Das
2026	J	`jnl`	Post-hoc Self-explanation of CNNs. CoRR Ahcène Boubekki, Line H. Clemmensen
2025	A	`conf`	An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment. INTERSPEECH Emma Cathrine Liisborg Leschly, Oliver Roesler, Michael Neumann, Jackson Liscombe, Abhishek Hosamath, Lakshmi Arbatti, Line H. Clemmensen, Melanie Ganz, Vikram Ramanarayanan
2025	C	`conf`	EmoTale: An Enacted Speech-emotion Dataset in Danish. ASRU Maja J. Hjuler, Harald V. Skat-Rørdam, Line H. Clemmensen, Sneha Das
2025	J	`jnl`	EmoTale: An Enacted Speech-emotion Dataset in Danish. CoRR Maja J. Hjuler, Harald V. Skat-Rørdam, Line H. Clemmensen, Sneha Das
2025	Misc	`conf`	Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. ICASSP Maja J. Hjuler, Line H. Clemmensen, Sneha Das
2025	J	`jnl`	Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. CoRR Maja J. Hjuler, Line H. Clemmensen, Sneha Das
2024	J	`jnl`	A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection. CoRR Sebastián Basterrech, Line H. Clemmensen, Gerardo Rubino
2024	—	`conf`	Beyond Accuracy: Fairness, Scalability, and Uncertainty Considerations in Facial Emotion Recognition. NLDL Laurits Fromberg, Troels Nielsen, Flavia Dalia Frumosu, Line H. Clemmensen
2024	J	`jnl`	Evaluation of Large Language Models: STEM education and Gender Stereotypes. CoRR Smilla Due, Sneha Das, Marianne Andersen, Berta Plandolit López, Sniff Andersen Nexø, Line H. Clemmensen
2024	A	`conf`	Fair Soft Clustering. AISTATS Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh, Madhumita Kundu, Line H. Clemmensen
2024	A*	`conf`	Pantypes: Diverse Representatives for Self-Explainable Models. AAAI Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
2024	J	`jnl`	Pantypes: Diverse Representatives for Self-Explainable Models. CoRR Rune D. Kjærsgaard, Ahcène Boubekki, Line H. Clemmensen
2023	Misc	`conf`	On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. ICASSP Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen, Sneha Das
2022	J	`jnl`	Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications. CoRR Tobias Engelhardt Rasmussen, Line H. Clemmensen, Andreas Baum
2022	—	`conf`	Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. NLDL Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	J	`jnl`	Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages. CoRR Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	J	`jnl`	Data Representativity for Machine Learning and AI Systems. CoRR Line H. Clemmensen, Rune D. Kjærsgaard
2022	J	`jnl`	Speech Detection For Child-Clinician Conversations In Danish For Low-Resource In-The-Wild Conditions: A Case Study. CoRR Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	Misc	`conf`	Towards Transferable Speech Emotion Representation: On Loss Functions for Cross-Lingual Latent Representations. ICASSP Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2022	J	`jnl`	Towards Transferable Speech Emotion Representation: On loss functions for cross-lingual latent representations. CoRR Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2021	J	`jnl`	Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora. CoRR Sneha Das, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
2020	J	`jnl`	A generalized linear joint trained framework for semi-supervised leaning of sparse features. CoRR Juan C. Laria, Line H. Clemmensen, Bjarne K. Ersbøll
2020	Misc	`conf`	Weight Sharing and Deep Learning for Spectral Data. ICASSP Jacob Søgaard Larsen, Line H. Clemmensen
2019	J	`jnl`	Deep learning for Chemometric and non-translational data. CoRR Jacob Søgaard Larsen, Line H. Clemmensen
2017	J	`jnl`	Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. Eng. Appl. Artif. Intell. Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen, Bjarne K. Ersbøll
2016	J	`jnl`	Forest Floor Visualizations of Random Forests. CoRR Soeren H. Welling, Hanne H. F. Refsgaard, Per Bruun Brockhoff, Line H. Clemmensen
2014	B	`conf`	Sparse and shrunken estimates of MRI networks in the brain and their influence on network properties. Image Processing Rafael Romero-Garcia, Line H. Clemmensen
2011	J	`jnl`	Sparse Discriminant Analysis. Technometrics Line H. Clemmensen, Trevor Hastie, Daniela M. Witten, Bjarne K. Ersbøll
2009	—	`conf`	Temporal reflectance changes in vegetables. ICCV Workshops Bjørn S. Dissing, Line H. Clemmensen, Hanne Løje, Bjarne K. Ersbøll, Jens Adler-Nissen