Lasse Lohilahti Mølgaard
Lasse Lohilahti Mølgaard
Verified email at imm.dtu.dk
Title
Cited by
Cited by
Year
Active vibration-based structural health monitoring system for wind turbine blade: Demonstration on an operating Vestas V27 wind turbine
D Tcherniak, LL Mølgaard
Structural Health Monitoring 16 (5), 536-550, 2017
222017
Vibration-based SHM system: application to wind turbine blades
D Tcherniak, LL Mølgaard
Journal of Physics: Conference Series 628 (1), 012072, 2015
172015
Castsearch-context based spoken document retrieval
LL Molgaard, KW Jorgensen, LK Hansen
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
152007
Speaker Recognition: Special Course
LL Mølgaard, KW Jørgensen
IMM_DTU December 14, 2005
142005
Unsupervised speaker change detection for broadcast news segmentation
K Jørgensen, L Mølgaard, LK Hansen
2006 14th European Signal Processing Conference, 1-5, 2006
132006
Tools for automatic audio indexing
KW Jørgensen, LL Mølgaard
Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark, 2006
102006
Temporal analysis of text data using latent variable models
LL Molgaard, J Larsen, C Goutte
2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009
52009
Improved detection of chemical substances from colorimetric sensor data using probabilistic machine learning
LL Mølgaard, OT Buus, J Larsen, H Babamoradi, IL Thygesen, ...
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing …, 2017
32017
Active vibration-based SHM system: demonstration on an operating Vestas V27 wind turbine
D Tcherniak, LL Mølgaard
8th European Workshop On Structural Health Monitoring (EWSHM 2016), 2016
32016
Context based multimedia information retrieval
LL Mølgaard
Technical University of Denmark (DTU), 2009
22009
Speaker Recognition
LL Mølgaard, KW Jørgensen
22005
Semantic analysis of links in the musical Wikipedia
LL Mølgaard, LK Hansen, J Larsen
2008
LSA–Algorithms
LL Mølgaard
Detection of chemical substances from colorimetric sensor data using probabilistic machine learning
LL Mølgaard, J Larsen
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Articles 1–14