On design and evaluation of tapped-delay neural network architectures. - Claus Svarer; Lars Kai Hansen; Jan Larsen (ICNN, 1993)

An algorithm for successive identification of reflections. - Kim Vejlby Hansen; Jan Larsen (IEEE Trans. Image Process., 1994)

Training and evaluation of neural networks for multi-variate time series processing. - Torben Fog; Jan Larsen; Lars Kai Hansen (ICNN, 1995)

Classifying Facial Action. - Marian Stewart Bartlett; Paul A. Viola; Terrence J. Sejnowski; Beatrice A. Golomb; Jan Larsen; Joseph C. Hager; Paul Ekman (NIPS, 1995)

Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS. - Morten With Pedersen; Lars Kai Hansen; Jan Larsen (NIPS, 1995)

Revisiting Boltzmann learning: parameter estimation in Markov random fields. - Lars Kai Hansen; Lars Nonboe Andersen; Ulrik Kjems; Jan Larsen (ICASSP, 1996)

Unsupervised learning and generalization. - Lars Kai Hansen; Jan Larsen (ICNN, 1996)

Adaptive Regularization in Neural Network Modeling. - Jan Larsen; Claus Svarer; Lars Nonboe Andersen; Lars Kai Hansen (Neural Networks: Tricks of the Trade, 1996)

Linear unlearning for cross-validation. - Lars Kai Hansen; Jan Larsen (Adv. Comput. Math., 1996)

Early stop criterion from the bootstrap ensemble. - Lars Kai Hansen; Jan Larsen; Torben Fog (ICASSP, 1997)

Generalization: The Hidden Agenda of Learning. - Jan Larsen; Lars Kai Hansen (IEEE Signal Process. Mag., 1997)

Adaptive regularization of neural networks using conjugate gradient. - Cyril Goutte; Jan Larsen (ICASSP, 1998)

Design of robust neural network classifiers. - Jan Larsen; Lars Nonboe Andersen; Mads Hintz-Madsen; Lars Kai Hansen (ICASSP, 1998)

Neural classifier construction using regularization, pruning and test error estimation. - Mads Hintz-Madsen; Lars Kai Hansen; Jan Larsen; Morten With Pedersen; Michael Larsen (Neural Networks, 1998)

Sonar discrimination of cylinders from different angles using neural networks. - Lars Nonboe Andersen; Whitlow W. L. Au; Jan Larsen; Lars Kai Hansen (ICASSP, 1999)

Modeling text with generalizable Gaussian mixtures. - Lars Kai Hansen; Sigurdur Sigurdsson; Thomas Kolenda; Finn Årup Nielsen; Ulrik Kjems; Jan Larsen (ICASSP, 2000)

Adaptive Metric Kernel Regression. - Cyril Goutte; Jan Larsen (J. VLSI Signal Process., 2000)

Blind detection of independent dynamic components. - Lars Kai Hansen; Jan Larsen; Thomas Kolenda (ICASSP, 2001)

Outlier estimation and detection application to skin lesion classification. - Sigurdur Sigurdsson; Jan Larsen; Lars Kai Hansen; Peter Alshede Philipsen; Hans-Christian Wulf (ICASSP, 2002)

Independent component analysis for understanding multimedia content. - Thomas Kolenda; Lars Kai Hansen; Jan Larsen; Ole Winther (NNSP, 2002)

Clustering of Sun exposure measurements. - Anna Szymkowiak-Have; Jan Larsen; Lars Kai Hansen; Peter Alshede Philipsen; Elisabeth Thieden; Hans-Christian Wulf (NNSP, 2002)

Exploring fMRI data for periodic signal components. - Lars Kai Hansen; Finn Årup Nielsen; Jan Larsen (Artif. Intell. Medicine, 2002)

Guest editorial special issue on intelligent multimedia processing. - Ling Guan; Tülay Adali; Shigeru Katagiri; Jan Larsen; José C. Príncipe (IEEE Trans. Neural Networks, 2002)

Guest Editorial. - Yu Hen Hu; Jan Larsen (J. VLSI Signal Process., 2002)

Guest Editors' Introduction. - Marc M. Van Hulle; Jan Larsen; Tülay Adali (J. VLSI Signal Process., 2002)

Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. - Joaquin Quiñonero Candela; Agathe Girard; Jan Larsen; Carl Edward Rasmussen (ICASSP (2), 2003)

Unsupervised condition change detection in large diesel engines. - Niels Henrik Pontoppidan; Jan Larsen (NNSP, 2003)

Decision time horizon for music genre classification using short time features. - Peter Ahrendt; Anders Meng; Jan Larsen (EUSIPCO, 2004)

Pruning The Vocabulary For Better Context Recognition. - Rasmus Elsborg Madsen; Sigurdur Sigurdsson; Lars Kai Hansen; Jan Larsen (ICPR (2), 2004)

Mapping from Speech to Images Using Continuous State Space Models. - Tue Lehn-Schiøler; Lars Kai Hansen; Jan Larsen (MLMI, 2004)

Detection of skin cancer by classification of Raman spectra. - Sigurdur Sigurdsson; Peter Alshede Philipsen; Lars Kai Hansen; Jan Larsen; Monika Gniadecka; Hans-Christian Wulf (IEEE Trans. Biomed. Eng., 2004)

Guest Editorial for Special Issue on Machine Learning for Signal Processing. - David J. Miller 001; Tülay Adali; Jan Larsen; Marc M. Van Hulle (J. VLSI Signal Process., 2004)

Improving music genre classification by short time feature integration. - Anders Meng; Peter Ahrendt; Jan Larsen (ICASSP (5), 2005)

On the difference between updating the mixing matrix and updating the separation matrix. - Michael Syskind Pedersen; Ulrik Kjems; Jan Larsen (ICASSP (5), 2005)

Neural Networks in Signal Processing. - Marc M. Van Hulle; Jan Larsen (Neurocomputing, 2005)

BLUES from Music: BLind Underdetermined Extraction of Sources from Music. - Michael Syskind Pedersen; Tue Lehn-Schiøler; Jan Larsen (ICA, 2006)

Separating Underdetermined Convolutive Speech Mixtures. - Michael Pedersen; DeLiang Wang; Jan Larsen; Ulrik Kjems (ICA, 2006)

On Data and Parameter Estimation Using the Variational Bayesian EM-Algorithm for Block-Fading Frequency-Selective MIMO Channels. - Lars P. B. Christensen; Jan Larsen (ICASSP (4), 2006)

Optimal filtering of dynamics in short-time features for music organization. - Jerónimo Arenas-García; Jan Larsen; Lars Kai Hansen; Anders Meng (ISMIR, 2006)

Clustering via kernel decomposition. - Anna Szymkowiak-Have; Mark A. Girolami; Jan Larsen (IEEE Trans. Neural Networks, 2006)

Introductory Note. - Allan Kardec Barros; Danilo P. Mandic; Jan Larsen (J. VLSI Signal Process., 2006)

Learning and clean-up in a large scale music database. - Lars Kai Hansen; Tue Lehn-Schiøler; Kaare Brandt Petersen; Jerónimo Arenas-García; Jan Larsen; Søren Holdt Jensen (EUSIPCO, 2007)

Temporal Feature Integration for Music Genre Classification. - Anders Meng; Peter Ahrendt; Jan Larsen; Lars Kai Hansen (IEEE Trans. Speech Audio Process., 2007)

Machine Learning for Signal Processing. - Marc M. Van Hulle; Jan Larsen (Neurocomputing, 2008)

Two-Microphone Separation of Speech Mixtures. - Michael Syskind Pedersen; DeLiang Wang; Jan Larsen; Ulrik Kjems (IEEE Trans. Neural Networks, 2008)

Robust isolated speech recognition using binary masks. - Seliz Gulsen Karadogan; Jan Larsen; Michael Syskind Pedersen; Jesper Bünsow Boldt (EUSIPCO, 2010)

Combination of recursive supervised and semisupervised filters for improved unbiased estimation. - Jerónimo Arenas-García; Carlos Moriana-Varo; Jan Larsen (ISWCS, 2010)

How efficient is estimation with missing data? - Seliz G. Karadogan; Letizia Marchegiani; Lars Kai Hansen; Jan Larsen (ICASSP, 2011)

The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. - Letizia Marchegiani; Seliz G. Karadogan; Tobias Andersen; Jan Larsen; Lars Kai Hansen (ICMLA (1), 2011)

Augmenting the sound experience at music festivals using mobile phones. - Jakob Eg Larsen; Arkadiusz Stopczynski; Jan Larsen; Claus Vesterskov; Peter Krogsgaard; Thomas Sondrup (IUI, 2011)

Data representation and feature selection for colorimetric sensor arrays used as explosives detectors. - Tommy S. Alstrøm; Jan Larsen; Natalie V. Kostesha; Mogens H. Jakobsen; Anja Boisen (MLSP, 2011)

Efficient preference learning with pairwise continuous observations and Gaussian Processes. - Bjørn Sand Jensen; Jens Brehm Nielsen; Jan Larsen (MLSP, 2011)

Top-down attentionwith features missing at random. - Seliz G. Karadogan; Letizia Marchegiani; Jan Larsen; Lars Kai Hansen (MLSP, 2011)

Preface. - Tieniu Tan; Shigeru Katagiri; Jianhua Tao 001; Atsushi Nakamura; Jan Larsen (MLSP, 2011)

Trends in Machine Learning for Signal Processing [In the Spotlight]. - Tülay Adali; David J. Miller 001; Konstantinos I. Diamantaras; Jan Larsen (IEEE Signal Process. Mag., 2011)

Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior. - Morten Arngren; Mikkel N. Schmidt; Jan Larsen (J. Signal Process. Syst., 2011)

Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons. - Jens Madsen; Bjørn Sand Jensen; Jan Larsen (CMMR, 2012)

Combining semantic and acoustic features for valence and arousal recognition in speech. - Seliz Gulsen Karadogan; Jan Larsen (CIP, 2012)

Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors. - Tommy S. Alstrøm; Raviv Raich; Natalie V. Kostesha; Jan Larsen (ICASSP, 2012)

A predictive model of music preference using pairwise comparisons. - Bjørn Sand Jensen; Javier Saez Gallego; Jan Larsen (ICASSP, 2012)

Haussdorff and hellinger for colorimetric sensor array classification. - Tommy S. Alstrøm; Bjørn Sand Jensen; Mikkel N. Schmidt; Natalie V. Kostesha; Jan Larsen (MLSP, 2012)

Pseudo inputs for pairwise learning with Gaussian processes. - Jens Brehm Nielsen; Bjørn Sand Jensen; Jan Larsen (MLSP, 2012)

An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry. - Rasmus G. Haahr; Sune B. Duun; Mette H. Toft; Bo Belhage; Jan Larsen; Karen Birkelund; Erik V. Thomsen (IEEE Trans. Biomed. Circuits Syst., 2012)

Adaptive Regularization in Neural Network Modeling. - Jan Larsen; Claus Svarer; Lars Nonboe Andersen; Lars Kai Hansen (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Towards a universal representation for audio information retrieval and analysis. - Bjørn Sand Jensen; Rasmus Troelsgård; Jan Larsen; Lars Kai Hansen (ICASSP, 2013)

Bounded Gaussian process regression. - Bjørn Sand Jensen; Jens Brehm Nielsen; Jan Larsen (MLSP, 2013)

Preface. - Lars Kai Hansen; Søren Holdt Jensen; Jan Larsen (CIP, 2014)

Modeling Temporal Structure in Music for Emotion Prediction using Pairwise Comparisons. - Jens Madsen; Bjørn Sand Jensen; Jan Larsen (ISMIR, 2014)

Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization. - Tommy S. Alstrøm; Kasper B. Frohling; Jan Larsen; Mikkel N. Schmidt; Michael Bache; Michael S. Schmidt; Mogens H. Jakobsen; Anja Boisen (MLSP, 2014)

Guest Editorial: Machine Learning for Signal Processing. - Shigeru Katagiri; Atsushi Nakamura; Tülay Adali; Jianhua Tao 001; Jan Larsen; Tieniu Tan (J. Signal Process. Syst., 2014)

¿El Caballo Viejo? Latin Genre Recognition with Deep Learning and Spectral Periodicity. - Bob L. Sturm; Corey Kereliuk; Jan Larsen (MCM, 2015)

Learning Combinations of Multiple Feature Representations for Music Emotion Prediction. - Jens Madsen; Bjørn Sand Jensen; Jan Larsen (ASM@ACM Multimedia, 2015)

Deep learning, audio adversaries, and music content analysis. - Corey Kereliuk; Bob L. Sturm; Jan Larsen (WASPAA, 2015)

Perception-Based Personalization of Hearing Aids Using Gaussian Processes and Active Learning. - Jens Brehm Bagger Nielsen; Jakob Nielsen; Jan Larsen (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Deep Learning and Music Adversaries. - Corey Kereliuk; Bob L. Sturm; Jan Larsen (IEEE Trans. Multim., 2015)

Guest Editorial: Machine Learning for Signal Processing. - Saeid Sanei; Paris Smaragdis; Anthony T. S. Ho; Asoke K. Nandi; Jan Larsen (J. Signal Process. Syst., 2015)

Predicting Changes in Affective States using Neural Networks. - Stina Lyck Carstensen; Jens Madsen; Jan Larsen (CoRR, 2016)

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy. - Tommy S. Alstrøm; Mikkel N. Schmidt; Tomas Rindzevicius; Anja Boisen; Jan Larsen (ICASSP, 2017)

Learning Preferences and Soundscapes for Augmented Hearing. - Maciej Jan Korzepa; Benjamin Johansen; Michael Kai Petersen; Jan Larsen; Jakob Eg Larsen; Niels Henrik Pontoppidan (IUI Workshops, 2018)

Modeling User Intents as Context in Smartphone-connected Hearing Aids. - Maciej Jan Korzepa; Benjamin Johansen; Michael Kai Petersen; Jan Larsen; Jakob Eg Larsen; Niels Henrik Pontoppidan (UMAP (Adjunct Publication), 2018)

Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data. - Benjamin Johansen; Michael Kai Petersen; Maciej Jan Korzepa; Jan Larsen; Niels Henrik Pontoppidan; Jakob Eg Larsen (Comput., 2018)

Scalable Privacy-Compliant Virality Prediction on Twitter. - Damian Konrad Kowalczyk; Jan Larsen (AffCon@AAAI, 2019)

Peak Detection and Baseline Correction Using a Convolutional Neural Network. - Mikkel N. Schmidt; Tommy S. Alstrøm; Marcus Svendstorp; Jan Larsen (ICASSP, 2019)