 | 2009 |
| 22 |  | Douglas Eck,
Dan Ellis,
Philippe Hamel:
Workshop summary: Sparse methods for music audio.
ICML 2009: 171 |
| 21 |  | Jean-François Paiement,
Samy Bengio,
Douglas Eck:
Probabilistic models for melodic prediction.
Artif. Intell. 173(14): 1266-1274 (2009) |
| 2008 |
| 20 |  | Jean-François Paiement,
Yves Grandvalet,
Samy Bengio,
Douglas Eck:
A distance model for rhythms.
ICML 2008: 736-743 |
| 2007 |
| 19 |  | Douglas Eck,
Paul Lamere,
Thierry Bertin-Mahieux,
Stephen Green:
Automatic Generation of Social Tags for Music Recommendation.
NIPS 2007 |
| 2006 |
| 18 |  | Jean-François Paiement,
Douglas Eck,
Samy Bengio:
Probabilistic Melodic Harmonization.
Canadian Conference on AI 2006: 218-229 |
| 17 |  | James Bergstra,
Alexandre Lacoste,
Douglas Eck:
Predicting genre labels for artist using FreeDB.
ISMIR 2006: 85-88 |
| 16 |  | Herbert Jaeger,
Douglas Eck:
Can't Get You Out of My Head: A Connectionist Model of Cyclic Rehearsal.
ZiF Workshop 2006: 310-335 |
| 15 |  | James Bergstra,
Norman Casagrande,
Dumitru Erhan,
Douglas Eck,
Balázs Kégl:
Aggregate features and ADABOOSTfor music classification.
Machine Learning 65(2-3): 473-484 (2006) |
| 2005 |
| 14 |  | Jean-François Paiement,
Douglas Eck,
Samy Bengio,
David Barber:
A graphical model for chord progressions embedded in a psychoacoustic space.
ICML 2005: 641-648 |
| 13 |  | Jean-François Paiement,
Douglas Eck,
Samy Bengio:
A Probabilistic Model for Chord Progressions.
ISMIR 2005: 312-319 |
| 12 |  | Norman Casagrande,
Douglas Eck,
Balázs Kégl:
Frame-Level Audio Feature Extraction Using AdaBoost.
ISMIR 2005: 345-350 |
| 11 |  | Douglas Eck,
Norman Casagrande:
Finding Meter in Music Using An Autocorrelation Phase Matrix and Shannon Entropy.
ISMIR 2005: 504-509 |
| 2004 |
| 10 |  | Alex Graves,
Douglas Eck,
Nicole Beringer,
Jürgen Schmidhuber:
Biologically Plausible Speech Recognition with LSTM Neural Nets.
BioADIT 2004: 127-136 |
| 2003 |
| 9 |  | Juan Antonio Pérez-Ortiz,
Felix A. Gers,
Douglas Eck,
Jürgen Schmidhuber:
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets.
Neural Networks 16(2): 241-250 (2003) |
| 2002 |
| 8 |  | Felix A. Gers,
Juan Antonio Pérez-Ortiz,
Douglas Eck,
Jürgen Schmidhuber:
DEKF-LSTM.
ESANN 2002: 369-376 |
| 7 |  | Juan Antonio Pérez-Ortiz,
Jürgen Schmidhuber,
Felix A. Gers,
Douglas Eck:
Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters.
ICANN 2002: 1055-1069 |
| 6 |  | Douglas Eck,
Jürgen Schmidhuber:
Learning the Long-Term Structure of the Blues.
ICANN 2002: 284-289 |
| 5 |  | Felix A. Gers,
Juan Antonio Pérez-Ortiz,
Douglas Eck,
Jürgen Schmidhuber:
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters.
ICANN 2002: 655-660 |
| 4 |  | Jürgen Schmidhuber,
Felix A. Gers,
Douglas Eck:
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM.
Neural Computation 14(9): 2039-2041 (2002) |
| 2001 |
| 3 |  | Douglas Eck:
A Network of Relaxation Oscillators that Finds Downbeats in Rhythms.
ICANN 2001: 1239-1247 |
| 2 |  | Felix A. Gers,
Douglas Eck,
Jürgen Schmidhuber:
Applying LSTM to Time Series Predictable through Time-Window Approaches.
ICANN 2001: 669-676 |
| 1999 |
| 1 |  | Michael Gasser,
Douglas Eck,
Robert Port:
Meter as Mechanism: A Neural Network Model that Learns Metrical Patterns.
Connect. Sci. 11(2): 187-216 (1999) |