Douglas Eck
- Signal Processing top 0.5%
- Music and Audio Processing 47
- Speech and Audio Processing 16
-
- Music Technology and Sound Studies 42
- Video Analysis and Summarization 3
- Music top 1%
- Cognitive Neuroscience top 5%
- Neuroscience and Music Perception 16
- Artificial Intelligence top 2%
- Topic Modeling 6
- Natural Language Processing Techniques 4
- Neural Networks and Applications 3
- Co-authors
- Philippe HamelJürgen SchmidhuberPaul LamereThierry Bertin-MahieuxJuergen SchmidhuberNorman CasagrandeJames BergstraBalázs Kégl
- Journals
- Journal of New Music Research (2 papers)Psychological Research (1 paper)Neural Networks (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Douglas Eck
58 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Signal Processing 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Music 93
- Cognitive Neuroscience 429
- Artificial Intelligence 561
Countries citing papers authored by Douglas Eck
This map shows the geographic impact of Douglas Eck's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Douglas Eck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Eck more than expected).
Fields of papers citing papers by Douglas Eck
This network shows the impact of papers produced by Douglas Eck. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Douglas Eck. The network helps show where Douglas Eck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Douglas Eck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deduplicating Training Data Makes Language Models Betterbreakdown → | 2022 | 147 |
| 2 | 2020 | 4 | |
| 3 | Human and Automatic Detection of Generated Text. | 2019 | 1 |
| 4 | Music Transformer: Generating Music with Long-Term Structure | 2019 | 119 |
| 5 | A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music | 2018 | 18 |
| 6 | Learning via social awareness: improving sketch representations with facial feedback | 2018 | 2 |
| 7 | Learning Latent Representations of Music to Generate Interactive Musical Palettes | 2018 | 3 |
| 8 | Towards Mixed-initiative generation of multi-channel sequential structure | 2018 | 2 |
| 9 | An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation | 2018 | 21 |
| 10 | Tuning Recurrent Neural Networks with Reinforcement Learning | 2016 | 24 |
| 11 | 2015 | 2 | |
| 12 | An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism | 2009 | 3 |
| 13 | 2009 | 10 | |
| 14 | Metropolis-Hastings sampling in a FilterBoost music classifier | 2008 | 1 |
| 15 | Automatic Generation of Social Tags for Music Recommendation | 2007 | 121 |
| 16 | GEOMETRY IN SOUND: A SPEECH/MUSIC AUDIO CLASSIFIER INSPIRED BY AN IMAGE CLASSIFIER | 2005 | 5 |
| 17 | 2005 | 11 | |
| 18 | 2003 | 70 | |
| 19 | Learning the Long-Term Structure of the Blues | 2002 | 1 |
| 20 | 2002 | 33 |
About Douglas Eck
Douglas Eck is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Music and Artificial Intelligence, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Music and Audio Processing (47 papers), Music Technology and Sound Studies (42 papers), Speech and Audio Processing (16 papers), Neuroscience and Music Perception (16 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Video Analysis and Summarization (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Signal Processing (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations), Music (93 citations), Cognitive Neuroscience (429 citations) and Artificial Intelligence (561 citations). Douglas Eck has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Philippe Hamel, Jürgen Schmidhuber, Paul Lamere, Thierry Bertin-Mahieux, Juergen Schmidhuber, Norman Casagrande, James Bergstra, Balázs Kégl, Dumitru Erhan and Stephen Green. Their work appears in journals such as Journal of New Music Research, Psychological Research, Neural Networks, Connection Science and Machine Learning.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.