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ORCIDJack Harris
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2020 – today
- 2022
[j2]Abel Torres-Espin
, Carlos A. Almeida, Austin Chou, J. Russell Huie, Michael Chiu, Romana Vavrek, Jeff Sacramento, Michael B. Orr, John C. Gensel, Jeffrey S. Grethe, Maryann E. Martone, Karim Fouad, Adam R. Ferguson, Warren Alilain, Mark Bacon, Nicholas Batty, Michael Beattie, Jacqueline Bresnahan, Emily Burnside, Sarah Busch, Randall Carpenter, Isaac Francos Quijorna, Xiaohui Guo, Agnes Haggerty, Sarah Haroon, Jack Harris, Lyn Jakeman, Linda Jones, Naomi Kleitman, Timothy Kopper, Michael Aron Lane, Francisco Magana, David Magnuson, Ines Maldonado, Verena May, Katelyn McFarlane, Kazuhito Morioka, Martin Oudega, Philip Leo Pascual, Jean-Baptiste Poline, Ephron S. Rosenzweig, Emma Schmidt, Wolfram Tetzlaff, Lana Zholudeva:
Promoting FAIR Data Through Community-driven Agile Design: the Open Data Commons for Spinal Cord Injury (odc-sci.org). Neuroinformatics 20(1): 203-219 (2022)
2010 – 2019
- 2017
- [c13]Tiffany S. Jastrzembski, Matthew M. Walsh, Michael Krusmark, Suzan Kardong-Edgren, Marilyn Oermann, Karey Dufour, Teresa Millwater, Kevin A. Gluck, Glenn Gunzelmann, Jack Harris, Dimitrios Stefanidis:
Personalizing Training to Acquire and Sustain Competence Through Use of a Cognitive Model. HCI (15) 2017: 148-161 - 2016
- [c12]Christopher W. Myers, Kevin A. Gluck, Andrew Halsey, Jack Harris:
Instance-based Learning in Multi-cue Diagnosis. CogSci 2016 - [c11]Armon Toubman, Jan Joris Roessingh, Joost van Oijen, Rikke Amilde Løvlid, Ming Hou, Christophe Meyer, Linus J. Luotsinen, Roel Rijken, Jack Harris, Michal Turcanik:
Modeling behavior of Computer Generated Forces with Machine Learning Techniques, the NATO Task Group approach. SMC 2016: 1906-1911 - [c10]Kurtis Glendenning, Thomas Wischgoll, Jack Harris, Rhonda Vickery, Leslie M. Blaha:
Parameter Space Visualization for Large-scale Datasets Using Parallel Coordinate Plots. Visualization and Data Analysis 2016: 1-8 - 2015
- [b1]Jack Harris:
Séparation de sources en ligne dans des environnements réverbérants en exploitant la localisation des sources. (Online source separation in reverberant environments exploiting known speaker locations). Grenoble Alpes University, France, 2015 - [c9]Jack Harris, Bertrand Rivet, Syed Mohsen Naqvi, Jonathon A. Chambers, Christian Jutten:
Real-time independent vector analysis with Student's t source prior for convolutive speech mixtures. ICASSP 2015: 1856-1860 - 2014
- [j1]Yanfeng Liang, Jack Harris, Syed Mohsen Naqvi, Gaojie Chen, Jonathon A. Chambers:
Independent vector analysis with a generalized multivariate Gaussian source prior for frequency domain blind source separation. Signal Process. 105: 175-184 (2014) - [c8]Vladislav Daniel Veksler, Kevin A. Gluck, Christopher W. Myers, Jack Harris, Thomas Mielke:
Controlling State-Space Explosion in Chunk Learning. CogSci 2014 - [c7]Jack Harris, Bertrand Rivet, Syed Mohsen Naqvi, Jonathon A. Chambers, Christian Jutten:
Principal angles approach to time-domain filter design for target cancelation. DSP 2014: 184-189 - 2013
- [c6]Kevin A. Gluck, Jack Harris, Thomas Mielke, Christopher W. Myers, Vladislav Daniel Veksler:
Explorations in Human and Machine Learning of Decision Trees. CogSci 2013 - [c5]Yanfeng Liang, Jack Harris, Gaojie Chen, Syed Mohsen Naqvi, Christian Jutten, Jonathon A. Chambers:
Auxiliary function based iva using a source prior exploiting fourth order relationships. EUSIPCO 2013: 1-5 - [c4]Jack Harris, Bertrand Rivet, Syed Mohsen Naqvi, Jonathon A. Chambers, Christian Jutten:
Video-informed approach for enhancing audio source separation through noise source suppression. MLSP 2013: 1-6 - 2011
- [c3]Jack Harris, Raquel L. Hill:
StaticTrust: A Practical Framework for Trusted Networked Devices. HICSS 2011: 1-10 - 2010
- [c2]Jack Harris, Raquel L. Hill:
Building a trusted image for embedded systems. CSIIRW 2010: 65 - [c1]Matthias Scheutz, Jack Harris, Sunny K. Boyd:
How to Pick the Right One: Investigating Tradeoffs among Female Mate Choice Strategies in Treefrogs. SAB 2010: 618-627 - [p1]Matthias Scheutz, Jack Harris:
Adaptive Scheduling Algorithms for the Dynamic Distribution and Parallel Execution of Spatial Agent-Based Models. Parallel and Distributed Computational Intelligence 2010: 207-233
Coauthor Index
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