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Publication search results
found 16 matches
- 2024
- Danlu Chen, Jacob Murel, Taimoor Shahid, Xiang Zhang, Jonathan Parkes Allen, Taylor Berg-Kirkpatrick, David A. Smith:
MONSTERMASH: Multidirectional, Overlapping, Nested, Spiral Text Extraction for Recognition Models of Arabic-Script Handwriting. ICDAR (Workshops 2) 2024: 87-101 - 2023
- Preston K. Robinette, Daniel Moyer, Taylor T. Johnson:
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models. CoRR abs/2310.06951 (2023) - 2021
- Moreno I. Coco, Dan Mønster, Giuseppe Leonardi, Rick Dale, Sebastian Wallot:
Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa. R J. 13(1): 145 (2021) - 2020
- Marek Dvoroznák, Daniel Sýkora, Cassidy J. Curtis, Brian Curless, Olga Sorkine-Hornung, David Salesin:
Monster mash: a single-view approach to casual 3D modeling and animation. ACM Trans. Graph. 39(6): 214:1-214:12 (2020) - Jie Li, Ghazanfar Ali, Ngan V. T. Nguyen, Jon R. Hass, Alan Sill, Tommy Dang, Yang Chen:
MonSTer: An Out-of-the-Box Monitoring Tool for High Performance Computing Systems. CLUSTER 2020: 119-129 - 2018
- Riccardo Fusaroli, Dan Mønster, Andrea Baronchelli, Kristian Tylén:
The impact of social network topology on open-ended and fixed solution problems. CogSci 2018 - 2017
- Dan Mønster, Riccardo Fusaroli, Kristian Tylén, Andreas Roepstorff, Jacob Friis Sherson:
Causal inference from noisy time-series data - Testing the Convergent Cross-Mapping algorithm in the presence of noise and external influence. Future Gener. Comput. Syst. 73: 52-62 (2017) - Daniele Norton, Laura Anna Ripamonti, Mario Ornaghi, Davide Gadia, Dario Maggiorini:
Monsters of Darwin: A Strategic Game Based on Artificial Intelligence and Genetic Algorithms. GHITALY@CHItaly 2017 - Dan Mønster:
Studying Complex Interactions in Real Time: an XMPP-based Framework for Behavioral Experiments. COMPLEXIS 2017: 130-138 - Oleg Yu. Gusikhin, Víctor Méndez Muñoz, Farshad Firouzi, Dan Mønster, Victor Chang:
COMPLEXIS 2016 - Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk, Porto, Portugal, April 24-26, 2017. SciTePress 2017, ISBN 978-989-758-244-8 [contents] - 2016
- Dan Mønster, Riccardo Fusaroli, Kristian Tylén, Andreas Roepstorff, Jacob Friis Sherson:
Inferring Causality from Noisy Time Series Data - A Test of Convergent Cross-Mapping. COMPLEXIS 2016: 48-56 - 2014
- Alekh Agarwal, Daniel J. Hsu, Satyen Kale, John Langford, Lihong Li, Robert E. Schapire:
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits. ICML 2014: 1638-1646 - Alekh Agarwal, Daniel J. Hsu, Satyen Kale, John Langford, Lihong Li, Robert E. Schapire:
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits. CoRR abs/1402.0555 (2014) - 2013
- Rick Dale, Riccardo Fusaroli, Dorthe Døjbak Håkonsson, Patrick G. T. Healey, Dan Mønster, John McGraw, Panagiotis Mitkidis, Kristian Tylén:
Beyond Synchrony: Complementarity and Asynchrony in Joint Action. CogSci 2013 - 2004
- Alessandro Falaschi, Dan Monster, Ivan Dolezal, Michal Krsek:
Academic Streaming in Europe: Report on TF-Netcast. TERENA Networking Conference 2004 - 1997
- Daniel E. Stevenson, Margaret M. Fleck:
Programming Language Support for Digitized Images or, The Monsters in the Closet. DSL 1997: 271-284
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