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Matthew Howard

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2024
[i5]
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  - journals/corr/abs-2407-17840
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Ashkan Rezanejad, Mostafa Mousa, Matthew Howard, Antonio Elia Forte:
Complex picking via entanglement of granular mechanical metamaterials. CoRR abs/2407.17840 (2024)
[i4]
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Yuqing Zhu, Endong Sun, Matthew Howard:
Using Machine Teaching to Boost Novices' Robot Teaching Skill. CoRR abs/2409.15563 (2024)
2023
[c3]
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  - conf/icassp/HowardH23
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Matthew Howard, Keigo Hirakawa:
Event-Based Visual Microphone. ICASSP 2023: 1-5
[i3]
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  - journals/corr/abs-2307-01875
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Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard:
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning. CoRR abs/2307.01875 (2023)
2021
[i2]
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  - journals/corr/abs-2104-08631
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Marina Y. Aoyama, Matthew Howard:
Training Humans to Train Robots Dynamic Motor Skills. CoRR abs/2104.08631 (2021)
2020
[j1]
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  - journals/hij/GoldenHSHCTS20
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Sara E. Golden, Elizabeth R. Hooker, Sarah Shull, Matthew Howard, Kristina Crothers, Reid F. Thompson, Christopher G. Slatore:
Validity of Veterans Health Administration structured data to determine accurate smoking status. Health Informatics J. 26(3): 1507-1515 (2020)

2010 – 2019

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2019
[i1]
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  - journals/corr/abs-1910-05807
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William Espinoza, Matthew Howard, Julia Lane, Pascal Van Hentenryck:
Shared E-scooters: Business, Pleasure, or Transit? CoRR abs/1910.05807 (2019)
2017
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  - conf/ieeesensors/LamNHLHR17
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Creamy Lam, Yohan Noh, Matthew Howard, Shan Luo, Sangjin Han, Kawal S. Rhode:
Human finger inspired grasping structure using tactile sensing array with single type optoelectronic sensor. IEEE SENSORS 2017: 1-3
2013
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Matthew Howard, Yoshihiko Nakamura:
Locally Weighted Least Squares Temporal Difference Learning. ESANN 2013

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