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2010 – 2019
- 2018
[j2]George Dimitriadis, Joana P. Neto
, Adam R. Kampff:
t-SNE Visualization of Large-Scale Neural Recordings. Neural Comput. 30(7) (2018)- [c4]Darío R. Quiñones, Gonçalo Lopes, Danbee Kim, Cédric Honnet, David Moratal, Adam R. Kampff:
HIVE Tracker: a tiny, low-cost, and scalable device for sub-millimetric 3D positioning. AH 2018: 9:1-9:8 - 2017
- [c3]Atabak Dehban, Lorenzo Jamone, Adam R. Kampff, José Santos-Victor:
A deep probabilistic framework for heterogeneous self-supervised learning of affordances. Humanoids 2017: 476-483 - 2016
- [c2]Atabak Dehban, Lorenzo Jamone, Adam R. Kampff, José Santos-Victor:
Denoising auto-encoders for learning of objects and tools affordances in continuous space. ICRA 2016: 4866-4871 - 2015
- [j1]Gonçalo Lopes, Niccolò Bonacchi, João Frazão, Joana P. Neto, Bassam V. Atallah, Sofia Soares, Luís Moreira, Sara Matias, Pavel M. Itskov, Patrícia A. Correia, Roberto E. Medina, Lorenza Calcaterra, Elena Dreosti, Joseph J. Paton, Adam R. Kampff:
Bonsai: an event-based framework for processing and controlling data streams. Frontiers Neuroinformatics 9: 7 (2015) - 2013
- [c1]Adam R. Kampff:
The Present and Future of Devices for Neural Recording. BIOSTEC 2013: IS-9
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