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ORCIDGiuseppe Cuccu
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2020 – today
- 2022
[c16]Giuseppe Cuccu, Christophe Broillet, Carolin Reischauer, Harriet Thöny, Philippe Cudré-Mauroux
:
Typhon: Parallel Transfer on Heterogeneous Datasets for Cancer Detection in Computer-Aided Diagnosis. IEEE Big Data 2022: 5223-5232- [c15]Giuseppe Cuccu, Luca Rolshoven, Fabien Vorpe, Philippe Cudré-Mauroux, Tobias Glasmachers:
DiBB: distributing black-box optimization. GECCO 2022: 341-349 - 2021
- [j1]Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with few neurons. Auton. Agents Multi Agent Syst. 35(2): 17 (2021) - [c14]Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux:
MARTA: Leveraging Human Rationales for Explainable Text Classification. AAAI 2021: 5868-5876 - 2020
- [c13]Declan Oller, Tobias Glasmachers, Giuseppe Cuccu:
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. AAMAS 2020: 975-982 - [c12]Giuseppe Cuccu, Johan Jobin, Julien Clément, Akansha Bhardwaj, Carolin Reischauer, Harriet Thöny, Philippe Cudré-Mauroux:
Hydra: Cancer Detection Leveraging Multiple Heads and Heterogeneous Datasets. IEEE BigData 2020: 4842-4849 - [c11]Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons (Extended Abstract). IJCAI 2020: 4711-4715 - [i2]Declan Oller, Tobias Glasmachers, Giuseppe Cuccu:
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing. CoRR abs/2004.07707 (2020)
2010 – 2019
- 2019
- [c10]Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons. AAMAS 2019: 998-1006 - 2018
- [i1]Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons. CoRR abs/1806.01363 (2018) - 2017
- [c9]Giuseppe Cuccu, Somayeh Danafar, Philippe Cudré-Mauroux, Martin Gassner, Stefano Bernero, Krzysztof Kryszczuk:
A data-driven approach to predict NOx-emissions of gas turbines. IEEE BigData 2017: 1283-1288 - 2013
- [c8]Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez:
Evolving large-scale neural networks for vision-based TORCS. FDG 2013: 206-212 - [c7]Jan Koutník, Giuseppe Cuccu, Jürgen Schmidhuber, Faustino J. Gomez:
Evolving large-scale neural networks for vision-based reinforcement learning. GECCO 2013: 1061-1068 - 2012
- [c6]Giuseppe Cuccu, Faustino J. Gomez:
Block Diagonal Natural Evolution Strategies. PPSN (2) 2012: 488-497 - 2011
- [c5]Giuseppe Cuccu, Faustino J. Gomez, Tobias Glasmachers:
Novelty-based restarts for evolution strategies. IEEE Congress on Evolutionary Computation 2011: 158-163 - [c4]Giuseppe Cuccu, Faustino J. Gomez:
When Novelty Is Not Enough. EvoApplications (1) 2011: 234-243 - [c3]Giuseppe Cuccu, Matthew D. Luciw, Jürgen Schmidhuber, Faustino J. Gomez:
Intrinsically motivated neuroevolution for vision-based reinforcement learning. ICDL-EPIROB 2011: 1-7
2000 – 2009
- 2009
- [c2]Leonardo Vanneschi, Giuseppe Cuccu:
Variable size population for dynamic optimization with genetic programming. GECCO 2009: 1895-1896 - [c1]Leonardo Vanneschi, Giuseppe Cuccu:
A Study of Genetic Programming Variable Population Size for Dynamic Optimization Problems. IJCCI 2009: 119-126
Coauthor Index
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