3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Benchmarking Learning Efficiency in Deep Reservoir Computing
Hugo Cisneros, Josef Sivic, Tomas Mikolov
It is common to evaluate the performance of a machine learning model by measuring its predictive power on a test dataset. This approach favors complicated models that can smoothly…
nlin.CG2021★ 3 cited
Visualizing computation in large-scale cellular automata
Hugo Cisneros, Josef Sivic, Tomas Mikolov
Emergent processes in complex systems such as cellular automata can perform computations of increasing complexity, and could possibly lead to artificial evolution. Such a feat woul…
cs.CL2019
Hybrid Approaches for our Participation to the n2c2 Challenge on Cohort Selection for Clinical Trials
Xavier Tannier, Nicolas Paris, Hugo Cisneros +10
Objective: Natural language processing can help minimize human intervention in identifying patients meeting eligibility criteria for clinical trials, but there is still a long way…