Gilberto Titericz

GPU Accelerated Feature Engineering and Training for Recommender Systems

Benedikt Schifferer, Gilberto Titericz, Chris Deotte, 2020, RecSys Challenge.

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms pdf

Bojan Tunguz, Gilberto Titericz, Jiwei Liu, 2020, ArXiv.

Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

Brian Litt, Feng Li, Alexandre Barachant, 2018, Brain : a journal of neurology.

Ensembling crowdsourced seizure prediction algorithms using long‐term human intracranial EEG

Alexandre Barachant, Levin Kuhlmann, Feng Li, 2019, Epilepsia.

Comparing Different Transmission Strategies Using Turbo Codes for Nonuniform Memoryless Sources

Richard Demo Souza, Javier Garcia-Frías, Gilberto Titericz, 2007, 2007 IEEE International Conference on Communications.

Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations

Gabriel de Souza Pereira Moreira, Ronay Ak, Gilberto Titericz, 2021, WebTour@WSDM.

GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems

Gilberto Titericz, Chris Deotte, Bo Liu, 2021, RecSys Challenge.