Gilberto Titericz

According to our database, Gilberto Titericz authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

TSPP: A Unified Benchmarking Tool for Time-series Forecasting.

Jan Baczek, Dmytro Zhylko, Gilberto Titericz, Sajad Darabi, Jean-Francois Puget, Izzy Putterman, Dawid Majchrowski, Anmol Gupta, Kyle Kranen, Pawel Morkisz

CoRR, 2023

Investigating the effects of incremental training on neural ranking models.

Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Heterogenous Ensemble of Models for Molecular Property Prediction.

Sajad Darabi, Shayan Fazeli, Jiwei Liu, Alexandre Milesi, Pawel Morkisz, Jean-François Puget, Gilberto Titericz

CoRR, 2022

2021

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

Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

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

Chris Deotte, Bo Liu, Benedikt Schifferer, Gilberto Titericz

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

2020

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

Jiwei Liu, Bojan Tunguz, Gilberto Titericz

CoRR, 2020

GPU Accelerated Feature Engineering and Training for Recommender Systems.

Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020