Final Inspection for Design Pattern Homologation Using a Real Time Embedded Software in a Production Line. - Gabriel de Souza Pereira Moreira; Denis Ávila Montini; Danilo Douradinho Fernandes; Felipe Rafael Motta Cardoso; Luiz Alberto Vieira Dias; Adilson Marques da Cunha (ITNG, 2009)

Design Patterns Reuse for Real Time Embedded Software Development. - Gabriel de Souza Pereira Moreira; Denis Ávila Montini; Daniela America da Silva; Felipe Rafael Motta Cardoso; Luiz Alberto Vieira Dias; Adilson Marques da Cunha (ITNG, 2009)

ETL Process Model for a Manufacture Cells Production Line Integration. - Harison Pereira Bila de Carvalho; Danilo Battaglia; Denis Ávila Montini; Gabriel de Souza Pereira Moreira; Luiz Alberto Vieira Dias; Paulo Marcelo Tasinaffo (ITNG, 2010)

Software Product Measurement and Analysis in a Continuous Integration Environment. - Gabriel de Souza Pereira Moreira; Roberto Pepato Mellado; Denis Ávila Montini; Luiz Alberto Vieira Dias; Adilson Marques da Cunha (ITNG, 2010)

METACOM: Um Método para Análise de Correlação entre Métricas de Produto de Software e Propensão a Manutenção. - Gabriel de Souza Pereira Moreira; Roberto Pepato Mellado; Adilson Marques da Cunha; Luiz Alberto Vieira Dias (SBQS, 2011)

Recognizing the Brazilian Signs Language Alphabet with Neural Networks over Visual 3D Data Sensor. - Gabriel de Souza Pereira Moreira; Gustavo Ravanhani Matuck; Osamu Saotome; Adilson Marques da Cunha (IBERAMIA, 2014)

A Software Framework for Identifying the Law of Demeter Violations. - Roberto Pepato Mellado; Gabriel de Souza Pereira Moreira; Adilson Marques da Cunha; Luiz Alberto Vieira Dias (ITNG, 2015)

Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions. - Gabriel de Souza Pereira Moreira; Gilmar Alves de Souza; Adilson Marques da Cunha (RecSys Posters, 2015)

A Recommender System to tackle Enterprise Collaboration. - Gabriel de Souza Pereira Moreira; Gilmar Alves de Souza (RecSys, 2016)

CHAMELEON: a deep learning meta-architecture for news recommender systems. - Gabriel de Souza Pereira Moreira (RecSys, 2018)

News Session-Based Recommendations using Deep Neural Networks. - Gabriel de Souza Pereira Moreira; Felipe Ferreira; Adilson Marques da Cunha (DLRS@RecSys, 2018)

On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. - Gabriel de Souza Pereira Moreira; Dietmar Jannach; Adilson Marques da Cunha (INRA@RecSys, 2019)

Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks. - Gabriel de Souza Pereira Moreira; Dietmar Jannach; Adilson Marques da Cunha (IEEE Access, 2019)

Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. - Dietmar Jannach; Gabriel de Souza Pereira Moreira; Even Oldridge (RecSys Challenge, 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 (RecSys Challenge, 2020)

CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]. - Gabriel de Souza Pereira Moreira (CoRR, 2020)

Hybrid Session-based News Recommendation using Recurrent Neural Networks. - Gabriel de Souza Pereira Moreira; Dietmar Jannach; Adilson Marques da Cunha (CoRR, 2020)

End-to-End Session-Based Recommendation on GPU. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Benedikt Schifferer (RecSys, 2021)

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Jeongmin Lee 001; Ronay Ak; Even Oldridge (RecSys, 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 (WebTour@WSDM, 2021)

Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Md Yasin Kabir; Even Oldridge (CoRR, 2021)

Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions. - Adam Lesnikowski; Gabriel de Souza Pereira Moreira; Sara Rabhi; Karl Byleen-Higley (CoRR, 2021)

Reducing the Friction for Building Recommender Systems with Merlin. - Sara Rabhi; Ronay Ak; Marc Romeijn; Gabriel de Souza Pereira Moreira; Benedikt D. Schifferer (KDD, 2022)

Training and Deploying Multi-Stage Recommender Systems. - Ronay Ak; Benedikt Schifferer; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

Building and Deploying a Multi-Stage Recommender System with Merlin. - Karl Higley; Even Oldridge; Ronay Ak; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

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 (RecSys, 2023)

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. - Zhenrui Yue; Sara Rabhi; Gabriel de Souza Pereira Moreira; Dong Wang 002; Even Oldridge (CoRR, 2023)

NV-Retriever: Improving text embedding models with effective hard-negative mining. - Gabriel de Souza Pereira Moreira; Radek Osmulski; Mengyao Xu; Ronay Ak; Benedikt Schifferer; Even Oldridge (CoRR, 2024)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. - Gabriel de Souza Pereira Moreira; Ronay Ak; Benedikt Schifferer; Mengyao Xu; Radek Osmulski; Even Oldridge (CoRR, 2024)

MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark. - Radek Osmulski; Gabriel de Souza Pereira Moreira; Ronay Ak; Mengyao Xu; Benedikt Schifferer; Even Oldridge (CoRR, 2025)

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model. - Mengyao Xu; Gabriel de Souza Pereira Moreira; Ronay Ak; Radek Osmulski; Yauhen Babakhin; Zhiding Yu; Benedikt Schifferer; Even Oldridge (CoRR, 2025)