A system of agent-based software patterns for user modeling based on usage mining. - Rosario Girardi; Leandro Balby Marinho; Ismênia Ribeiro de Oliveira (Interact. Comput., 2005)

Collaborative Tag Recommendations. - Leandro Balby Marinho; Lars Schmidt-Thieme (GfKl, 2007)

Tag Recommendations in Folksonomies. - Robert Jäschke; Leandro Balby Marinho; Andreas Hotho; Lars Schmidt-Thieme; Gerd Stumme (PKDD, 2007)

A domain model of Web recommender systems based on usage mining and collaborative filtering. - Rosario Girardi; Leandro Balby Marinho (Requir. Eng., 2007)

Tag-aware recommender systems by fusion of collaborative filtering algorithms. - Karen H. L. Tso-Sutter; Leandro Balby Marinho; Lars Schmidt-Thieme (SAC, 2008)

Folksonomy-Based Collabulary Learning. - Leandro Balby Marinho; Krisztián Búza; Lars Schmidt-Thieme (ISWC, 2008)

Tag recommendations in social bookmarking systems. - Robert Jäschke; Leandro Balby Marinho; Andreas Hotho; Lars Schmidt-Thieme; Gerd Stumme (AI Commun., 2008)

Cross-tagging for personalized open social networking. - Avare Stewart; Ernesto Diaz-Aviles; Wolfgang Nejdl; Leandro Balby Marinho; Alexandros Nanopoulos; Lars Schmidt-Thieme (Hypertext, 2009)

Learning optimal ranking with tensor factorization for tag recommendation. - Steffen Rendle; Leandro Balby Marinho; Alexandros Nanopoulos; Lars Schmidt-Thieme (KDD, 2009)

Relational Classification for Personalized Tag Recommendation. - Leandro Balby Marinho; Christine Preisach; Lars Schmidt-Thieme (DC@PKDD/ECML, 2009)

Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. - Christine Preisach; Leandro Balby Marinho; Lars Schmidt-Thieme (PAKDD (1), 2010)

Social Tagging Recommender Systems. - Leandro Balby Marinho; Alexandros Nanopoulos; Lars Schmidt-Thieme; Robert Jäschke; Andreas Hotho; Gerd Stumme; Panagiotis Symeonidis (Recommender Systems Handbook, 2011)

Recommender Systems for Social Tagging Systems. - Leandro Balby Marinho; Andreas Hotho; Robert Jäschke; Alexandros Nanopoulos; Steffen Rendle; Lars Schmidt-Thieme; Gerd Stumme; Panagiotis Symeonidis (Springer, 2012)

Construção de Mapa de Tópicos Semânticos Baseado na Integração de Fontes Heterogêneas. - José Gildo de Araújo Júnior; Ulrich Schiel; Leandro Balby Marinho (SBBD (Short Papers), 2012)

Compass clustering: a new clustering method for detection of points of interest using personal collections of georeferenced and oriented photographs. - Yuri Almeida Lacerda; Robson Gonçalves Fechine Feitosa; Guilherme Álvaro Rodrigues Maia Esmeraldo; Cláudio de Souza Baptista; Leandro Balby Marinho (WebMedia, 2012)

Improving location recommendations with temporal pattern extraction. - Leandro Balby Marinho; Iury Nunes; Thomas Sandholm; Caio Nóbrega; Jordão Araújo; Carlos Eduardo Santos Pires (WebMedia, 2012)

Extracting Geospatial Preferences Using Relational Neighbors. - Leandro Balby Marinho; Thomas Sandholm; Cláudio de Souza Baptista; Iury Nunes; Caio Nóbrega; Jordão Araújo (J. Inf. Data Manag., 2012)

On Building Semantically Enhanced Location-Based Social Networks. - Cláudio de Souza Baptista; Luciana Cavalcante de Menezes; Maxwell Guimarães de Oliveira; Ana Gabrielle Ramos Falcão; Leandro Balby Marinho (GEOINFO, 2013)

Exploring the Relation Between Novelty Aspects and Preferences in Music Listening. - Andryw Marques Ramos; Nazareno Andrade; Leandro Balby Marinho (ISMIR, 2013)

Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces. - Emanuel Lacic; Dominik Kowald; Lukas Eberhard; Christoph Trattner; Denis Parra; Leandro Balby Marinho (MSM/MUSE, 2013)

Early Classification: A New Heuristic to Improve the Classification Step of K-Means. - Joaquín Pérez Ortega; Carlos Eduardo Santos Pires; Leandro Balby Marinho; Adriana Mexicano; Miguel Angel Hidalgo (J. Inf. Data Manag., 2013)

Event Recommendation in Event-based Social Networks. - Augusto Q. de Macedo; Leandro Balby Marinho (HT (Doctoral Consortium / Late-breaking Results / Workshops), 2014)

A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN. - Iury Nunes; Leandro Balby Marinho (LA-WEB, 2014)

Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. - Emanuel Lacic; Dominik Kowald; Lukas Eberhard; Christoph Trattner; Denis Parra; Leandro Balby Marinho (CoRR, 2014)

Predicting the Learning Rate of Gradient Descent for Accelerating Matrix Factorization. - Caio Nóbrega; Leandro Balby Marinho (J. Inf. Data Manag., 2014)

DYSCS: A platform to build geographically and semantically enhanced social content sites. - Luciana Cavalcante de Menezes; Cláudio de Souza Baptista; Ana Gabrielle Ramos Falcão; Maxwell Guimarães de Oliveira; Leandro Balby Marinho (J. Syst. Softw., 2014)

Context-Aware Event Recommendation in Event-based Social Networks. - Augusto Q. de Macedo; Leandro Balby Marinho; Rodrygo L. T. Santos (RecSys, 2015)

Are Real-World Place Recommender Algorithms Useful in Virtual World Environments? - Leandro Balby Marinho; Christoph Trattner; Denis Parra (RecSys, 2015)

An approach for building lexical-semantic resources based on heterogeneous information sources. - José Gildo de Araújo Júnior; Ulrich Schiel; Leandro Balby Marinho (SAC, 2015)

A supervised learning approach to detect subsumption relations between tags in folksonomies. - Alex Sandro da Cunha Rego; Leandro Balby Marinho; Carlos Eduardo S. Pires (SAC, 2015)

SPS'15: 2015 International Workshop on Social Personalization & Search. - Christoph Trattner; Denis Parra; Peter Brusilovsky; Leandro Balby Marinho (SIGIR, 2015)

Um Jogo Didático para Detecção de Problemas de Qualidade de Dados em Bancos de Dados Relacionais. - Carlos Eduardo S. Pires; Andreza Raquel Monteiro de Queiroz; Dandara Dantas Navarro; Leandro Balby Marinho; Vládia Freire Pires (Revista Brasileira de Informática na Educ., 2015)

Report on the SIGIR 2015 Workshop on Social Personalization and Search. - Christoph Trattner; Denis Parra; Peter Brusilovsky; Leandro Balby Marinho (SIGIR Forum, 2015)

Understanding the Impact of Weather for POI Recommendations. - Christoph Trattner; Alexander Oberegger; Lukas Eberhard; Denis Parra; Leandro Balby Marinho (RecTour@RecSys, 2016)

A Content-Based Approach for Recommending UML Sequence Diagrams. - Thaciana G. O. Cerqueira; Franklin Ramalho; Leandro Balby Marinho (SEKE, 2016)

Editorial. - Caetano Traina Júnior; Robson L. F. Cordeiro; Leandro Balby Marinho (J. Inf. Data Manag., 2016)

Exploiting Academic Records for Predicting Student Drop Out: a case study in Brazilian higher education. - Allan Sales; Leandro Balby; Adalberto Cajueiro (J. Inf. Data Manag., 2016)

A Multiobjective Music Recommendation Approach for Aspect-Based Diversification. - Ricardo S. Oliveira; Caio Nóbrega; Leandro Balby Marinho; Nazareno Andrade (ISMIR, 2017)

Exploiting photo location and direction for clustering-based points-of-interest discovery. - Yuri Almeida Lacerda; Leandro Balby Marinho; Cláudio de Souza Baptista; Chiara Renso; Raffaele Perego 001 (SAC, 2017)

Profiling Successful Team Behaviors in League of Legends. - Fernando Felix do Nascimento Junior; Allan Sales da Costa Melo; Igor Barbosa da Costa; Leandro Balby Marinho (WebMedia, 2017)

Fairness and Transparency of Machine Learning for Trustworthy Cloud Services. - Nuno Antunes; Leandro Balby; Flavio Figueiredo; Nuno Lourenço 002; Wagner Meira Jr.; Walter Santos (DSN Workshops, 2018)

Healthy Menus Recommendation: Optimizing the Use of the Pantry. - Jefferson Emanuel Caldeira Da Silva; Ricardo S. Oliveira; Leandro Balby Marinho; Christoph Trattner (HealthRecSys@RecSys, 2018)

Using Online Economic News to Predict Trends in Brazilian Stock Market Sectors. - José Gildo de Araújo Júnior; Leandro Balby Marinho (WebMedia, 2018)

Investigating the utility of the weather context for point of interest recommendations. - Christoph Trattner; Alexander Oberegger; Leandro Balby Marinho; Denis Parra (J. Inf. Technol. Tour., 2018)

Media Bias Characterization in Brazilian Presidential Elections. - Allan Sales da Costa Melo; Leandro Balby Marinho; Adriano Alonso Veloso (SIdEWayS@HT, 2019)

Fake News Classification Based on Subjective Language. - Caio Libânio Melo Jerônimo; Leandro Balby Marinho; Cláudio E. C. Campelo; Adriano Veloso; Allan Sales da Costa Melo (iiWAS, 2019)

Feature Evaluation for Project Preferences Representation in GitHub. - Thaciana G. O. Cerqueira; Leandro Balby Marinho; Franklin Ramalho (MLDM (2), 2019)

Towards explaining recommendations through local surrogate models. - Caio Nóbrega; Leandro Balby Marinho (SAC, 2019)

Computing with Subjectivity Lexicons. - Caio Libânio Melo Jerônimo; Cláudio Elízio Calazans Campelo; Leandro Balby Marinho; Allan Sales da Costa Melo; Adriano Veloso; Roberta Viola (LREC, 2020)

Evaluating the Emergence of Winning Tickets by Structured Pruning of Convolutional Networks. - Whendell F. Magalhães; Jeferson Ferreira; Herman Martins Gomes; Leandro Balby Marinho; Plínio Silveira (SIBGRAPI, 2020)

Analysis of the Subjectivity Level in Fake News Fragments. - Lucas Lima Vieira; Caio Libânio Melo Jerônimo; Cláudio E. C. Campelo; Leandro Balby Marinho (WebMedia, 2020)

A New Approach for Measuring Subjectivity in Brazilian News. - Diogo Florêncio de Lima; Allan Sales da Costa Melo; D. L. Carvalho; Leandro Balby Marinho (J. Inf. Data Manag., 2020)

Evaluating Edge-Cloud Computing Trade-Offs for Mobile Object Detection and Classification with Deep Learning. - Whendell F. Magalhães; Mainara Farias; Leandro Balby Marinho; Herman Martins Gomes; Glaucimar Aguiar; Plínio Silveira (J. Inf. Data Manag., 2020)

Assessing Media Bias in Cross-Linguistic and Cross-National Populations. - Allan Sales; Albin Zehe; Leandro Balby Marinho; Adriano Veloso; Andreas Hotho; Janna Omeliyanenko (ICWSM, 2021)

Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings. - Leandro Balby Marinho; Júlio Barreto Guedes da Costa; Denis Parra; Rodrygo L. T. Santos (IUI, 2022)

Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil. - Lucas Raniére Juvino Santos; Leandro Balby Marinho; Cláudio Elízio Calazans Campelo (WebMedia, 2022)

Leveraging Large Language Models for Goal-driven Interactive Recommendations. - Alan Said; Martijn C. Willemsen; Leandro Balby Marinho; Itallo Silva (HAI, 2023)

Leveraging Large Language Models for Recommendation and Explanation. - Itallo Silva; Alan Said; Leandro Balby Marinho; Martijn C. Willemsen (IntRS@RecSys, 2023)

Evaluating Pre-training Strategies for Collaborative Filtering. - Júlio B. G. Costa; Leandro Balby Marinho; Rodrygo L. T. Santos; Denis Parra (UMAP, 2023)

Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step. - Thiago Pereira da Nóbrega; Carlos Eduardo S. Pires; Dimas Cassimiro do Nascimento; Leandro Balby Marinho (Data Knowl. Eng., 2023)

Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems. - Itallo Silva; Leandro Balby Marinho; Alan Said; Martijn C. Willemsen (IUI, 2024)

A Tool for Explainable Pension Fund Recommendations using Large Language Models. - Eduardo Alves da Silva; Leandro Balby Marinho; Edleno Silva de Moura; Altigran Soares da Silva (RecSys, 2024)

Leveraging Query Terms for Efficient Legal Document Recommendation. - André Rolim; Leandro Balby Marinho; Edleno Silva de Moura; Marcos Aurélio Domingues; Ricardo S. Oliveira (ECIR (3), 2025)

Can Large Language Models Effectively Mitigate Polarization in Social Media Text? - Lucas Raniére Juvino Santos; Leandro Balby Marinho; Cláudio Elízio Calazans Campelo; Filippo Menczer; Alessandro Flammini (WebSci, 2025)

A large scale benchmark for session-based recommendations on the legal domain. - Marcos Aurélio Domingues; Edleno Silva de Moura; Leandro Balby Marinho; Altigran S. da Silva (Artif. Intell. Law, 2025)