Leandro Balby Marinho

Orcid: 0000-0001-7599-372X

According to our database1, Leandro Balby Marinho authored at least 60 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step.
Data Knowl. Eng., May, 2023

Evaluating Pre-training Strategies for Collaborative Filtering.
Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Leveraging Large Language Models for Recommendation and Explanation.
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Leveraging Large Language Models for Goal-driven Interactive Recommendations.
Proceedings of the International Conference on Human-Agent Interaction, 2023

2022
Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil.
Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021
Assessing Media Bias in Cross-Linguistic and Cross-National Populations.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020
Evaluating Edge-Cloud Computing Trade-Offs for Mobile Object Detection and Classification with Deep Learning.
J. Inf. Data Manag., 2020

A New Approach for Measuring Subjectivity in Brazilian News.
J. Inf. Data Manag., 2020

Analysis of the Subjectivity Level in Fake News Fragments.
Proceedings of the WebMedia '20: Brazillian Symposium on Multimedia and the Web, São Luís, Brazil, November 30, 2020

Evaluating the Emergence of Winning Tickets by Structured Pruning of Convolutional Networks.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

Computing with Subjectivity Lexicons.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Towards explaining recommendations through local surrogate models.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Feature Evaluation for Project Preferences Representation in GitHub.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Fake News Classification Based on Subjective Language.
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

Media Bias Characterization in Brazilian Presidential Elections.
Proceedings of the 30th ACM Conference on Hypertext and Social Media, 2019

2018
Investigating the utility of the weather context for point of interest recommendations.
J. Inf. Technol. Tour., 2018

Using Online Economic News to Predict Trends in Brazilian Stock Market Sectors.
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

Healthy Menus Recommendation: Optimizing the Use of the Pantry.
Proceedings of the 3rd International Workshop on Health Recommender Systems, 2018

Fairness and Transparency of Machine Learning for Trustworthy Cloud Services.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

2017
Profiling Successful Team Behaviors in League of Legends.
Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 2017

Exploiting photo location and direction for clustering-based points-of-interest discovery.
Proceedings of the Symposium on Applied Computing, 2017

A Multiobjective Music Recommendation Approach for Aspect-Based Diversification.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016
Exploiting Academic Records for Predicting Student Drop Out: a case study in Brazilian higher education.
J. Inf. Data Manag., 2016

Editorial.
J. Inf. Data Manag., 2016

A Content-Based Approach for Recommending UML Sequence Diagrams.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

Understanding the Impact of Weather for POI Recommendations.
Proceedings of the Workshop on Recommenders in Tourism co-located with 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

2015
Report on the SIGIR 2015 Workshop on Social Personalization and Search.
SIGIR Forum, 2015

Um Jogo Didático para Detecção de Problemas de Qualidade de Dados em Bancos de Dados Relacionais.
Revista Brasileira de Informática na Educ., 2015

SPS'15: 2015 International Workshop on Social Personalization & Search.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

A supervised learning approach to detect subsumption relations between tags in folksonomies.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

An approach for building lexical-semantic resources based on heterogeneous information sources.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Are Real-World Place Recommender Algorithms Useful in Virtual World Environments?
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Context-Aware Event Recommendation in Event-based Social Networks.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
DYSCS: A platform to build geographically and semantically enhanced social content sites.
J. Syst. Softw., 2014

Predicting the Learning Rate of Gradient Descent for Accelerating Matrix Factorization.
J. Inf. Data Manag., 2014

Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace.
CoRR, 2014

A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN.
Proceedings of the 9th Latin American Web Congress, 2014

Event Recommendation in Event-based Social Networks.
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014

2013
Early Classification: A New Heuristic to Improve the Classification Step of K-Means.
J. Inf. Data Manag., 2013

Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

Exploring the Relation Between Novelty Aspects and Preferences in Music Listening.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

On Building Semantically Enhanced Location-Based Social Networks.
Proceedings of the XIV Brazilian Symposium on Geoinformatics, 2013

2012
Extracting Geospatial Preferences Using Relational Neighbors.
J. Inf. Data Manag., 2012

Improving location recommendations with temporal pattern extraction.
Proceedings of the Brazilian Symposium on Multimedia and the Web, 2012

Compass clustering: a new clustering method for detection of points of interest using personal collections of georeferenced and oriented photographs.
Proceedings of the Brazilian Symposium on Multimedia and the Web, 2012

Construção de Mapa de Tópicos Semânticos Baseado na Integração de Fontes Heterogêneas.
Proceedings of the XXVII Simpósio Brasileiro de Banco de Dados, 2012

Recommender Systems for Social Tagging Systems.
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-1894-8, 2012

2011
Social Tagging Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2011

2010
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

2009
Relational Classification for Personalized Tag Recommendation.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Learning optimal ranking with tensor factorization for tag recommendation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Cross-tagging for personalized open social networking.
Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

2008
Tag recommendations in social bookmarking systems.
AI Commun., 2008

Folksonomy-Based Collabulary Learning.
Proceedings of the Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008

Tag-aware recommender systems by fusion of collaborative filtering algorithms.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007
A domain model of Web recommender systems based on usage mining and collaborative filtering.
Requir. Eng., 2007

Tag Recommendations in Folksonomies.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Collaborative Tag Recommendations.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2005
A system of agent-based software patterns for user modeling based on usage mining.
Interact. Comput., 2005


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