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Leandro Balby Marinho
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2020 – today
- 2024
- [c47]Itallo Silva
, Leandro Balby Marinho
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems. IUI 2024: 597-608 - [c46]Eduardo Alves da Silva
A Tool for Explainable Pension Fund Recommendations using Large Language Models. RecSys 2024: 1184-1186 - 2023
- [j15]Thiago Pereira da Nóbrega, Carlos Eduardo S. Pires, Dimas Cassimiro do Nascimento, Leandro Balby Marinho
Towards automatic Privacy-Preserving Record Linkage: A Transfer Learning based classification step. Data Knowl. Eng. 145: 102180 (2023) - [c45]Alan Said
Leveraging Large Language Models for Goal-driven Interactive Recommendations. HAI 2023: 464-466 - [c44]Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn C. Willemsen:
Leveraging Large Language Models for Recommendation and Explanation. IntRS@RecSys 2023: 74-81 - [c43]Júlio B. G. Costa
Evaluating Pre-training Strategies for Collaborative Filtering. UMAP 2023: 175-182 - 2022
- [c42]Leandro Balby Marinho
Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings. IUI 2022: 782-793 - [c41]Lucas Raniére Juvino Santos
Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil. WebMedia 2022: 99-107 - 2021
- [c40]Allan Sales, Albin Zehe, Leandro Balby Marinho, Adriano Veloso, Andreas Hotho, Janna Omeliyanenko:
Assessing Media Bias in Cross-Linguistic and Cross-National Populations. ICWSM 2021: 561-572 - 2020
- [j14]Diogo Florêncio de Lima, Allan Sales da Costa Melo, D. L. Carvalho, Leandro Balby Marinho:
A New Approach for Measuring Subjectivity in Brazilian News. J. Inf. Data Manag. 11(1) (2020) - [j13]Whendell F. Magalhães, Mainara Farias, Leandro Balby Marinho, Herman Martins Gomes, Glaucimar Aguiar, Plínio Silveira:
Evaluating Edge-Cloud Computing Trade-Offs for Mobile Object Detection and Classification with Deep Learning. J. Inf. Data Manag. 11(1) (2020) - [c39]Caio Libânio Melo Jerônimo, Cláudio Elízio Calazans Campelo, Leandro Balby Marinho, Allan Sales da Costa Melo, Adriano Veloso, Roberta Viola:
Computing with Subjectivity Lexicons. LREC 2020: 3272-3280 - [c38]Whendell F. Magalhães, Jeferson Ferreira, Herman Martins Gomes, Leandro Balby Marinho
Evaluating the Emergence of Winning Tickets by Structured Pruning of Convolutional Networks. SIBGRAPI 2020: 272-279 - [c37]Lucas Lima Vieira
Analysis of the Subjectivity Level in Fake News Fragments. WebMedia 2020: 233-240 - [e2]Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen, Kim Falk, Noam Koenigstein, Edleno Silva de Moura:
RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020. ACM 2020, ISBN 978-1-4503-7583-2 [contents]
2010 – 2019
- 2019
- [c36]Allan Sales da Costa Melo, Leandro Balby Marinho, Adriano Alonso Veloso:
Media Bias Characterization in Brazilian Presidential Elections. SIdEWayS@HT 2019: 5-6 - [c35]Allan Sales, Leandro Balby
Media Bias Characterization in Brazilian Presidential Elections. HT 2019: 231-240 - [c34]Caio Libânio Melo Jerônimo, Leandro Balby Marinho
Fake News Classification Based on Subjective Language. iiWAS 2019: 15-24 - [c33]Thaciana G. O. Cerqueira, Leandro Balby Marinho, Franklin Ramalho:
Feature Evaluation for Project Preferences Representation in GitHub. MLDM (2) 2019: 655-668 - [c32]Caio Nóbrega, Leandro Balby Marinho
Towards explaining recommendations through local surrogate models. SAC 2019: 1671-1678 - 2018
- [j12]Christoph Trattner
Investigating the utility of the weather context for point of interest recommendations. J. Inf. Technol. Tour. 19(1-4): 117-150 (2018) - [c31]Nuno Antunes
Fairness and Transparency of Machine Learning for Trustworthy Cloud Services. DSN Workshops 2018: 188-193 - [c30]Jefferson Emanuel Caldeira Da Silva, Ricardo S. Oliveira, Leandro Balby Marinho, Christoph Trattner:
Healthy Menus Recommendation: Optimizing the Use of the Pantry. HealthRecSys@RecSys 2018: 2-7 - [c29]José Gildo de Araújo Júnior, Leandro Balby Marinho:
Using Online Economic News to Predict Trends in Brazilian Stock Market Sectors. WebMedia 2018: 37-44 - 2017
- [c28]Ricardo S. Oliveira, Caio Nóbrega, Leandro Balby Marinho, Nazareno Andrade:
A Multiobjective Music Recommendation Approach for Aspect-Based Diversification. ISMIR 2017: 414-420 - [c27]Yuri Almeida Lacerda
Exploiting photo location and direction for clustering-based points-of-interest discovery. SAC 2017: 907-912 - [c26]Fernando Felix do Nascimento Junior, Allan Sales da Costa Melo, Igor Barbosa da Costa, Leandro Balby Marinho
Profiling Successful Team Behaviors in League of Legends. WebMedia 2017: 261-268 - 2016
- [j11]Caetano Traina Júnior, Robson L. F. Cordeiro, Leandro Balby Marinho:
Editorial. J. Inf. Data Manag. 7(2): 68-69 (2016) - [j10]Allan Sales, Leandro Balby, Adalberto Cajueiro:
Exploiting Academic Records for Predicting Student Drop Out: a case study in Brazilian higher education. J. Inf. Data Manag. 7(2): 166-180 (2016) - [c25]Christoph Trattner, Alexander Oberegger, Lukas Eberhard, Denis Parra, Leandro Balby Marinho:
Understanding the Impact of Weather for POI Recommendations. RecTour@RecSys 2016: 16-23 - [c24]Thaciana G. O. Cerqueira, Franklin Ramalho, Leandro Balby Marinho
A Content-Based Approach for Recommending UML Sequence Diagrams. SEKE 2016: 644-649 - 2015
- [j9]Carlos Eduardo S. Pires, Andreza Raquel Monteiro de Queiroz, Dandara Dantas Navarro, Leandro Balby Marinho, Vládia Freire Pires:
Um Jogo Didático para Detecção de Problemas de Qualidade de Dados em Bancos de Dados Relacionais. Revista Brasileira de Informática na Educ. 23(3): 98-112 (2015) - [j8]Christoph Trattner, Denis Parra, Peter Brusilovsky
Report on the SIGIR 2015 Workshop on Social Personalization and Search. SIGIR Forum 49(2): 102-106 (2015) - [c23]Augusto Q. de Macedo, Leandro Balby Marinho
Context-Aware Event Recommendation in Event-based Social Networks. RecSys 2015: 123-130 - [c22]Leandro Balby Marinho
Are Real-World Place Recommender Algorithms Useful in Virtual World Environments? RecSys 2015: 245-248 - [c21]José Gildo de Araújo Júnior, Ulrich Schiel, Leandro Balby Marinho
An approach for building lexical-semantic resources based on heterogeneous information sources. SAC 2015: 402-408 - [c20]Alex Sandro da Cunha Rego, Leandro Balby Marinho
A supervised learning approach to detect subsumption relations between tags in folksonomies. SAC 2015: 409-415 - [c19]Christoph Trattner
SPS'15: 2015 International Workshop on Social Personalization & Search. SIGIR 2015: 1155 - [e1]Christoph Trattner, Denis Parra, Peter Brusilovsky, Leandro Balby Marinho:
Proceedings of the International Workshop on Social Personalisation & Search, SPS 2015, co-located with the 38th Annual ACM SIGIR Conference (SIGIR 2015), Santiago de Chile, Chile, August 9-13, 2015. CEUR Workshop Proceedings 1421, CEUR-WS.org 2015 [contents] - 2014
- [j7]Caio Nóbrega, Leandro Balby Marinho:
Predicting the Learning Rate of Gradient Descent for Accelerating Matrix Factorization. J. Inf. Data Manag. 5(1): 94-103 (2014) - [j6]Luciana Cavalcante de Menezes, Cláudio de Souza Baptista, Ana Gabrielle Ramos Falcão, Maxwell Guimarães de Oliveira, Leandro Balby Marinho
DYSCS: A platform to build geographically and semantically enhanced social content sites. J. Syst. Softw. 94: 39-49 (2014) - [c18]Augusto Q. de Macedo, Leandro Balby Marinho:
Event Recommendation in Event-based Social Networks. HT (Doctoral Consortium / Late-breaking Results / Workshops) 2014 - [c17]Iury Nunes, Leandro Balby Marinho
A Personalized Geographic-Based Diffusion Model for Location Recommendations in LBSN. LA-WEB 2014: 59-67 - [i2]Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho:
Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace. CoRR abs/1405.1837 (2014) - 2013
- [j5]Joaquín Pérez Ortega, Carlos Eduardo Santos Pires, Leandro Balby Marinho, Adriana Mexicano, Miguel Angel Hidalgo:
Early Classification: A New Heuristic to Improve the Classification Step of K-Means. J. Inf. Data Manag. 4(2): 94-103 (2013) - [c16]Cláudio de Souza Baptista, Luciana Cavalcante de Menezes, Maxwell Guimarães de Oliveira, Ana Gabrielle Ramos Falcão, Leandro Balby Marinho:
On Building Semantically Enhanced Location-Based Social Networks. GEOINFO 2013: 19-30 - [c15]Andryw Marques Ramos, Nazareno Andrade, Leandro Balby Marinho:
Exploring the Relation Between Novelty Aspects and Preferences in Music Listening. ISMIR 2013: 407-412 - [c14]Emanuel Lacic
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces. MSM/MUSE 2013: 96-115 - 2012
- [b1]Leandro Balby Marinho, Andreas Hotho, Robert Jäschke
Recommender Systems for Social Tagging Systems. Springer Briefs in Electrical and Computer Engineering, Springer 2012, ISBN 978-1-4614-1893-1, pp. i-ix, 1-111 - [j4]Leandro Balby Marinho, Thomas Sandholm, Cláudio de Souza Baptista, Iury Nunes, Caio Nóbrega, Jordão Araújo:
Extracting Geospatial Preferences Using Relational Neighbors. J. Inf. Data Manag. 3(3): 364-377 (2012) - [c13]José Gildo de Araújo Júnior, Ulrich Schiel, Leandro Balby Marinho:
Construção de Mapa de Tópicos Semânticos Baseado na Integração de Fontes Heterogêneas. SBBD (Short Papers) 2012: 137-144 - [c12]Joaquín Pérez Ortega, Carlos Eduardo S. Pires, Leandro Balby Marinho, Adriana Mexicano, Miguel Angel Hidalgo:
Early Classification: A New Heuristic to Improve the Classification Step of K-Means. SBBD (Short Papers) 2012: 185-192 - [c11]Yuri Almeida Lacerda
Compass clustering: a new clustering method for detection of points of interest using personal collections of georeferenced and oriented photographs. WebMedia 2012: 281-288 - [c10]Leandro Balby Marinho
Improving location recommendations with temporal pattern extraction. WebMedia 2012: 293-296 - [i1]Leandro Balby Marinho, Cláudio de Souza Baptista, Thomas Sandholm, Iury Nunes, Caio Nóbrega, Jordão Araújo:
Extracting Geospatial Preferences Using Relational Neighbors. CoRR abs/1204.1528 (2012) - 2011
- [p1]Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke
Social Tagging Recommender Systems. Recommender Systems Handbook 2011: 615-644 - 2010
- [c9]Christine Preisach, Leandro Balby Marinho
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems. PAKDD (1) 2010: 348-357
2000 – 2009
- 2009
- [c8]Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl
Cross-tagging for personalized open social networking. Hypertext 2009: 271-278 - [c7]Steffen Rendle, Leandro Balby Marinho
Learning optimal ranking with tensor factorization for tag recommendation. KDD 2009: 727-736 - [c6]Leandro Balby Marinho, Christine Preisach, Lars Schmidt-Thieme:
Relational Classification for Personalized Tag Recommendation. DC@PKDD/ECML 2009 - 2008
- [j3]Robert Jäschke
Tag recommendations in social bookmarking systems. AI Commun. 21(4): 231-247 (2008) - [c5]Karen H. L. Tso-Sutter, Leandro Balby Marinho
Tag-aware recommender systems by fusion of collaborative filtering algorithms. SAC 2008: 1995-1999 - [c4]Leandro Balby Marinho, Krisztián Búza, Lars Schmidt-Thieme:
Folksonomy-Based Collabulary Learning. ISWC 2008: 261-276 - 2007
- [j2]Rosario Girardi, Leandro Balby Marinho
A domain model of Web recommender systems based on usage mining and collaborative filtering. Requir. Eng. 12(1): 23-40 (2007) - [c3]Leandro Balby Marinho
Collaborative Tag Recommendations. GfKl 2007: 533-540 - [c2]Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme:
Tag Recommendations in Folksonomies. LWA 2007: 13-20 - [c1]Robert Jäschke
Tag Recommendations in Folksonomies. PKDD 2007: 506-514 - 2005
- [j1]Rosario Girardi, Leandro Balby Marinho
A system of agent-based software patterns for user modeling based on usage mining. Interact. Comput. 17(5): 567-591 (2005)
Coauthor Index
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last updated on 2024-10-23 21:22 CEST by the dblp team
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