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Marcos Aurélio Domingues
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2020 – today
- 2023
- [c33]Matheus H. C. Leme
, Vinicius S. Simm
Stingless Bee Classification: A New Dataset and Baseline Results. CIARP 2023: 730-744 - 2022
- [j12]Igor André Pegoraro Santana, Marcos Aurélio Domingues:
Context-Aware Music Recommendation with Metadata Awareness and Recurrent Neural Networks. Comput. Informatics 41(3): 834-860 (2022) - [c32]Rodrigo Mansueli Nunes, Marcos Aurélio Domingues, Valéria Delisandra Feltrim:
Improving Multilabel Text Classification with Stacking and Recurrent Neural Networks. WebMedia 2022: 117-122 - 2020
- [j11]Camila Vaccari Sundermann
A context-aware recommender method based on text and opinion mining. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [c31]Juliano Donini da Silva, Yandre Maldonado e Gomes da Costa, Marcos Aurélio Domingues:
Improving Musical Tag Annotation with Stacking and Convolutional Neural Networks. IWSSIP 2020: 393-398 - [c30]Igor André Pegoraro Santana, Fabio Pinhelli, Juliano Donini, Leonardo Gabiato Catharin, Rafael Biazus Mangolin, Yandre Maldonado e Gomes da Costa, Valéria Delisandra Feltrim, Marcos Aurélio Domingues:
Music4All: A New Music Database and Its Applications. IWSSIP 2020: 399-404 - [c29]Igor André Pegoraro Santana, Marcos Aurélio Domingues:
Improving Context-Aware Music Recommender Systems with a Dual Recurrent Neural Network. SIMBig 2020: 304-314 - [i4]Igor André Pegoraro Santana, Marcos Aurélio Domingues:
A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings. CoRR abs/2007.04782 (2020)
2010 – 2019
- 2019
- [j10]Camila Vaccari Sundermann
Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review. Inf. 10(2): 42 (2019) - [c28]Camila Vaccari Sundermann, Renan de Pádua, Vítor Rodrigues Tonon, Marcos Aurélio Domingues
A Context-Aware Recommender Method Based on Text Mining. EPIA (2) 2019: 385-396 - [c27]Giuseppe Portolese, Marcos Aurélio Domingues
Exploring Textual Features for Multi-label Classification of Portuguese Film Synopses. EPIA (2) 2019: 669-681 - [c26]Rodrigo Mansueli Nunes, Marcos Aurélio Domingues
Exploring Multi-label Stacking in Natural Language Processing. EPIA (2) 2019: 708-718 - 2018
- [j9]Fabiano Fernandes dos Santos, Marcos Aurélio Domingues
Latent association rule cluster based model to extract topics for classification and recommendation applications. Expert Syst. Appl. 112: 34-60 (2018) - [c25]Camila Vaccari Sundermann, João Antunes, Marcos Aurélio Domingues
Exploration of Word Embedding Model to Improve Context-Aware Recommender Systems. WI 2018: 383-388 - [c24]Igor André Santana, Abner Suniga, Juliano Donini, Camila Vaccari Sundermann, Solange Oliveira Rezende
Transforming Geo-Referenced Data in Contextual Information for Context-Aware Recommender Systems. WI 2018: 528-533 - 2017
- [j8]Rafael Martins D'Addio, Marcos Aurélio Domingues
Exploiting feature extraction techniques on users' reviews for movies recommendation. J. Braz. Comput. Soc. 23(1): 7:1-7:16 (2017) - [c23]Marcos Aurélio Domingues
Exploiting geo-referenced data as contextual information into context-aware recommender systems. SCCC 2017: 1-7 - 2016
- [j7]Camila Vaccari Sundermann
Privileged contextual information for context-aware recommender systems. Expert Syst. Appl. 57: 139-158 (2016) - [j6]Marcelo G. Manzato, Marcos Aurélio Domingues
Mining unstructured content for recommender systems: an ensemble approach. Inf. Retr. J. 19(4): 378-415 (2016) - [c22]Alípio M. Jorge
Scalable Online Top-N Recommender Systems. EC-Web 2016: 3-20 - 2015
- [c21]Marcos Aurélio Domingues
Applying multi-view based metadata in personalized ranking for recommender systems. SAC 2015: 1105-1107 - [c20]Marcos Aurélio Domingues
A Platform for the Recommendation of Points of Interest in Brazilian Cities: Architecture and Case Study. WebMedia 2015: 229-236 - [i3]Camila Vaccari Sundermann, Marcos Aurélio Domingues
Combining Privileged Information to Improve Context-Aware Recommender Systems. CoRR abs/1511.02290 (2015) - 2014
- [j5]Marcos Aurélio Domingues
A data warehouse to support web site automation. J. Braz. Comput. Soc. 20(1): 11:1-11:16 (2014) - [c19]Camila Vaccari Sundermann
Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems. BRACIS 2014: 61-66 - [c18]Marcos Aurélio Domingues
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. ICPR 2014: 3606-3611 - [c17]Ricardo Marcondes Marcacini
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach. ICPR 2014: 3636-3641 - [c16]Marcelo Garcia Manzato, Marcos Aurélio Domingues
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. ICPR 2014: 3696-3701 - [c15]Roberta Akemi Sinoara
Named entities as privileged information for hierarchical text clustering. IDEAS 2014: 57-66 - [c14]Marcelo G. Manzato, Marcos Aurélio Domingues
Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness. WI-IAT (2) 2014: 191-197 - [c13]Arthur F. Da Costa, Marcos Aurélio Domingues
Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. WI-IAT (2) 2014: 198-204 - [c12]Marcos Aurélio Domingues
Exploiting Text Mining Techniques for Contextual Recommendations. WI-IAT (1) 2014: 210-217 - 2013
- [j4]Marcos Aurélio Domingues
Combining usage and content in an online recommendation system for music in the Long Tail. Int. J. Multim. Inf. Retr. 2(1): 3-13 (2013) - [j3]Marcos Aurélio Domingues
Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems. Inf. Process. Manag. 49(3): 698-720 (2013) - [j2]Marcos Aurélio Domingues
Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals. Inf. Syst. E Bus. Manag. 11(4): 569-595 (2013) - [c11]Marcos Aurélio Domingues
The Impact of Context-Aware Recommender Systems on Music in the Long Tail. BRACIS 2013: 119-124 - [c10]Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende:
Improving consensus clustering of texts using interactive feature selection. WWW (Companion Volume) 2013: 237-238 - 2012
- [c9]Marcos Aurélio Domingues
Combining usage and content in an online music recommendation system for music in the long-tail. WWW (Companion Volume) 2012: 925-930 - 2011
- [j1]Marcos Aurélio Domingues
Exploiting multidimensional data for web site automation. AI Commun. 24(3): 289-290 (2011) - [c8]Gonçalo Marques, Marcos Aurélio Domingues, Thibault Langlois, Fabien Gouyon:
Three Current Issues In Music Autotagging. ISMIR 2011: 795-800 - [c7]Marcos Aurélio Domingues
Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems. Web Intelligence 2011: 92-95 - [i2]Marcos Aurélio Domingues
Using Contextual Information as Virtual Items on Top-N Recommender Systems. CoRR abs/1111.2948 (2011) - [i1]Marcos Aurélio Domingues
Using Taxonomies to Facilitate the Analysis of the Association Rules. CoRR abs/1112.1734 (2011)
2000 – 2009
- 2008
- [c6]Marcos Aurélio Domingues
An independent platform for the monitoring, analysis and adaptation of web sites. RecSys 2008: 299-302 - [c5]Marcos Aurélio Domingues
The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization. Web Intelligence 2008: 789-792 - 2007
- [c4]Ana Paula Tomás
A Web Application for Mathematics Education. ICWL 2007: 380-391 - [c3]José Paulo Leal
Rapid Development of Web Interfaces to Heterogeneous Systems. SOFSEM (1) 2007: 716-725 - 2006
- [c2]Marcos Aurélio Domingues
A Web-Based System to Monitor the Quality of Meta-Data in Web Portals. IAT Workshops 2006: 188-191 - 2005
- [c1]Carlos Soares
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining. EPIA 2005: 371-382
Coauthor Index
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