{"id":50306875,"url":"https://github.com/cissagatto/hpml","last_synced_at":"2026-05-28T17:01:58.011Z","repository":{"id":137457294,"uuid":"568379765","full_name":"cissagatto/HPML","owner":"cissagatto","description":"This repository hold all experiments conducted during my PhD (2019-2023). HPML means \"Hybrid Partitions for Multi-Label Classification\". 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PtBr\n\nb) [Download Presentation](https://pt.slideshare.net/elainececiliagatto/explorando-correlaes-entre-rtulos-para-o-particionamento-do-espao-de-rtulos-na-classificao-multirrtulo) - PtBr\n\nc) [Video on Youtube](https://youtu.be/ZTxZRjygbDA?list=PLq0DmQNDtJcQSpG7y3jyAagmG83UQMhOL) - PtBr\n\n*- Defense*\n\na) [Download Manuscript](https://repositorio.ufscar.br/handle/ufscar/19284) - PtBr\n\nb) [Download Presentation](https://pt.slideshare.net/slideshows/alm-do-aprendizado-local-e-global-particionando-o-espao-de-classes-em-problemas-de-classificao-multirrtulo/266728407) - PtBr\n\nc) [Video on Youtube](https://www.youtube.com/watch?v=IA_RJOLgdYw) - PtBr\n\n## PUBLISHED PAPERS\n\n*Knowledge and Information Systems  Journal 2024*\n- Title: Multi-label classification with label clusters\n- [Download paper](https://link.springer.com/article/10.1007/s10115-024-02270-9) - EnUs\n\n*BRACIS 2023*\n- Title: Community Detection for Multilabel Classification\n- [Download paper](https://link.springer.com/chapter/10.1007/978-3-031-45368-7_6) - EnUs\n- [Download presentation](https://pt.slideshare.net/elainececiliagatto/community-detection-method-for-multilabel-classification) - EnUs\n- [Video on Youtube](https://www.youtube.com/watch?v=ymC1dRqoQVc) - EnUs\n\n*IJCNN 2021*\n- Title: Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification\n- [Download paper](https://ieeexplore.ieee.org/document/9533331) - EnUs\n- [Download presentation](https://pt.slideshare.net/elainececiliagatto/exploring-label-correlations-for-partitioning-the-label-space-in-multi-label-classification) - EnUs\n- [Video on Youtube](https://www.youtube.com/watch?v=EvBmTEjj3C8) - EnUs\n\n*EPPC 2020*\n- Title: Exploring Label Correlations for Partitioning the Label Space in Multi-label Classification\n- [Download paper]() - PtBr\n- [Download presentation](https://pt.slideshare.net/slideshows/apresentao-da-minha-tese-de-doutorado-no-eppc/266728324) - PtBr\n- [Video on Youtube](https://www.youtube.com/watch?v=kSm91Qbmnu4\u0026t=3s) - PtBr\n\n\n## SUBMITTED PAPERS\n\n\n## ONGOING PAPERS\n\n- Elaine Cecília Gatto, Felipe Kenji Nakano, Jesse Read, Mauri Ferrandin, Ricardo Cerri and Celine Vens. Label Cluster Chains for Multi-Label Classification.\n- Elaine Cecília Gatto, Alan Demétrius Baria Valejo, Mauri Ferrandin, Ricardo Cerri. Community Detection for Multi-Label Classification. Applied Soft Computing. Extended Paper from BRACIS.\n\n## PAPERS REPOSITORIES\n\n[Experiment 1: HPML.A.c / IJCNN-2021](https://github.com/cissagatto/HPML-J)\n\n[Experiment 2: EXAUSTIVE-ORACLE / JOURNAL-KAIS-2024](https://github.com/cissagatto/HPML-KAIS)\n\n[Experiment 3: COMMUNITIES / BRACIS-2023](https://github.com/cissagatto/Bracis2023)\n\n[Experiment 3: COMMUNITIES / JOURNAL-ASOC-2024](https://github.com/cissagatto/CDMLC-ASOC)\n\n[Experiment 4: CHAINS / JOURNAL-?-?](https://github.com/cissagatto/HPML-Chains)\n\n\n## ALL RESULTS FOR ALL EXPERIMENTS\n\n[Experiment 1: HPML.A.c](https://drive.google.com/drive/folders/16gpU5j9PXo4THLqU0Bq_lNI6r786owYh?usp=sharing)\n\n[Experiment 2: Exhaustive-Oracle](https://drive.google.com/drive/folders/1LkZ_AjZ1DYggxti-rc9tc_hGlOPBzLMq?usp=sharing)\n\n[Experiment 3: Communities](https://drive.google.com/drive/folders/1qC-L_Rp1q9zA2bMb0lf-UBoLv1SOaLGi?usp=sharing)\n\n[Experiment 4: Chains](https://drive.google.com/drive/folders/1iKSy511UAPkG0hNi9Npf8TER-w5rO4I3?usp=sharing)\n\n\n\n## PLOT HYBRID PARTITIONS\n\nA code to plot the hybrid partitions. You can use this code to plot any label partition. It is very useful to visualize the label clusters, which differ from the instance clusters. [Plot HPML](https://github.com/cissagatto/Plot_HPML)\n\n## Acknowledgment\n- This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.\n- This study was financed in part by the Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brasil (CNPQ) - Process number 200371/2022-3.\n- Research Fund Flanders (through research projects 1235924N to FKN and CV) and the Flemish AI Research Program.\n- The authors also thank the Brazilian research agencies FAPESP financial support.\n\n# Contact\nelainececiliagatto@gmail.com\n\n## Links\n\n| [Site](https://sites.google.com/view/professor-cissa-gatto) | [Post-Graduate Program in Computer Science](http://ppgcc.dc.ufscar.br/pt-br) | [Computer Department](https://site.dc.ufscar.br/) |  [Biomal](http://www.biomal.ufscar.br/) | [CNPQ](https://www.gov.br/cnpq/pt-br) | [Ku Leuven](https://kulak.kuleuven.be/) | [Embarcados](https://www.embarcados.com.br/author/cissa/) | [Read Prensa](https://prensa.li/@cissa.gatto/) | [Linkedin Company](https://www.linkedin.com/company/27241216) | [Linkedin Profile](https://www.linkedin.com/in/elainececiliagatto/) | [Instagram](https://www.instagram.com/cissagatto) | [Facebook](https://www.facebook.com/cissagatto) | [Twitter](https://twitter.com/cissagatto) | [Twitch](https://www.twitch.tv/cissagatto) | [Youtube](https://www.youtube.com/CissaGatto) |\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcissagatto%2Fhpml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcissagatto%2Fhpml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcissagatto%2Fhpml/lists"}