Answer Keyword Generation for Community Question Answering by Multiaspect Gamma–Poisson Matrix Completion

Autor: Qing Liu, Trong Dinh Thac Do, Longbing Cao

Publikováno v: IEEE Intelligent Systems. 36:35-47

Community question answering (CQA) recommends appropriate answers to existing and new questions. Such answer recommendation is challenging since CQA data are often sparse and decentralized, and lacks sufficient information to generate suitable answer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3a2b1b05e42c91c88c50619c3203190
https://doi.org/10.1109/mis.2020.2997714

Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation

Autor: Longbing Cao, Trong Dinh Thac Do

Publikováno v: IJCAI

Matrix Factorization (MF) is widely used in Recommender Systems (RSs) for estimating missing ratings in the rating matrix. MF faces major challenges of handling very sparse and large data. Poisson Factorization (PF) as an MF variant addresses these c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c7763f662ecdcc2c2890c3ea8aa57a89
https://doi.org/10.24963/ijcai.2018/695

Gamma-Poisson dynamic matrix factorization embedded with metadata influence

Autor: Thac Do, TD, Cao, L

© 2018 Curran Associates Inc.All rights reserved. A conjugate Gamma-Poisson model for Dynamic Matrix Factorization incorporated with metadata influence (mGDMF for short) is proposed to effectively and efficiently model massive, sparse and dynamic da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::9b193f6ed4887904c602a888e4c096e4
https://hdl.handle.net/10453/128940

PlantFuncSSR: Integrating First and Next Generation Transcriptomics for Mining of SSR-Functional Domains Markers

Autor: Antonio Muñoz-Mérida, Andrea Squartini, Gaurav Sablok, Carlos S. Casimiro-Soriguer, Antonio J. Pérez-Pulido, Tan Y. Seong, Nicola La Porta, Jennifer Ann Harikrishna, Thac Do, Peter J. Ralph

Publikováno v: Frontiers in Plant Science
Frontiers in plant science 7 (2016): Article 878. doi:10.3389/fpls.2016.00878
info:cnr-pdr/source/autori:Sablok G.; Perez-Pulido A.J.; Do T.; Seong T.Y.; Casimiro-Soriguer C.S.; La Porta N.; Ralph P.J.; Squartini A.; Munoz-Merida A.; Harikrishna J.A./titolo:PlantFuncSSR: Integrating first and next generation transcriptomics for mining of SSR-functional domains markers/doi:10.3389%2Ffpls.2016.00878/rivista:Frontiers in plant science/anno:2016/pagina_da:Article 878/pagina_a:/intervallo_pagine:Article 878/volume:7
Digital.CSIC. Repositorio Institucional del CSIC
instname

et al.
Analysis of repetitive DNA sequence content and divergence among the repetitive functional classes is a well-accepted approach for estimation of inter- and intra-generic differences in plant genomes. Among these elements, microsatellites,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f18f0a9401e985c29d0db2c5f9780f34
https://pubmed.ncbi.nlm.nih.gov/27446111

PGLCM: Efficient Parallel Mining of Closed Frequent Gradual Itemsets

Autor: Alexandre Termier, Anne Laurent, Trong Dinh Thac Do

Publikováno v: International Conference on Data Mining
ICDM: International Conference on Data Mining
ICDM: International Conference on Data Mining, Dec 2010, Sidney, NSW, Australia. pp.138-147, ⟨10.1109/ICDM.2010.101⟩
ICDM

International audience; Numerical data (e.g., DNA micro-array data, sensor data) pose a challenging problem to existing frequent pattern mining methods which hardly handle them. In this framework, gradual patterns have been recently proposed to extra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb126e26dcc9eb8609a0d4bf446e5809
https://hal.archives-ouvertes.fr/hal-00952985/file/hal-00952985v1.pdf