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_data/publications.yml

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authors: T Achakulvisut, DE Acuna, T Ruangrong, K Kording
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journal: PloS one 11 (7), e0158423
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url: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0158423
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github: https://github.com/titipata/science_concierge
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year: 2016
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- title: "Intellectual synthesis in mentorship determines success in academic careers"
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authors: JF Liénard, T Achakulvisut, DE Acuna, SV David
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authors: T Achakulvisut, C Bhagavatula, D Acuna, K Kording
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journal: arXiv preprint arXiv:1907.00962
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url: https://arxiv.org/pdf/1907.00962.pdf
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github: https://github.com/titipata/detecting-scientific-claim
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year: 2019
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- title: "Point of view: Improving on legacy conferences by moving online"
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authors: Titipat Achakulvisut, Tulakan Ruangrong, Isil Bilgin, Sofie Van Den Bossche, Brad Wyble, Dan FM Goodman, Konrad P Kording
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authors: M Jas, T Achakulvisut, A Idrizović, D Acuna, M Antalek, V Marques, ...
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journal: Journal of Open Source Software 5 (47)
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url: https://biblio.ugent.be/publication/8650816/file/8650817
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github: https://github.com/glm-tools/pyglmnet
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year: 2020
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- title: "neuromatch: Algorithms to match scientists"
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authors: T Achakulvisut, T Ruangrong, DE Acuna, B Wyble, D Goodman, K Kording
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journal: eLife
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url: https://elifesciences.org/labs/5ed408f4/neuromatch-algorithms-to-match-scientists
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github: https://github.com/titipata/paper-reviewer-matcher
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year: 2020
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- title: "Pubmed parser: a Python parser for PubMed Open-Access XML subset and MEDLINE XML dataset XML dataset"
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authors: T Achakulvisut, DE Acuna, K Kording
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journal: Journal of Open Source Software 5 (46), 1979
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url: https://joss.theoj.org/papers/10.21105/joss.01979.pdf
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github: https://github.com/titipata/pubmed_parser
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year: 2020
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- title: "Neuromatch Academy: Teaching Computational Neuroscience with global accessibility"
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authors: T van Viegen, A Akrami, K Bonnen, E DeWitt, A Hyafil, H Ledmyr, ...
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journal: 2021 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
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year: 2021
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url: https://ieeexplore.ieee.org/document/9678620
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github: https://github.com/ai-builders
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pdf: /assets/publications/aibuilders-tale2021.pdf
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- title: "Multitask learning via pseudo-label generation and ensemble prediction for parasitic egg cell detection: IEEE ICIP Challenge 2022"
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authors: Aung ZH, Srithaworn K, Achakulvisut T

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