{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:50:59Z","timestamp":1743115859956,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031490101"},{"type":"electronic","value":"9783031490118"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-49011-8_26","type":"book-chapter","created":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T16:03:27Z","timestamp":1702569807000},"page":"325-337","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating the\u00a0Causal Role of\u00a0Environmental Data in\u00a0Shellfish Biotoxin Contamination on\u00a0the\u00a0Portuguese Coast"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2377-8080","authenticated-orcid":false,"given":"Ana Rita","family":"Bai\u00e3o","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7958-850X","authenticated-orcid":false,"given":"Carolina","family":"Peixoto","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4135-1857","authenticated-orcid":false,"given":"Marta B.","family":"Lopes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6083-470X","authenticated-orcid":false,"given":"Pedro Reis","family":"Costa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6607-7711","authenticated-orcid":false,"given":"Alexandra M.","family":"Carvalho","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1954-5487","authenticated-orcid":false,"given":"Susana","family":"Vinga","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,15]]},"reference":[{"issue":"2","key":"26_CR1","doi-asserted-by":"publisher","first-page":"627","DOI":"10.20506\/rst.25.2.1688","volume":"25","author":"S Chinabut","year":"2006","unstructured":"Chinabut, S., Somsiri, T., Limsuwan, C., Lewis, S.: Problems associated with shellfish farming. Rev. Sci. Tech. (Int. Off. Epizoot.) 25(2), 627\u2013635 (2006)","journal-title":"Rev. Sci. Tech. (Int. Off. Epizoot.)"},{"key":"26_CR2","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.hal.2016.05.003","volume":"57","author":"LM Grattan","year":"2016","unstructured":"Grattan, L.M., Holobaugh, S., Morris, J.G., Jr.: Harmful algal blooms and public health. Harmful Algae 57, 2\u20138 (2016)","journal-title":"Harmful Algae"},{"key":"26_CR3","doi-asserted-by":"publisher","first-page":"1789","DOI":"10.1007\/s13762-018-2108-x","volume":"16","author":"E Zohdi","year":"2019","unstructured":"Zohdi, E., Abbaspour, M.: Harmful algal blooms (red tide): a review of causes, impacts and approaches to monitoring and prediction. Int. J. Environ. Sci. Technol. 16, 1789\u20131806 (2019)","journal-title":"Int. J. Environ. Sci. Technol."},{"key":"26_CR4","first-page":"55","volume":"139","author":"E Commission","year":"2004","unstructured":"Commission, E.: Commission regulation (EC) No 853\/2004 of the European parliament and of the council of 29 April 2004 laying down specific hygiene rules for on the hygiene of foodstuffs. Off. J. Eur. Union L 139, 55\u2013205 (2004)","journal-title":"Off. J. Eur. Union L"},{"issue":"1\u20132","key":"26_CR5","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.ecolmodel.2006.06.017","volume":"200","author":"GC Lui","year":"2007","unstructured":"Lui, G.C., Li, W.K., Leung, K.M., Lee, J.H., Jayawardena, A.W.: Modelling algal blooms using vector autoregressive model with exogenous variables and long memory filter. Ecol. Model. 200(1\u20132), 130\u2013138 (2007)","journal-title":"Ecol. Model."},{"issue":"7","key":"26_CR6","doi-asserted-by":"publisher","first-page":"1322","DOI":"10.3390\/ijerph15071322","volume":"15","author":"S Lee","year":"2018","unstructured":"Lee, S., Lee, D.: Improved prediction of harmful algal blooms in four Major South Korea\u2019s Rivers using deep learning models. Int. J. Environ. Res. Public Health 15(7), 1322 (2018)","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"26_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109895","volume":"257","author":"RC Cruz","year":"2022","unstructured":"Cruz, R.C., Costa, P.R., Krippahl, L., Lopes, M.B.: Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks. Knowl.-Based Syst. 257, 109895 (2022)","journal-title":"Knowl.-Based Syst."},{"issue":"12","key":"26_CR8","doi-asserted-by":"publisher","DOI":"10.1002\/ecs2.2960","volume":"10","author":"I Grasso","year":"2019","unstructured":"Grasso, I., Archer, S.D., Burnell, C., Tupper, B., Rauschenberg, C., Kanwit, K., Record, N.R.: The hunt for red tides: deep learning algorithm forecasts shellfish toxicity at site scales in coastal Maine. Ecosphere 10(12), e02960 (2019)","journal-title":"Ecosphere"},{"key":"26_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.hal.2020.101918","volume":"99","author":"JR Harley","year":"2020","unstructured":"Harley, J.R., Lanphier, K., Kennedy, E., Whitehead, C., Bidlack, A.: Random forest classification to determine environmental drivers and forecast paralytic shellfish toxins in Southeast Alaska with high temporal resolution. Harmful Algae 99, 101918 (2020)","journal-title":"Harmful Algae"},{"key":"26_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.hal.2021.102171","volume":"112","author":"X Wang","year":"2022","unstructured":"Wang, X., Bouzembrak, Y., Marvin, H.J., Clarke, D., Butler, F.: Bayesian Networks modeling of diarrhetic shellfish poisoning in Mytilus edulis harvested in Bantry Bay, Ireland. Harmful algae 112, 102171 (2022)","journal-title":"Harmful algae"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Hyndman, R.J., Athanasopoulos, G.: Forecasting: Principles and Practice, 2nd edn. OTexts: Melbourne, Australia. OTexts.com\/fpp2 (2018)","DOI":"10.32614\/CRAN.package.fpp2"},{"key":"26_CR12","doi-asserted-by":"crossref","unstructured":"Shumway, R.H., Stoffer, D.S., Stoffer, D.S.: Time Series Analysis and Its Applications, vol. 3. Springer, New York (2000)","DOI":"10.1007\/978-1-4757-3261-0"},{"issue":"9\u201310","key":"26_CR13","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.1016\/j.jedc.2005.08.008","volume":"30","author":"C Diks","year":"2006","unstructured":"Diks, C., Panchenko, V.: A new statistic and practical guidelines for nonparametric Granger causality testing. J. Econ. Dyn. Control 30(9\u201310), 1647\u20131669 (2006)","journal-title":"J. Econ. Dyn. Control"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Granger, C.W.: Investigating causal relations by econometric models and cross-spectral methods. Econ.: J. Econ. Soc. 424\u2013438 (1969)","DOI":"10.2307\/1912791"},{"key":"26_CR15","unstructured":"Carvalho, A.M.: Scoring functions for learning Bayesian networks INESC-ID Tecnical Report 54\/2009 Apr 2009 (2009)"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Ben-Gal, I. (2008). Bayesian networks. In: Encyclopedia of Statistics in Quality and Reliability, vol.1","DOI":"10.1002\/9780470061572.eqr089"},{"key":"26_CR17","volume-title":"Dynamic Bayesian Networks: Representation, Inference and Learning","author":"KP Murphy","year":"2002","unstructured":"Murphy, K.P.: Dynamic Bayesian Networks: Representation, Inference and Learning. University of California, Berkeley (2002)"},{"key":"26_CR18","unstructured":"Mihajlovic, V., Petkovic, M.: Dynamic bayesian networks: a state of the art. University of Twente Document Repository (2001)"},{"key":"26_CR19","unstructured":"Monteiro, J.L., Vinga, S., Carvalho, A.M.: Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks. In: UAI, pp. 622\u2013631 (2015)"},{"key":"26_CR20","unstructured":"Candeias, V.: Cloud-based web application for multivariate time series analysis. MSc Thesis, Instituto Superior T\u00e9cnico, Universidade de Lisboa (2021)"},{"issue":"4","key":"26_CR21","doi-asserted-by":"publisher","first-page":"1955","DOI":"10.3390\/app11041955","volume":"11","author":"JL Serras","year":"2021","unstructured":"Serras, J.L., Vinga, S., Carvalho, A.M.: Outlier detection for multivariate time series using dynamic Bayesian networks. Appl. Sci. 11(4), 1955 (2021)","journal-title":"Appl. Sci."},{"issue":"10","key":"26_CR22","doi-asserted-by":"publisher","first-page":"679","DOI":"10.3390\/toxins14100679","volume":"14","author":"A Patr\u00edcio","year":"2022","unstructured":"Patr\u00edcio, A., Lopes, M.B., Costa, P.R., Costa, R.S., Henriques, R., Vinga, S.: Time-lagged correlation analysis of shellfish toxicity reveals predictive links to adjacent areas, species, and environmental conditions. Toxins 14(10), 679 (2022)","journal-title":"Toxins"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-49011-8_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T01:18:34Z","timestamp":1730855914000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-49011-8_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031490101","9783031490118"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-49011-8_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"15 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Faial Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2023.inesctec.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"163","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"85","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"52% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}