{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:31:39Z","timestamp":1725582699578},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T00:00:00Z","timestamp":1722297600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T00:00:00Z","timestamp":1722297600000},"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":["J Intell Inf Syst"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s10844-024-00868-7","type":"journal-article","created":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T11:02:15Z","timestamp":1722337335000},"page":"883-886","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Special issue on intelligent systems"],"prefix":"10.1007","volume":"62","author":[{"given":"Michelangelo","family":"Ceci","sequence":"first","affiliation":[]},{"given":"Sergio","family":"Flesca","sequence":"additional","affiliation":[]},{"given":"Giuseppe","family":"Manco","sequence":"additional","affiliation":[]},{"given":"Elio","family":"Masciari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,30]]},"reference":[{"key":"868_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00828-7","author":"Y Abduallah","year":"2023","unstructured":"Abduallah, Y., Wang, J. T. L., Wang, H., & Jing, J. (2023). A transformer-based framework for predicting geomagnetic indices with uncertainty quantification. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00828-7","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00829-6","author":"F Angiulli","year":"2023","unstructured":"Angiulli, F., Fassetti, F., & Ferragina, L. (2023). Enhancing anomaly detectors with LatentOut. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00829-6","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00819-8","author":"N Cassavia","year":"2023","unstructured":"Cassavia, N., Caviglione, L., Guarascio, M., Liguori, A., & Zuppelli, M. (2023). Learning autoencoder ensembles for detecting malware hidden communications in iot ecosystems. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00819-8","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00837-6","author":"A Cuzzocrea","year":"2023","unstructured":"Cuzzocrea, A., Baldo, A., & Fadda, E. (2023). A bayesian-neural-networks framework for scaling posterior distributions over different-curation datasets. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00837-6","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00832-x","author":"H Del\u00e9glise","year":"2023","unstructured":"Del\u00e9glise, H., B\u00e9gu\u00e9, A., Interdonato, R., Ma\u00eetre d\u2019H\u00f4tel, E., Roche, M., & Teisseire, M. (2023). How can text mining improve the explainability of Food security situations? Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00832-x","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-024-00841-4","author":"F Folino","year":"2024","unstructured":"Folino, F., Folino, G., Guarascio, M., & Pontieri, L. (2024). Data- & compute-efficient deviance mining via active learning and fast ensembles. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-024-00841-4","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00836-7","author":"M Guarascio","year":"2024","unstructured":"Guarascio, M., Minici, M., Pisani, F. S., De Francesco, E., & Lambardi, P. (2024). Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00836-7","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-024-00845-0","author":"M Kastrati","year":"2024","unstructured":"Kastrati, M., Kastrati, Z., Shariq Imran, A., & Biba, M. (2024). Leveraging distant supervision and deep learning for twitter sentiment and emotion classification. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-024-00845-0","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-023-00833-w","author":"S Nistic\u00f2","year":"2023","unstructured":"Nistic\u00f2, S., Palopoli, L., & Romano, A. P. (2023). Audio super-resolution via vision transformer. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-023-00833-w","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-024-00851-2","author":"K Olorunnimbe","year":"2024","unstructured":"Olorunnimbe, K., & Viktor, H. (2024). Ensemble of temporal Transformers for financial time series. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-024-00851-2","journal-title":"Journal of Intelligent Information Systems"},{"key":"868_CR11","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-024-00862-z","author":"M Pillai","year":"2024","unstructured":"Pillai, M., Liu, C. C., Kwong, E., Kratzke, I., Charguia, N., Mazur, L., & Adapa, K. (2024). Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals\u2019 burnout. Journal of Intelligent Information Systems. https:\/\/doi.org\/10.1007\/s10844-024-00862-z","journal-title":"Journal of Intelligent Information Systems"}],"container-title":["Journal of Intelligent Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-024-00868-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10844-024-00868-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10844-024-00868-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T08:13:02Z","timestamp":1725523982000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10844-024-00868-7"}},"subtitle":["ISMIS 2022 selected papers"],"short-title":[],"issued":{"date-parts":[[2024,7,30]]},"references-count":11,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["868"],"URL":"https:\/\/doi.org\/10.1007\/s10844-024-00868-7","relation":{},"ISSN":["0925-9902","1573-7675"],"issn-type":[{"type":"print","value":"0925-9902"},{"type":"electronic","value":"1573-7675"}],"subject":[],"published":{"date-parts":[[2024,7,30]]},"assertion":[{"value":"30 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}