{"title":"A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application","authors":"Petr Máša, Jan Rauch","doi":"10.1007/s10844-023-00820-1","DOIUrl":"https://doi.org/10.1007/s10844-023-00820-1","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"78 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135221273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shivani Sri Varshini U, Praneetha Sree R, Srinivas M, Subramanyam R.B.V.
{"title":"I-S$$^2$$FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection","authors":"Shivani Sri Varshini U, Praneetha Sree R, Srinivas M, Subramanyam R.B.V.","doi":"10.1007/s10844-023-00821-0","DOIUrl":"https://doi.org/10.1007/s10844-023-00821-0","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135730841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chen Bai, Mohammad Al-Ani, Shawna Amini, Patrick Tighe, Catherine Price, Todd Manini, Mamoun Mardini
{"title":"Developing and validating an electronic health record-based frailty index in pre-operative settings using machine learning","authors":"Chen Bai, Mohammad Al-Ani, Shawna Amini, Patrick Tighe, Catherine Price, Todd Manini, Mamoun Mardini","doi":"10.1007/s10844-023-00818-9","DOIUrl":"https://doi.org/10.1007/s10844-023-00818-9","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135766512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"C-GDN: core features activated graph dual-attention network for personalized recommendation","authors":"Xiongtao Zhang, Mingxin Gan","doi":"10.1007/s10844-023-00816-x","DOIUrl":"https://doi.org/10.1007/s10844-023-00816-x","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135815569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evolvable transformation of knowledge graphs into human-oriented formats","authors":"Jan Slifka, Vojtěch Knaisl, Robert Pergl","doi":"10.1007/s10844-023-00809-w","DOIUrl":"https://doi.org/10.1007/s10844-023-00809-w","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136059287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"OIE4PA: open information extraction for the public administration","authors":"Lucia Siciliani, Eleonora Ghizzota, Pierpaolo Basile, Pasquale Lops","doi":"10.1007/s10844-023-00814-z","DOIUrl":"https://doi.org/10.1007/s10844-023-00814-z","url":null,"abstract":"Abstract Tenders are powerful means of investment of public funds and represent a strategic development resource. Despite the efforts made so far by governments at national and international levels to digitalise documents related to the Public Administration sector, most of the information is still available in an unstructured format only. With the aim of bridging this gap, we present OIE4PA, our latest study on extracting and classifying relations from tenders of the Public Administration. Our work focuses on the Italian language, where the availability of linguistic resources to perform Natural Language Processing tasks is considerably limited. Nevertheless, OIE4PA adopts a multilingual approach so it can be applied to several languages by providing appropriate training data. Rather than purely training a classifier on a portion of the extracted relations, the backbone idea of our learning strategy is to put a supervised method based on self-training to the proof and to assess whether or not it improves the performance of the classifier. For evaluation purposes, we built a dataset composed of 2,000 triples which have been manually annotated by two human experts. The in-vitro evaluation shows that OIE4PA achieves a MacroF $$_1$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:msub> <mml:mrow /> <mml:mn>1</mml:mn> </mml:msub> </mml:math> equal to 0.89 and a 91 $$%$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mo>%</mml:mo> </mml:math> accuracy. In addition, OIE4PA was used as the pillar of a prototype search engine, which has been evaluated through an in-vivo experiment with positive feedback from 32 final users, obtaining a SUS score equal to 83.98 .","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136312979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global-mirror graph network for session-based recommendation","authors":"Yuqiang Li, Jianxiang Long, Chun Liu","doi":"10.1007/s10844-023-00813-0","DOIUrl":"https://doi.org/10.1007/s10844-023-00813-0","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135110034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transformer based multilingual joint learning framework for code-mixed and english sentiment analysis","authors":"None Mamta, Asif Ekbal","doi":"10.1007/s10844-023-00808-x","DOIUrl":"https://doi.org/10.1007/s10844-023-00808-x","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135396589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden
{"title":"Improving information retrieval through correspondence analysis instead of latent semantic analysis","authors":"Qianqian Qi, David J. Hessen, Peter G. M. van der Heijden","doi":"10.1007/s10844-023-00815-y","DOIUrl":"https://doi.org/10.1007/s10844-023-00815-y","url":null,"abstract":"Abstract The initial dimensions extracted by latent semantic analysis (LSA) of a document-term matrix have been shown to mainly display marginal effects, which are irrelevant for information retrieval. To improve the performance of LSA, usually the elements of the raw document-term matrix are weighted and the weighting exponent of singular values can be adjusted. An alternative information retrieval technique that ignores the marginal effects is correspondence analysis (CA). In this paper, the information retrieval performance of LSA and CA is empirically compared. Moreover, it is explored whether the two weightings also improve the performance of CA. The results for four empirical datasets show that CA always performs better than LSA. Weighting the elements of the raw data matrix can improve CA; however, it is data dependent and the improvement is small. Adjusting the singular value weighting exponent often improves the performance of CA; however, the extent of the improvement depends on the dataset and the number of dimensions.","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136192587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing aspect-based sentiment analysis with dependency-attention GCN and mutual assistance mechanism","authors":"Jialin Feng, Hong Li, Zhiyi Yu","doi":"10.1007/s10844-023-00811-2","DOIUrl":"https://doi.org/10.1007/s10844-023-00811-2","url":null,"abstract":"","PeriodicalId":56119,"journal":{"name":"Journal of Intelligent Information Systems","volume":"56 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85839767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}