检索结果 - Matwin, Stan

Direct comparison between support vector machine and multinomial naive Bayes algorithms for medical abstract classification 由 Matwin, Stan, Sazonova, Vera

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Annotation concept synthesis and enrichment analysis: a logic-based approach to the interpretation of high-throughput experiments 由 Jiline, Mikhail, Matwin, Stan, Turcotte, Marcel

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deepBioWSD: effective deep neural word sense disambiguation of biomedical text data 由 Pesaranghader, Ahmad, Matwin, Stan, Sokolova, Marina, Pesaranghader, Ali

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Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning 由 de Souza, Erico N., Boerder, Kristina, Matwin, Stan, Worm, Boris

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Correction: Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning 由 de Souza, Erico N., Boerder, Kristina, Matwin, Stan, Worm, Boris

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Examining the impact of cross-domain learning on crime prediction 由 Bappee, Fateha Khanam, Soares, Amilcar, Petry, Lucas May, Matwin, Stan

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Engineering of a Clinical Decision Support Framework for the Point of Care Use 由 Wilk, Szymon, Michalowski, Wojtek, O’Sullivan, Dympna, Farion, Ken, Matwin, Stan

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A new algorithm for reducing the workload of experts in performing systematic reviews 由 Matwin, Stan, Kouznetsov, Alexandre, Inkpen, Diana, Frunza, Oana, O'Blenis, Peter

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Performance of SVM and Bayesian classifiers on the systematic review classification task 由 Matwin, Stan, Kouznetsov, Alexandre, Inkpen, Diana, Frunza, Oana, O'Blenis, Peter

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Association between surgical wait time and hospital length of stay in primary total knee and hip arthroplasty 由 Seddigh, Shahriar, Lethbridge, Lynn, Theriault, Patrick, Matwin, Stan, Dunbar, Michael J.

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deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes 由 Pesaranghader, Ahmad, Matwin, Stan, Sokolova, Marina, Grenier, Jean-Christophe, Beiko, Robert G, Hussin, Julie

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Can Anonymous Posters on Medical Forums be Reidentified? 由 Bobicev, Victoria, Sokolova, Marina, El Emam, Khaled, Jafer, Yasser, Dewar, Brian, Jonker, Elizabeth, Matwin, Stan

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COVID-19 Pandemic: Identifying Key Issues Using Social Media and Natural Language Processing 由 Oyebode, Oladapo, Ndulue, Chinenye, Mulchandani, Dinesh, Suruliraj, Banuchitra, Adib, Ashfaq, Orji, Fidelia Anulika, Milios, Evangelos, Matwin, Stan, Orji, Rita

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Aircraft Fuselage Corrosion Detection Using Artificial Intelligence 由 Brandoli, Bruno, de Geus, André R., Souza, Jefferson R., Spadon, Gabriel, Soares, Amilcar, Rodrigues, Jose F., Komorowski, Jerzy, Matwin, Stan

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Brain network topology predicts participant adherence to mental training programs 由 Saghayi, Marzie, Greenberg, Jonathan, O’Grady, Christopher, Varno, Farshid, Hashmi, Muhammad Ali, Bracken, Bethany, Matwin, Stan, Lazar, Sara W., Hashmi, Javeria Ali

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Give more data, awareness and control to individual citizens, and they will help COVID-19 containment 由 Nanni, Mirco, Andrienko, Gennady, Barabási, Albert-László, Boldrini, Chiara, Bonchi, Francesco, Cattuto, Ciro, Chiaromonte, Francesca, Comandé, Giovanni, Conti, Marco, Coté, Mark, Dignum, Frank, Dignum, Virginia, Domingo-Ferrer, Josep, Ferragina, Paolo, Giannotti, Fosca, Guidotti, Riccardo, Helbing, Dirk, Kaski, Kimmo, Kertesz, Janos, Lehmann, Sune, Lepri, Bruno, Lukowicz, Paul, Matwin, Stan, Jiménez, David Megías, Monreale, Anna, Morik, Katharina, Oliver, Nuria, Passarella, Andrea, Passerini, Andrea, Pedreschi, Dino, Pentland, Alex, Pianesi, Fabio, Pratesi, Francesca, Rinzivillo, Salvatore, Ruggieri, Salvatore, Siebes, Arno, Torra, Vicenc, Trasarti, Roberto, Hoven, Jeroen van den, Vespignani, Alessandro

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