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Titlebook: Digital Libraries: Supporting Open Science; 15th Italian Researc Paolo Manghi,Leonardo Candela,Gianmaria Silvello Conference proceedings 20

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樓主: Julienne
51#
發(fā)表于 2025-3-30 10:21:31 | 只看該作者
https://doi.org/10.1007/978-1-60327-914-7s, saving times to researchers and enabling their comparison. To this end, we describe the dataset value and its schema, analyse its actual content, and share the software Toolkit and experimental workflow required to reproduce it. The DOIBoost dataset and Software Toolkit are made openly available
52#
發(fā)表于 2025-3-30 14:57:02 | 只看該作者
53#
發(fā)表于 2025-3-30 16:54:07 | 只看該作者
54#
發(fā)表于 2025-3-30 21:19:54 | 只看該作者
On Synergies Between Information Retrieval and Digital Librariesetrieval (IR) research and innovative results are presented yearly; it is a highly competitive venue and only the best and most relevant works are accepted for publication. The analysis of ACM SIGIR papers gives us a unique opportunity to understand where the field is going and what are the most tre
55#
發(fā)表于 2025-3-31 01:23:36 | 只看該作者
56#
發(fā)表于 2025-3-31 07:13:18 | 只看該作者
57#
發(fā)表于 2025-3-31 09:44:49 | 只看該作者
Predicting the Usability of the Dice CAPTCHA via Artificial Neural Network the Dice CAPTCHA. This is accomplished by proposing a new artificial neural network model for predicting the response time from known personal and demographic features of the users who solve the CAPTCHA: (i) age, (ii) device on which the CAPTCHA is solved, and (iii) Web use in years. The experiment
58#
發(fā)表于 2025-3-31 16:36:34 | 只看該作者
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