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Detecting Unknown Shilling Attacks in Recommendation Systems.
- Published in:
- Wireless Personal Communications, 2024, v. 137, n. 1, p. 259, doi. 10.1007/s11277-024-11401-y
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- Article
Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches.
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- BMC Medical Informatics & Decision Making, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12911-024-02550-y
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- Article
Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images.
- Published in:
- 2024
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- Publication type:
- Correction Notice
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images.
- Published in:
- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01238-z
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- Article
Mobile crowd computing: potential, architecture, requirements, challenges, and applications.
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- Journal of Supercomputing, 2024, v. 80, n. 2, p. 2223, doi. 10.1007/s11227-023-05545-0
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- Article
Chronic kidney disease prediction using boosting techniques based on clinical parameters.
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- PLoS ONE, 2023, v. 18, n. 12, p. 1, doi. 10.1371/journal.pone.0295234
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- Article
MAPPING LEARNER'S QUERY TO LEARNING OBJECTS USING TOPIC MODELING AND MACHINE LEARNING TECHNIQUES.
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- Scalable Computing: Practice & Experience, 2023, v. 24, n. 4, p. 909, doi. 10.12694/scpe.v24i4.2466
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- Article
An ensemble learning approach for diabetes prediction using boosting techniques.
- Published in:
- Frontiers in Genetics, 2023, p. 1, doi. 10.3389/fgene.2023.1252159
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- Publication type:
- Article
Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey.
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- CAAI Transactions on Intelligence Technology, 2023, v. 8, n. 3, p. 581, doi. 10.1049/cit2.12180
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- Publication type:
- Article
An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms.
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- Computer Systems Science & Engineering, 2023, v. 46, n. 3, p. 3993, doi. 10.32604/csse.2023.035244
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- Article
Generating A New Shilling Attack for Recommendation Systems.
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- Computers, Materials & Continua, 2022, v. 71, n. 2, p. 2827, doi. 10.32604/cmc.2022.020437
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- Publication type:
- Article
Predicting Resource Availability in Local Mobile Crowd Computing Using Convolutional GRU.
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- Computers, Materials & Continua, 2022, v. 70, n. 3, p. 5199, doi. 10.32604/cmc.2022.019630
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- Publication type:
- Article
Using DEMATEL for Contextual Learner Modeling in Personalized and Ubiquitous Learning.
- Published in:
- Computers, Materials & Continua, 2021, v. 69, n. 3, p. 3981, doi. 10.32604/cmc.2021.017966
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- Publication type:
- Article
A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd Computing.
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- Symmetry (20738994), 2021, v. 13, n. 9, p. 1713, doi. 10.3390/sym13091713
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- Publication type:
- Article
Enhanced metadata modelling and extraction methods to acquire contextual pedagogical information from e-learning contents for personalised learning systems.
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- Multimedia Tools & Applications, 2021, v. 80, n. 16, p. 25309, doi. 10.1007/s11042-020-10380-z
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- Article
Distinctive author ranking using DEA indexing.
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- Quality & Quantity, 2021, v. 55, n. 2, p. 601, doi. 10.1007/s11135-020-01018-1
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- Publication type:
- Article
INTRODUCTION TO THE SPECIAL ISSUE ON EVOLVING IOT AND CYBER-PHYSICAL SYSTEMS: ADVANCEMENTS, APPLICATIONS, AND SOLUTIONS.
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- Scalable Computing: Practice & Experience, 2020, v. 21, n. 3, p. 345, doi. 10.12694/scpe.v21i3.1568
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- Publication type:
- Article
A Step Towards Smart Learning: Designing an Interactive Video-Based M-Learning System for Educational Institutes.
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- International Journal of Web-Based Learning & Teaching Technologies, 2019, v. 14, n. 4, p. N.PAG, doi. 10.4018/IJWLTT.2019100102
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- Publication type:
- Article
GREEN AND SUSTAINABLE HIGH-PERFORMANCE COMPUTING WITH SMARTPHONE CROWD COMPUTING: BENEFITS, ENABLERS, AND CHALLENGES.
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- Scalable Computing: Practice & Experience, 2019, v. 20, n. 2, p. 259, doi. 10.12694/scpe.v20i2.1517
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- Publication type:
- Article
INTRODUCTION TO THE SPECIAL ISSUE ON RECENT TRENDS AND FUTURE OF FOG AND EDGE COMPUTING, SERVICES, AND ENABLING TECHNOLOGIES.
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- Scalable Computing: Practice & Experience, 2019, v. 20, n. 2, p. iii, doi. 10.12694/scpe.v20i2.1558
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- Article