Found: 22
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An Approach for Fall Prediction Based on Kinematics of Body Key Points Using LSTM.
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- International Journal of Environmental Research & Public Health, 2022, v. 19, n. 21, p. 13762, doi. 10.3390/ijerph192113762
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- Article
An initialization method to improve the training time of matrix factorization algorithm for fast recommendation.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2021, v. 25, n. 5, p. 3975, doi. 10.1007/s00500-020-05419-0
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- Article
A novel heuristic algorithm to solve penalized regression-based clustering model.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, v. 24, n. 12, p. 9215, doi. 10.1007/s00500-019-04448-8
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- Article
Land use change model based on bee colony optimization, Markov chain and a neighborhood decay cellular automata.
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- Natural Resource Modeling, 2018, v. 31, n. 2, p. 1, doi. 10.1111/nrm.12151
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- Article
On optimizing the charging trajectory of mobile chargers in wireless sensor networks: a deep reinforcement learning approach.
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- Wireless Networks (10220038), 2024, v. 30, n. 1, p. 421, doi. 10.1007/s11276-023-03384-8
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- Article
Improved cost-sensitive representation of data for solving the imbalanced big data classification problem.
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- Journal of Big Data, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40537-022-00617-z
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- Article
Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification.
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- Journal of Big Data, 2021, v. 8, n. 1, p. 1, doi. 10.1186/s40537-021-00527-6
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- Article
An efficient storage-optimizing tick data clustering model.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2020, v. 28, n. 5, p. 2657, doi. 10.3906/elk-1901-82
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- Article
Balanced hierarchical max margin matrix factorization for recommendation system.
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- Expert Systems, 2022, v. 39, n. 4, p. 1, doi. 10.1111/exsy.12911
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- Article
Alternating optimization to solve penalized regression‐based clustering model.
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- Expert Systems, 2019, v. 36, n. 6, p. N.PAG, doi. 10.1111/exsy.12462
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- Article
A fast algorithm for local feature selection in data classification.
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- Expert Systems, 2019, v. 36, n. 3, p. N.PAG, doi. 10.1111/exsy.12391
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- Article
A geodesic distance‐based approach for shape‐independent data clustering using coalitional game.
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- Expert Systems, 2018, v. 35, n. 6, p. N.PAG, doi. 10.1111/exsy.12318
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- Article
Increasing the speed of fuzzy k‐nearest neighbours algorithm.
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- Expert Systems, 2018, v. 35, n. 3, p. 1, doi. 10.1111/exsy.12254
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- Article
Classification of fuzzy data based on the support vector machines.
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- Expert Systems, 2013, v. 30, n. 5, p. 403, doi. 10.1111/j.1468-0394.2012.00645.x
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- Article
Robust Support Vector Machines with Low Test Time.
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- Computational Intelligence, 2015, v. 31, n. 4, p. 619, doi. 10.1111/coin.12039
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- Article
Comment on "Robustness and Regularization of Support Vector Machines" by H. Xu et al. (Journal of Machine Learning Research, vol. 10, pp. 1485-1510, 2009).
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- Journal of Machine Learning Research, 2013, v. 14, n. 11, p. 3493
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- Article
Improvements on Learning Kernel Extended Dictionary for Face Recognition.
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- Revue d'Intelligence Artificielle, 2020, v. 34, n. 4, p. 387, doi. 10.18280/ria.340402
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- Article
Improving Multi-class Co-Clustering-Based Collaborative Recommendation Using Item Tags.
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- Revue d'Intelligence Artificielle, 2020, v. 34, n. 1, p. 59, doi. 10.18280/ria.340108
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- Article
Improving the Speed of Support Vector Regression Using Regularized Least Square Regression.
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- Ingénierie des Systèmes d'Information, 2020, v. 25, n. 4, p. 427, doi. 10.18280/isi.250404
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- Article
TWSVC+: Improved Twin Support Vector Machine-Based Clustering.
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- Ingénierie des Systèmes d'Information, 2019, v. 24, n. 5, p. 463, doi. 10.18280/isi.240502
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- Article
Improving the Accuracy of M-distance Based Nearest Neighbor Recommendation System by Using Ratings Variance.
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- Ingénierie des Systèmes d'Information, 2019, v. 24, n. 2, p. 131, doi. 10.18280/isi.240201
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- Article
Enhancing CNN‐LSTM neural networks using jellyfish search algorithm for pandemic modeling.
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- Concurrency & Computation: Practice & Experience, 2024, v. 36, n. 17, p. 1, doi. 10.1002/cpe.8123
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- Article