Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…When no pre-existing predictive model of toxic behavior is available, one must be estimated in real-time. …”
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Algorithms for Synthesis of Technological Operations for Manufacturing Samples of Structurally Complex Products by A. V. Petukhov

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OPTIMIZING THE CONTROL OF SPATIAL MECHANISMS USING GENETIC ALGORITHMS AND ANT COLONY by Ápostolos Tsagaris, Gabriel Mansour

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Application of Metaheuristic Algorithms and ANN Model for Univariate Water Level Forecasting by Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Anmar Dulaimi, Ruqayah Al-Khafaji

“…The methodology includes preprocessing data methods, and the ANN model optimises with a marine predator algorithm (MPA). In the optimisation procedure, to decrease uncertainty and expand the predicting range, the slime mould algorithm (SMA-ANN), constriction coefficient-based particle swarm optimisation and chaotic gravitational search algorithms (CPSOCGSA-ANN), and particle swarm optimisation (PSO-ANN) are applied to compare and validate the MPA-ANN model performance. …”
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Machine learning algorithms of riverbed change and environments of the Lower Apalachicola River by Ali R. Alruzuq, Joann Mossa

“…The study identifies potential drivers of riverbed changes using machine learning algorithms. The RF model has outperformed the XGBoost model with an R-square of 0.95 and 0.93 for the validation and testing sets, respectively, for RF, indicating high predictive accuracy while slightly less accurate with an R-square of 0.75 and 0.74 for the validation and testing sets. …”
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Comparison of three one-dimensional time-domain electromagnetic forward algorithms by Frederik Alexander Falk, Anders Vest Christiansen, Thomas Mejer Hansen

“…Accurate, efficient, and accessible forward modeling of geophysical processes is essential for understanding them and for inversion of geophysical data. Various algorithms are available for predicting data with the time domain electromagnetic method (TDEM). …”
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Machine Learning Algorithms for Nondestructive Sensing of Moisture Content in Grain and Seed by Arthur P. LeBlanc, Samir Trabelsi, Khaled Rasheed, John A. Miller

“…Performance of this model is investigated and compared with models trained on an individual grain or seed by using different algorithms, including artificial neural network (NN), support vector regression (SVR), ElasticNet, among other algorithms. …”
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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…We propose a novel cross-validation method to evaluate co-occurrence network inference algorithms, and new methods for applying existing algorithms to predict on test data. …”
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An evaluation of flow-routing algorithms for calculating contributing area on regular grids by A. B. Prescott, J. D. Pelletier, S. Chataut, S. Ananthanarayan

“…We revisit the purported excess dispersion of the multiple-flow-direction (MFD) algorithm of Freeman (1991) that motivated the development of <span class="inline-formula"><i>D</i>∞</span> and demonstrate that MFD is superior to <span class="inline-formula"><i>D</i>∞</span> when tested against analytic solutions for the contributing areas of idealized landforms and the predictions of the shallow-water equation solver FLO-2D for more complex landforms in which the water surface slope is closely approximated by the bed slope. …”
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Conflict management training for future educators by N. A. Sokolova, N. V. Sivrikova, E. G. Chernikova, T. G. Ptashko, E. M. Harlanova, S. V. Roslyakova

“…The relevance of the declared topic was dictated by the increased conflict between the members of education and the increasing demands placed on the professional activities of the modern teachers to resolve conflicts in the conditions of general education school. …”
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STAFFING MECHANISM TRIPLE HELIX by L. Artamonova, T. Shpilkina, I. Kvasov

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Spark: The First Choice for Novices by Judith Gal-Ezer, Smadar Szekely

Subjects: “…computer science education…”
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Development of Empathy of Seventh-graders on the Basis of Musical and Stage Images by Kiryanov I.E., Lipkan N.V.

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A new algorithm for surgical treatment of infected pancreatic necrosis by E. A. Korymasov, S. A. Ivanov, N. I. Anor'ev, R. R. Yakovlev

“…The developed devices for necrectomy allowed for a reduction in operation time by 45.6% (p = 0.04). Conclusions: The application of the developed treatment algorithm and instrumentation using minimally invasive technologies allowed for a reduction in the frequency of postoperative complications from 94.3% to 38.1% and mortality from 54.7% to 33,3% in patients with infected pancreatic necrosis.…”
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Automatic Morpheme Segmentation for Russian: Can an Algorithm Re-place Experts? by Дмитрий Алексеевич Морозов, Тимур Александрович Гарипов, Ольга Николаевна Ляшевская, Светлана Олеговна Савчук, Борис Леонидович Иомдин, Анна Валерьевна Глазкова

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Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm by Yaqin Guang, Shunyong Li, Quanping Li

“…Finally, GABP is further optimized by the simulated annealing (SA) algorithm. The results show that, compared with the calculation results of the BP model, the GABP algorithm can reduce the number of BP training, has high prediction accuracy, and realizes the complementary advantages of GA and BP neural network. …”
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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

“…This study aims to develop a reliable and efficient prediction algorithm that utilizes unbiased transformation to improve machine learning model performance on interval-censored data. …”
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Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction by Fabian Obster, Monica I. Ciolacu, Andreas Humpe

“…This paper investigates the empirical relationship between predictive performance, often called predictive power, and interpretability of various Machine Learning algorithms, focusing on bicycle traffic data from four cities. …”
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Power Loss Reduction and Reliability Improvement of Radial Distribution Systems Using Optimal Capacitor Placement Technique by Mohanad Muneer Yaqoob, Ali Nasser Hussain, Wathiq Rafa Abed, Daniel Augusto Pereira

“…The proposed technique has been tested with 69 typical IEEE RDS buses using the Improved Binary Particle Swarm Optimization (IBPSO) algorithm. The proposed algorithm shows a high ability to find the best location and size of injected capacitors inside the RDS to implement a single-objective function for minimization of Active Power Loss (APL). …”
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Composite fault feature extraction for gears based on MCKD-EWT adaptive wavelet threshold noise reduction by Yanchang LV, Jingyue Wang, Chengqiang Zhang, Jianming Ding

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