XSQ-Learning: Adaptive Similarity Thresholds for Accelerated and Stable Q-Learning by Ansel Y. Rodríguez González, Roberto E. López Díaz, Shender M. Ávila Sansores, María G. Sánchez Cervantes

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Communication-Balancing Threshold for Event-Triggered Federated Learning by Juhyeong Yoon, Jun-Pyo Hong, Jaeyoung Song

Subjects: “…Federated learning…”
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Dynamic Risk Thresholds for SIEM Alerting Based on Machine Learning by Artur Kapera, Marcin Niemiec

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Explainable Machine Learning for Mapping Rainfall-Induced Landslide Thresholds in Italy by Xiangyu Shao, Wenjun Yan, Chaoying Yan, Wen Zhao, Yixuan Wang, Xia Shi, Hongchang Dong, Tianjiang Li, Junpo Yu, Peng Zuo, Zeyu Zhou, Jiming Jin

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Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption by Zhuo MA, Jiayu JIN, Yilong YANG, Yang LIU, Zuobin YING, Teng LI, Junwei ZHANG

Subjects: “…federated learning…”
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Transdisciplinary Threshold Concepts in Techno-Anthropology by Tom Børsen

“… This paper reflects on a slow re-reading of Maggi Savin-Baden’s “Impact of Transdisciplinary Threshold Concepts on Student Engagement in Problem-Based Learning” and its relation to the author’s experiences as a teacher and curriculum developer in Techno-Anthropology at Aalborg University. …”
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Sensitivity to Instruction Strategies in Motor Learning Is Predicted by Anterior–Posterior TMS Motor Thresholds by Michael L. Perrier, Kylee R. Graham, Jessica E. Vander Vaart, W. Richard Staines, Sean K. Meehan

“…<b>Objectives:</b> This study used controllable pulse parameter TMS (cTMS) to assess how AP-sensitive interneuron excitability interacts with explicit knowledge to influence motor learning. <b>Methods</b>: Seventy-two participants were grouped as AP-positive (n = 36) and AP-negative groups (n = 36) based on whether an AP threshold could be obtained before reaching maximal stimulator output. …”
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Interpretable machine learning unveils threshold responses and spatial patterns of global soil respiration by Junjie Jiang, Lingxia Feng, Junguo Hu, Chao Zhu

“…We found that a soil temperature of 20.9°C represented an important threshold for the ‘thermal adaptation’ of Rs. Moreover, this phenomenon varied significantly across climatic zones and ecosystems, and the threshold was positively correlated with precipitation. …”
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LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification by Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye, Ana Tajadura-Jimenez, Mahyar Shahsavari

“…In this paper, we introduce Learning Adaptive Spike Thresholds (LAST), a novel, trainable encoding strategy designed to address this challenge. …”
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Optimizing balanced accuracy in medical data threshold models by Benjamin F. Dribus, Jamie Hill, Neil Goldsmith, Daniel Martingano

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From Classic to Cutting-Edge: A Near-Perfect Global Thresholding Approach with Machine Learning by Nicolae Tarbă, Costin-Anton Boiangiu, Mihai-Lucian Voncilă

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Efficient Approach for Brain Tumor Detection and Classification Using Fuzzy Thresholding and Deep Learning Algorithms by Nashaat M. Hussain Hassan, Wadii Boulila

“…Furthermore, the proposed system outperforms conventional machine learning, deep learning, and transfer learning techniques. …”
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Concordance analysis between deep learning model predictions and electrocardiography thresholds from cardiology guidelines by Bender Theresa, Hempel Philip, Spicher Nicolai

“…Correlation is highest for RR intervals (SB: 0.44) and atrial as well as ventricular heart rates (ST: 0.51), with the majority exceeding clinical thresholds for both disorders, indicating that the model learned rhythmical features. …”
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A Framework Integrating Federated Learning and Fog Computing Based on Client Sampling and Dynamic Thresholding Techniques by Dang van Thang, Artem Volkov, Ammar Muthanna, Ibrahim A. Elgendy, Reem Alkanhel, Dushantha Nalin K. Jayakody, Andrey Koucheryavy

Subjects: “…Federated learning…”
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Applying machine learning to decode built environment thresholds for public and active transport distances in the global south by Ali Shkera, Domokos Esztergár-Kiss

“…By using gradient boosting decision trees, alongside six other machine learning (ML) models, including support vector machines, random forest, and artificial neural networks, this study identifies key BE factors that shape trip distances. …”
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An Innovative Adaptive Threshold-Based BESS Controller Utilizing Deep Learning Forecast for Peak Demand Reductions by MD Mahmudul Hasan, Yun Seng Lim, Lee Cheun Hau, Xie Cherng Miow, Jianhui Wong, Dylon Hao Cheng Lam, Nor Shahida Hasan, Hamzah B. Adlan

“…Hence, an innovative adaptive threshold-based controller is developed and implemented on a real 200 kWh BESS installed on a university campus in Malaysia to reduce daily peak demands. …”
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Is it Beneficial to Use Different Thresholds Over Time for Early Prediction Model? by Sungsoo HONG, Hyunwoo CHOO, Kyung Hyun LEE, Sungjun HONG, Ki-Byung LEE, Chang Youl LEE

Subjects: “…Deep learning…”
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Determination of Spatiotemporal Gait Parameters Using a Smartphone’s IMU in the Pocket: Threshold-Based and Deep Learning Approaches by Seunghee Lee, Changeon Park, Eunho Ha, Jiseon Hong, Sung Hoon Kim, Youngho Kim

“…This study proposes a hybrid approach combining threshold-based algorithm and deep learning to detect four major gait events—initial contact (IC), toe-off (TO), opposite initial contact (OIC), and opposite toe-off (OTO)—using only a smartphone’s built-in inertial sensor placed in the user’s pocket. …”
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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

“…We employed synthetic over-sampling and under-sampling techniques in certain machine learning algorithms to tackle the same issue. To address the issue of under sampling, we implemented ensemble random sampling, which was subsequently followed by Two-Stage Thresholding (TST) to eliminate outliers. …”
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Estimating the groundwater table threshold for mitigating soil salinization in the Songnen Plain of China by Yiding Ding, Haishen Lü, Ligang Xu, Robert Horton, Mingliang Jiang, Yonghua Zhu, Junxiang Cheng, Hongxiang Fan, Jianbin Su

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