Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

Get full text

Stability of Characteristics of Physical Random Number Generators by M. O. Pikuza, S. Yu. Mikhnevich, A. Yu. Siankevich

Get full text

Random Generalized Additive Logistic Forest: A Novel Ensemble Method for Robust Binary Classification by Oyebayo Ridwan Olaniran, Ali Rashash R. Alzahrani, Nada MohammedSaeed Alharbi, Asma Ahmad Alzahrani

“…We introduce a novel ensemble approach, the Random Generalized Additive Logistic Forest (RGALF), which integrates generalized additive models (GAMs) within a random forest framework to improve binary classification tasks. …”
Get full text

Failing Despite Knowing. Repeated Decision-Making During Binary Random Sequences with Asymmetric Probabilities by Uatkán Ajna, Ruzsa Gábor, Faragó Klára

Get full text

Evaluating the three-level approach of the U-smile method for imbalanced binary classification. by Barbara Więckowska, Katarzyna B Kubiak, Przemysław Guzik

“…Real-life binary classification problems often involve imbalanced datasets, where the majority class outnumbers the minority class. …”
Get full text

A Lower Bound on the Success Probability of Binary Random Linear Network Codes Aided by Noise Decoding by Ioannis Chatzigeorgiou

Get full text

Non-Fragile Estimation for Nonlinear Delayed Complex Networks with Random Couplings Using Binary Encoding Schemes by Nan Hou, Weijian Li, Yanhua Song, Mengdi Chang, Xianye Bu

Get full text

Analysis of motorcyclists crash severity using cluster correspondence and hierarchical binary logit models by Richard Dzinyela, Bahar Dadashova, Grant Westfall, Subasish Das, Chiara Silvestri-Dobrovolny, Emmanuel Kofi Adanu, Dominique Lord

Get full text

CREDIT CARD FRAUD DETECTION USING LINEAR DISCRIMINANT ANALYSIS (LDA), RANDOM FOREST, AND BINARY LOGISTIC REGRESSION by Muhammad Ahsan, Tabita Yuni Susanto, Tiza Ayu Virania, Andi Indra Jaya

“…In this research, we describe fraud detection as a classification issue by comparing three methods. The method used is Linear Discriminant Analysis (LDA), Random Forest, and Binary Logistic Regression. …”
Get full text

SBS Suppression Capability of Optimized Pseudo-Random Binary Sequence Phase Modulation in Multi-Stage Fiber Amplifiers by He Wang, Yifeng Yang, Kaiyuan Wang, Qianhe Shao, Xinyu Duan, Xiaolong Chen, Kai Liu, Xiaoqiang Xiong, Junqing Meng, Bing He

“…We demonstrate the capability to suppress stimulated Brillouin scattering (SBS) in a high-power all-fiber laser amplifier system using filtered and amplified pseudo-random binary sequence (PRBS) phase modulation techniques. …”
Get full text

A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification by Wei Huang, Yao Huang, Zebin Wu, Junru Yin, Qiqiang Chen

“…In order to improve classification performance while reducing costs, this article proposes a multikernel method based on a local binary pattern and random patches (LBPRP-MK), which integrates a local binary pattern (LBP) and deep learning into a multiple-kernel framework. …”
Get full text

An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features by Mücahid Barstuğan

Get full text

A binary choice model for adoption of an emerging travel mode with unique service features by Yu Gu, Anthony Chen, Sunghoon Jang, Songyot Kitthamkesorn

Get full text

Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest by Lu Huang, Lu Huang, Xin Liu, Jiang Yi, Yu-Wei Jiao, Tian-Qi Zhang, Guang-Yao Zhu, Shu-Yue Yu, Zhong-Liang Liu, Min Gao, Xiao-Qin Duan

“…The subject was classified as either Success or Unsuccess group according to whether they had completed the on-road test. A random forest algorithm was then applied to construct a binary classification model based on the data obtained from the two groups.ResultsCompared to the Unsuccess group, the Success group had higher scores on the OCS scale for “crossing out the intact heart” (p = 0.015) and lower scores for “executive function” (p = 0.009). …”
Get full text

A Hybrid Mangrove Identification Method by Combining the Time-Frequency Threshold of the Mangrove Index With a Random Forest Binary Classifier by Zhuokai Jian, Bin Ai, Jiali Zeng, Yuchao Sun

Get full text

Wide Binaries from GAIA DR3 : testing GR vs MOND with realistic triple modelling by Charalambos Pittordis, Will Sutherland, Paul Shepherd

“…We provide an updated test for modifications of gravity from a sample of wide-binary stars from Gaia DR3, and their sky-projected relative velocities. …”
Get full text

Formation of streams of binary sequences with controlled structure of "cellular" automata in homogeneous register environments by P. A. Kadiev, K. K. Nazarov, Z. G. Kardashova

Get full text

Controlled random tests with limited Hamming distance by V. N. Yarmolik, V. V. Petrovskaya, D. V. Demenkovets, V. A. Levantsevich

Get full text

Statistical Fragility of Findings From Randomized Phase 3 Trials in Pediatric Oncology by Hannah E. Olsen, Pei‐Chi Kao, Caleb Richmond, David S. Shulman, Wendy B. London, Steven G. DuBois

Get full text

An Integer Erasure Correction Coding and Its Application for Security Enhancement of Encryption by Miodrag J. Mihaljevic, Aleksandar Radonjic, Nevena Mijajlovic, Lianhai Wang, Shujiang Xu

Get full text