Application of random forests methods to diabetic retinopathy classification analyses. by Ramon Casanova, Santiago Saldana, Emily Y Chew, Ronald P Danis, Craig M Greven, Walter T Ambrosius

“…We studied the impact of sample size on classifier performance and the possibility of using RF generated class conditional probabilities as metrics describing DR risk. …”
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Integrating Copula-Based Random Forest and Deep Learning Approaches for Analyzing Heterogeneous Treatment Effects in Survival Analysis by Jong-Min Kim

“…The CNN-LSTM model consistently outperforms the others, achieving the lowest prediction errors and highest discrimination, particularly under IPTW. Among the weighting strategies, IPTW yields the most substantial improvements in model performance and bias reduction. …”
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Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation by Huihui Wang, Xiaoxue Che, Jiaxuan Nan, Yuyuan Miao, Yaqi Wang, Wuping Zhang, Fuzhong Li, Jiwan Han

“…To assess the impact of conditional WGAN-GP data augmentation, model performance was first evaluated using the original dataset as a baseline, showing PLS-LDA had the best classification performance with accuracy of 95% and kappa coefficient of 0.93. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

“…Data were split into two sets, where 80% developed a decision tree, and 20% tested predictive performance. We employed a conditional inference tree algorithm with bootstrap (B = 100) and grid search options to grow the decision tree and measure discrimination ability using the area under the curve (AUC) and calibration plots.…”
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Temporal causal inference with stochastic audiovisual sequences. by Shannon M Locke, Michael S Landy

“…By combining results from Exps 1 and 2, we found better rate-discrimination performance for sequences that are more likely to be integrated than those that are not. …”
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Cross-Species Evidence for Psilocin-Induced Visual Distortions: Apparent Motion Is Perceived by Both Humans and Rats by Čestmír Vejmola, Klára Šíchová, Kateřina Syrová, Lucie Janečková, Vlastimil Koudelka, Michael Tesař, Marek Nikolič, Michaela Viktorinová, Filip Tylš, Jakub Korčák, Vojtěch Viktorin, Eduard Kelemen, Tereza Nekovářová, Martin Brunovský, Jiří Horáček, Martin Kuchař, Tomáš Páleníček

“…In rats, psilocin selectively impaired performance in the motion-based task, while performance in the luminance-based task remained intact, indicating a specific effect on visual perception. …”
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Risk models to predict hypertension: a systematic review. by Justin B Echouffo-Tcheugui, G David Batty, Mika Kivimäki, Andre P Kengne

“…<h4>Background</h4>As well as being a risk factor for cardiovascular disease, hypertension is also a health condition in its own right. Risk prediction models may be of value in identifying those individuals at risk of developing hypertension who are likely to benefit most from interventions.…”
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Directional hand movement can be classified from insular cortex SEEG signals using recurrent neural networks and high-gamma band features by Xiecheng Shao, Ryan S. Chung, Jonathon M. Cavaleri, Roberto Martin Del Campo-Vera, Miguel Parra, Shivani Sundaram, Selena Zhang, Ashwitha Surabhi, Ryan J. McGinn, Charles Y. Liu, Spencer S. Kellis, Brian Lee

“…Our study highlights the potential role of deep brain structures, such as the insula, in conditional movement discrimination. We demonstrate that LSTM networks and high-gamma band analysis can advance the understanding of neural mechanisms underlying movement. …”
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Domain Diversification Progressive Cross-Domain Weakly-Supervised Real-time Object Detection by LI Chengyan, ZHENG Qisen, WANG Hao

“…Aiming at the problems of large image translation bias at the pixel-level adaptation, the risk of source-bias discrimination at the feature-level adaptation, and the inability of weakly supervised learning to balance detection accuracy and real- time performance, a diversified domain shifter and pseudo bounding box generator are proposed to gradually adjust the pre-training model. …”
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Linear Dimensionality Reduction: What Is Better? by Mohit Baliyan, Evgeny M. Mirkes

“…The results show that there is no universal answer to the best intrinsic dimension, but the conditional number heuristic performs better, on average. …”
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Self-Supervised Feature Disentanglement for Deepfake Detection by Bo Yan, Pan Liu, Yumin Yang, Yanming Guo

“…The core method comprises three key components: self-supervised sample construction and training samples for feature disentanglement, which are generated via an image self-mixing mechanism; feature disentanglement network, where the input image is decomposed into two parts—content features irrelevant to forgery and discriminative forgery-related features; and conditional decoder verification, where both types of features are used to reconstruct the image, with forgery-related features serving as conditional vectors to guide the reconstruction process. …”
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Prediction of permeability and porosity from well log data using the nonparametric regression with multivariate analysis and neural network, Hassi R’Mel Field, Algeria by Baouche Rafik, Baddari Kamel

“…In comparing the relative predictive performance of the three regression methods, the alternating conditional expectations with ACE method appears to outperform the other two methods.…”
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Designing Ship Hull Forms Using Generative Adversarial Networks by Kazuo Yonekura, Kotaro Omori, Xinran Qi, Katsuyuki Suzuki

“…The generator learns to synthesize hull geometries conditioned on target performance values, while the discriminator is trained to distinguish real hull forms from generated ones. …”
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Diagnostics of Olfactory Impairment Using the Novel Olfactory Test Panoramic Smell Test by Tolstikhin, Y.V., Gavrilova, N.Y., Soprun, L.A., Chernyshova, O.A., Taalaibek-kyzy, Y.

“…Correlation analysis revealed a moderate association between total discrimination scores and performance on specific odorant pairs and a weaker correlation with identification scores, indicating partially independent processing levels. …”
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Perceived Sexual Health Needs of Older Women: A Systematic Review by Farzaneh Saadatmand, Marjan Beigi, Zahra Heidari, Mitra Savabi-Esfahani

“…Conclusions: The sexual needs of older women have been neglected due to prevailing social structures of many countries, stigma, gender discrimination, and lack of sexual health literacy. In addition to the need for social and emotional support to adapt to the conditions of old age, these women need to achieve sexual rights, improve sexual health literacy, and receive health services.…”
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Motivation and intelligence drive auditory perceptual learning. by Sygal Amitay, Lorna Halliday, Jenny Taylor, Ediz Sohoglu, David R Moore

“…Superimposed on these group data, however, individual listeners showed other systematic changes of performance. In particular, those with lower non-verbal IQ who trained in the no feedback condition performed more poorly after training.…”
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Assessing cognitive flexibility in mice using a custom-built touchscreen chamber by Rui C. Pais, Ali Goldani, Jayden Hutchison, Amirhossein Mazrouei, Mostafa Khavaninzadeh, Leonardo A. Molina, Robert J. Sutherland, Majid H. Mohajerani, Majid H. Mohajerani

“…The results demonstrated a clear progression toward asymptotic performance, particularly in the location discrimination task, which also revealed potential genotype-specific deficits, with AppNL−G−F mice displaying an increase in the average number of errors in the first reversal as well as in perseverative errors, compared to wild-type mice. …”
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Diagnostic prediction model for screening of elevated low-density and non-high-density lipoproteins in young Thai adults between 20 and 40 years of age by Phichayut Phinyo, Wuttipat Kiratipaisarl, Vithawat Surawattanasakul, Wachiranun Sirikul

“…Predictor selection used the backward stepwise elimination. Four performance metrics were quantified: discrimination using area under the receiver-operating characteristic curve (AuROC); calibration by calibration plot; utility by decision curve analysis and instability by performance instability plots. …”
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Enhancement in Bearing Fault Classification Parameters Using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients Features by Youcef ATMANI, Said RECHAK, Ammar MESLOUB, Larbi HEMMOUCHE

“…This is the Average Classification Rate (ACR) obtained from the confusion matrix. In every test performed, the generated features vectors are considered along to discriminate between four fault conditions as normal bearings, bearings with inner and outer race faults and ball faults. …”
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Caffeine reduces accuracy in face recognition memory consolidation by Candela S. Leon, Agustina L. Lo Celso, Rocío A. Guajardo, Cecilia Forcato

“…On Day 2, they completed a recognition task under two conditions: Present condition (original face with five similar distractors) or Absent condition (six similar distractors) adding a “none of the above” option. …”
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