The Creative Musical Achievement of AI Systems Compared to Music Students: A Replication of the Study by Schreiber et al. (2024) by Nicholas Meier, Kilian Sander, Anton Schreiber, Reinhard Kopiez

“…The second main finding revealed a mean (and meaningful) discrimination sensitivity of d’ = 1.09 for AI- and human-based solutions. …”
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Neural Correlation Integrated Adaptive Point Process Filtering on Population Spike Trains by Mingdong Li, Shuhang Chen, Xiang Zhang, Yiwen Wang

“…Our proposed method is validated on both simulation and real data collected from the rat two-lever discrimination task. Due to the simultaneous modeling of functional neural connectivity and single neuronal tuning properties, the proposed method shows better decoding performance. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…Our approach involves the following: (i) evaluating different deep learning (DL) models for subject-dependent MI-EEG discrimination; (ii) employing class activation mapping (CAM) to visualize relevant MI-EEG features; and (iii) utilizing a questionnaire–MI performance canonical correlation analysis (QMIP-CCA) to provide multidomain interpretability. …”
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RaDiT: A Differential Transformer-Based Hybrid Deep Learning Model for Radar Echo Extrapolation by Wenda Zhu, Zhenyu Lu, Yuan Zhang, Ziqi Zhao, Bingjian Lu, Ruiyi Li

“…A conditional GAN discriminator is integrated to maintain microphysical consistency in generated sequences, simultaneously addressing spectral blurring and intensity dissipation. …”
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Feasibility of an Objective Approach Using Acoustic Change Complex for Evaluating Spectral Resolution in Individuals with Normal Hearing and Hearing Loss by Soojin Kang, Jihwan Woo, Kyung Myun Lee, Hye Yoon Seol, Sung Hwa Hong, Il Joon Moon

“…Background: Identifying the temporal and spectral information in sound is important for understanding speech; indeed, a person who has good spectral resolution usually shows good speech recognition performance. The spectral ripple discrimination (SRD) test is often used to behaviorally determine spectral resolution capacity. …”
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Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network by Fanar E. K. Al-Khuzaie, Oguz Bayat, Adil D. Duru

“…Alzheimer’s disease is a chronic condition that degenerates the cells of the brain leading to memory asthenia. …”
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Comparing Different Specifications of Mean–Geometric Mean Linking by Alexander Robitzsch

“…In larger samples, the UW method performs best when random DIF with homogeneous variances affects item difficulties, while the DW method achieves superior performance when such DIF is present in item intercepts. …”
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Robust Spike Sorting Using Dual Tree Complex Wavelet Transform: Overcoming Traditional Limitations by Gorkem Serbes

“…The performance of DT-CWT was compared with Haar wavelet and PCA using both original and modified superparamagnetic clustering approaches. …”
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Auditory-Cortex Short-Term Plasticity Induced by Selective Attention by Iiro P. Jääskeläinen, Jyrki Ahveninen

“…Importantly, some of the auditory-cortical short-term plasticity effects observed during selective attention predict enhancements in behaviorally measured sound discrimination performance.…”
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No interaction between fundamental-frequency differences and spectral region when perceiving speech in a speech background. by Sara M K Madsen, Torsten Dau, Andrew J Oxenham

“…Performance was measured with average F0 differences (ΔF0) between the target and single-talker masker of 0, 2, and 4 semitones. …”
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Memory and False Memory for Information That Is Either Expected or Unexpected Based on Age Stereotypes by Z. Asude Kaymak Gülseren, Simay İkier

“…The passage also contained information about the physical performance and social behavior of the main character that was either expected (expected information condition) or unexpected (unexpected information condition) for his age. …”
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Establishment and validation of a DIP panel for forensic ancestry inference and personal identification by Shuanglin Li, Shuyan Mei, Yanfang Liu, Wei Cui, Bofeng Zhu

“…The combined probability of discrimination and the cumulative probability of paternity exclusion values were 0.999999999999 and 0.9937, respectively. …”
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Relationship Between the Lactate-to-Albumin Ratio and 28-Day Overall Mortality in Critically Ill Patients with Pulmonary Embolism: A Retrospective Analysis of the MIMIC-IV Datab... by Junhao Xu MD, Shaoxing Wu MD, Haipeng Li MD, Xinming Chen MD, You Zhou PhD, Yinji Xu MD

“…The ROC curve's C-statistic, validated by the DeLong test, highlights the superior performance of the LAR model, while the positive Integrated Discrimination Improvement and Net Reclassification Improvement values demonstrate its additional prognostic value over the PESI model. …”
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A Computational Intelligence-Based Proposal for Cybersecurity and Health Management with Continuous Learning in Chemical Processes by Adrián Rodríguez Ramos, Pedro Juan Rivera Torres, Orestes Llanes-Santiago

“…The proposed methodology demonstrates strong robustness and reliability, even in complex conditions characterized by noisy measurements and disturbances, achieving outstanding performance due to its excellent discrimination capabilities.…”
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Deep Learning Method for Bearing Fault Diagnosis by LIU Xiu, MA Shan-tao, XIE Yi-ning, HE Yong-jun

“…After testing on multiple data sets, and comparing with existing methods, experiments show that the method in this paper has significant performance in accuracy, noise robustness, and fault recognition rate under variable load conditions.…”
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Remote Sensing Image Change Detection Based on Multi-Level Diversity Feature Fusion by Honggang Xie, Wanjie Ma

“…Finally, experimental tests demonstrate that our method achieves excellent performance in two public change detection datasets.…”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…Abstract Diabetic retinopathy (DR) is a severe ophthalmic condition that can lead to blindness if not diagnosed and provided timely treatment. …”
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Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome by Gabriela Meza-Fuentes, Iris Delgado, Mario Barbé, Ignacio Sánchez-Barraza, Mauricio A. Retamal, René López

“…Therefore, the objective of this study is to identify physiological subphenotypes of ARDS using machine learning, and to determine ventilatory variables that can effectively discriminate between these subphenotypes in a bedside setting with high performance, highlighting potential utility for future clinical stratification approaches. …”
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Integrating spatiotemperporal features into fault prediction using a multi-dimensional method by Chun-Yi Lin, Yu-Chuan Tseng, Wu-Sung Yao

“…In order to further verify the significance of the model, the experiment is conducted on mercury induction motors of industrial water pumps, and an McNemar’s Chi-Square Test was used to statistically test the fault discrimination ability of the model under various conditions. …”
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Advancing Four-Tier Diagnostic Assessments: A Novel Approach to Mapping Engineering Students’ Conceptual Understanding in Microwave Engineering Course by Nafiu Salele, MD Shahadat Hossain Khan, Mahbub Hasan, Sanjida Ali

“…Regression analysis revealed a logarithmic relationship between students’ misconceptions and their overall performance, with misconceptions being present even among higher-performing students. …”
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