SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering. by Mario Grassi, Barbara Tarantino

“…The results show that the SEMdag() procedure can recover a graph structure with good disease prediction performance evaluated by a conventional supervised learning algorithm (RF): in the scenario where the initial graph is sparse, the BU approach may be a better choice than the KB one; in the case where the graph is denser, both BU an KB report high performance, with highest score for KB approach based on topological layers. …”
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A Review of Caveats in Statistical Nuclear Image Analysis by Helene Schulerud, Gunner B. Kristensen, Knut Liestøl, Liljana Vlatkovic, Albrecht Reith, Fritz Albregtsen, Hàvard E. Danielsen

“…We suggest that a consensus of how to perform evaluation of diagnostic and prognostic features is necessary, in order to develop reliable tools for clinical use, based on nuclear image analysis.…”
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Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets by Hadi Salloum, Kamil Sabbagh, Vladislav Savchuk, Ruslan Lukin, Osama Orabi, Marat Isangulov, Manuel Mazzara

“…However, the application of quantum annealing in machine learning remains limited due to the lack of conclusive performance evaluations on real-world datasets. There is still no clear consensus on the efficacy of these models in practical scenarios. …”
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Comparative evaluation of four exome enrichment solutions in 2024: Agilent, Roche, Vazyme and Nanodigmbio by Vera Belova, Iuliia Vasiliadis, Zhanna Repinskaia, Alina Samitova, Anna Shmitko, Natalya Ponikarovskaya, Oleg Suchalko, Valery Cheranev, Shatalov Peter, Shegai Peter, Kaprin Andrey, Denis Rebrikov, Dmitriy Korostin

“…Variant calling performance, evaluated using in-lab standard E701 DNA sample, showed high recall rates for all kits, especially Agilent v8. …”
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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

“…We utilize Operations Per Second (OPS), which is measured in an analytical and systematic approach, as a major metric to quantify the AI performance. We perform evaluations on various systems to ensure the benchmark’s stability and scalability, from 4 nodes with 32 NVIDIA Tesla T4 (56.1 Tera-OPS measured) up to 512 nodes with 4096 Huawei Ascend 910 (194.53 Peta-OPS measured), and the results show near-linear weak scalability. …”
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A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification by Neha Sharma, Manoj Sharma, Amit Singhal, Nuzhat Fatema, Vinay Kumar Jadoun, Hasmat Malik, Asyraf Afthanorhan

“…Through an intensive comparison with present algorithms assessed in variety of performance evaluating metrics the present study emphasize the exceptional ability of proposed approach to accurately classify the different MI categories from the EEG signals and which is a great contribution to the field of BCI research field.…”
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Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning by Min Liang, Zhiwen Zhang, Langming Wu, Mafeng Chen, Shifan Tan, Jian Huang

“…Predictive models were built using Random Forest, XGBoost, Decision Trees, and Artificial Neural Networks, with their performance evaluated via metrics including the area under the receiver operating characteristic curve (AUC), calibration plots, brier score, and decision curve analysis (DCA). …”
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Preamble Design and Noncoherent ToA Estimation for Pulse-Based Wireless Networks-on-Chip Communications in the Terahertz Band by Pankaj Singh, Sung-Yoon Jung

“…A preamble design based on maximum pulse energy constraints is also presented. Performance evaluations demonstrate a synchronization probability exceeding <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.98</mn></mrow></semantics></math></inline-formula> for distances under 10 mm at a signal-to-noise ratio of 20 dB, with a normalized mean squared error below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></semantics></math></inline-formula>. …”
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FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs by Mustafa Tasci, Ayhan Istanbullu, Vedat Tumen, Selahattin Kosunalp

“…The outputs from the performance evaluations on Xilinx PYNQ Z1 development board proved the superiority of FPGA-QNN in terms of resource utilization and energy efficiency in comparison to several recent approaches. …”
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Striking the Balance: Evaluating Content Quality and Reward Dynamics in Blockchain Online Social Media by Davide Mancino, Barbara Guidi, Andrea Michienzi, Marco Viviani

“…By exploiting Steemit, one of the most well-known decentralized social media platforms based on blockchain, we construct a labeled dataset to both train and evaluate distinct configurations of the different feature sets in association with the considered classifiers. The performed evaluation shows the effectiveness of some of these configurations in identifying reward-worthy content, demonstrates that current reward systems are indeed unable through their mechanisms to promote actual quality content, and suggests the need for the development of further reward strategies allowing for better reward distribution and, ultimately, help pursue the original purpose of reward systems.…”
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A Fast Parallel Processing Algorithm for Triangle Collision Detection Based on AABB and Octree Space Slicing in Unity3D by Kunthroza Hor, Nak-Jun Sung, Jun Ma, Min-Hyung Choi, Min Hong

“…The proposed method utilizes Octree AABB-based GPU parallel processing to reduce the computational load of real-time collision detection simulations and to handle multiple computations simultaneously. Comparative performance evaluations demonstrate that our GPU-accelerated framework consistently reaches the fastest collision detection times from 1.01 to 45.62 times, respectively.…”
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Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks by Yongli Tang, Menghao Guo, Binyong Li, Kaixin Geng, Jinxia Yu, Baodong Qin

“…In this paper, we propose a novel <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>t</mi><mo>,</mo><mspace width="4.pt"></mspace><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>-threshold QHE (TQHE) network scheme based on the Shamir secret sharing protocol, which allows <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mspace width="4.pt"></mspace><mo>(</mo><mi>t</mi><mo>≤</mo><mi>k</mi><mo>≤</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> evaluators to collaboratively perform evaluation computation operations on each qubit within the shared encrypted sequence. …”
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Prediction analysis of human brucellosis cases in Ili Kazakh Autonomous Prefecture Xinjiang China based on time series by Lian Lu, Tongxia Yang, Zhisheng Chen, Qidi Ge, Jing Yang, Gan Sen

“…The results indicated that the occurrence of brucellosis exhibits pronounced seasonal patterns, with higher incidence during summer and autumn, peaking in June annually. Performance evaluations revealed low Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Symmetric Mean Absolute Percentage Error (SMAPE) for all three models. …”
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Performances and determinants of proficiency testing in clinical laboratory services at comprehensive specialized hospitals, northwest Ethiopia by Negesse Cherie, Teshiwal Deress, Maereg Wolde, Bisrat Birke Teketelew, Mebratu Tamir, Abiy Ayele Angelo, Amare Mekuanint Terekegne, Elias Chane, Mesele Nigus, Dereje Mengesha Berta, Kasaw Adane

“…Abstract Proficiency testing (PT) is an impartial laboratory performance-evaluating system using an independent body. It is a mandatory accreditation requirement and means for improving the laboratory’s performance. …”
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Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs by Yuchen Duan, Qingqing Zhou, Yu Li, Chi Qin, Ziyang Wang, Hongxing Kan, Hongxing Kan, Jili Hu, Jili Hu

“…The system’s performance, evaluated using the RAGAS framework, achieved high scores: 0.9375 in faithfulness, 0.9686 in answer relevancy, and 0.9500 in context recall; In human evaluations, the levels of safety and usability are significantly higher than those of LLMs without using RAG.DiscussionThe results demonstrate that integrating LLMs with a knowledge graph significantly enhances the efficiency and accuracy of retrieving TCM case information. …”
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Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model by Jian Ding, Jian Ding, Zheng Long, Yiming Liu, Min Wang

“…By comparing model performance, evaluating the classification ability and prediction accuracy of each method, and ultimately selecting the best model to construct a regression model and a nomogram. …”
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Unveiling Silent Atherosclerosis in Type 1 Diabetes: The Role of Glycoprotein and Lipoprotein Lipidomics, and Cardiac Autonomic Neuropathy by Sara de Lope Quiñones, Manuel Luque-Ramírez, Antonio Carlos Michael Fernández, Alejandra Quintero Tobar, Jhonatan Quiñones-Silva, María Ángeles Martínez García, María Insenser Nieto, Beatriz Dorado Avendaño, Héctor F. Escobar-Morreale, Lía Nattero-Chávez

“…Predictive models were built and their performance evaluated using receiver operating characteristic curves and cross-validation. …”
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Prediction of compressive strength and characteristics analysis of semi-flexible pavement desert sand grouting material based upon hybrid-BP neural network by Wenbang Zhu, Yuhang Li, Xiumei Zheng, Enze Hao, Dali Zhang, Zhen Wang

“…The predictive performance evaluative indices for compressive strength using GA - BPNN were R² = 0.93, MAE = 2.39, MAPE = 0.06, and RMSE = 3.18. …”
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NeuTox 2.0: A hybrid deep learning architecture for screening potential neurotoxicity of chemicals based on multimodal feature fusion by Xudi Pang, Xuejun He, Ying Yang, Ling Wang, Yuzhen Sun, Huiming Cao, Yong Liang

“…Comprehensive performance evaluations demonstrated that NeuTox 2.0 has relatively higher predictive capability across all statistical metrics. …”
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CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans by Raffaella Fiamma Cabini, Andrea Cozzi, Svenja Leu, Benedikt Thelen, Rolf Krause, Filippo Del Grande, Diego Ulisse Pizzagalli, Stefania Maria Rita Rizzo

“…Two U-nets were used to segment the axial slices, with performance evaluated through the volumetric Dice similarity coefficient (vDSC). …”
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