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Detection of statistically significant network changes in complex biological networks
Published 2017“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Published 2022“…We also present a case-study of our model’s interpretability illustrating how clinicians can gain some transparency into the predictions.…”
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Predicting stability of classes in an object-oriented system
Published 2010“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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Inverse Model Predictive Control for Power Electronic Converters
Published 2024“…<p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. …”
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Prediction of the Backwater Level Due to Bridge Constriction in Waterways
Published 2019Get full text
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Role of nutritional indices in predicting outcomes of vascular surgery
Published 2019“…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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Forecasting model to predict project success based on the contractors’ characteristics
Published 2018Get full text
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Transfer learning for genotype–phenotype prediction using deep learning models
Published 2022“…This manuscript illustrated that transfer learning is applicable for genotype data and genotype-phenotype prediction. Results Using HAPGEN2 and PhenotypeSimulator, we generated eight phenotypes for 500 cases/500 controls (CEU, large population) and 100 cases/100 controls (YRI, small populations). …”
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Contrasting and Predicting Social Media’s Role in Addictive Use and Well-Being
Published 2025“…Competence in using social media significantly predicted both PSMU and SM-WB in the Arab sample. …”
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Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes
Published 2021“…PPBP and THBS1 tended to increase at hypoglycemia in both cohorts, though reached significance only in controls (p < 0.05), returning to BL levels post-hypoglycemia. …”
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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger
Published 2025“…Focusing on the Cryogenic Heat Exchanger (CHE) as a case study, an essential component of liquefaction, the framework integrates digital twins (DT), machine learning (ML), and predictive model to enable real-time monitoring, early failure detection, and proactive mitigation. …”
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The effect of CEO ownership & CEO entrenchment on firm value. (c2011)
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5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach
Published 2025“…<p dir="ltr">The advent of Fifth-Generation (5G) networks has introduced significant security challenges due to increased complexity and diverse use cases. …”
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Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases
Published 2010“…When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
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