442 results on '"Le, Nguyen‐Quoc‐Khanh"'
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2. Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation
3. Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis
4. MASPP and MWASP: multi-head self-attention based modules for UNet network in melon spot segmentation
5. Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO/OTA Classification
6. Hematoma expansion prediction: still navigating the intersection of deep learning and radiomics
7. RF-Lung-DR: Integrating Biological and Drug SMILES Features in a Random Forest-Based Drug Response Predictor for Lung Cancer Cell Lines
8. SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation
9. Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine
10. Non-destructive classification of melon sweetness levels using segmented rind properties based on semantic segmentation models
11. Application of data science and bioinformatics in RNA therapeutics
12. A transfer learning approach on MRI-based radiomics signature for overall survival prediction of low-grade and high-grade gliomas
13. Development and validation of a machine learning model for predicting drug-drug interactions with oral diabetes medications
14. Enhancing Arabidopsis thaliana ubiquitination site prediction through knowledge distillation and natural language processing
15. Unitig-centered pan-genome machine learning approach for predicting antibiotic resistance and discovering novel resistance genes in bacterial strains
16. Using a hybrid neural network architecture for DNA sequence representation: A study on [formula omitted]-methylcytosine sites
17. Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer
18. Prevalence and determinants of constipation in children in Asia: a systematic review and meta-analysis
19. Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing
20. A computational predictor for autophagy-related proteins using interpretable machine learning and genetic algorithm
21. Enhanced Prediction of mRNA Subcellular Localization Using a Novel Ensemble Learning and Hybrid Approach
22. Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites
23. Predicting EGFR Mutation Status in Non–Small Cell Lung Cancer Using Artificial Intelligence: A Systematic Review and Meta-Analysis
24. VF-Pred: Predicting virulence factor using sequence alignment percentage and ensemble learning models
25. Predicting emerging drug interactions using GNNs
26. Hyper-methylation of ABCG1 as an epigenetics biomarker in non-small cell lung cancer
27. Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app
28. Diffusion-tensor imaging and dynamic susceptibility contrast MRIs improve radiomics-based machine learning model of MGMT promoter methylation status in glioblastomas
29. Prospective role and immunotherapeutic targets of sideroflexin protein family in lung adenocarcinoma: evidence from bioinformatics validation
30. 4-D Memristive Chaotic Systems-Based Audio Secure Communication Using Dual-Function-Link Fuzzy Brain Emotional Controller
31. Enhanced Prediction of mRNA Subcellular Localization Using a Novel Ensemble Learning and Hybrid Approach
32. Improved prediction of drug-drug interactions using ensemble deep neural networks
33. MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method
34. ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis
35. BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection
36. Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach
37. On the road to explainable AI in drug-drug interactions prediction: A systematic review
38. Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems
39. Using k-mer embeddings learned from a Skip-gram based neural network for building a cross-species DNA N6-methyladenine site prediction model
40. Recent progress in machine learning approaches for predicting carcinogenicity in drug development
41. Using a hybrid neural network architecture for DNA sequence representation: A study on N4-methylcytosine sites
42. Identification of gene expression signatures for psoriasis classification using machine learning techniques
43. Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI
44. Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels
45. Exploiting Two-Layer Support Vector Machine to Predict Protein SUMOylation Sites
46. Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites
47. Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features
48. DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes
49. Liver abscess caused by the ingested foreign body without sign of gastrointestinal perforation: A case report
50. A sequence-based approach for identifying recombination spots in Saccharomyces cerevisiae by using hyper-parameter optimization in FastText and support vector machine
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