| a |
| alignment | SSA: a novel method for Single-cell and Spatial transcriptomics Alignment |
| alpha-helices interaction | TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer |
| Attention-Deficit/Hyperactivity Disorder (ADHD) | Machine Learning-Based Automated Detection of ADHD Using Heart Rate Variability Data |
| b |
| biological relationship inference | Fast Dual-Regularized Autoencoder for Sparse Biological Data |
| c |
| Chemical Master Equation | Case-Studies of Parameter Estimation in the Stochastic Reaction-Diffusion Master Equation |
| contact map | TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer |
| Continual Learning | Generalized Deep Learning Models for COVID-19 Detection with Transfer and Continual Learning |
| Convolutional Neural Networks (CNN) | AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| COVID-19 | COVID-19 Epidemic Model Including Unreported Cases and Environmental Fluctuations |
| COVID-19 detection | Generalized Deep Learning Models for COVID-19 Detection with Transfer and Continual Learning |
| d |
| deep learning | Generalized Deep Learning Models for COVID-19 Detection with Transfer and Continual Learning
AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| Diabetic Retinopathy | AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| Disease clustering | Disease Clustering with Process Annotations from Gene Ontology |
| Disease process annotation | Disease Clustering with Process Annotations from Gene Ontology |
| drug repurposing | Fast Dual-Regularized Autoencoder for Sparse Biological Data |
| drug-target interactions | Fast Dual-Regularized Autoencoder for Sparse Biological Data |
| e |
| ecosystem | A simulation study on the sustainability of an ecosystem |
| Environmental Fluctuations | COVID-19 Epidemic Model Including Unreported Cases and Environmental Fluctuations |
| epidemic model | COVID-19 Epidemic Model Including Unreported Cases and Environmental Fluctuations |
| Explainable AI (XAI) | AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| f |
| finite state projection | Case-Studies of Parameter Estimation in the Stochastic Reaction-Diffusion Master Equation |
| food chain | A simulation study on the sustainability of an ecosystem |
| Fundus Imaging | AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| g |
| Grad-CAM | AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| Grad-CAM++ | AI-Driven Diagnostics in Ophthalmology: Tailored Deep Learning Models for Diabetic Retinopathy with XAI Insights |
| h |
| Health Informatics | TRAPS - A Visual Analytics System for Public Health Surveillance |
| Health Information System | TRAPS - A Visual Analytics System for Public Health Surveillance |
| heart rate variability | Machine Learning-Based Automated Detection of ADHD Using Heart Rate Variability Data |
| human disease analysis | Disease Clustering with Process Annotations from Gene Ontology |
| m |
| machine learning | Machine Learning-Based Automated Detection of ADHD Using Heart Rate Variability Data |
| p |
| parameter estimation | Case-Studies of Parameter Estimation in the Stochastic Reaction-Diffusion Master Equation |
| population dynamics | A simulation study on the sustainability of an ecosystem |
| Predator and prey | A simulation study on the sustainability of an ecosystem |
| Preventive Health | TRAPS - A Visual Analytics System for Public Health Surveillance |
| program evaluation | TRAPS - A Visual Analytics System for Public Health Surveillance |
| protein 3D structure | TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer |
| public health | TRAPS - A Visual Analytics System for Public Health Surveillance |
| public health surveillance | TRAPS - A Visual Analytics System for Public Health Surveillance |
| r |
| reaction-diffusion master equation | Case-Studies of Parameter Estimation in the Stochastic Reaction-Diffusion Master Equation |
| Recommender Systems | Fast Dual-Regularized Autoencoder for Sparse Biological Data |
| residue-residue interaction | TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer |
| s |
| scRNA-seq | SSA: a novel method for Single-cell and Spatial transcriptomics Alignment |
| sequencing | SSA: a novel method for Single-cell and Spatial transcriptomics Alignment |
| simulation | A simulation study on the sustainability of an ecosystem |
| sparse matrix completion | Fast Dual-Regularized Autoencoder for Sparse Biological Data |
| spatial transcriptomics | SSA: a novel method for Single-cell and Spatial transcriptomics Alignment |
| stochastic biochemical models | Case-Studies of Parameter Estimation in the Stochastic Reaction-Diffusion Master Equation |
| stochastic noise | COVID-19 Epidemic Model Including Unreported Cases and Environmental Fluctuations |
| t |
| TMHC-MSAT | TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer |
| Tobacco Cessation Programs | TRAPS - A Visual Analytics System for Public Health Surveillance |
| tobacco control | TRAPS - A Visual Analytics System for Public Health Surveillance |
| Tobacco Surveillance | TRAPS - A Visual Analytics System for Public Health Surveillance |
| Transfer Learning | Generalized Deep Learning Models for COVID-19 Detection with Transfer and Continual Learning |
| transmembrane proteins | TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer |
| u |
| Unreported Cases | COVID-19 Epidemic Model Including Unreported Cases and Environmental Fluctuations |
| v |
| visual analytics | TRAPS - A Visual Analytics System for Public Health Surveillance |
