Bolstering Performance Evaluation of Image Segmentation Models With Efficacy Metrics in the Absence of a Gold Standard.

Pedagogical Interventions in SPOCs: Learning Behavior Dashboards and Knowledge Tracing Support Exercise Recommendation.

Coupling Random Forest, Allometric Scaling, and Cellular Automata to Predict the Evolution of LULC under Various Shared Socioeconomic Pathways.

A transformer-based network for speech recognition.

Diagnosis of hepatocellular carcinoma using deep network with multi-view enhanced patterns mined in contrast-enhanced ultrasound data.

Strengthening Machine Learning Reproducibility for Image Classification.

Quantifying Spatiotemporal Changes in Human Activities Induced by COVID-19 Pandemic Using Daily Nighttime Light Data.

Introducing Image Classification Efficacies.

A Machine Learning-Based Classification System for Urban Built-Up Areas Using Multiple Classifiers and Data Sources.

BDD-Net: A General Protocol for Mapping Buildings Damaged by a Wide Range of Disasters Based on Satellite Imagery.

Rapid Assessment of a Typhoon Disaster Based on NPP-VIIRS DNB Daily Data: The Case of an Urban Agglomeration along Western Taiwan Straits, China.

An Effective Recommendation Algorithm Based on Multi-Source Information.

Influence of Ecological Factors on Estimation of Impervious Surface Area Using Landsat 8 Imagery.

A Feature-Based Approach of Decision Tree Classification to Map Time Series Urban Land Use and Land Cover with Landsat 5 TM and Landsat 8 OLI in a Coastal City, China.

Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations.

Identification of Chinese Herbs Using a Sequencing-Free Nanostructured Electrochemical DNA Biosensor.

A neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence.

A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China.