AI model training needs are changing, with subject experts pushing aside generalist data labelers

HireArt's 2025 compensation report took a deep look at how much data annotators get paid. It's a fascinating window into how ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
IEEE

Uni4Eye++: A General Masked Image Modeling Multi-Modal Pre-Training Framework for Ophthalmic Image Classification and Segmentation

Abstract: A large-scale labeled dataset is a key factor for the success of supervised deep learning in most ophthalmic image analysis scenarios. However, limited annotated data is very common in ...
IEEE

Alignment and Fusion Using Distinct Sensor Data for Multimodal Aerial Scene Classification

Abstract: Multimodal sensors offer a wealth of rich and diverse data, which is helpful for classifying similar and complex aerial scenes. However, the heterogeneity of the data collected from ...