ZivaHub + Deakin Research Online + DMU Figshare2026 · dataset
Supplementary InformationSupplementary Information: Section S1: Comparative experiments across multiple representative single-frame fringe pattern analysis methods; Section S2: Ablation studies for the unsupervised fringe analysis network; Section S3: Network architecture.
ZivaHub2026 · dataset
Rabia Rao: EAIP-DARV: Ensemble AI for Early Autism Screening & Referral Support<p dir="ltr">Autism screening can be challenging when families face limited access, long pathways, cost barriers, and uncertainty about next steps. This research presents EAIP-DARV, an ensemble AI framework designed to support early autism screening and referral. The system integrates complementary AI models for screening, assessment, and correlation analysis, combining their predictions through a
REDU - Unicamp Institutional Research Data Repository2026 · dataset · unknown
Resultados dos experimentos de busca de hiperparâmetros no One Class SVMOs arquivos contem os resultados dos experimentos com todos os algoritmos implementados em todos os cenários avaliados. Algoritmos que geram os hiperparâmetros do One Class SVM: - Tax - Xiao - Theissler - Wang - Ghafoori - Yu Métricas: - Acurácia na classe anômala - Acurácia na classe normal - F1 Score - MCC - ROC AUC Cenários: - Fixando o valor do hiiperparâmetro "nu" - Usando o valor do hiperpar
TU Wien Research Data2024 · dataset
SDOstreamclust: Stream Clustering Robust to Concept Drift - Evaluation TestsSDOstreamclust Evaluation Tests conducted for the paper: Stream Clustering Robust to Concept Drift. Please refer to: Iglesias Vazquez, F., Konzett, S., Zseby, T., & Bifet, A. (2025). Stream Clustering Robust to Concept Drift. In 2025 International Joint Conference on Neural Networks (IJCNN) (pp. 1–10). IEEE. https://doi.org/10.1109/IJCNN64981.2025.11227664 Context and methodology SDOstreamclust is