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Proposed architecture of 1D CNN.

Journal: Dialogues in Clinical Neuroscience

Article Title: Deep learning with ensemble-based hybrid AI model for bipolar and unipolar depression detection using demographic and behavioral based on time-series data

doi: 10.1080/19585969.2025.2524337

Figure Lengend Snippet: Proposed architecture of 1D CNN.

Article Snippet: We compared the following model configurations: Model A: XGBoost (structured data only) Model B: 1D CNN (actigraph data only) Model C: Hybrid Model (fusion of XGBoost and 1D CNN) Each model was evaluated across 5-fold stratified cross-validation, and the F1-score was used as the primary performance metric.

Techniques: