Update README.md

README.md

@@ -20,13 +20,20 @@ datasets:
 - TUAB
 - APAVA
 - TDBrain
+- MoBI
+- SEED-V
+- Mumtaz2016
+- MODMA
 metrics:
 - balanced_accuracy
 - roc_auc
 - pr_auc
+- r2
+- pearson_r
+- cohen_kappa
 thumbnail: https://raw.githubusercontent.com/pulp-bio/BioFoundation/refs/heads/main/docs/model/logo/LuMamba_logo.png
 model-index:
-  - name: LuMamba-Tiny
+  - name: LuMamba-Tiny (LeJEPA-reconstruction pre-training)
     results:
       - task:
           type: time-series-classification
@@ -70,6 +77,73 @@ model-index:
           - type: pr_auc
             value: 0.960
             name: AUC-PR
+      - task:
+          type: time-series-classification
+          name: Major Depressive Disorder Detection
+        dataset:
+          type: Mumtaz2016
+          name: Mumtaz2016
+        metrics:
+          - type: roc_auc
+            value: 0.931
+            name: AUROC
+          - type: pr_auc
+            value: 0.952
+            name: AUC-PR
+  - name: LuMamba-Tiny (Reconstruction-only pre-training)
+    results:
+      - task:
+          type: time-series-classification
+          name: EEG Slowing Event and Seizure Detection
+        dataset:
+          type: TUSL
+          name: TUH EEG Slowing Corpus (TUSL)
+        metrics:
+          - type: roc_auc
+            value: 0.708
+            name: AUROC
+          - type: pr_auc
+            value: 0.289
+            name: AUC-PR
+      - task:
+          type: time-series-classification
+          name: EEG Artifact Detection
+        dataset:
+          type: TUAR
+          name: TUH EEG Artifact Corpus (TUAR)
+        metrics:
+          - type: roc_auc
+            value: 0.914
+            name: AUROC
+          - type: pr_auc
+            value: 0.510
+            name: AUC-PR
+      - task:
+          type: time-series-classification
+          name: Gait Prediction Regression
+        dataset:
+          type: MoBI
+          name: MoBI
+        metrics:
+          - type: r2
+            value: 0.116
+            name: R squared
+          - type: rmse
+            value: 0.1482
+            name: Root Mean Squared Error
+      - task:
+          type: time-series-classification
+          name: 5-class Emotion Detection
+        dataset:
+          type: SEED-V
+          name: SEED-V
+        metrics:
+          - type: balanced_accuracy
+            value: 0.350
+            name: Balanced Accuracy (%)
+          - type: cohen_kappa
+            value: 0.191
+            name: Cohen's Kappa
 ---
 <div align="center">
   <img src="https://raw.githubusercontent.com/pulp-bio/BioFoundation/refs/heads/main/docs/model/logo/LuMamba_logo.png" alt="LuMamba Logo" width="800"/>