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@@ -28,10 +28,26 @@
 		<td class="auto-style1" style="width: 149px"><strong>Accuracy</strong></td>
 		<td class="auto-style1" style="width: 257px"><strong>Model</strong></td>
 		<td class="auto-style1" style="width: 340px"><strong>DataSet</strong></td>
-		<td class="auto-style1" style="width: 495px"><strong>Who</strong></td>
+		<td class="auto-style1" style="width: 495px"><strong>Who?</strong></td>
 		<td class="auto-style1" style="width: 228px"><strong>Paper</strong></td>
 		<td class="auto-style1"><strong>Code</strong></td>
 	</tr>
+	<tr>
+		<td class="auto-style2" style="width: 149px">98.97% *<br>89.62% **</td>
+		<td class="auto-style2" style="width: 257px">BrainDigiCNN</td>
+		<td class="auto-style2" style="width: 340px">
+		<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
+		MindBigData2022_MNIST_EP</a> *<br>
+		<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN">MindBigData2022_MNIST_IN</a> **</td>
+		<td class="auto-style2" style="width: 495px">Smita Tiwari, Shivani Goel and Arpit Bhardwaj </td>
+		<td class="auto-style2" style="width: 228px">
+		<a href="https://link.springer.com/article/10.1007/s13369-022-07313-3" target="_blank">
+		abst</a> 🔒</td>
+		<td class="auto-style2">n/a</td>
+	</tr>
+
+	
+	
 	<tr>
 		<td class="auto-style2" style="width: 149px">95.4%</td>
 		<td class="auto-style2" style="width: 257px">CNN-GAN</td>
@@ -47,16 +63,48 @@
 		<td class="auto-style2">n/a</td>
 	</tr>
 	<tr>
-		<td style="width: 149px">&nbsp;</td>
-		<td style="width: 257px">&nbsp;</td>
-		<td style="width: 340px">&nbsp;</td>
-		<td style="width: 495px">&nbsp;</td>
-		<td style="width: 228px">&nbsp;</td>
-		<td>&nbsp;</td>
+		<td style="width: 149px" class="auto-style2">88%</td>
+		<td style="width: 257px" class="auto-style2">R-CNN</td>
+		<td style="width: 340px" class="auto-style2">
+		<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_IN" target="_blank">MindBigData2022_MNIST_MU</a></td>
+		<td style="width: 495px" class="auto-style2">Andrew Perez</td>
+		<td style="width: 228px" class="auto-style2">
+		<a href="https://colab.research.google.com/drive/1q1mvIC1xgEuPNNvgASrAG7zie3qRjr-8" target="_blank">
+		colab</a></td>
+		<td style="height: 22px" class="auto-style2">yes</td>
+	</tr>
+	
+
+		<tr>
+		<td class="auto-style2" style="width: 149px">73,54% *<br>72.91% **<br>
+		72,39% ***<br></td>
+		<td class="auto-style2" style="width: 257px">CNN* LSTM** DNN***</td>
+		<td class="auto-style2" style="width: 340px">
+		<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
+		MindBigData2022_Imagenet_IN</a></td>
+		<td class="auto-style2" style="width: 495px">Saumya Kushwaha, Priyanka Jain and N. K. Jain</td>
+		<td class="auto-style2" style="width: 228px">
+		<a href="https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=4679500355112375870" target="_blank">
+		book 🔒</a></td>
+		<td class="auto-style2">n/a</td>
 	</tr>
-</table>
 
+	
+		<tr>
+		<td class="auto-style2" style="width: 149px">16.69%</td>
+		<td class="auto-style2" style="width: 257px">EEGNet-8,2</td>
+		<td class="auto-style2" style="width: 340px">
+		<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
+		MindBigData2022_MNIST_EP</a></td>
+		<td class="auto-style2" style="width: 495px">Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan and Philipp Geyer</td>
+		<td class="auto-style2" style="width: 228px">
+		<a href="https://arxiv.org/pdf/2207.12369.pdf" target="_blank">
+		pdf</a></td>
+		<td class="auto-style2">n/a</td>
+	</tr>
 
+	
+</table>