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<h1 id="space-title">🌟 MindBigData Leaderboard 🌟</h1>
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📐 The 🤗 Open MindBigData Leaderboard aims to track, rank and evaluate
Brain EEG models related to the papers:<br>
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN" target="_blank">
📝MindBigData 2022 A Large Dataset of Brain Signals</a> and
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-8B" target="_blank">
📝MindBigData2023_MNIST-8B </a> <br>🚀 Submit a model or paper in
the community tab (Accuracy shown is multiclass prediction)<br><br></div>
<table style="width: 100%" class="auto-style3">
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<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: 228px"><strong>Paper</strong></td>
<td class="auto-style1"><strong>Code</strong></td>
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<td class="auto-style4" style="width: 149px"><strong>98.97%</strong> *<br>
<strong>89.62%</strong> **</td>
<td class="auto-style4" style="width: 257px">BrainDigiCNN</td>
<td class="auto-style4" 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-style4" style="width: 495px">Smita Tiwari, Shivani Goel and Arpit Bhardwaj </td>
<td class="auto-style4" style="width: 228px">
<a href="https://link.springer.com/article/10.1007/s13369-022-07313-3" target="_blank">
abs</a> 🔒</td>
<td class="auto-style4">n/a</td>
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<td class="auto-style4" style="width: 149px"><strong>96.18%</strong> *<br>71.60% **</td>
<td class="auto-style4" style="width: 257px">RNN</td>
<td class="auto-style4" style="width: 340px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a>
*<br>
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a> **</td>
<td class="auto-style4" style="width: 495px">Nrushingh Charan Mahapatra and Prachet Bhuyan</td>
<td class="auto-style4" style="width: 228px">
<a href="https://iopscience.iop.org/article/10.1088/1741-2552/acc976/meta" target="_blank">
abs</a> 🔒</td>
<td class="auto-style4">n/a</td>
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<td class="auto-style4" style="width: 149px">95.4%</td>
<td class="auto-style4" style="width: 257px">CNN-GAN</td>
<td class="auto-style4" style="width: 340px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a></td>
<td class="auto-style4" style="width: 495px">Nastaran Khaleghi,
Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, Sobhan
Sheykhivand and Sebelan Danishvar</td>
<td class="auto-style4" style="width: 228px">
<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10708586/pdf/sensors-23-09351.pdf" target="_blank">
pdf</a></td>
<td class="auto-style4">n/a</td>
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<td style="width: 149px" class="auto-style4">88%</td>
<td style="width: 257px" class="auto-style4">R-CNN</td>
<td style="width: 340px" class="auto-style4">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a></td>
<td style="width: 495px" class="auto-style4">Andrew Perez</td>
<td style="width: 228px" class="auto-style4">
<a href="https://colab.research.google.com/drive/1q1mvIC1xgEuPNNvgASrAG7zie3qRjr-8" target="_blank">
colab</a></td>
<td style="height: 22px" class="auto-style4">yes</td>
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<td class="auto-style4" style="width: 149px"><strong>73.54%</strong> *<br>72.91% **<br>
72.39% ***<br></td>
<td class="auto-style4" style="width: 257px">CNN* <br>LSTM** <br>DNN***</td>
<td class="auto-style4" style="width: 340px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_Imagenet_IN</a></td>
<td class="auto-style4" style="width: 495px">Saumya Kushwaha, Priyanka Jain and N. K. Jain</td>
<td class="auto-style4" style="width: 228px">
<a href="https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=4679500355112375870" target="_blank">
book</a> 🔒</td>
<td class="auto-style4">n/a</td>
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<td class="auto-style4" style="width: 149px">70%</td>
<td class="auto-style4" style="width: 257px">CNN</td>
<td class="auto-style4" style="width: 340px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a></td>
<td class="auto-style4" style="width: 495px">Rahul Mishra, Krishan Sharma, Arnav Bhavsar</td>
<td class="auto-style4" style="width: 228px">
<a href="https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001226.pdf" target="_blank">
pdf</a></td>
<td class="auto-style4">n/a</td>
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<td class="auto-style4" style="width: 149px"><strong>19.42%</strong> *<br>17.72% **</td>
<td class="auto-style4" style="width: 257px">Transformer</td>
<td class="auto-style4" 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_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a> **
</td>
<td class="auto-style4" style="width: 495px">Omkar Muglikar</td>
<td class="auto-style4" style="width: 228px">
<a href="https://keep.lib.asu.edu/system/files/c7/Muglikar_asu_0010N_21413.pdf" target="_blank">
pdf</a></td>
<td class="auto-style4">n/a</td>
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<td class="auto-style4" style="width: 149px">16,69%</td>
<td class="auto-style4" style="width: 257px">EEGNet-8,2</td>
<td class="auto-style4" style="width: 340px">
<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
MindBigData2022_MNIST_EP</a></td>
<td class="auto-style4" style="width: 495px">Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan and Philipp Geyer</td>
<td class="auto-style4" style="width: 228px">
<a href="https://arxiv.org/pdf/2207.12369.pdf" target="_blank">
pdf</a></td>
<td class="auto-style4">n/a</td>
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