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<table style="width: 100%" class="auto-style3">
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<tr>
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<td class="auto-style1" style="width: 149px"><strong>Accuracy</strong></td>
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<td class="auto-style1" style="width:
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<td class="auto-style1" style="width:
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<td class="auto-style1" style="width: 495px"><strong>Who?</strong></td>
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<td class="auto-style1" style="width: 228px"><strong>Paper</strong></td>
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<td class="auto-style1"><strong>Code</strong></td>
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<tr>
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<td class="auto-style4" style="width: 149px"><strong>98.97%</strong> *<br>
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<strong>89.62%</strong> **</td>
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<td class="auto-style4" style="width:
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<td class="auto-style4" style="width:
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> *<br>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN">MindBigData2022_MNIST_IN</a> **</td>
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<td class="auto-style4" style="width: 495px">Smita Tiwari, Shivani Goel and Arpit Bhardwaj </td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://link.springer.com/article/10.1007/s13369-022-07313-3" target="_blank">
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abs</a>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px"><strong>96.18%</strong> *<br>71.60% **</td>
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<td class="auto-style4" style="width:
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<td class="auto-style4" style="width:
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a>
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*<br>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> **</td>
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<td class="auto-style4" style="width: 495px">Nrushingh Charan Mahapatra and Prachet Bhuyan</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://iopscience.iop.org/article/10.1088/1741-2552/acc976/meta" target="_blank">
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abs</a>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">95.4%</td>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a
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<td class="auto-style4" style="width: 495px">Nastaran Khaleghi,
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Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, Sobhan
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Sheykhivand and Sebelan Danishvar</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10708586/pdf/sensors-23-09351.pdf" target="_blank">
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pdf</a
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td style="width: 149px" class="auto-style4">88%</td>
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<td style="width:
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<td style="width:
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a
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<td style="width: 495px" class="auto-style4">Andrew Perez</td>
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<td style="width: 228px" class="auto-style4">
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<a href="https://colab.research.google.com/drive/1q1mvIC1xgEuPNNvgASrAG7zie3qRjr-8" target="_blank">
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colab</a
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<td style="height: 22px" class="auto-style4">yes</td>
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</tr>
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<td class="auto-style4" style="width: 149px"><strong>73.54%</strong> *<br>72.91% **<br>
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72.39% ***<br></td>
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<a href="https://huggingface.co/datasets/DavidVivancos/
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MindBigData2022_Imagenet_IN</a
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<td class="auto-style4" style="width: 495px">Saumya Kushwaha, Priyanka Jain and N. K. Jain</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=4679500355112375870" target="_blank">
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book</a>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">70%</td>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a
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<td class="auto-style4" style="width: 495px">Rahul Mishra, Krishan Sharma, Arnav Bhavsar</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001226.pdf" target="_blank">
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pdf</a
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<td class="auto-style4">n/a</td>
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</tr>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> *
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<br>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a> **
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</td>
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<td class="auto-style4" style="width: 495px">Omkar Muglikar</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://keep.lib.asu.edu/system/files/c7/Muglikar_asu_0010N_21413.pdf" target="_blank">
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pdf</a
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">16,69%</td>
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<td class="auto-style4" style="width:
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<td class="auto-style4" style="width:
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a
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<td class="auto-style4" style="width: 495px">Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan and Philipp Geyer</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://arxiv.org/pdf/2207.12369.pdf" target="_blank">
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pdf</a
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<td class="auto-style4">n/a</td>
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</tr>
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</table>
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</body>
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</html>
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}
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border-left: 1px solid #C0C0C0;
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</style>
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</head>
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<table style="width: 100%" class="auto-style3">
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<tr>
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<td class="auto-style1" style="width: 149px"><strong>Accuracy</strong></td>
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<td class="auto-style1" style="width: 239px"><strong>Model</strong></td>
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<td class="auto-style1" style="width: 459px"><strong>DataSet</strong></td>
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<td class="auto-style1" style="width: 495px"><strong>Who?</strong></td>
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<td class="auto-style1" style="width: 228px"><strong>Paper</strong></td>
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<td class="auto-style1"><strong>Code</strong></td>
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<tr>
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<td class="auto-style4" style="width: 149px"><strong>98.97%</strong> *<br>
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<strong>89.62%</strong> **</td>
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<td class="auto-style4" style="width: 239px">BrainDigiCNN</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> [3Gb] *<br>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN">MindBigData2022_MNIST_IN</a> [201Mb] **</td>
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<td class="auto-style4" style="width: 495px">Smita Tiwari, Shivani Goel and Arpit Bhardwaj </td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://link.springer.com/article/10.1007/s13369-022-07313-3" target="_blank">
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abs</a> π 2023</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px"><strong>96.18%</strong> *<br>71.60% **</td>
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<td class="auto-style4" style="width: 239px">RNN</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb]
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*<br>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> [3Gb] **</td>
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<td class="auto-style4" style="width: 495px">Nrushingh Charan Mahapatra and Prachet Bhuyan</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://iopscience.iop.org/article/10.1088/1741-2552/acc976/meta" target="_blank">
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+
abs</a> π 2023</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">95.4%</td>
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<td class="auto-style4" style="width: 239px">CNN-GAN</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> [3Gb]</td>
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<td class="auto-style4" style="width: 495px">Nastaran Khaleghi,
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Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, Sobhan
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Sheykhivand and Sebelan Danishvar</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10708586/pdf/sensors-23-09351.pdf" target="_blank">
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pdf</a> 2023</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td style="width: 149px" class="auto-style4">88%</td>
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<td style="width: 239px" class="auto-style4">R-CNN</td>
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<td style="width: 459px" class="auto-style4">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb]</td>
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<td style="width: 495px" class="auto-style4">Andrew Perez</td>
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<td style="width: 228px" class="auto-style4">
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<a href="https://colab.research.google.com/drive/1q1mvIC1xgEuPNNvgASrAG7zie3qRjr-8" target="_blank">
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colab</a> 2023</td>
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<td style="height: 22px" class="auto-style4">yes</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px"><strong>73.54%</strong> *<br>72.91% **<br>
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72.39% ***<br></td>
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<td class="auto-style4" style="width: 239px">CNN* <br>LSTM** <br>DNN***</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_IN" target="_blank">
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MindBigData2022_Imagenet_IN</a> [201Mb]</td>
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<td class="auto-style4" style="width: 495px">Saumya Kushwaha, Priyanka Jain and N. K. Jain</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=4679500355112375870" target="_blank">
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book</a> π 2023</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">70%</td>
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<td class="auto-style4" style="width: 239px">CNN</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> [3Gb]</td>
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<td class="auto-style4" style="width: 495px">Rahul Mishra, Krishan Sharma, Arnav Bhavsar</td>
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<td class="auto-style4" style="width: 228px">
|
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<a href="https://eurasip.org/Proceedings/Eusipco/Eusipco2021/pdfs/0001226.pdf" target="_blank">
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pdf</a> 2021</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">19.42% *<br>17.72% **</td>
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<td class="auto-style4" style="width: 239px">Transformer</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> [3Gb] *
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<br>
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_MU" target="_blank">MindBigData2022_MNIST_MU</a> [289Mb] **
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</td>
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<td class="auto-style4" style="width: 495px">Omkar Muglikar</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://keep.lib.asu.edu/system/files/c7/Muglikar_asu_0010N_21413.pdf" target="_blank">
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pdf</a> 2021</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<tr>
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<td class="auto-style4" style="width: 149px">16,69%</td>
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<td class="auto-style4" style="width: 239px">EEGNet-8,2</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_EP" target="_blank">
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MindBigData2022_MNIST_EP</a> [3Gb]</td>
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<td class="auto-style4" style="width: 495px">Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan and Philipp Geyer</td>
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<td class="auto-style4" style="width: 228px">
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<a href="https://arxiv.org/pdf/2207.12369.pdf" target="_blank">
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pdf</a> 2023</td>
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<td class="auto-style4">n/a</td>
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</tr>
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<td class="auto-style4" style="width: 149px">???</td>
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<td class="auto-style4" style="width: 239px">????</td>
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<td class="auto-style4" style="width: 459px">
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-8B" target="_blank">
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198 |
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MindBigData2023_MNIST-8B</a> [52Gb]</td>
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199 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
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200 |
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your model</td>
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201 |
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<td class="auto-style4" style="width: 228px">
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???</td>
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<td class="auto-style4">???</td>
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<td class="auto-style4" style="width: 149px">???</td>
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<td class="auto-style4" style="width: 239px">????</td>
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210 |
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<td class="auto-style4" style="width: 459px">
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211 |
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2023_MNIST-2B" target="_blank">
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212 |
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MindBigData2023_MNIST-2B</a> [14Gb]</td>
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213 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
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214 |
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your model</td>
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215 |
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<td class="auto-style4" style="width: 228px">
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216 |
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???</td>
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217 |
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<td class="auto-style4">???</td>
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<td class="auto-style4" style="width: 149px">???</td>
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<td class="auto-style4" style="width: 239px">????</td>
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223 |
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<td class="auto-style4" style="width: 459px">
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224 |
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_Cap64_Morlet" target="_blank">
|
225 |
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MindBigData2022_VisMNIST_Cap64_Morlet</a> [2Gb] </td>
|
226 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
|
227 |
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your model</td>
|
228 |
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<td class="auto-style4" style="width: 228px">
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229 |
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???</td>
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230 |
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<td class="auto-style4">???</td>
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<td class="auto-style4" style="width: 149px">???</td>
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236 |
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<td class="auto-style4" style="width: 239px">????</td>
|
237 |
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<td class="auto-style4" style="width: 459px">
|
238 |
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_Cap64" target="_blank">
|
239 |
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MindBigData2022_VisMNIST_Cap64</a> [544Mb] </td>
|
240 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
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241 |
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your model</td>
|
242 |
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<td class="auto-style4" style="width: 228px">
|
243 |
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???</td>
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244 |
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<td class="auto-style4">???</td>
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</tr>
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248 |
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249 |
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<td class="auto-style4" style="width: 149px">???</td>
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<td class="auto-style4" style="width: 239px">????</td>
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251 |
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<td class="auto-style4" style="width: 459px">
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252 |
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_VisMNIST_MU2" target="_blank">
|
253 |
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MindBigData2022_VisMNIST_MU2</a> [3Gb]</td>
|
254 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
|
255 |
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your model</td>
|
256 |
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<td class="auto-style4" style="width: 228px">
|
257 |
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???</td>
|
258 |
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<td class="auto-style4">???</td>
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</tr>
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262 |
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<td class="auto-style4" style="width: 149px">???</td>
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263 |
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<td class="auto-style4" style="width: 239px">????</td>
|
264 |
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<td class="auto-style4" style="width: 459px">
|
265 |
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_Imagenet_IN_Spct" target="_blank">
|
266 |
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MindBigData2022_Imagenet_IN_Spct</a> [3Gb] </td>
|
267 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
|
268 |
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your model</td>
|
269 |
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<td class="auto-style4" style="width: 228px">
|
270 |
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???</td>
|
271 |
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<td class="auto-style4">???</td>
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272 |
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</tr>
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273 |
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274 |
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|
275 |
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<tr>
|
276 |
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<td class="auto-style4" style="width: 149px">???</td>
|
277 |
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<td class="auto-style4" style="width: 239px">????</td>
|
278 |
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<td class="auto-style4" style="width: 459px">
|
279 |
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<a href="https://huggingface.co/datasets/DavidVivancos/MindBigData2022_MNIST_MW" target="_blank">
|
280 |
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MindBigData2022_MNIST_MW</a> [217Mb] </td>
|
281 |
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<td class="auto-style5" style="width: 495px"> no entries yet > Submit
|
282 |
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your model</td>
|
283 |
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<td class="auto-style4" style="width: 228px">
|
284 |
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???</td>
|
285 |
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<td class="auto-style4">???</td>
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