Summary of Parkinson’s Disease Classification Via Eeg: All You Need Is a Single Convolutional Layer, by Md Fahim Anjum
Parkinson’s Disease Classification via EEG: All You Need is a Single Convolutional Layerby Md Fahim…
Summary of Area Under the Roc Curve Has the Most Consistent Evaluation For Binary Classification, by Jing Li
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classificationby Jing LiFirst…
Summary of Active Learning For Identifying Disaster-related Tweets: a Comparison with Keyword Filtering and Generic Fine-tuning, by David Hanny et al.
Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuningby David…
Summary of On the Necessity Of World Knowledge For Mitigating Missing Labels in Extreme Classification, by Jatin Prakash et al.
On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classificationby Jatin Prakash,…
Summary of Attention Is Not What You Need: Revisiting Multi-instance Learning For Whole Slide Image Classification, by Xin Liu et al.
Attention Is Not What You Need: Revisiting Multi-Instance Learning for Whole Slide Image Classificationby Xin…
Summary of Reparameterized Multi-resolution Convolutions For Long Sequence Modelling, by Harry Jake Cunningham et al.
Reparameterized Multi-Resolution Convolutions for Long Sequence Modellingby Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc…
Summary of Advances in Multiple Instance Learning For Whole Slide Image Analysis: Techniques, Challenges, and Future Directions, by Jun Wang et al.
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directionsby…
Summary of Leveraging Invariant Principle For Heterophilic Graph Structure Distribution Shifts, by Jinluan Yang et al.
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shiftsby Jinluan Yang, Zhengyu Chen, Teng Xiao,…
Summary of Graph Classification with Gnns: Optimisation, Representation and Inductive Bias, by P. Krishna Kumar a and Harish G. Ramaswamy
Graph Classification with GNNs: Optimisation, Representation and Inductive Biasby P. Krishna Kumar a, Harish G.…
Summary of Federated Graph Learning with Structure Proxy Alignment, by Xingbo Fu et al.
Federated Graph Learning with Structure Proxy Alignmentby Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen,…