CoGate-LSTM adds prototype-guided cosine feature-space gating to a character-level BiLSTM with multi-source embeddings and focal loss, reaching 0.881 macro-F1 on Jigsaw toxic comments while using 7.3M parameters and outperforming fine-tuned BERT by 6.9 points on minority labels.
A review of Transimpedance amplifiers used in biomedical applications
3 Pith papers cite this work. Polarity classification is still indexing.
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verdicts
UNVERDICTED 3representative citing papers
Monolithic silicon photonics receiver achieves 28.9 GHz bandwidth, 61.7 dBΩ gain, 9.22 mW power, and 0.08 pJ/bit at 56 GBaud with measured validation to 64 GBaud.
ECG-Lens, a complex CNN, achieves 80% accuracy and 90% ROC-AUC on PTB-XL ECG classification, outperforming Decision Tree, Random Forest, Logistic Regression, simple CNN, and LSTM.
citing papers explorer
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CoGate-LSTM: Prototype-Guided Feature-Space Gating for Mitigating Gradient Dilution in Imbalanced Toxic Comment Classification
CoGate-LSTM adds prototype-guided cosine feature-space gating to a character-level BiLSTM with multi-source embeddings and focal loss, reaching 0.881 macro-F1 on Jigsaw toxic comments while using 7.3M parameters and outperforming fine-tuned BERT by 6.9 points on minority labels.
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A 0.08 pJ/bit 56 GBaud Monolithic Optical Receiver Front End for IMDD Photonic Links
Monolithic silicon photonics receiver achieves 28.9 GHz bandwidth, 61.7 dBΩ gain, 9.22 mW power, and 0.08 pJ/bit at 56 GBaud with measured validation to 64 GBaud.
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ECG-Lens: Benchmarking ML & DL Models on PTB-XL Dataset
ECG-Lens, a complex CNN, achieves 80% accuracy and 90% ROC-AUC on PTB-XL ECG classification, outperforming Decision Tree, Random Forest, Logistic Regression, simple CNN, and LSTM.