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Found 7 papers, 2 papers with code
A Brief Survey of Textual Dialogue Corpora
Several dialogue corpora are currently available for research purposes, but they still fall short for the growing interest in the development of dialogue systems with their own specific requirements.
Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection
Our proposed SNN approach with neural joint activity enables the classification of fraudulent opening of bank accounts more accurately and fairly than standard SNNs.
Ranked #1 on
Fairness
on BAF – Variant V
Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization
Our approach consists of applying 1D-Convolutional Spiking Neural Networks to improve fraud detection on the Bank Account Fraud dataset with the Bayesian optimization of hyperparameters.
Ranked #1 on
Fairness
on BAF – Base
The Significance of Latent Data Divergence in Predicting System Degradation
Condition-Based Maintenance is pivotal in enabling the early detection of potential failures in engineering systems, where precise prediction of the Remaining Useful Life is essential for effective maintenance and operation.
Unsupervised Flow Discovery from Task-oriented Dialogues
The design of dialogue flows is a critical but time-consuming task when developing task-oriented dialogue (TOD) systems.
