Picture for Jianhua Chen

Jianhua Chen

MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents

Add code
Aug 22, 2024
Figure 1 for MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Figure 2 for MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Figure 3 for MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Figure 4 for MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM Agents
Viaarxiv icon

Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models

Add code
Apr 08, 2022
Figure 1 for Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Figure 2 for Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Figure 3 for Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Figure 4 for Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Viaarxiv icon

Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques

Add code
Oct 29, 2019
Figure 1 for Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques
Figure 2 for Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques
Figure 3 for Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques
Figure 4 for Predicting Louisiana Public High School Dropout through Imbalanced Learning Techniques
Viaarxiv icon

Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography

Add code
Jul 24, 2018
Figure 1 for Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Figure 2 for Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Figure 3 for Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Figure 4 for Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Viaarxiv icon