Search Results for author:
Found 4 papers, 0 papers with code
Interpretation of Sentiment Analysis in Aeschylus’s Greek Tragedy
In particular, there are ample opportunities for NLP and machine learning researchers to analyze data from literary texts and to broaden our understanding of human sentiment in classical Greek tragedy.
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection
This study aims to detect and mitigate linguistic differences related to non-biological differences in the training data of AI models designed to assist in pediatric mental health screening.
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
Conclusion: Our study reveals the significant impact of domain shift and demographic factors on chest X-ray classification, emphasizing the need for improved transfer learning and equitable model development.
CRL: Class Representative Learning for Image Classification
Second, the inferencing step in CRL is to match between the class representatives and new data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
