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Found 8 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.
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation
The incorporation of these modules showed superior performance for oral cancer segmentation for two datasets used in this research.
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference
Collaborative inference enables resource-constrained edge devices to make inferences by uploading inputs (e. g., images) to a server (i. e., cloud) where the heavy deep learning models run.
Link Prediction for Temporally Consistent Networks
Link prediction estimates the next relationship in dynamic networks.
SCAT: Second Chance Autoencoder for Textual Data
We present a k-competitive learning approach for textual autoencoders named Second Chance Autoencoder (SCAT).
CRL: Class Representative Learning for Image Classification
Second, the inferencing step in CRL is to match between the class representatives and new data.
Automated Human Claustrum Segmentation using Deep Learning Technologies
In this paper, we propose a fully automated approach that aims to segment the human claustrum for analytical purposes.
MedTQ: Dynamic Topic Discovery and Query Generation for Medical Ontologies
Given a predicate similarity metric, machine learning algorithms have been developed for automatic topic discovery and query generation.
