IEEE

RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds

Abstract: The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway ...
GitHub

DiSeNE: disentangled and self-explainable node representation learning

The code has been tested with Python 3.10.15. To run the scripts and reproduce results, set up the conda environment using the provided YAML file: In exps/real/ and exps/synth/ there are python ...
Frontiers

Machine learning-based model for predicting contralateral central lymph node metastasis in papillary thyroid carcinoma with isthmus proximity

1 Department of Thyroid and Breast Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China 2 Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, ...
Frontiers

Machine learning and Shapley Additive exPlanations to predict metastasis of lymph nodes posterior to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma

Objective: Prophylactic dissection of lymph nodes posterior to the recurrent laryngeal nerve (LN-prRLN) in clinically node-negative (cN0) papillary thyroid carcinoma (PTC) remains controversial due to ...
IEEE

Multi-Task Learning for Ship Trajectory Prediction and Motion Planning via Node Relationship Modeling

Abstract: This study proposes an integrated framework for multi-ship trajectory prediction and motion planning based on joint learning, which significantly enhances the overall performance in ...