Xiaocai Zhang

Orcid: 0000-0002-3783-6560

According to our database1, Xiaocai Zhang authored at least 19 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Viewpoint Adaptation Ensemble Contrastive Learning framework for vessel type recognition with limited data.
Expert Syst. Appl., March, 2024

An approach to ship target detection based on combined optimization model of dehazing and detection.
Eng. Appl. Artif. Intell., January, 2024

2023
Kernel-based feature aggregation framework in point cloud networks.
Pattern Recognit., July, 2023

A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification.
Expert Syst. Appl., March, 2023

Machine learning on protein-protein interaction prediction: models, challenges and trends.
Briefings Bioinform., March, 2023

ARDE-N-BEATS: An Evolutionary Deep Learning Framework for Urban Traffic Flow Prediction.
IEEE Internet Things J., February, 2023

Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Vessel Trajectory Prediction in Maritime Transportation: Current Approaches and Beyond.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis.
Knowl. Based Syst., 2021

Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers.
Bioinform., 2021

2020
Prediction of Taxi Destinations Using a Novel Data Embedding Method and Ensemble Learning.
IEEE Trans. Intell. Transp. Syst., 2020

2019
Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces.
BMC Bioinform., December, 2019

DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug-drug interactions.
BMC Bioinform., 2019

Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases.
BMC Bioinform., 2018

Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2015
Classification Method of Navigational Aids in Inland Waters Based on Big Data.
Proceedings of the Ninth International Conference on Frontier of Computer Science and Technology, 2015


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