Zhongchen Ma

Orcid: 0000-0002-7432-6914

According to our database1, Zhongchen Ma authored at least 20 papers between 2014 and 2023.

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

Timeline

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Links

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Bibliography

2023
Multi-level distance embedding learning for robust acoustic scene classification with unseen devices.
Pattern Anal. Appl., August, 2023

A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry.
Sensors, July, 2023

A Similarity-Based Framework for Classification Task.
IEEE Trans. Knowl. Data Eng., May, 2023

2022
Improved deep convolutional embedded clustering with re-selectable sample training.
Pattern Recognit., 2022

MoRE: Multi-output residual embedding for multi-label classification.
Pattern Recognit., 2022

Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels.
CoRR, 2022

Learning from Positive and Unlabeled Data with Augmented Classes.
CoRR, 2022

2021
Cross-Domain Object Representation via Robust Low-Rank Correlation Analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Expand globally, shrink locally: Discriminant multi-label learning with missing labels.
Pattern Recognit., 2021

Erratum to: Latent discriminative representation learning for speaker recognition.
Frontiers Inf. Technol. Electron. Eng., 2021

Latent discriminative representation learning for speaker recognition.
Frontiers Inf. Technol. Electron. Eng., 2021

2020
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels.
CoRR, 2020

Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

2019
A convex formulation for multiple ordinal output classification.
Pattern Recognit., 2019

2018
Heterogeneous multi-output classification by structured conditional risk minimization.
Pattern Recognit. Lett., 2018

Multi-dimensional classification via a metric approach.
Neurocomputing, 2018

2016
Selected an Stacking ELMs for Time Series Prediction.
Neural Process. Lett., 2016

2015
Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction.
Expert Syst. Appl., 2015

Extreme learning machines' ensemble selection with GRASP.
Appl. Intell., 2015

2014
A two-phased and Ensemble scheme integrated Backpropagation algorithm.
Appl. Soft Comput., 2014


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