Works matching IS 1793351X AND DT 2022 AND VI 16 AND IP 3

Results: 9

A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 449, doi. 10.1142/S1793351X22500039

By:

Manouchehri, Narges;
Bouguila, Nizar

Publication type:

Article

Flexible-Joint Manipulator Trajectory Tracking with Two-Stage Learned Model Utilizing a Hardwired Forward Dynamics Prediction.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 403, doi. 10.1142/S1793351X22430036

By:

Pavlichenko, Dmytro;
Behnke, Sven

Publication type:

Article

Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks — A Reward Curriculum Approach.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 381, doi. 10.1142/S1793351X22430024

By:

Leyendecker, Lars;
Schmitz, Markus;
Zhou, Hans Aoyang;
Samsonov, Vladimir;
Rittstieg, Marius;
Lütticke, Daniel

Publication type:

Article

Integrating Scene Image and Conversational Text to Develop Human–Machine Dialogue.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 425, doi. 10.1142/S1793351X22430012

By:

Wang, Hao-Yi;
Huang, Jhih-Yuan;
Lee, Wei-Po

Publication type:

Article

A Generalized Search Construct for Imperative Languages to Facilitate Declarative Programming.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 315, doi. 10.1142/S1793351X2242003X

By:

Smith, James;
Henderson, Chris;
Bansal, Ajay

Publication type:

Article

Guest Editorial.

Published in:: 2022
Publication type:: Editorial

ItemSB: Itemsets with Statistically Distinctive Backgrounds Discovered by Evolutionary Method.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 357, doi. 10.1142/S1793351X22420028

By:

Shimada, Kaoru;
Arahira, Takaaki;
Matsuno, Shogo

Publication type:

Article

Using Synthetic Images to Evaluate and Improve Object Detection Neural Network Performance on Aerial Image Datasets.

Published in:

International Journal of Semantic Computing, 2022, v. 16, n. 3, p. 339, doi. 10.1142/S1793351X22420016

By:

Konen, Kai;
Hecking, Tobias

Publication type:

Article

Guest Editorial.

Published in:: 2022
Publication type:: Editorial