Multimodal learning using heterogeneous data /
| Corporate Author: | ScienceDirect (Online service) |
|---|---|
| Other Authors: | Eslamian, Saeid (Editor), Nanjundan, Preethi, 1980- (Editor), George, Jossy P. (Editor), Eslamian, Faezeh A. (Editor) |
| Format: | eBook |
| Language: | English |
| Published: |
Amsterdam :
Morgan Kaufmann,
2025.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Similar Items
Emerging trends and applications of deep learning for biomedical data analysis /
Published: (2025)
Published: (2025)
Deep learning : from algorithmic essence to industrial practice /
by: Wang, Shuhao, et al.
Published: (2025)
by: Wang, Shuhao, et al.
Published: (2025)
Hands-on deep learning : building models from scratch /
by: Islam, Tanvir
Published: (2025)
by: Islam, Tanvir
Published: (2025)
Deep learning models towards health informatics management : foundations, challenges and opportunities /
Published: (2026)
Published: (2026)
Deep learning on type Ia supernovae /
by: Chen, Xingzhuo
Published: (2026)
by: Chen, Xingzhuo
Published: (2026)
Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)
by: Gutman, Alex J., et al.
Published: (2021)
Deep learning applications in translational bioinformatics.
Published: (2024)
Published: (2024)
Artificial intelligence for subsurface characterization and monitoring /
Published: (2025)
Published: (2025)
Deep learning : foundations and concepts /
by: Bishop, Christopher M., et al.
Published: (2024)
by: Bishop, Christopher M., et al.
Published: (2024)
Computational methods and deep learning for ophthalmology /
Published: (2023)
Published: (2023)
Probability for deep learning quantum : a many-sorted algebra view /
by: Giardina, Charles R.
Published: (2025)
by: Giardina, Charles R.
Published: (2025)
DEEP LEARNING FOR SYNTHETIC APERTURE RADAR REMOTE SENSING.
Published: (2026)
Published: (2026)
Deep learning in genetics and genomics.
Published: (2025)
Published: (2025)
Deep learning : a beginners' guide /
by: Meedeniya, Dulani
Published: (2024)
by: Meedeniya, Dulani
Published: (2024)
Meta-analytics : consensus approaches and system patterns for data analysis /
by: Simske, Steven J.
Published: (2019)
by: Simske, Steven J.
Published: (2019)
Intelligent robotic visual perception with deep learning /
by: Liang, Qiaokang, et al.
Published: (2025)
by: Liang, Qiaokang, et al.
Published: (2025)
Semantics and deep learning /
by: Abzianidze, Lasha, 1987-, et al.
Published: (2024)
by: Abzianidze, Lasha, 1987-, et al.
Published: (2024)
Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)
by: Subramanian, Vidya, 1978-
Published: (2025)
Machine learning and data mining : introduction to principles and algorithms /
by: Kononenko, Igor, 1959-
Published: (2007)
by: Kononenko, Igor, 1959-
Published: (2007)
Deep learning concepts in operations research /
Published: (2025)
Published: (2025)
Visual sensing and ubiquitous computing /
Published: (2025)
Published: (2025)
Deep learning for medical applications with uniue data /
Published: (2022)
Published: (2022)
How one Google team built storytelling into analytics /
by: Zhu, Jiaxi
Published: (2025)
by: Zhu, Jiaxi
Published: (2025)
Temporal Data Mining via Unsupervised Ensemble Learning.
by: Yang, Yun (University lecturer)
Published: (2016)
by: Yang, Yun (University lecturer)
Published: (2016)
Deep learning in personalized healthcare and decision support /
Published: (2023)
Published: (2023)
Securing large language models against emerging threats /
Published: (2026)
Published: (2026)
MASTERING THE MINDS OF MACHINES a journey into deep learning and AI.
Published: (2025)
Published: (2025)
Iris and periocular recognition using deep learning /
by: Kumar, Ajay
Published: (2024)
by: Kumar, Ajay
Published: (2024)
Data mining and machine learning applications /
Published: (2022)
Published: (2022)
Applications of deep machine learning in future energy systems /
Published: (2024)
Published: (2024)
Deep learning techniques for biomedical and health informatics /
Published: (2020)
Published: (2020)
Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)
by: Gutman, Alex J., et al.
Published: (2021)
Data science projects with Python : a case study approach to gaining valuable insights from real data with machine learning /
by: Klosterman, Stephen
Published: (2021)
by: Klosterman, Stephen
Published: (2021)
Deep learning in time series analysis /
by: Gharehbaghi, Arash, 1972-
Published: (2023)
by: Gharehbaghi, Arash, 1972-
Published: (2023)
Radio frequency machine learning : a practical deep learning perspective /
by: Kuzdeba, Scott
Published: (2025)
by: Kuzdeba, Scott
Published: (2025)
Explainable deep learning AI : methods and challenges /
Published: (2023)
Published: (2023)
Introduction to algorithms for data mining and machine learning /
by: Yang, Xin-She
Published: (2019)
by: Yang, Xin-She
Published: (2019)
Applications of Deep Learning in Electromagnetics : Teaching Maxwell's Equations to Machines.
by: Li, Maokun
Published: (2023)
by: Li, Maokun
Published: (2023)
Teaching data science : core learning outcomes and topics for an introductory course.
Published: (2018)
Published: (2018)
Deep learning for image recognition /
by: Long, Peng, et al.
Published: (2025)
by: Long, Peng, et al.
Published: (2025)