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An adaptive learning control system for large flexible structures final report to National Aeronauti

Thau, Frederick E.
New York, N.Y. : Dept. of Electrical Engineering, the City College of New York ; [Washington, D.C.] : National Aeronautics and Space Administration, [1985?] 1985

Advanced methods and deep learning in computer vision

London, United Kingdom ; San Diego, CA : Elsevier Academic Press, [2022] 2022

Advances in digitalization and machine learning for integrated building-transportation energy system

Amsterdam, Netherlands ; Cambridge, MA : Elsevier, 2023. 2023

Advances in domain adaptation theory

Redko, Ievgen, author.
London, UK : ISTE Press Ltd ; Kidlington, oxford, UK : Elsevier Ltd, 2019. 2019

Advances in independent component analysis and learning machines

London, UK : Academic Press, 2015. 2015

Advances in subsurface data analytics traditional and physics-based machine learning

Amsterdam : Elsevier, 2022. 2022

Adversarial robustness for machine learning models

Chen, Pin-Yu.
London : Academic Press, [2023]. 2023

Artificial intelligence : a guide for thinking humans

Mitchell, Melanie (Computer scientist), author.
New York : Farrar, Straus and Giroux, 2019. 2019

Artificial intelligence and machine learning for edge computing

London, United Kingdom : Academic Press, 2022. 2022

Artificial neural networks for engineering applications

St. Louis, Missouri : Elsevier, [2019] 2019

Bayesian learning

Denning, Peter J.
[Moffett Field, Calif.] : Research Institute for Advanced Computer Science, NASA Ames Research Center, [1989] 1989

Biosignal processing and classification using computational learning and intelligence : principles,

Amsterdam : Academic Press, 2021. 2021

Blondie24 : playing at the edge of AI

Fogel, David B.
San Francisco : Morgan Kaufmann Publishers, ©2002. 2002

Conformal prediction for reliable machine learning : theory, adaptations, and applications

Amsterdam ; Boston : Morgan Kaufmann, ©2014. 2014

Data mining : practical machine learning tools and techniques

Witten, I. H. (Ian H.), author.
Burlington, MA : Morgan Kaufmann, ©2011. 2011

Data science, analytics and machine learning with R

Fávero, Luiz Paulo, author.
London : Academic Press, [2023] 2023

Deep learning and parallel computing environment for bioengineering

St. Louis, Missouri : Elsevier, 2019. 2019

Deep learning for data analytics : foundations, biomedical applications, and challenges

London : Academic Press, 2020. 2020

Deep learning for sustainable agriculture

London, United Kingdom : Elsevier Academic Press, [2022] 2022

Deep learning in bioinformatics : techniques and applications in practice

Izadkhah, Habib, author.
London : Academic Press, 2022. 2022

Deep Learning Models for Medical Imaging

Santosh, K. C.
San Diego : Elsevier Science & Technology, 2021. 2021

Deep learning techniques for biomedical and health informatics

London : Academic Press, 2020. 2020

Deep learning through sparse and low-rank modeling

[Place of publication not identified] : Academic Press, an imprint of Elsevier, [2019] 2019

Demystifying big data, machine learning, and deep learning for healthcare analytics

London : Academic Press, 2021. 2021

Explainable deep learning AI : methods and challenges

Cambridge, Massachusetts : Academic Press, 2023. 2023

Generative adversarial networks for image-to-image translation

London : Academic Press, 2021. 2021

Handbook of deep learning in biomedical engineering : techniques and applications

London : Academic Press, 2021. 2021

Handbook of hydroinformatics.

Amsterdam : Elsevier, 2022. 2022

Human-in-the-loop learning and control for robot teleoperation

Yang, Chenguang, author.
London, United Kingdom ; San Diego, CA : Academic Press, 2023. 2023

Human recognition in unconstrained environments : using computer vision, pattern recognition and mac

London : Academic Press, an imprint of Elsevier, [2017] 2017

Intelligent data-analytics for condition monitoring : smart grid applications

Malik, Hasmat.
London : Academic Press, 2021. 2021

Introduction to algorithms for data mining and machine learning

Yang, Xin-She, author.
London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2019] 2019

Machine learning : a Bayesian and optimization perspective

Theodoridis, Sergios, 1951-
London ; San Diego : Elsevier : Academic Press, 2015. 2015

Machine learning : a constraint-based approach

Gori, Marco, author.
Amsterdam : Morgan Kaufmann, 2017. 2017

Machine learning : a constraint-based approach.

Gori, Marco, author.
Amsterdam : Morgan Kaufmann, 2023. 2023

Machine learning and data mining : introduction to principles and algorithms

Kononenko, Igor, 1959-
Chichester, England : Horwood Publishing, 2007. 2007

Machine learning and data science in the oil and gas industry : best practices, tools, and case stud

Cambridge, MA : Gulf Professional, 2021. 2021

Machine learning and data science in the power generation industry

Amsterdam : Elsevier, 2021. 2021

Machine learning and internet of medical things in healthcare

London : Academic Press, 2021. 2021

Machine learning and pattern recognition methods in chemistry from multivariate and data driven mode

Ghasemi, Jahan B.
Amsterdam : Elsevier, 2022. 2022

Machine learning, big data, and IoT for medical informatics

[S.l.] : Academic Press, 2021. 2021

Machine learning for biomedical applications : with Scikit-Learn and PyTorch

Deprez, Maria, author.
Amsterdam : Academic Press, [2024] 2024

Machine learning for biometrics : concepts, algorithms and applications

Amsterdam : Academic Press, [2022] 2022

Machine learning for future fiber-optic communication systems

London, United Kingdom ; San Diego, CA : Elsevier Academic Press, [2022] 2022

Machine learning for planetary science

Amsterdam : Elsevier, 2022. 2022

Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms

Belyadi, Hoss, author.
Cambridge, MA : Gulf Professional Publishing, 2021. 2021

Machine Learning in Bio-Signal Analysis and Diagnostic Imaging

London : Academic Press, [2019] 2019

Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applicat

Bonakdari, Hossein, author.
Amsterdam ; Cambridge, MA : Elsevier, [2023] 2023

Machine learning in geosciences

Amsterdam, The Netherlands : Elsevier Academic Press, 2020. 2020

Machine learning : proceedings of the Twelfth International Conference on Machine Learning, Tahoe Ci

International Conference on Machine Learning (12th : 1995 : Tahoe City, Calif.)
San Francisco, CA : Morgan Kaufmann Publishers, ©1995. 1995