"An Empirical Evaluation of Machine Learning Algorithms for Image Classification"

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Book	Author(s)	Year	Publisher
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification	Anil Kumar; Priyadarshi Upadhyay; A. Senthil Kumar	2020	Routledge
Genetic Algorithms for Machine Learning	John J. Grefenstette	1994	Springer US
Machine Learning Algorithms	Giuseppe Bonaccorso	2018	Packt Publishing
Machine Learning Algorithms	Bonaccorso, Giuseppe	2017	Packt Publishing
Machine Learning Algorithms for Data Scientists: An Overview	Vinaitheerthan Renganathan	2021	Vinaitheerthan Renganathan
Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning	Shan Suthaharan	1st ed. 2016	Springer US
Machine Learning Algorithms for Industrial Applications	Santosh Kumar Das; Shom Prasad Das; Nilanjan Dey; Aboul-Ella Hassanien	1st ed. 2021	Springer International Publishing
Empirical Approach to Machine Learning	Plamen P. Angelov; Xiaowei Gu	1st ed. 2019	Springer International Publishing
Machine Learning Algorithms and Applications	Mettu Srinivas; G. Sucharitha; Anjanna Matta	2021	John Wiley & Sons
Algorithms in Machine Learning Paradigms	Jyotsna Kumar Mandal; Somnath Mukhopadhyay; Paramartha Dutta; Kousik Dasgupta	1st ed. 2020	Springer Nature Singapore
Machine Learning: Algorithms and Applications	Mohssen Mohammed; Muhammad Badruddin Khan; Eihab Bashier Mohammed Bashier	2016	Routledge
Evaluating Learning Algorithms: A Classification Perspective	Nathalie Japkowicz; Mohak Shah	2011-01	Cambridge University Press
Machine Learning in Image Steganalysis	Hans Georg Schaathun	2012	Wiley-IEEE Press
Machine Learning and Image Interpretation	Terry Caelli; Walter F. Bischof	1997	Springer US
Accelerated Optimization for Machine Learning: First-Order Algorithms	Zhouchen Lin; Huan Li; Cong Fang	1st ed. 2020	Springer Nature Singapore
Genetic Programming for Image Classification: An Automated Approach to Feature Learning	Ying Bi; Bing Xue; Mengjie Zhang	1st ed. 2021	Springer International Publishing
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques	Rik Das	2020	Routledge
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Evaluation of system identification algorithms for aspect-independent radar target classification	Peter David Larison	1989	Naval Postgraduate School;Available from the National Technical Information Service
Machine learning algorithms using Python programming	Gaurav Patil; Gopal Sakarkar; Prateek Dutta	2021	Nova Science Publishers
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
An Empirical Evaluation of Machine Learning Algorithms for Image Classification	Thembinkosi Nkonyana; Bhekisipho Twala	Advances in Swarm Intelligence: 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II	Ying Tan; Yuhui Shi; Li Li	1st ed. 2016	Springer International Publishing
An Analysis of Different Machine Learning Algorithms for Image Classification	Ankur Chaturvedi; Vikram Rajpoot; Meghansh Bansal; Hanuman Das Agrawal	Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 2	Pradeep Kumar Singh; Yashwant Singh; Jitender Kumar Chhabra; Zoltán Illés; Chaman Verma	1st ed. 2022	Springer Nature Singapore
Performance Evaluation of Hybrid Machine Learning Algorithms for Medical Image Classification	N. T. Renukadevi	Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing	Sujata Dash; Subhendu Kumar Pani; Ajith Abraham; Yulan Liang	1st ed. 2021	Springer International Publishing
Touch Analysis: An Empirical Evaluation of Machine Learning Classification Algorithms on Touch Data	Melodee Montgomery; Prosenjit Chatterjee; John Jenkins; Kaushik Roy	Security, Privacy, and Anonymity in Computation, Communication, and Storage: 12th International Conference, SpaCCS 2019, Atlanta, GA, USA, July 14–17, 2019, Proceedings	Guojun Wang; Jun Feng; Md Zakirul Alam Bhuiyan; Rongxing Lu	1st ed. 2019	Springer International Publishing
Machine learning classification algorithms		Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data	Nathan George	2021	Packt Publishing
Classification of Machine Learning Algorithms	Hamed Taherdoost	Advances in Data Computing, Communication and Security: Proceedings of I3CS2021	Pankaj Verma; Chhagan Charan; Xavier Fernando; Subramaniam Ganesan	1st ed. 2022	Springer Nature Singapore
Classification of Machine Learning Algorithms		Python Machine Learning: The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step Using Scikit-Learn and Tensorflow	Turner, Ryan	2019
An Evaluation of Image-Based Malware Classification Using Machine Learning	Tran The Son; Chando Lee; Hoa Le-Minh; Nauman Aslam; Moshin Raza; Nguyen Quoc Long	Advances in Computational Collective Intelligence: 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings	Marcin Hernes; Krystian Wojtkiewicz; Edward Szczerbicki	1st ed. 2020	Springer International Publishing
A Comparison of Generic Machine Learning Algorithms for Image Classification	Raphaël Marée; Pierre Geurts; Giorgio Visimberga; Justus Piater; Louis Wehenkel	Research and Development in Intelligent Systems XX: Proceedings of AI2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence	Frans Coenen; Alun Preece; Ann Macintosh	2004	Springer London
Training Machine Learning Algorithms for Classification		Python: deeper insights into machine learning: leverage benefits of machine learning techniques using Python: a course in three modules	Raschka, Sebastian; Julian, David; Hearty, John	2016	Packt Publishing
Training Machine Learning Algorithms for Classification		Python: Real-World Data Science	Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka	2016	Packt Publishing Limited
Training Machine Learning Algorithms for Classification		Python: Real-World Data Science: A course in four modules	Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton	2016	Packt Publishing
Training machine learning algorithms for classification		Python machine learning: unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics	Sebastian Raschka	2015
Land Site Image Classification Using Machine Learning Algorithms	G. Nagalakshmi; T. Sarath; S. Jyothi	Advances in Computational and Bio-Engineering: Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 1	S. Jyothi; D. M. Mamatha; Suresh Chandra Satapathy; K. Srujan Raju; Margarita N. Favorskaya	1st ed. 2020	Springer International Publishing
Accelerators for Classification Algorithms in Machine Learning	Shiming Lei; Chao Wang; Lei Gong; Xi Li; Aili Wang; Xuehai Zhou	High Performance Computing for Big Data: Methodologies and Applications	Chao Wang	2017	Routledge
52 Machine Learning Algorithms for Text Classification		A First Course in Artificial Intelligence	Osondu Oguike	2021	Bentham Science Publishers
Comparison of Machine Learning Algorithms for Classification Problems	Boran Sekeroglu; Shakar Sherwan Hasan; Saman Mirza Abdullah	Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), Volume 2	Kohei Arai; Supriya Kapoor	1st ed. 2020	Springer International Publishing
Machine learning algorithms for medical image security	J. Jennifer Ranjani; C. Jeyamala	Intelligent Data Security Solutions for e-Health Applications	Amit Kumar Singh and Mohamed Elhoseny	2020	Academic Press
Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classification on Small Datasets	Rim Koulali; Hajar Zaidani; Maryeme Zaim	Advances on Smart and Soft Computing: Proceedings of ICACIn 2020	Faisal Saeed; Tawfik Al-Hadhrami; Fathey Mohammed; Errais Mohammed	1st ed. 2021	Springer Nature Singapore
An Empirical Analysis of Image-Based Learning Techniques for Malware Classification	Pratikkumar Prajapati; Mark Stamp	Malware Analysis Using Artificial Intelligence and Deep Learning	Mark Stamp; Mamoun Alazab; Andrii Shalaginov	1st ed. 2021	Springer International Publishing
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