"Feature Learning Using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptides"

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Book	Author(s)	Year	Publisher
Antimicrobial activity of lactoferrin and lactoferrin derived peptides	Havard Jenssen	2009	Nova Science
Antimicrobial Peptides	David A. Phoenix	2013	John Wiley & Sons
Antimicrobial Peptides	Leslie M. Hicks	2022	Academic Press
Antimicrobial peptides	Joan Marsh; Jamie Goode	1994	Wiley
Antimicrobial peptides /	Marsh, Joan.; Goode, Jamie.	1994.	J. Wiley,
Using inductive learning to predict bankruptcy	James A. Gentry	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Prokaryotic Antimicrobial Peptides: From Genes to Applications	Djamel Drider; Sylvie Rebuffat	2011	Springer New York
Antimicrobial Peptides and Innate Immunity	Pieter S. Hiemstra; Sebastian A. J. Zaat	2013	Springer Basel
Antimicrobial Peptides: Methods and Protocols	Andrea Giuliani; Andrea C. Rinaldi	2010	Humana Press
Antimicrobial Peptides: Methods and Protocols	Paul R. Hansen	1st ed. 2017	Springer New York
Antimicrobial Peptides and Human Disease	William Shafer	2006	Springer Berlin Heidelberg
Antimicrobial Peptides in Gastrointestinal Diseases	Chi Hin Cho	2018	Academic Press
Ciba Foundation Symposium 186 - Antimicrobial Peptides	Jamie A. Goode; Joan Marsh	1995	John Wiley & Sons
Antimicrobial Peptides: Basics for Clinical Application	Katsumi Matsuzaki	1st ed. 2019	Springer Nature Singapore
Network Intrusion Detection using Deep Learning: A Feature Learning Approach	Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Tanuwidjaja	1st ed. 2018	Springer Nature Singapore
Antimicrobial peptides in human health and disease	Richard L. Gallo	2005	Horizon Bioscience
Using Modeling to Predict and Prevent Victimization	Ken Pease; Andromachi Tseloni	2014	Springer International Publishing
Antimicrobial Peptides: Role in Human Health and Disease	Jürgen Harder; Jens-M. Schröder	1st ed. 2016	Springer International Publishing
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint	Mark K. Hinders	1st ed. 2020	Springer International Publishing
Peptides: Design, Synthesis, and Biological Activity	Channa Basava; G.M. Anantharamaiah	1994	Birkhäuser Boston
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Feature Learning Using Stacked Autoencoders to Predict the Activity of Antimicrobial Peptides	Francy Camacho; Rodrigo Torres; Raúl Ramos-Pollán	Computational Methods in Systems Biology: 13th International Conference, CMSB 2015, Nantes, France, September 16-18, 2015, Proceedings	Olivier Roux; Jérémie Bourdon	1st ed. 2015	Springer International Publishing
Stacked Autoencoders		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Stacked Autoencoders		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Aurélien Géron	2017	O'Reilly Media
Stacked Autoencoders		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Géron, Aurélien	2017	O'Reilly Media
Stacked Autoencoders		Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow	Aurelien Geron	2019	O’reilly
Stacked Autoencoders	David Paper	State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem	David Paper	1st ed.	Apress
Unsupervised Pretraining Using Stacked Autoencoders		Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd Edition	Aurélien Géron	2019	O'Reilly
Unsupervised Pretraining Using Stacked Autoencoders		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Aurélien Géron	2017	O'Reilly Media
Unsupervised Pretraining Using Stacked Autoencoders		Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems	Géron, Aurélien	2017	O'Reilly Media
Unsupervised Pretraining Using Stacked Autoencoders		Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow	Aurelien Geron	2019	O’reilly
Hemolytic Activity of Antimicrobial Peptides	Alberto Oddo; Paul R. Hansen	Antimicrobial Peptides: Methods and Protocols	Paul R. Hansen	1st ed. 2017	Springer New York
Self-taught Learning: Image Classification Using Stacked Autoencoders	Upendra Pratap Singh; Swapnil Chavan; Sahil Hindwani; Krishna Pratap Singh	Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 1	Atulya K. Nagar; Kusum Deep; Jagdish Chand Bansal; Kedar Nath Das	1st ed. 2020	Springer Nature Singapore
Stacked Denoising Autoencoders		Python: Real World Machine Learning	Prateek Joshi; Luca Massaron; John Hearty	2017	Packt Publishing
983 Stacked autoencoders		Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, Technologies and Applications	Chiranji Lal Chowdhary (editor), Mamoun Alazab (editor), Ankit Chaudhary (editor), Saqib Hakak (editor), G. Thippa Reddy (editor)	2021	The Institution of Engineering and Technology
Stacked Denoising Autoencoders		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
1556 Stacked Autoencoders		Network Security and Cryptography(2022)[Musa][9781683928836]. pdf	Musa	2022	Mercury Learning & Information
52 Stacked Autoencoders		Machine Learning Applications in Electromagnetics and Antenna Array Processing	Manel Martínez-ramón, Arjun Gupta, José Luis Rojo-álvarez, Christos Christodoulou	2021	Artech House
Stacked Denoising Autoencoders		Advanced machine learning with Python: solve challenging data science problems by mastering cutting-edge machine learning techniques in Python /	Hearty, John,		Packt Publishing - ebooks Account
Characterization of the Leishmanicidal Activity of Antimicrobial Peptides	Juan Román Luque-Ortega; Luis Rivas	Antimicrobial Peptides: Methods and Protocols	Andrea Giuliani; Andrea C. Rinaldi	2010	Humana Press
124 Stacked deep autoencoders		Machine Learning with TensorFlow	Chris A. Mattmann	2021	Manning Publications
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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