"Signal Correlation Prediction Using Convolutional Neural Networks"

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Book	Author(s)	Year	Publisher
Financial prediction using neural networks	Joseph S. Zirilli	1996	International Thomson Computer Press
Practical Convolutional Neural Networks: Implement advanced deep learning models using Python	Mohit Sewak; Rezaul Karim; Pradeep Pujari	2018	Packt Publishing - ebooks Account
Tree-Based Convolutional Neural Networks: Principles and Applications	Lili Mou; Zhi Jin	1st ed. 2018	Springer Nature Singapore
Speech, Audio, Image and Biomedical Signal Processing using Neural Networks	Bhanu Prasad; S.R.M. Prasanna	2008	Springer Berlin Heidelberg
Convolutional Neural Networks in Visual Computing: A Concise Guide	Ragav Venkatesan; Baoxin Li	2017	Routledge
A Guide to Convolutional Neural Networks for Computer Vision	Salman Khan; Hossein Rahmani; Syed Afaq Ali Shah; Mohammed Bennamoun		Springer International Publishing
Applied neural networks for signal processing /	Luo, Fa-Long.; Unbehauen, Rolf.	1997.	Cambridge University Press,
Neural networks for intelligent signal processing /	Zaknich, Anthony.	[2003], ©2003.	World Scientific,
Neural networks applied to signal processing	Mark D. Baehre	1989	Naval Postgraduate School;Available from the National Technical Information Service
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Neural Networks for Identification, Prediction and Control	Duc Truong Pham; Xing Liu	1995	Springer London
Text mining using neural networks	Waleed A. Zaghloul	2005	University of Nebraska-Lincoln
Neural networks for signal and information processing	Hui-Huang Hsu	1994
Neural Networks for Signal Processing V: Proceedings of the 1995 IEEE Workshop (1995 Neural Networks for Signal Processing)		August 1995	Institute of Electrical & Electronics Enginee
Medical diagnosis using artificial neural networks	Sara Moein	2014	Medical Information Science Reference, an imprint of IGI Global
Forecasting financial markets using Neural Networks	Jason E. Kutsurelis	1998	Naval Postgraduate School;Available from National Technical Information Service
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics	Le Lu; Xiaosong Wang; Gustavo Carneiro; Lin Yang	1st ed. 2019	Springer International Publishing
Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization	Brett Koonce	1st ed.	Apress
Intelligent Visual Inspection: Using artificial neural networks	R. Rosandich	1997	Springer US
Image Processing using Pulse-Coupled Neural Networks	Thomas Lindblad; Jason M. Kinser	1998	Springer London
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Signal Correlation Prediction Using Convolutional Neural Networks	Lukasz Romaszko	Neural Connectomics Challenge	Demian Battaglia; Isabelle Guyon; Vincent Lemaire; Javier Orlandi; Bisakha Ray; Jordi Soriano	1st ed. 2017	Springer International Publishing
Time Series Prediction by Using Convolutional Neural Networks	Ronny Velastegui; Luis Zhinin-Vera; Gissela E. Pilliza; Oscar Chang	Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2021	Springer International Publishing
Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks	Tomasz Włodarczyk; Szymon Płotka; Przemysław Rokita; Nicole Sochacki-Wójcicka; Jakub Wójcicki; Michał Lipa et al.	Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings	Yipeng Hu; Roxane Licandro; J. Alison Noble; Jana Hutter; Stephen Aylward; Andrew Melbourne; Esra Abaci Turk; Jordina Torrents Barrena	1st ed. 2020	Springer International Publishing
Personality Prediction Through Handwriting Analysis Using Convolutional Neural Networks	Gyanendra Chaubey; Siddhartha Kumar Arjaria	Proceedings of International Conference on Computational Intelligence: ICCI 2020	Ritu Tiwari; Apoorva Mishra; Neha Yadav; Mario Pavone	1st ed. 2022	Springer Nature Singapore
Patient-Specific Seizure Prediction Using the Convolutional Neural Networks	Ranjan Jana; Siddhartha Bhattacharyya; Swagatam Das	Intelligence Enabled Research: DoSIER 2019	Siddhartha Bhattacharyya; Sushmita Mitra; Paramartha Dutta	1st ed. 2020	Springer Nature Singapore
Stock Market Trend Prediction Using Recurrent Convolutional Neural Networks	Bo Xu; Dongyu Zhang; Shaowu Zhang; Hengchao Li; Hongfei Lin	Natural Language Processing and Chinese Computing: 7th CCF International Conference, NLPCC 2018, Hohhot, China, August 26–30, 2018, Proceedings, Part II	Min Zhang; Vincent Ng; Dongyan Zhao; Sujian Li; Hongying Zan	1st ed. 2018	Springer International Publishing
Prediction to Atrial Fibrillation Using Deep Convolutional Neural Networks	Jungrae Cho; Yoonnyun Kim; Minho Lee	PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings	Islem Rekik; Gozde Unal; Ehsan Adeli; Sang Hyun Park	1st ed. 2018	Springer International Publishing
Bioactivity Prediction Using Convolutional Neural Network	Hentabli Hamza; Maged Nasser; Naomie Salim; Faisal Saeed	Emerging Trends in Intelligent Computing and Informatics: Data Science, Intelligent Information Systems and Smart Computing	Faisal Saeed; Fathey Mohammed; Nadhmi Gazem	1st ed. 2020	Springer International Publishing
Convolutional Neural Networks	Nikhil Ketkar	Deep Learning with Python: A Hands-on Introduction	Nikhil Ketkar	1st ed.	Apress
Convolutional Neural Networks	Hamed Habibi Aghdam; Elnaz Jahani Heravi	Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification	Hamed Habibi Aghdam; Elnaz Jahani Heravi	1st ed. 2017	Springer International Publishing
Convolutional Neural Networks	Robert H. Chen; Chelsea Chen	Artificial Intelligence: An Introduction for the Inquisitive Reader	Robert H. Chen; Chelsea C. Chen	2022	Routledge
Convolutional neural networks	Emil Hvitfeldt; Julia Silge	Supervised Machine Learning for Text Analysis in R	Emil Hvitfeldt; Julia Silge	2021	Routledge
Convolutional Neural Networks	Ragav Venkatesan; Baoxin Li	Convolutional Neural Networks in Visual Computing: A Concise Guide	Ragav Venkatesan; Baoxin Li	2017	Routledge
Convolutional Neural Networks	Jong Chul Ye	Geometry of Deep Learning: A Signal Processing Perspective	Jong Chul Ye	1st ed. 2022	Springer Nature Singapore
Convolutional Neural Networks	Osval Antonio Montesinos López; Abelardo Montesinos López; Jose Crossa	Multivariate Statistical Machine Learning Methods for Genomic Prediction	Osval Antonio Montesinos López; Abelardo Montesinos López; José Crossa	1st ed. 2022	Springer International Publishing
Convolutional Neural Networks	Liangqu Long; Xiangming Zeng	Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks	Liangqu Long; Xiangming Zeng	1st ed.	Apress
Convolutional Neural Networks	Ashwin Pajankar; Aditya Joshi	Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch	Ashwin Pajankar; Aditya Joshi	1st ed.	Apress
Convolutional Neural Networks	Teik Toe Teoh; Zheng Rong	Artificial Intelligence with Python	Teik Toe Teoh; Zheng Rong	1st ed. 2022	Springer Nature Singapore
Convolutional Neural Networks	Umberto Michelucci	Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python	Umberto Michelucci	2nd ed.	Apress
Convolutional neural networks	Walter Hugo Lopez Pinaya; Sandra Vieira; Rafael Garcia-Dias; Andrea Mechelli	Machine Learning	Andrea Mechelli andSandra Vieira	2019	Academic Press
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