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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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Machine Learning

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  • Kubeflow for Machine Learning - Trevor Grant
    Kubeflow for Machine Learning
    Trevor Grant, Holden Karau, Boris Lublinsky, Richard Liu and Ilan Filonenko
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  • Pattern Recognition and Computer Vision : Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II - Yuxin Peng
    Pattern Recognition and Computer Vision
    Third Chinese Conference, PRCV 2020, Nanjing, C...
    Yuxin Peng, Qingshan Liu and Huchuan Lu
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  • Dual Learning : Computer Science (R0) - Tao Qin
    Dual Learning
    Computer Science (R0)
    Tao Qin
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  • Trends in Deep Learning Methodologies : Algorithms, Applications, and Systems - Vincenzo Piuri
    Trends in Deep Learning Methodologies
    Algorithms, Applications, and Systems
    Vincenzo Piuri, Sandeep Raj, Angelo Genovese and Rajshree Srivastava
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XV - Andrea Vedaldi
    Computer Vision - ECCV 2020
    16th European Conference, Glasgow, UK, August 2...
    Andrea Vedaldi, Horst Bischof and Thomas Brox
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  • Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications : ICHSA 2020, Istanbul - Sinan Melih Nigdeli
    Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications
    ICHSA 2020, Istanbul
    Sinan Melih Nigdeli, Joong Hoon Kim and Gebrail Bekda?
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  • Illustrated Computational Intelligence : Examples and Applications - Priti Srinivas Sajja
    Illustrated Computational Intelligence
    Examples and Applications
    Priti Srinivas Sajja
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXII - Andrea Vedaldi
    Computer Vision - ECCV 2020
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    Andrea Vedaldi, Horst Bischof and Thomas Brox
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  • An Introduction to Lifted Probabilistic Inference : Neural Information Processing series - Guy Van den Broeck
    An Introduction to Lifted Probabilistic Inference
    Neural Information Processing series
    Guy Van den Broeck, Sriraam Natarajan, Kristian Kersting and David Poole
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  • Machine Learning, revised and updated edition : The MIT Press Essential Knowledge series - Ethem Alpaydin
    Machine Learning, revised and updated edition
    The MIT Press Essential Knowledge series
    Ethem Alpaydin
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  • Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I - James Kwok
    Neural Information Processing
    27th International Conference, ICONIP 2020, Ban...
    James Kwok, Irwin King and Kitsuchart Pasupa
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  • Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III - James Kwok
    Neural Information Processing
    27th International Conference, ICONIP 2020, Ban...
    James Kwok, Irwin King and Kitsuchart Pasupa
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  • Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II - Haiqin Yang
    Neural Information Processing
    27th International Conference, ICONIP 2020, Ban...
    Haiqin Yang, Kitsuchart Pasupa and Andrew ChiSing Leung
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  • Mastering PyTorch : Build powerful neural network architectures using advanced PyTorch 1.x features - Ashish Ranjan Jha
    Mastering PyTorch
    Build powerful neural network architectures usi...
    Ashish Ranjan Jha and Dr. Gopinath Pillai
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  • Human Activity Recognition Challenge : Smart Innovation, Systems and Technologies : Book 199 - Md Atiqur Rahman Ahad
    Human Activity Recognition Challenge
    Smart Innovation, Systems and Technologies : Bo...
    Md Atiqur Rahman Ahad, Paula Lago and Sozo Inoue
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  • Artificial Neural Networks with TensorFlow 2 : ANN Architecture Machine Learning Projects - Poornachandra Sarang
    Artificial Neural Networks with TensorFlow 2
    ANN Architecture Machine Learning Projects
    Poornachandra Sarang
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  • Recent Studies on Computational Intelligence : Doctoral Symposium on Computational Intelligence (DoSCI 2020) - Ashish Khanna
    Recent Studies on Computational Intelligence
    Doctoral Symposium on Computational Intelligenc...
    Ashish Khanna, Awadhesh Kumar Singh and Abhishek Swaroop
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  • Artificial Intelligence in Finance - Yves Hilpisch
    Artificial Intelligence in Finance
    Yves Hilpisch
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  • Machine Learning Design Patterns - Valliappa Lakshmanan
    Machine Learning Design Patterns
    Valliappa Lakshmanan, Sara Robinson and Michael Munn
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  • Statistical Learning with Math and R : 100 Exercises for Building Logic - Joe Suzuki
    Statistical Learning with Math and R
    100 Exercises for Building Logic
    Joe Suzuki
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  • Regression Analysis : An Intuitive Guide for Using and Interpreting Linear Models - Jim Frost
    Regression Analysis
    An Intuitive Guide for Using and Interpreting L...
    Jim Frost
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  • Practical AI on the Google Cloud Platform - Micheal Lanham
    Practical AI on the Google Cloud Platform
    Micheal Lanham
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  • Machine Learning for Predictive Analysis : Proceedings of ICTIS 2020 - Amit Joshi
    Machine Learning for Predictive Analysis
    Proceedings of ICTIS 2020
    Amit Joshi, Mahdi Khosravy and Neeraj Gupta
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  • Building Machine Learning Pipelines - Hannes Hapke
    Building Machine Learning Pipelines
    Hannes Hapke and Catherine Nelson
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  • A Machine Learning based Pairs Trading Investment Strategy : Intelligent Technologies and Robotics (R0) - Simão Moraes Sarmento
    A Machine Learning based Pairs Trading Investment Strategy
    Intelligent Technologies and Robotics (R0)
    Simão Moraes Sarmento and Nuno Horta
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  • Key Technologies of Intelligentized Welding Manufacturing : Visual Sensing of Weld Pool Dynamic Characters and Defect Prediction of GTAW Process - Zongyao Chen
    Key Technologies of Intelligentized Welding Manufacturing
    Visual Sensing of Weld Pool Dynamic Characters ...
    Zongyao Chen, Zhili Feng and Jian Chen
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  • Building Computer Vision Applications Using Artificial Neural Networks : With Step-by-Step Examples in OpenCV and TensorFlow with Python - Shamshad Ansari
    Building Computer Vision Applications Using Artificial Neural Networks
    With Step-by-Step Examples in OpenCV and Tensor...
    Shamshad Ansari
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  • Advances in Computing and Data Sciences : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24-25, 2020, Revised Selected Papers - Mayank Singh
    Advances in Computing and Data Sciences
    4th International Conference, ICACDS 2020, Vall...
    Mayank Singh, P.K. Gupta and Vipin Tyagi
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  • Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data - Michael R. Berthold
    Guide to Intelligent Data Science
    How to Intelligently Make Use of Real Data
    Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn and Rosaria Silipo
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  • Deep Learning : Adaptive Computation and Machine Learning series - Ian Goodfellow
    Deep Learning
    Adaptive Computation and Machine Learning series
    Ian Goodfellow, Yoshua Bengio and Aaron Courville
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  • Advances in Multidisciplinary Analysis and Optimization : Proceedings of the 2nd National Conference on Multidisciplinary Analysis and Optimization - Raviprakash R. Salagame
    Advances in Multidisciplinary Analysis and Optimization
    Proceedings of the 2nd National Conference on M...
    Raviprakash R. Salagame, Palaniappan Ramu and Indira Narayanaswamy
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  • Intelligent System Design : Proceedings of Intelligent System Design: INDIA 2019 - Suresh Chandra Satapathy
    Intelligent System Design
    Proceedings of Intelligent System Design: INDIA...
    Suresh Chandra Satapathy, Vikrant Bhateja and B. Janakiramaiah
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  • Advanced Machine Vision Paradigms for Medical Image Analysis : Hybrid Computational Intelligence for Pattern Analysis and Understanding - Tapan K. Gandhi
    Advanced Machine Vision Paradigms for Medical Image Analysis
    Hybrid Computational Intelligence for Pattern A...
    Tapan K. Gandhi, Debanjan Konar, Sourav De, Sandip Dey and Siddhartha Bhattacharyya
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  • Proceedings of the Fourth International Conference on Microelectronics, Computing and Communication Systems : MCCS 2019 - Vijay Nath
    Proceedings of the Fourth International Conference on Microelectronics, Computing and Communication Systems
    MCCS 2019
    Vijay Nath and J. K. Mandal
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  • Database Systems for Advanced Applications. DASFAA 2020 International Workshops : BDMS, SeCoP, BDQM, GDMA, and AIDE, Jeju, South Korea, September 24-27, 2020, Proceedings - Yunmook Nah
    Database Systems for Advanced Applications. DASFAA 2020 International Workshops
    BDMS, SeCoP, BDQM, GDMA, and AIDE, Jeju, South ...
    Yunmook Nah, Chulyun Kim, Seon-Young Kim, Yang-Sae Moon and Steven Euijong Whang
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  • Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems : Biomedical and Life Sciences (R0) - E. Priya
    Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems
    Biomedical and Life Sciences (R0)
    E. Priya and V. Rajinikanth
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  • Simulation and Synthesis in Medical Imaging : 5th International Workshop, SASHIMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings - Ninon Burgos
    Simulation and Synthesis in Medical Imaging
    5th International Workshop, SASHIMI 2020, Held ...
    Ninon Burgos, David Svoboda, Jelmer M. Wolterink and Can Zhao
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXX - Andrea Vedaldi
    Computer Vision - ECCV 2020
    16th European Conference, Glasgow, UK, August 2...
    Andrea Vedaldi, Horst Bischof, Thomas Brox and Jan-Michael Frahm
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  • Hypothesis Testing : An Intuitive Guide for Making Data Driven Decisions - Jim Frost
    Hypothesis Testing
    An Intuitive Guide for Making Data Driven Decis...
    Jim Frost
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  • Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning : Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings - Shadi Albarqouni
    Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
    Second MICCAI Workshop, DART 2020, and First MI...
    Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso and Ziyue Xu
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  • Deploying AI in the Enterprise : IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing - Eberhard Hechler
    Deploying AI in the Enterprise
    IT Approaches for Design, DevOps, Governance, C...
    Eberhard Hechler, Martin Oberhofer and Thomas Schaeck
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  • Applied Machine Learning for Health and Fitness : A Practical Guide to Machine Learning with Deep Vision, Sensors and IoT - Kevin Ashley
    Applied Machine Learning for Health and Fitness
    A Practical Guide to Machine Learning with Deep...
    Kevin Ashley
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  • Hands-on Time Series Analysis with Python : From Basics to Bleeding Edge Techniques - B V Vishwas
    Hands-on Time Series Analysis with Python
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    B V Vishwas and ASHISH PATEL
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  • A Geometric Approach to the Unification of Symbolic Structures and Neural Networks : Studies in Computational Intelligence : Book 910 - Tiansi Dong
    A Geometric Approach to the Unification of Symbolic Structures and Neural Networks
    Studies in Computational Intelligence : Book 910
    Tiansi Dong
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  • Hands-On Gradient Boosting with XGBoost and scikit-learn : Perform accessible machine learning and extreme gradient boosting with Python - Corey Wade
    Hands-On Gradient Boosting with XGBoost and scikit-learn
    Perform accessible machine learning and extreme...
    Corey Wade and Kevin Glynn
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  • Efficient Integration of 5G and Beyond Heterogeneous Networks : Computer Science (R0) - Zi-Yang Wu
    Efficient Integration of 5G and Beyond Heterogeneous Networks
    Computer Science (R0)
    Zi-Yang Wu, Muhammad Ismail, Justin Kong, Erchin Serpedin and Jiao Wang
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  • Neural-Network Simulation of Strongly Correlated Quantum Systems : Springer Theses - Stefanie Czischek
    Neural-Network Simulation of Strongly Correlated Quantum Systems
    Springer Theses
    Stefanie Czischek
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  • Intelligent and Cloud Computing : Proceedings of ICICC 2019, Volume 2 - Rajkumar Buyya
    Intelligent and Cloud Computing
    Proceedings of ICICC 2019, Volume 2
    Rajkumar Buyya, Prasant Mohapatra and Srikanta Patnaik
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  • Introduction to Deep Learning - Eugene Charniak
    Introduction to Deep Learning
    Eugene Charniak
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  • Reinforcement Learning - Phil Winder Ph.D.
    Reinforcement Learning
    Phil Winder Ph.D.
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  • Chinese Computational Linguistics : 19th China National Conference, CCL 2020, Hainan, China, October 30 - November 1, 2020, Proceedings - Maosong Sun
    Chinese Computational Linguistics
    19th China National Conference, CCL 2020, Haina...
    Maosong Sun, Sujian Li and Yue Zhang
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XIV - Andrea Vedaldi
    Computer Vision - ECCV 2020
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  • Computer Vision - ECCV 2020 : 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XXVI - Andrea Vedaldi
    Computer Vision - ECCV 2020
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    Andrea Vedaldi, Horst Bischof and Thomas Brox
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  • IoT Machine Learning Applications in Telecom, Energy, and Agriculture : With Raspberry Pi and Arduino Using Python - Puneet Mathur
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    Puneet Mathur
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  • Linear Algebra and Optimization for Machine Learning : A Textbook - Charu C. Aggarwal
    Linear Algebra and Optimization for Machine Learning
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    Charu C. Aggarwal
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  • Programming Machine Learning : From Coding to Deep Learning - Paolo Perrotta
    Programming Machine Learning
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    Paolo Perrotta
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  • Intelligent Human Computer Interaction : 11th International Conference, IHCI 2019, Allahabad, India, December 12-14, 2019, Proceedings - Uma Shanker Tiwary
    Intelligent Human Computer Interaction
    11th International Conference, IHCI 2019, Allah...
    Uma Shanker Tiwary and Santanu Chaudhury
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  • First-order and Stochastic Optimization Methods for Machine Learning : Springer Series in the Data Sciences - Guanghui Lan
    First-order and Stochastic Optimization Methods for Machine Learning
    Springer Series in the Data Sciences
    Guanghui Lan
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  • New Age Analytics : Transforming the Internet through Machine Learning, IoT, and Trust Modeling - Gulshan Shrivastava
    New Age Analytics
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    Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma and Meenakshi Sharma
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 5th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Revised Selected Papers, Part I - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    5th International Workshop, BrainLes 2019, Held...
    Alessandro Crimi and ?Spyridon Bakas
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    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    5th International Workshop, BrainLes 2019, Held...
    Alessandro Crimi and ?Spyridon Bakas
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  • Opinion Mining in Information Retrieval : Intelligent Technologies and Robotics (R0) - Surbhi Bhatia
    Opinion Mining in Information Retrieval
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    Surbhi Bhatia, Poonam Chaudhary and Nilanjan Dey
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  • Blended Learning : Convergence between Technology and Pedagogy - Antonio Víctor MartínGarcía
    Blended Learning
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    Antonio Víctor MartínGarcía
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  • Internet of Things : Concepts and System Design - Milan Milenkovic
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    Milan Milenkovic
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  • Deep Neural Evolution : Deep Learning with Evolutionary Computation - Hitoshi Iba
    Deep Neural Evolution
    Deep Learning with Evolutionary Computation
    Hitoshi Iba and ?Nasimul Noman
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  • Computer Vision and Image Processing : 4th International Conference, CVIP 2019, Jaipur, India, September 27-29, 2019, Revised Selected Papers, Part II - Neeta Nain
    Computer Vision and Image Processing
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    Neeta Nain, ?Santosh Kumar Vipparthi and ?Balasubramanian Raman
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