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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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  • Outlier Detection in Python - Brett Kennedy
    Outlier Detection in Python
    Brett Kennedy
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  • Inverse Engineering Handbook : Handbook Series for Mechanical Engineering - Keith A. Woodbury
    Inverse Engineering Handbook
    Handbook Series for Mechanical Engineering
    Keith A. Woodbury
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  • Face Detection and Recognition : Theory and Practice - Asit Kumar Datta
    Face Detection and Recognition
    Theory and Practice
    Asit Kumar Datta, Madhura Datta and Pradipta Kumar Banerjee
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  • Handbook of Natural Language Processing : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Nitin Indurkhya
    Handbook of Natural Language Processing
    Chapman & Hall/CRC Machine Learning & Pattern R...
    Nitin Indurkhya and Fred J. Damerau
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  • Computational Trust Models and Machine Learning : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Xin Liu
    Computational Trust Models and Machine Learning
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    Xin Liu, Anwitaman Datta and Ee-Peng Lim
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  • Handbook of Hidden Markov Models in Bioinformatics - Martin Gollery
    Handbook of Hidden Markov Models in Bioinformatics
    Martin Gollery
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  • Statistical Learning with Sparsity : The Lasso and Generalizations - Trevor Hastie
    Statistical Learning with Sparsity
    The Lasso and Generalizations
    Trevor Hastie, Robert Tibshirani and Martin Wainwright
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  • Australian Stories
  • Computational Statistics Handbook with MATLAB : Chapman & Hall/CRC Computer Science & Data Analysis - Wendy L. Martinez
    Computational Statistics Handbook with MATLAB
    Chapman & Hall/CRC Computer Science & Data Anal...
    Wendy L. Martinez and Angel R. Martinez
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  • Multimedia over Cognitive Radio Networks : Algorithms, Protocols, and Experiments - Fei Hu
    Multimedia over Cognitive Radio Networks
    Algorithms, Protocols, and Experiments
    Fei Hu and Sunil Kumar
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  • Text Mining : Classification, Clustering, and Applications - Ashok N. Srivastava
    Text Mining
    Classification, Clustering, and Applications
    Ashok N. Srivastava and Mehran Sahami
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  • Sparse Modeling : Theory, Algorithms, and Applications - Irina Rish
    Sparse Modeling
    Theory, Algorithms, and Applications
    Irina Rish and Genady Grabarnik
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  • Generic and Energy-Efficient Context-Aware Mobile Sensing - Ozgur Yurur
    Generic and Energy-Efficient Context-Aware Mobile Sensing
    Ozgur Yurur and Chi Harold Liu
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  • Practical Guide to Machine Learning, NLP, and Generative AI : Libraries, Algorithms, and Applications - T. Mariprasath
    Practical Guide to Machine Learning, NLP, and Generative AI
    Libraries, Algorithms, and Applications
    T. Mariprasath, Kumar Reddy Cheepati and Marco Rivera
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  • The Rise of Intelligent Machines : A Multi-disciplinary Perspective from Industry and Impact on Higher Education - Nadya Shaznay Patel
    The Rise of Intelligent Machines
    A Multi-disciplinary Perspective from Industry ...
    Nadya Shaznay Patel and Nitin Indurkhya
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  • AI Engineering : Building Applications with Foundation Models - Chip Huyen
    AI Engineering
    Building Applications with Foundation Models
    Chip Huyen
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  • Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXV - Apostolos Antonacopoulos
    Pattern Recognition
    27th International Conference, ICPR 2024, Kolka...
    Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu and Umapada Pal
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  • AI : The New Gold Rush - Don Edwards
    AI
    The New Gold Rush
    Don Edwards
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  • Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XIV - Aleš Leonardis
    Computer Vision - ECCV 2024
    18th European Conference, Milan, Italy, Septemb...
    Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky and Gül Varol
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  • Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part III - Apostolos Antonacopoulos
    Pattern Recognition
    27th International Conference, ICPR 2024, Kolka...
    Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu and Umapada Pal
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  • Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXII - Apostolos Antonacopoulos
    Pattern Recognition
    27th International Conference, ICPR 2024, Kolka...
    Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu and Umapada Pal
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  • Biological Computation : Chapman & Hall/CRC Computational Biology Series - Ehud Lamm
    Biological Computation
    Chapman & Hall/CRC Computational Biology Series
    Ehud Lamm and Ron Unger
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  • Statistical Data Mining Using SAS Applications : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - George Fernandez
    Statistical Data Mining Using SAS Applications
    Chapman & Hall/CRC Data Mining and Knowledge Di...
    George Fernandez
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  • The Top Ten Algorithms in Data Mining : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Xindong Wu
    The Top Ten Algorithms in Data Mining
    Chapman & Hall/CRC Data Mining and Knowledge Di...
    Xindong Wu and Vipin Kumar
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  • Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part V - Aleš Leonardis
    Computer Vision - ECCV 2024
    18th European Conference, Milan, Italy, Septemb...
    Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky and Gül Varol
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  • Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LVI - Aleš Leonardis
    Computer Vision - ECCV 2024
    18th European Conference, Milan, Italy, Septemb...
    Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky and Gül Varol
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  • Reinforcement Learning Methods in Speech and Language Technology : Engineering (R0) - Baihan Lin
    Reinforcement Learning Methods in Speech and Language Technology
    Engineering (R0)
    Baihan Lin
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  • Systems Biology and Machine Learning Methods in Reproductive Health : Chapman & Hall/CRC Computational Biology Series - Abhishek Sengupta
    Systems Biology and Machine Learning Methods in Reproductive Health
    Chapman & Hall/CRC Computational Biology Series
    Abhishek Sengupta, Priyanka Narad, Dinesh Gupta and Deepak Modi
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    $173.79
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  • Statistics with Rust, Second Edition : Explore rust programming and its powerful crates across data science, machine learning and NLP projects - Keiko Nakamura
    Statistics with Rust, Second Edition
    Explore rust programming and its powerful crate...
    Keiko Nakamura
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  • Statistics with Rust, Second Edition - Keiko Nakamura
    Statistics with Rust, Second Edition
    Keiko Nakamura
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  • Advancing Healthcare through Data-driven Innovations - Gunjan Rehani
    Advancing Healthcare through Data-driven Innovations
    Gunjan Rehani, Aditya Gupta and Vibha Jain
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    $121.99
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  • Artificial Intelligence : Technical and Societal Advancements - Utku Kose
    Artificial Intelligence
    Technical and Societal Advancements
    Utku Kose and Mustafa Umut Demirezen
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  • Big Data Analytics : A Practical Guide for Managers - Kim H. Pries
    Big Data Analytics
    A Practical Guide for Managers
    Kim H. Pries and Robert Dunnigan
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    $108.89
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  • Probability for Information Technology : Computer Science (R0) - Changho Suh
    Probability for Information Technology
    Computer Science (R0)
    Changho Suh
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  • Intelligent Data Warehousing : From Data Preparation to Data Mining - Zhengxin Chen
    Intelligent Data Warehousing
    From Data Preparation to Data Mining
    Zhengxin Chen
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  • Homomorphic Encryption for Data Science (HE4DS) : Professional and Applied Computing (R0) - Allon Adir
    Homomorphic Encryption for Data Science (HE4DS)
    Professional and Applied Computing (R0)
    Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy and Omri Soceanu
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  • Practical Data Mining - Jr. Hancock
    Practical Data Mining
    Jr. Hancock
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  • Music Data Mining : Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Tao Li
    Music Data Mining
    Chapman & Hall/CRC Data Mining and Knowledge Di...
    Tao Li, Mitsunori Ogihara and George Tzanetakis
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  • Optimizing Generative AI Workloads for Sustainability : Balancing Performance and Environmental Impact in Generative AI - Ishneet Kaur Dua
    Optimizing Generative AI Workloads for Sustainability
    Balancing Performance and Environmental Impact ...
    Ishneet Kaur Dua and Parth Girish Patel
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  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 : 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV - Marius George Linguraru
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2024
    27th International Conference, Marrakesh, Moroc...
    Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou and Julia A. Schnabel
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  • STEMisphere :
    STEMisphere
    "Where Learning Takes Flight"
    T B. McKenzie
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  • Natural Language Generation : Artificial Intelligence (R0) - Ehud Reiter
    Natural Language Generation
    Artificial Intelligence (R0)
    Ehud Reiter
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  • Advanced Methods in Statistics, Data Science and Related Applications : SIS 2022, Caserta, Italy, June 22-24 - Matilde Bini
    Advanced Methods in Statistics, Data Science and Related Applications
    SIS 2022, Caserta, Italy, June 22-24
    Matilde Bini, Antonio Balzanella, Lucio Masserini and Rosanna Verde
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    $279.00
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  • Learning PyTorch 2.0, Second Edition - Matthew Rosch
    Learning PyTorch 2.0, Second Edition
    Matthew Rosch
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  • Learning PyTorch 2.0, Second Edition : Utilize PyTorch 2.3 and CUDA 12 to experiment neural networks and deep learning models - Matthew Rosch
    Learning PyTorch 2.0, Second Edition
    Utilize PyTorch 2.3 and CUDA 12 to experiment n...
    Matthew Rosch
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  • Formal Methods for Safe Autonomy : Data-driven Verification, Synthesis, and Applications - Chuchu Fan
    Formal Methods for Safe Autonomy
    Data-driven Verification, Synthesis, and Applic...
    Chuchu Fan
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  • Causal Inference : 6th Pacific Causal Inference Conference, PCIC 2024, Shanghai, China, July 5-6, 2024, Revised Selected Papers - Xiao-Hua Zhou
    Causal Inference
    6th Pacific Causal Inference Conference, PCIC 2...
    Xiao-Hua Zhou and Jinzhu Jia
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  • Advances in Computing and Data Sciences : 8th International Conference, ICACDS 2024, Velizy, France, May 9-10, 2024, Revised Selected Papers - Mayank Singh
    Advances in Computing and Data Sciences
    8th International Conference, ICACDS 2024, Veli...
    Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser and Ravi Tomar
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  • Prediction in Medicine : The Impact of Machine Learning on Healthcare - Neeta Verma
    Prediction in Medicine
    The Impact of Machine Learning on Healthcare
    Neeta Verma, Anjali Singhal, Vijai Singh and Manoj Kumar
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  • Collective Intelligence : The Rise of Swarm Systems and their Impact on Society - Uwe Seebacher
    Collective Intelligence
    The Rise of Swarm Systems and their Impact on S...
    Uwe Seebacher and Christoph Legat
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  • Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV - Zhouchen Lin
    Pattern Recognition and Computer Vision
    7th Chinese Conference, PRCV 2024, Urumqi, Chin...
    Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul and Cheng-Lin Liu
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  • Drug Development Supported by Informatics : Medicine (R0) - Hiroko Satoh
    Drug Development Supported by Informatics
    Medicine (R0)
    Hiroko Satoh, Kimito Funatsu and Hiroshi Yamamoto
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  • Handbook of AI and Data Sciences for Sleep Disorders : Mathematics and Statistics (R0) - Richard B. Berry
    Handbook of AI and Data Sciences for Sleep Disorders
    Mathematics and Statistics (R0)
    Richard B. Berry, Panos M. Pardalos and Xiaochen Xian
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  • Energy Informatics : 4th Energy Informatics Academy Conference, EI.A 2024, Kuta, Bali, Indonesia, October 23-25, 2024, Proceedings, Part I - Bo Nørregaard Jørgensen
    Energy Informatics
    4th Energy Informatics Academy Conference, EI.A...
    Bo Nørregaard Jørgensen, Zheng Grace Ma, Fransisco Danang Wijaya, Roni Irnawan and Sarjiya Sarjiya
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  • Advances in Neural Computation, Machine Learning, and Cognitive Research VIII : Selected Papers from the XXVI International Conference on Neuroinformatics, October 21-25, 2024, Moscow, Russia - Boris Kryzhanovsky
    Advances in Neural Computation, Machine Learning, and Cognitive Research VIII
    Selected Papers from the XXVI International Con...
    Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev and Dmitry Yudin
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  • Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part II - Aleš Leonardis
    Computer Vision - ECCV 2024
    18th European Conference, Milan, Italy, Septemb...
    Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky and Gül Varol
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  • Pattern Recognition and Computer Vision : 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V - Zhouchen Lin
    Pattern Recognition and Computer Vision
    7th Chinese Conference, PRCV 2024, Urumqi, Chin...
    Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul and Cheng-Lin Liu
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  • Wireless Ad-hoc and Sensor Networks : Architecture, Protocols, and Applications - Pawan Singh
    Wireless Ad-hoc and Sensor Networks
    Architecture, Protocols, and Applications
    Pawan Singh, Sudesh Kumar, Sachin Kumar Gupta, Abhay Kumar Rai and Abdu Saif
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  • Artificial Intelligence based Solutions for Industrial Applications : Computational Methods for Industrial Applications - Pooja Jha
    Artificial Intelligence based Solutions for Industrial Applications
    Computational Methods for Industrial Applications
    Pooja Jha, Shalini Mahato, Prasanta K. Jana, Sudhanshu Maurya and Ines Chihi
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  • Evolution and Advances in Computing Technologies for Industry 6.0 : Technology, Practices, and Challenges - C. Kishor Kumar Reddy
    Evolution and Advances in Computing Technologies for Industry 6.0
    Technology, Practices, and Challenges
    C. Kishor Kumar Reddy, Srinath Doss, Surbhi Bhatia Khan and Abdulmajeed Alqhatani
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  • Empowering Digital Education with ChatGPT : From Theoretical to Practical Applications - Mohamed Lahby
    Empowering Digital Education with ChatGPT
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    Mohamed Lahby
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  • Embedded Machine Learning with Microcontrollers : Applications on Arduino Boards - Cem Ünsalan
    Embedded Machine Learning with Microcontrollers
    Applications on Arduino Boards
    Cem Ünsalan, Berkan Höke and Eren Atmaca
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  • Computer Vision - ECCV 2024 : 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part IX - Aleš Leonardis
    Computer Vision - ECCV 2024
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    Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky and Gül Varol
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  • Computation of Artificial Intelligence and Machine Learning : First International Conference, ICCAIML 2024, Jaipur, India, January 18-19, 2024, Proceedings, Part I - Amit Kumar Bairwa
    Computation of Artificial Intelligence and Machine Learning
    First International Conference, ICCAIML 2024, J...
    Amit Kumar Bairwa, Varun Tiwari, Santosh Kumar Vishwakarma, Milan Tuba and Thittaporn Ganokratanaa
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  • Computation of Artificial Intelligence and Machine Learning : First International Conference, ICCAIML 2024, Jaipur, India, January 18-19, 2024, Proceedings, Part II - Amit Kumar Bairwa
    Computation of Artificial Intelligence and Machine Learning
    First International Conference, ICCAIML 2024, J...
    Amit Kumar Bairwa, Varun Tiwari, Santosh Kumar Vishwakarma, Milan Tuba and Thittaporn Ganokratanaa
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  • Machine Learning in Medical Imaging : 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part II - Xuanang Xu
    Machine Learning in Medical Imaging
    15th International Workshop, MLMI 2024, Held in...
    Xuanang Xu, Zhiming Cui, Islem Rekik, Xi Ouyang and Kaicong Sun
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  • Artificial Neural Networks : Alpha Unpredictability and Chaotic Dynamics - Marat Akhmet
    Artificial Neural Networks
    Alpha Unpredictability and Chaotic Dynamics
    Marat Akhmet, Madina Tleubergenova, Akylbek Zhamanshin and Zakhira Nugayeva
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  • Machine Learning in Medical Imaging : 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings, Part I - Xuanang Xu
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