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  • Mathematical Entity Linking Methods and Applications : Computer Science and Engineering (German Language) - Philipp Scharpf
    Mathematical Entity Linking Methods and Applications
    Computer Science and Engineering (German Language)
    Philipp Scharpf
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  • Reciprocal Recommender Systems - James Neve
    Reciprocal Recommender Systems
    James Neve
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  • Model and Data Engineering : 13th International Conference, MEDI 2024, Naples, Italy, November 18-20, 2024, Proceedings - Carlos Ordonez
    Model and Data Engineering
    13th International Conference, MEDI 2024, Naple...
    Carlos Ordonez, Giancarlo Sperlì, Elio Masciari and Ladjel Bellatreche
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  • AI in Banking : Practical Applications and Case Studies - Liyu Shao
    AI in Banking
    Practical Applications and Case Studies
    Liyu Shao, Qin Chen and Min He
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  • Communication and Applied Technologies : Proceedings of ICOMTA 2024 - Daniel Barredo Ibáñez
    Communication and Applied Technologies
    Proceedings of ICOMTA 2024
    Daniel Barredo Ibáñez, Eliana Gallardo-Echenique, Hotniar Siringoringo and Nieves Lagares Diez
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  • Explainable and Customizable Job Sequencing and Scheduling : Advancing Production Control and Management with XAI - Tin-Chih Toly Chen
    Explainable and Customizable Job Sequencing and Scheduling
    Advancing Production Control and Management wit...
    Tin-Chih Toly Chen
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  • Statistical Optimal Transport : Ecole d'Ete de Probabilites de Saint-Flour XLIX - 2019 - Sinho Chewi
    Statistical Optimal Transport
    Ecole d'Ete de Probabilites de Saint-Flour XLIX...
    Sinho Chewi, Jonathan Niles-Weed and Philippe Rigollet
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  • Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance : Life Science and Basic Disciplines (German Language) - Patrick Klein
    Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance
    Life Science and Basic Disciplines (German Lang...
    Patrick Klein
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  • R Programming for Mass Spectrometry : Effective and Reproducible Data Analysis - Randall K. Julian
    R Programming for Mass Spectrometry
    Effective and Reproducible Data Analysis
    Randall K. Julian
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  • Computational Intelligence Methods for Bioinformatics and Biostatistics : 19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024, Revised Selected Papers - Luigi Cerulo
    Computational Intelligence Methods for Bioinformatics and Biostatistics
    19th International Meeting, CIBB 2024, Benevent...
    Luigi Cerulo, Francesco Napolitano, Francesco Bardozzo, Lu Cheng and Stefano M. Pagnotta
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  • Plant Model Greenlab for Botany and Agronomy : Biomedical and Life Sciences (R0) - Philippe De Reffye
    Plant Model Greenlab for Botany and Agronomy
    Biomedical and Life Sciences (R0)
    Philippe De Reffye, Mengzhen Kang, Marc Jaeger and Baogui Zhang
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  • Research Challenges in Information Science : 19th International Conference, RCIS 2025, Seville, Spain, May 20-23, 2025, Proceedings, Part II - J?nis Grabis
    Research Challenges in Information Science
    19th International Conference, RCIS 2025, Sevil...
    J?nis Grabis, Tanja E. J. Vos, Maria José Escalona and Oscar Pastor
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  • Leveraging Emerging Technologies and Analytics for Empowering Humanity, Vol. 1 : International Conference Proceedings of LEAD-2024, IIM Shillong, December 10-12 - D P Goyal
    Leveraging Emerging Technologies and Analytics for Empowering Humanity, Vol. 1
    International Conference Proceedings of LEAD-20...
    D P Goyal, Suprateek Sarker, Somnath Mukhopadhyay, Basav Roychoudhury and Pradeep Kumar Dadabada
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  • Soft Computing and Its Engineering Applications : 6th International Conference, icSoftComp 2024, Bangkok, Thailand, December 10-12, 2024, Revised Selected Papers, Part I - Kanubhai K. Patel
    Soft Computing and Its Engineering Applications
    6th International Conference, icSoftComp 2024, ...
    Kanubhai K. Patel, KC Santosh, Gabriel Gomes de Oliveira, Atul Patel and Ashish Ghosh
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  • Data Science and Big Data Analytics : Proceedings of IDBA 2024 - Durgesh Mishra
    Data Science and Big Data Analytics
    Proceedings of IDBA 2024
    Durgesh Mishra, Xin-She Yang, Aynur Unal and Dharm Singh Jat
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  • The Probabilistic Vision of the Physical World : A Point of View of Earth Sciences - Fernando Sansò
    The Probabilistic Vision of the Physical World
    A Point of View of Earth Sciences
    Fernando Sansò and Alberta Albertella
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  • Research Challenges in Information Science : 19th International Conference, RCIS 2025, Seville, Spain, May 20-23, 2025, Proceedings, Part I - J?nis Grabis
    Research Challenges in Information Science
    19th International Conference, RCIS 2025, Sevil...
    J?nis Grabis, Tanja E. J. Vos, Maria José Escalona and Oscar Pastor
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  • Cultural Data Science : An Introduction to R - Harald Klinke
    Cultural Data Science
    An Introduction to R
    Harald Klinke
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  • Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data : MICCAI 2024 Challenges: ToothFairy 2024, 3DTeethLand 2024, and STS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings - Yaqi Wang
    Supervised and Semi-supervised Multi-structure Segmentation and Landmark Detection in Dental Data
    MICCAI 2024 Challenges: ToothFairy 2024, 3DTeet...
    Yaqi Wang, Dahong Qian, Shuai Wang, Achraf Ben-Hamadou and Federico Bolelli
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  • Scale Space and Variational Methods in Computer Vision : 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part I - Tatiana A. Bubba
    Scale Space and Variational Methods in Computer Vision
    10th International Conference, SSVM 2025, Darti...
    Tatiana A. Bubba, Romina Gaburro, Silvia Gazzola, Kostas Papafitsoros and Carola-Bibiane Schönlieb
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  • Scale Space and Variational Methods in Computer Vision : 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part II - Tatiana A. Bubba
    Scale Space and Variational Methods in Computer Vision
    10th International Conference, SSVM 2025, Darti...
    Tatiana A. Bubba, Romina Gaburro, Silvia Gazzola, Kostas Papafitsoros and Carola-Bibiane Schönlieb
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  • Measure Theory and Advanced Probability - Azhar ul Haque Sario
    Measure Theory and Advanced Probability
    Azhar ul Haque Sario
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  • Copula Additive Distributional Regression Using R : Chapman & Hall/CRC The R Series - Giampiero Marra
    Copula Additive Distributional Regression Using R
    Chapman & Hall/CRC The R Series
    Giampiero Marra and Rosalba Radice
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  • Deep Learning in Ad-Hoc Wireless Networks : Intelligent Technologies and Robotics (R0) - Gokhan ALTAN
    Deep Learning in Ad-Hoc Wireless Networks
    Intelligent Technologies and Robotics (R0)
    Gokhan ALTAN and Ipek ABASIKELE? TURGUT
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  • Deep Learning in Personalized Music Emotion Recognition : Life Science and Basic Disciplines (German Language) - Yannik Venohr
    Deep Learning in Personalized Music Emotion Recognition
    Life Science and Basic Disciplines (German Lang...
    Yannik Venohr
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    $129.00
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  • Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. : 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Revised Selected Papers - Oscar Camara
    Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers.
    15th International Workshop, STACOM 2024, Held ...
    Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra and Alistair Young
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  • Elements of Network Science : Theory, Methods and Applications in Stata, R and Python - Antonio Zinilli
    Elements of Network Science
    Theory, Methods and Applications in Stata, R an...
    Antonio Zinilli
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    $169.00
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  • Basic Principles of Applied Medical Statistics : A Practical Guide - Jos W. R. Twisk
    Basic Principles of Applied Medical Statistics
    A Practical Guide
    Jos W. R. Twisk
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  • DESCRIPTIVE AND INFERENTIAL STATISTICS. Problems and solutions - Mariano Méndez-Suárez
    DESCRIPTIVE AND INFERENTIAL STATISTICS. Problems and solutions
    Mariano Méndez-Suárez
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  • Machine Learning for Drone-Enabled IoT Networks : Opportunities, Developments, and Trends - Jahan Hassan
    Machine Learning for Drone-Enabled IoT Networks
    Opportunities, Developments, and Trends
    Jahan Hassan, Sara Khalifa and Prasant Misra
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    $299.00
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  • The Stochastic Nature of Environmental Phenomena and Processes : Earth and Environmental Science (R0) - Georgy Golitsyn
    The Stochastic Nature of Environmental Phenomena and Processes
    Earth and Environmental Science (R0)
    Georgy Golitsyn and Costas Varotsos
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    $269.01
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  • Big Data and Data Science Engineering : Volume 7 - Roger Lee
    Big Data and Data Science Engineering
    Volume 7
    Roger Lee
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  • Survival Analysis : Efficient Nonparametric Curve Estimation For Censored Data with R Examples - Sam Efromovich
    Survival Analysis
    Efficient Nonparametric Curve Estimation For Ce...
    Sam Efromovich
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  • Generalized Linear Models and Extensions : Mathematics and Statistics (R0) - M. Ataharul Islam
    Generalized Linear Models and Extensions
    Mathematics and Statistics (R0)
    M. Ataharul Islam and Soma Chowdhury Biswas
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  • Advances in Intelligent Data Analysis XXIII : 23rd International Symposium on Intelligent Data Analysis, IDA 2025, Konstanz, Germany, May 7-9, 2025, Proceedings - Georg Krempl
    Advances in Intelligent Data Analysis XXIII
    23rd International Symposium on Intelligent Dat...
    Georg Krempl, Kai Puolamäki and Ioanna Miliou
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  • Decision Making and Security Risk Management for IoT Environments : Computer Science (R0) - Wadii Boulila
    Decision Making and Security Risk Management for IoT Environments
    Computer Science (R0)
    Wadii Boulila, Jawad Ahmad, Anis Koubaa, Maha Driss and Imed Riadh Farah
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  • Computational Intelligence in Machine Learning : Proceedings of the 2nd International Conference ICCIML 2022 - Vinit Kumar Gunjan
    Computational Intelligence in Machine Learning
    Proceedings of the 2nd International Conference...
    Vinit Kumar Gunjan, Amit Kumar, Jacek M. Zurada and Sri Niwas Singh
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  • Mathematical Modelling of Zombies - Robert Smith?
    Mathematical Modelling of Zombies
    Robert Smith?
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  • Pattern Recognition Applications and Methods : 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers - Maria De Marsico
    Pattern Recognition Applications and Methods
    12th International Conference, ICPRAM 2023, Lis...
    Maria De Marsico, Gabriella Sanniti Di Baja and Ana Fred
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  • Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector : Mathematics and Statistics (R0) - Vitor Joao Pereira Domingues Martinho
    Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector
    Mathematics and Statistics (R0)
    Vitor Joao Pereira Domingues Martinho
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  • Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning : A Practical Strategy via Structural Displacements from Synthetic Aperture Radar Images - Alireza Entezami
    Long-Term Structural Health Monitoring by Remote Sensing and Advanced Machine Learning
    A Practical Strategy via Structural Displacemen...
    Alireza Entezami, Bahareh Behkamal and Carlo De Michele
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  • Communication and Applied Technologies : Proceedings of ICOMTA 2023 - Daniel Barredo Ibáñez
    Communication and Applied Technologies
    Proceedings of ICOMTA 2023
    Daniel Barredo Ibáñez, Laura M. Castro, Araceli Espinosa, Iván Puentes-Rivera and Paulo Carlos López-López
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  • Computing, Internet of Things and Data Analytics : Selected papers from the International Conference on Computing, IoT and Data Analytics (ICCIDA) - Fausto Pedro García Márquez
    Computing, Internet of Things and Data Analytics
    Selected papers from the International Conferen...
    Fausto Pedro García Márquez, Akhtar Jamil, Isaac Segovia Ramirez, Süleyman Eken and Alaa Ali Hameed
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  • Philosophies, Puzzles and Paradoxes : A Statistician's Search for Truth - Yudi Pawitan
    Philosophies, Puzzles and Paradoxes
    A Statistician's Search for Truth
    Yudi Pawitan and Youngjo Lee
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  • Notes on Tug-of-War Games and the p-Laplace Equation : Mathematics and Statistics (R0) - Mikko Parviainen
    Notes on Tug-of-War Games and the p-Laplace Equation
    Mathematics and Statistics (R0)
    Mikko Parviainen
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  • Data Science and Applications : Proceedings of ICDSA 2023, Volume 4 - Satyasai Jagannath Nanda
    Data Science and Applications
    Proceedings of ICDSA 2023, Volume 4
    Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Amir H. Gandomi and Mukesh Saraswat
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  • Mathematical Analysis and Numerical Methods : IACMC 2023, Zarqa, Jordan, May 10-12 - Aliaa Burqan
    Mathematical Analysis and Numerical Methods
    IACMC 2023, Zarqa, Jordan, May 10-12
    Aliaa Burqan, Rania Saadeh, Ahmad Qazza, Osama Yusuf Ababneh and Dia Zeidan
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  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 : 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII - 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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  • Statistics Explained - Perry R. Hinton
    Statistics Explained
    Perry R. Hinton
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  • Fundamental Concepts for New Clinical Trialists : Chapman & Hall/CRC Biostatistics Series - Scott Evans
    Fundamental Concepts for New Clinical Trialists
    Chapman & Hall/CRC Biostatistics Series
    Scott Evans and Naitee Ting
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  • AP Statistics Premium, 2026 : Prep Book with 9 Practice Tests + Comprehensive Review + Online Practice - Martin Sternstein Ph.D.
    AP Statistics Premium, 2026
    Prep Book with 9 Practice Tests + Comprehensive...
    Martin Sternstein Ph.D.
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  • An Introduction to Statistical Data Science : Theory and Models - Giorgio Picci
    An Introduction to Statistical Data Science
    Theory and Models
    Giorgio Picci
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  • Affective Computing for Social Good : Enhancing Well-being, Empathy, and Equity - Muskan Garg
    Affective Computing for Social Good
    Enhancing Well-being, Empathy, and Equity
    Muskan Garg and Rajesh Shardanand Prasad
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  • Discrete Stochastic Processes : Tools for Machine Learning and Data Science - Nicolas Privault
    Discrete Stochastic Processes
    Tools for Machine Learning and Data Science
    Nicolas Privault
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  • Deep Generative Models : 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings - Anirban Mukhopadhyay
    Deep Generative Models
    4th MICCAI Workshop, DGM4MICCAI 2024, Held in C...
    Anirban Mukhopadhyay, Ilkay Oksuz, Sandy Engelhardt, Dorit Mehrof and Yixuan Yuan
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  • Cancer Prevention, Detection, and Intervention : Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings - Sharib Ali
    Cancer Prevention, Detection, and Intervention
    Third MICCAI Workshop, CaPTion 2024, Held in Co...
    Sharib Ali, Fons van der Sommen, Bart?omiej W?adys?aw Papie?, Noha Ghatwary and Iris Kolenbrander
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  • Statistical Machine Learning for Engineering with Applications : Mathematics and Statistics (R0) - Jürgen Franke
    Statistical Machine Learning for Engineering with Applications
    Mathematics and Statistics (R0)
    Jürgen Franke and Anita Schöbel
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  • Decoding Black Swans and Other Historic Risk Events : Themes of Progress and Opportunity for Risk Science - Shital Thekdi
    Decoding Black Swans and Other Historic Risk Events
    Themes of Progress and Opportunity for Risk Sci...
    Shital Thekdi and Terje Aven
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  • Advances on Graph-Based Approaches in Information Retrieval : First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024, Proceedings - Ludovico Boratto
    Advances on Graph-Based Approaches in Information Retrieval
    First International Workshop, IRonGraphs 2024, ...
    Ludovico Boratto, Daniele Malitesta, Mirko Marras, Giacomo Medda and Erasmo Purificato
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  • Plausibility and the Solution to the Behrens-Fisher Problem - Brian Darbyshire
    Plausibility and the Solution to the Behrens-Fisher Problem
    Brian Darbyshire
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  • Elliptically Symmetric Distributions in Signal Processing and Machine Learning : Engineering (R0) - Jean-Pierre Delmas
    Elliptically Symmetric Distributions in Signal Processing and Machine Learning
    Engineering (R0)
    Jean-Pierre Delmas, Mohammed Nabil El Korso, Stefano Fortunati and Frédéric Pascal
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