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  • Emergence as Harmony : Mathematical Principles of Self-Organization, Complexity, and Collective Behavior - Venkat Venkatasubramanian
    Emergence as Harmony
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    Venkat Venkatasubramanian
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  • Networks : Probability and Statistics - A. D. Barbour
    Networks
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    A. D. Barbour and Gesine Reinert
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  • All of Regression - Isabella Verdinelli
    All of Regression
    Isabella Verdinelli and Larry Wasserman
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  • Mastering data.table in R : Programming Techniques for Data Science - David Shilane
    Mastering data.table in R
    Programming Techniques for Data Science
    David Shilane
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  • Handbook of Statistics of Extremes : Chapman & Hall/CRC Handbooks of Modern Statistical Methods - Miguel de Carvalho
    Handbook of Statistics of Extremes
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    Miguel de Carvalho, Raphaël Huser, Philippe Naveau and Brian J. Reich
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    November 26th Release
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  • An Introduction to Metascience and the Critical Appraisal of Research : From First Principles to Complex Concepts - Alex Byrnes
    An Introduction to Metascience and the Critical Appraisal of Research
    From First Principles to Complex Concepts
    Alex Byrnes
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  • Principles of Portfolio Choice : An Information-Theoretic, Likelihood-Based Perspective - Jan Vecer
    Principles of Portfolio Choice
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    Jan Vecer
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    November 27th Release
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  • Modern Panel Data Econometrics : A Practical Approach Using STATA - Moch. Doddy Ariefianto
    Modern Panel Data Econometrics
    A Practical Approach Using STATA
    Moch. Doddy Ariefianto and Mahjus Ekananda
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  • Machine Learning for Survival Analysis - Andreas Bender
    Machine Learning for Survival Analysis
    Andreas Bender and Raphael Sonabend
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  • Introduction to Data Science : Statistics and Prediction Algorithms Through Case Studies - Rafael A. Irizarry
    Introduction to Data Science
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    Rafael A. Irizarry
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  • Anti-Analytics : How Not to and How to Use Data Analytics in Business - Eduardo Rodriguez
    Anti-Analytics
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    Eduardo Rodriguez
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    November 30th Release
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  • An Introduction to Applied Bayesian Methods - Gilbert W. Fellingham
    An Introduction to Applied Bayesian Methods
    Gilbert W. Fellingham and Scott A. Baldwin
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  • Statistical Methods and Applications Using Quantiles - Marco Geraci
    Statistical Methods and Applications Using Quantiles
    Marco Geraci
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  • Stochastic Processes Using Python - Vasilis Pagonis
    Stochastic Processes Using Python
    Vasilis Pagonis
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  • Applied Spatial Statistics and Econometrics : Data Analysis in R - Katarzyna Kopczewska
    Applied Spatial Statistics and Econometrics
    Data Analysis in R
    Katarzyna Kopczewska
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    November 13th Release
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  • Machine Learning in Health Care : With R, H2O and Keras 3 - Uli Schell
    Machine Learning in Health Care
    With R, H2O and Keras 3
    Uli Schell and Claudia Scherl
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    December 9th Release
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  • Risk Management Strategies Using Fuzzy Optimization Techniques - Kandarp Vidyasagar
    Risk Management Strategies Using Fuzzy Optimization Techniques
    Kandarp Vidyasagar, Rajiv Kumar Dwivedi, Chandrani Singh and Valentina Emilia Balas
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  • How to Use SPSS® : A Step-By-Step Guide to Analysis and Interpretation - Brian C. Cronk
    How to Use SPSS®
    A Step-By-Step Guide to Analysis and Interpreta...
    Brian C. Cronk
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    November 27th Release
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  • Analysis of Correlated Data with SAS and R - Mohamed M. Shoukri
    Analysis of Correlated Data with SAS and R
    Mohamed M. Shoukri
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  • Computational Probability with Python : Theory, Simulation, and Actuarial Applications - Guojun Gan
    Computational Probability with Python
    Theory, Simulation, and Actuarial Applications
    Guojun Gan
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    November 16th Release
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  • Surveying Sexual and Gender Minorities : Methodological Challenges and Good Practices within the Total Survey Error Framework - Katharina Meitinger
    Surveying Sexual and Gender Minorities
    Methodological Challenges and Good Practices wi...
    Katharina Meitinger and Angelo Moretti
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    November 19th Release
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  • Data Science in Engineering, 2026 : Proceedings of the 44th IMAC, A Conference and Exposition on Structural Dynamics 2026 - Thomas Matarazzo
    Data Science in Engineering, 2026
    Proceedings of the 44th IMAC, A Conference and ...
    Thomas Matarazzo, François Hemez, Eleonora Maria Tronci and Austin Downey
    eText
    November 10th Release
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  • Modelling with Ordinary Differential Equations : A Comprehensive Approach - Alfio Borzì
    Modelling with Ordinary Differential Equations
    A Comprehensive Approach
    Alfio Borzì
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  • AI-Powered Business Analytics : From Data to Decisions - Muhammad Usman Tariq
    AI-Powered Business Analytics
    From Data to Decisions
    Muhammad Usman Tariq
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  • Inference in Statistical Modelling and Machine Learning : A Concise Introduction - James Burridge
    Inference in Statistical Modelling and Machine Learning
    A Concise Introduction
    James Burridge and Nick Tosh
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  • Intelligent Applications in Bioinformatics and Healthcare Technologies - Saikat Gochhai
    Intelligent Applications in Bioinformatics and Healthcare Technologies
    Saikat Gochhai
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    December 8th Release
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  • Advances in Statistical Modeling and Financial Machine Learning - Amir Ahmad Dar
    Advances in Statistical Modeling and Financial Machine Learning
    Amir Ahmad Dar, Mohammad Shahfaraz Khan, Naushad Alam and Olayan Albalawi
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    November 24th Release
    $291.50
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  • Essentials of Statistics for the Behavioral Sciences - Cengage Learning
    Essentials of Statistics for the Behavioral Sciences
    Cengage Learning
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    January 2027 Release
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  • R for Social Network Analysis : Chapman & Hall/CRC The R Series - Termeh Shafie
    R for Social Network Analysis
    Chapman & Hall/CRC The R Series
    Termeh Shafie and David Schoch
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    December 23rd Release
    $139.69
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  • Martingale Pricing : A Concise Introduction to Financial Derivative Valuation - Derek Zweig
    Martingale Pricing
    A Concise Introduction to Financial Derivative ...
    Derek Zweig
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    December 9th Release
    $117.69
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  • Multivariate Analysis with LISREL - Karl G. Jöreskog
    Multivariate Analysis with LISREL
    Karl G. Jöreskog, Ulf H. Olsson and Fan Y. Wallentin
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  • Supernova Cosmology for the 21st Century : How I Learnt to Stop Worrying About Likelihoods and Train a Neural Network - Konstantin Karchev
    Supernova Cosmology for the 21st Century
    How I Learnt to Stop Worrying About Likelihoods...
    Konstantin Karchev
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  • Numbers Tell Stories : How Data Can Reveal the Surprising Truths about Our World from the Bestselling Author - Vaclav Smil
    Numbers Tell Stories
    How Data Can Reveal the Surprising Truths about...
    Vaclav Smil
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  • How to Win : A Mathematical Approach to Games and Puzzles - Arthur Benjamin
    How to Win
    A Mathematical Approach to Games and Puzzles
    Arthur Benjamin
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  • Methodologies and Applications of Computational Statistics for Machine Intelligence - Debabrata Samanta
    Methodologies and Applications of Computational Statistics for Machine Intelligence
    Debabrata Samanta, Raghavendra Rao Althar, Sabyasachi Pramanik and Soumi Dutta
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  • The Educated Gambler - Norbert Condoros
    The Educated Gambler
    Norbert Condoros
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  • A General Theory of Relatively Slow Motion : Confessions of an Accidental Marathoner - Elias Pan
    A General Theory of Relatively Slow Motion
    Confessions of an Accidental Marathoner
    Elias Pan and A. I. Quill
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  • Discrete Choices : A Comprehensive Guide to Distributions and Inference for Categorical Data - Jiju Gillariose
    Discrete Choices
    A Comprehensive Guide to Distributions and Infe...
    Jiju Gillariose, Joshin Joseph and Christophe Chesneau
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  • Advanced Analytics in Financial Markets : Routledge Advanced Texts in Economics and Finance - Rajeev R. Bhattacharya
    Advanced Analytics in Financial Markets
    Routledge Advanced Texts in Economics and Finance
    Rajeev R. Bhattacharya
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  • Empirical Processes and Statistical Reinforcement Learning : A Festschrift in Honor of Michael R. Kosorok - Shuangge Ma
    Empirical Processes and Statistical Reinforcement Learning
    A Festschrift in Honor of Michael R. Kosorok
    Shuangge Ma, Eric B. Laber and Yingqi Zhao
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  • An R Companion to Linear Statistical Models - Christopher Hay-Jahans
    An R Companion to Linear Statistical Models
    Christopher Hay-Jahans
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  • Risk Literacy - Davis Shyaka Musirikare
    Risk Literacy
    Davis Shyaka Musirikare
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  • Unofficial Cambridge® Mechanics and Probability and Statistics : 1 and 2 International AS and A Level Mathematics 9709 2027 exam - Azhar ul Haque Sario
    Unofficial Cambridge® Mechanics and Probability and Statistics
    1 and 2 International AS and A Level Mathematic...
    Azhar ul Haque Sario
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  • Models for Longitudinal Data with Applications to Early Warning Systems : Workshops of the PRIN Project, Perugia, Italy, 19 September 2024, 11 September 2025 and 23 January 2026 - Francesco Bartolucci
    Models for Longitudinal Data with Applications to Early Warning Systems
    Workshops of the PRIN Project, Perugia, Italy, ...
    Francesco Bartolucci, Paolo Li Donni, Fulvia Pennoni and Claudia Pigini
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  • Copula Models for Dependent Competing Risks : Theory and applications in economics, engineering and medicine - Ralf A. Wilke
    Copula Models for Dependent Competing Risks
    Theory and applications in economics, engineeri...
    Ralf A. Wilke, Takeshi Emura and Simon M.S. Lo
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  • Using and Understanding Medical Statistics - Char Leung
    Using and Understanding Medical Statistics
    Char Leung
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  • Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering - Ernesto Leon-Castro
    Mathematical and Fuzzy Methodologies for Decision Making, Management, and Engineering
    Ernesto Leon-Castro, Fabio Blanco-Mesa, Victor Alfaro-Garcia and Anna Maria Gil-Lafuente
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  • Information Theory and Coding : River Publishers Series in Computing and Information Science and Technology - Marcelo Sampaio de Alencar
    Information Theory and Coding
    River Publishers Series in Computing and Inform...
    Marcelo Sampaio de Alencar
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  • Risk Analysis in Engineering and Economics - Bilal M. Ayyub
    Risk Analysis in Engineering and Economics
    Bilal M. Ayyub
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  • Practical Statistical Consulting : Learning from Everyday Cases Using R - Lei Hua
    Practical Statistical Consulting
    Learning from Everyday Cases Using R
    Lei Hua
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  • Work Automation with R : Chapman & Hall/CRC The R Series - Tiger Tang
    Work Automation with R
    Chapman & Hall/CRC The R Series
    Tiger Tang
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  • High Dimensional Data Analysis : An Interpoint Distance Approach - Reza Modarres
    High Dimensional Data Analysis
    An Interpoint Distance Approach
    Reza Modarres
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  • Regression Analysis Guide : A Comprehensive Guide for Data Analysts and Researchers - Daniel Garfield
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    Daniel Garfield
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  • Introduction to Modern Randomization-Based Design and Analysis for Causal Inference : Chapman & Hall/CRC Texts in Statistical Science - Tirthankar Dasgupta
    Introduction to Modern Randomization-Based Design and Analysis for Causal Inference
    Chapman & Hall/CRC Texts in Statistical Science
    Tirthankar Dasgupta and Donald B. Rubin
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  • Introduction to Forestry Data Analysis with R : Chapman & Hall/CRC The R Series - Andrew O. Finley
    Introduction to Forestry Data Analysis with R
    Chapman & Hall/CRC The R Series
    Andrew O. Finley and Jeffrey W. Doser
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  • The Civilian Spy's Data Analysis Handbook : Practical Methods for Collecting, Cleaning, Testing, Visualizing, Modeling, and Explaining Data Without Fooling Yourself - Camille Panganiban
    The Civilian Spy's Data Analysis Handbook
    Practical Methods for Collecting, Cleaning, Tes...
    Camille Panganiban and AI
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  • Modes of Representation in Developing Statistical Thinking in Education - Sofia D. Anastasiadou
    Modes of Representation in Developing Statistical Thinking in Education
    Sofia D. Anastasiadou and Lamprini Seremeti
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  • Modern International Developments in Data Analysis and Multivariate Statistical Analysis - Sofia D. Anastasiadou
    Modern International Developments in Data Analysis and Multivariate Statistical Analysis
    Sofia D. Anastasiadou, Theodore G. Chadjipadelis, Nikolaos Koutsoupias, Angelos Markos and George Menexes
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  • Sustainable Innovations in Statistics and Data Science - Rajesh R.
    Sustainable Innovations in Statistics and Data Science
    Rajesh R., Walaa H. El-Ashmawi, Yousuf Nasser Said Al Husaini and Jeevanand Edavazhikkal Sarvothama Shenoi
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  • Logistic Regression : Bridging Theory and Practice - Hassan Doosti
    Logistic Regression
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    Hassan Doosti
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  • Experimental Research : Brief Essays on Timeless Concepts - J. Carlos Santamarina
    Experimental Research
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    J. Carlos Santamarina and Andrea Muñoz-Ibáñez
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  • Artificial Intelligence and Social Technologies in Research Conduct - Loreta Tauginienė
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    Loreta Tauginienė
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  • Reading Randomness I : New Horizons for Understanding Fractal and Fractional Calculus - Raoul R. Nigmatullin
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    Raoul R. Nigmatullin and YangQuan Chen
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  • Principles and Practices in Clinical Research : Comprehensive Guide to Methodologies, Ethics, and Regulations - Nidhi
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  • Modern Computing : Principles and Paradigms - Sukhpal Singh Gill
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  • Argument Mining : Synthesis Collection of Technology (R0) - Manfred Stede
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    Manfred Stede, Jodi Schneider and Henning Wachsmuth
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  • Stochastic Processes for Adaptive Healthcare Systems - Anastasius S. Moumtzoglou
    Stochastic Processes for Adaptive Healthcare Systems
    Anastasius S. Moumtzoglou
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  • Computer Vision - ECCV 2026 : 19th European Conference, Malmo, Sweden, September 8-12, 2026, Proceedings, Part LXXVII - Paolo Favaro
    Computer Vision - ECCV 2026
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    Paolo Favaro, Zuzana Kukelova, Atsuto Maki, Anna Rohrbach and Federico Tombari
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  • Computer Vision - ECCV 2026 : 19th European Conference, Malmo, Sweden, September 8-12, 2026, Proceedings, Part V - Paolo Favaro
    Computer Vision - ECCV 2026
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  • Statistics in Kinesiology - Joseph P. Weir
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    Joseph P. Weir, Anthony B. Ciccone, Jacob A. Siedlik and William J. Vincent
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  • Linear Model and Extensions - Peng Ding
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  • Discount Quality for Responsible Data Science : Human-in-the-Loop for Quality Data - Barbara Pernici
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    Barbara Pernici, Tiziana Catarci, Matteo Palmonari and Giovanni Simonini
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  • Reinforcement Learning in Action : From Foundations to Frontier AI - Uday Kamath
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    Uday Kamath and Vedant Vajre
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  • Computer Vision - ECCV 2026 : 19th European Conference, Malmo, Sweden, September 8-12, 2026, Proceedings, Part XXXVIII - Paolo Favaro
    Computer Vision - ECCV 2026
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    Paolo Favaro, Zuzana Kukelova, Atsuto Maki, Anna Rohrbach and Federico Tombari
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  • Computer Vision - ECCV 2026 : 19th European Conference, Malmo, Sweden, September 8-12, 2026, Proceedings, Part LXI - Paolo Favaro
    Computer Vision - ECCV 2026
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    Paolo Favaro, Zuzana Kukelova, Atsuto Maki, Anna Rohrbach and Federico Tombari
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