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  • Visual Analysis of Multilayer Networks - Fintan McGee
    Visual Analysis of Multilayer Networks
    Fintan McGee, Benjamin Renoust, Daniel Archambault, Mohammad Ghoniem and Bruno Pinaud
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  • Statistics is Easy! 2nd Edition - Dennis Shasha
    Statistics is Easy! 2nd Edition
    Dennis Shasha and Manda Wilson
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  • Essentials of Applied Mathematics for Engineers and Scientists, Second Edition - Robert Watts
    Essentials of Applied Mathematics for Engineers and Scientists, Second Edition
    Robert Watts
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  • Algorithms for Reinforcement Learning - Csaba Szepesvári
    Algorithms for Reinforcement Learning
    Csaba Szepesvári
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  • The Navier-Stokes Problem - Alexander G. Ramm
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    Alexander G. Ramm
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  • Strategic Voting - Reshef Meir
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  • Phrase Mining from Massive Text and Its Applications - Jialu Liu
    Phrase Mining from Massive Text and Its Applications
    Jialu Liu, Jingbo Shang and Jiawei Han
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  • A Concise Introduction to Models and Methods for Automated Planning - Hector Geffner
    A Concise Introduction to Models and Methods for Automated Planning
    Hector Geffner and Blai Bonet
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  • Modeling and Data Mining in Blogosphere - Nitin Agarwal
    Modeling and Data Mining in Blogosphere
    Nitin Agarwal and Huan Liu
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  • Individual and Collective Graph Mining : Principles, Algorithms, and Applications - Danai Koutra
    Individual and Collective Graph Mining
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    Danai Koutra and Christos Faloutsos
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  • Graph Mining : Laws, Tools, and Case Studies - Deepayan Chakrabarti
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    Deepayan Chakrabarti and Christos Faloutsos
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  • Privacy in Social Networks - Elena Zheleva
    Privacy in Social Networks
    Elena Zheleva, Evimaria Terzi and Lise Getoor
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  • Correlation Clustering - Francesco Bonchi
    Correlation Clustering
    Francesco Bonchi, David García-Soriano and Francesco Gullo
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  • Data Science : A First Introduction - Tiffany Timbers
    Data Science
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    Tiffany Timbers, Trevor Campbell and Melissa Lee
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  • Mathematics and Statistics for Science - James Sneyd
    Mathematics and Statistics for Science
    James Sneyd, Rachel M. Fewster and Duncan McGillivray
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  • New Horizons in Computational Chemistry Software
    New Horizons in Computational Chemistry Software
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  • Dynamic Time Series Models using R-INLA : An Applied Perspective - Nalini Ravishanker
    Dynamic Time Series Models using R-INLA
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    Nalini Ravishanker, Balaji Raman and Refik Soyer
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  • Introduction to Modern Analysis - Shmuel Kantorovitz
    Introduction to Modern Analysis
    Shmuel Kantorovitz and Ami Viselter
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  • Bayesian Applications in Environmental and Ecological Studies with R and Stan : Chapman & Hall/CRC Applied Environmental Statistics - Song S. Qian
    Bayesian Applications in Environmental and Ecological Studies with R and Stan
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    Song S. Qian, Mark R. DuFour and Ibrahim Alameddine
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  • The Quasispecies Equation and Classical Population Models - Raphaël Cerf
    The Quasispecies Equation and Classical Population Models
    Raphaël Cerf and Joseba Dalmau
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  • Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons - Julian Knaup
    Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons
    Julian Knaup
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  • Introduction to Computational Engineering with MATLAB® : Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series - Timothy Bower
    Introduction to Computational Engineering with MATLAB®
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    Timothy Bower
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  • Principles of Statistical Analysis : Learning from Randomized Experiments - Ery Arias-Castro
    Principles of Statistical Analysis
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    Ery Arias-Castro
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  • Introduction to Machine Learning with Applications in Information Security : Chapman & Hall/CRC Machine Learning & Pattern Recognition - Mark Stamp
    Introduction to Machine Learning with Applications in Information Security
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    Mark Stamp
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  • Introducing Financial Mathematics : Theory, Binomial Models, and Applications - Mladen Victor Wickerhauser
    Introducing Financial Mathematics
    Theory, Binomial Models, and Applications
    Mladen Victor Wickerhauser
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  • Spatial Sampling with R : Chapman & Hall/CRC The R Series - Dick J. Brus
    Spatial Sampling with R
    Chapman & Hall/CRC The R Series
    Dick J. Brus
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  • Econometrics with Machine Learning
    Econometrics with Machine Learning
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  • Stochastic Modelling of Big Data in Finance : Chapman and Hall/CRC Financial Mathematics Series - Anatoliy Swishchuk
    Stochastic Modelling of Big Data in Finance
    Chapman and Hall/CRC Financial Mathematics Series
    Anatoliy Swishchuk
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  • Simplified Business Statistics Using SPSS - Gabriel Otieno Okello
    Simplified Business Statistics Using SPSS
    Gabriel Otieno Okello
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  • Big Data Analytics : Digital Marketing and Decision-Making - Kiran Chaudhary
    Big Data Analytics
    Digital Marketing and Decision-Making
    Kiran Chaudhary and Mansaf Alam
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  • Elementary Methods of Graph Ramsey Theory - Yusheng Li
    Elementary Methods of Graph Ramsey Theory
    Yusheng Li and Qizhong Lin
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  • Elementary Statistics (ISE) : A Step By Step Approach - Allan Bluman
    Elementary Statistics (ISE)
    A Step By Step Approach
    Allan Bluman
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  • Convex Cones : Geometry and Probability - Rolf Schneider
    Convex Cones
    Geometry and Probability
    Rolf Schneider
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  • Applications of Linear and Nonlinear Models : Fixed Effects, Random Effects, and Total Least Squares - Erik W. Grafarend
    Applications of Linear and Nonlinear Models
    Fixed Effects, Random Effects, and Total Least ...
    Erik W. Grafarend, Silvelyn Zwanzig and Joseph L. Awange
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  • ANOVA and Mixed Models : A Short Introduction Using R - Lukas Meier
    ANOVA and Mixed Models
    A Short Introduction Using R
    Lukas Meier
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  • Model-Assisted Bayesian Designs for Dose Finding and Optimization : Methods and Applications - Ying Yuan
    Model-Assisted Bayesian Designs for Dose Finding and Optimization
    Methods and Applications
    Ying Yuan, Ruitao Lin and J. Jack Lee
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  • Mathematics and Statistics for the Quantitative Sciences - Matthew Betti
    Mathematics and Statistics for the Quantitative Sciences
    Matthew Betti
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  • Case Studies in Bayesian Methods for Biopharmaceutical CMC : Chapman & Hall/CRC Biostatistics Series - Paul Faya
    Case Studies in Bayesian Methods for Biopharmaceutical CMC
    Chapman & Hall/CRC Biostatistics Series
    Paul Faya and Tony Pourmohamad
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  • Exploring Modeling with Data and Differential Equations Using R - John Zobitz
    Exploring Modeling with Data and Differential Equations Using R
    John Zobitz
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  • Question Answering over Text and Knowledge Base - Saeedeh Momtazi
    Question Answering over Text and Knowledge Base
    Saeedeh Momtazi and Zahra Abbasiantaeb
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  • Machine Learning : Theory and Practice - Jugal Kalita
    Machine Learning
    Theory and Practice
    Jugal Kalita
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    $100.09
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  • Graph Neural Networks : Foundations, Frontiers, and Applications
    Graph Neural Networks
    Foundations, Frontiers, and Applications
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  • Introduction to Stochastic Finance with Market Examples : Chapman and Hall/CRC Financial Mathematics Series - Nicolas Privault
    Introduction to Stochastic Finance with Market Examples
    Chapman and Hall/CRC Financial Mathematics Series
    Nicolas Privault
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  • Non-Homogeneous Markov Chains and Systems : Theory and Applications - P.-C.G. Vassiliou
    Non-Homogeneous Markov Chains and Systems
    Theory and Applications
    P.-C.G. Vassiliou
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  • Community Ecology : Analytical Methods Using R and Excel - Mark Gardener
    Community Ecology
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    Mark Gardener
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  • Financial Mathematics : A Comprehensive Treatment in Continuous Time Volume II - Giuseppe Campolieti
    Financial Mathematics
    A Comprehensive Treatment in Continuous Time Vo...
    Giuseppe Campolieti and Roman N. Makarov
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  • Computational and Statistical Methods for Chemical Engineering - Wim P. Krijnen
    Computational and Statistical Methods for Chemical Engineering
    Wim P. Krijnen and Ernst C. Wit
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  • Classical Analysis : An Approach through Problems - Hongwei Chen
    Classical Analysis
    An Approach through Problems
    Hongwei Chen
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  • Foundations of Quantitative Finance Book II : Probability Spaces and Random Variables - Robert R. Reitano
    Foundations of Quantitative Finance Book II
    Probability Spaces and Random Variables
    Robert R. Reitano
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  • Statistical Theory : A Concise Introduction - Felix Abramovich
    Statistical Theory
    A Concise Introduction
    Felix Abramovich and Ya'acov Ritov
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  • Financial Mathematics : From Discrete to Continuous Time - Kevin J. Hastings
    Financial Mathematics
    From Discrete to Continuous Time
    Kevin J. Hastings
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    $198.00
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  • Big Data Analytics in Oncology with R - Atanu Bhattacharjee
    Big Data Analytics in Oncology with R
    Atanu Bhattacharjee
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  • The Energy of Data and Distance Correlation : Chapman & Hall/CRC Monographs on Statistics and Applied Probability - Maria L. Rizzo
    The Energy of Data and Distance Correlation
    Chapman & Hall/CRC Monographs on Statistics and...
    Maria L. Rizzo and Gábor J. Székely
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  • Exponential Families in Theory and Practice - Bradley Efron
    Exponential Families in Theory and Practice
    Bradley Efron
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  • How to Think about Data Science : Chapman & Hall/CRC Data Science Series - Diego Miranda-Saavedra
    How to Think about Data Science
    Chapman & Hall/CRC Data Science Series
    Diego Miranda-Saavedra
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  • Multi-Fractal Traffic and Anomaly Detection in Computer Communications - Ming Li
    Multi-Fractal Traffic and Anomaly Detection in Computer Communications
    Ming Li
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  • A First Course in Complex Analysis - Allan R. Willms
    A First Course in Complex Analysis
    Allan R. Willms
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  • Mathematical Gnostics : Advanced Data Analysis for Research and Engineering Practice - Pavel Kovanic
    Mathematical Gnostics
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    Pavel Kovanic
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  • R Data Analysis without Programming : Explanation and Interpretation - David W. Gerbing
    R Data Analysis without Programming
    Explanation and Interpretation
    David W. Gerbing
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  • Positive Unlabeled Learning - Kristen Jaskie
    Positive Unlabeled Learning
    Kristen Jaskie and Andreas Spanias
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  • Streaming Linked Data : From Vision to Practice - Riccardo Tommasini
    Streaming Linked Data
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    Riccardo Tommasini, Pieter Bonte, Fabiano Spiga and Emanuele Della Valle
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  • Applied Categorical and Count Data Analysis : Chapman & Hall/CRC Texts in Statistical Science - Wan Tang
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    Chapman & Hall/CRC Texts in Statistical Science
    Wan Tang, Hua He and Xin M. Tu
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  • Integral Transforms and Engineering : Theory, Methods, and Applications - Abdon Atangana
    Integral Transforms and Engineering
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    Abdon Atangana and Ali Akgül
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  • Distributed Optimization in Networked Systems : Algorithms and Applications - Qingguo Lü
    Distributed Optimization in Networked Systems
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    Qingguo Lü, Xiaofeng Liao, Huaqing Li, Shaojiang Deng and Shanfu Gao
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  • Geographic Data Science with R : Visualizing and Analyzing Environmental Change - Michael C. Wimberly
    Geographic Data Science with R
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    Michael C. Wimberly
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  • Proceedings of International Conference on Information Technology and Applications : ICITA 2021 - Abrar Ullah
    Proceedings of International Conference on Information Technology and Applications
    ICITA 2021
    Abrar Ullah, Sajid Anwar, Álvaro Rocha and Steve Gill
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  • Global Optimization - Aimo Törn
    Global Optimization
    Aimo Törn and Antanas Zilinskas
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  • Real World AI Ethics for Data Scientists : Practical Case Studies - Nachshon (Sean) Goltz
    Real World AI Ethics for Data Scientists
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    Nachshon (Sean) Goltz and Tracey Dowdeswell
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  • Independent Component Analysis and Signal Separation : 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, Proceedings - Tulay Adali
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    Tulay Adali, ?Christian Jutten and ?Joao Marcos Travassos Romano
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  • Computational Intelligence in Data Mining : Proceedings of ICCIDM 2021 - Janmenjoy Nayak
    Computational Intelligence in Data Mining
    Proceedings of ICCIDM 2021
    Janmenjoy Nayak, H.S. Behera, Bighnaraj Naik, S. Vimal and Danilo Pelusi
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  • Business Process Management Workshops : BPM 2022 International Workshops, Munster, Germany, September 11-16, 2022, Revised Selected Papers - Cristina Cabanillas
    Business Process Management Workshops
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    Cristina Cabanillas, Niels Frederik Garmann-Johnsen and Agnes Koschmider
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  • Intelligent and Cloud Computing : Proceedings of ICICC 2021 - Debahuti Mishra
    Intelligent and Cloud Computing
    Proceedings of ICICC 2021
    Debahuti Mishra, Rajkumar Buyya, Prasant Mohapatra and Srikanta Patnaik
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  • Artificial Intelligence and Environmental Sustainability : Challenges and Solutions in the Era of Industry 4.0 - Hui Lin Ong
    Artificial Intelligence and Environmental Sustainability
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    Hui Lin Ong, Ruey-an Doong, Raouf Naguib, Chee Peng Lim and Atulya K. Nagar
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  • Machine Learning in Biological Sciences : Updates and Future Prospects - Shyamasree Ghosh
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    Shyamasree Ghosh and Rathi Dasgupta
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  • Deep Learning and Scientific Computing with R torch : Chapman & Hall/CRC The R Series - Sigrid Keydana
    Deep Learning and Scientific Computing with R torch
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    Sigrid Keydana
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  • Computer Vision - ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II - Leonid Karlinsky
    Computer Vision - ECCV 2022 Workshops
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    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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  • Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings - Moi Hoon Yap
    Diabetic Foot Ulcers Grand Challenge
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    Moi Hoon Yap, Connah Kendrick and Bill Cassidy
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  • Computer Vision - ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII - Leonid Karlinsky
    Computer Vision - ECCV 2022 Workshops
    Tel Aviv, Israel, October 23-27, 2022, Proceedi...
    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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  • Computer Vision - ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV - Leonid Karlinsky
    Computer Vision - ECCV 2022 Workshops
    Tel Aviv, Israel, October 23-27, 2022, Proceedi...
    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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  • Computer Vision - ECCV 2022 Workshops : Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII - Leonid Karlinsky
    Computer Vision - ECCV 2022 Workshops
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    Leonid Karlinsky, Tomer Michaeli and Ko Nishino
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