"Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data"

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Book	Author(s)	Year	Publisher
Synthetic Data for Deep Learning	Sergey I. Nikolenko	1st ed. 2021	Springer International Publishing
Deep Learning for Data Analytics	Chittaranjan Pradhan; Himansu Das andNilanjan Dey	2020	Academic Press
Deep Learning for Medical Image Analysis	S. Kevin Zhou; Hayit Greenspan and Dinggang Shen	2017	Academic Press
Deep learning for image processing applications	Estrela, Vania Vieira; Hemanth, D. Jude (eds.)	2017	IOS Press
Test Data Engineering: Latent Rank Analysis, Biclustering, and Bayesian Network	Kojiro Shojima	1st ed. 2022	Springer Nature Singapore
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Advances in Deep Learning for Medical Image Analysis	Archana Mire; Vinayak Elangovan; Shailaja Patil	2022	Routledge
Deep Learning Through Sparse and Low-Rank Modeling	Thomas Huang; Yun Fu andZhangyang Wang	2019	Academic Press
Learning to Rank for Information Retrieval	Tie-Yan Liu	2011	Springer Berlin Heidelberg
Deep Learning: Convergence to Big Data Analytics	Murad Khan; Bilal Jan; Haleem Farman	1st ed. 2019	Springer Nature Singapore
Learning and Decision-Making from Rank Data	Lirong Xia		Springer International Publishing
Deep Learning with Structured Data	Mark Ryan	2020	Manning Publications
Bayesian Approach to Image Interpretation	Sunil K. Kopparapu; Uday B. Desai	2001	Springer US
Deep Learning for Medical Applications with Unique Data	Ashish Khanna; Deepak Gupta; Utku Kose and Valentina Balas	2022	Academic Press
Bayesian Models for Categorical Data	Peter Congdon	2005	John Wiley & Sons
Bayesian Methods for Data Analysis	Bradley P. Carlin; Thomas A. Louis	2008	Routledge
Roadside Video Data Analysis: Deep Learning	Brijesh Verma; Ligang Zhang; David Stockwell	1st ed. 2017	Springer Nature Singapore
Data Orchestration in Deep Learning Accelerators	Tushar Krishna; Hyoukjun Kwon; Angshuman Parashar; Michael Pellauer; Ananda Samajdar		Springer International Publishing
Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics	Pradeep N; Sandeep Kautish and Sheng-Lung Peng	2021	Academic Press
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data	Takeaki Kadota; Hideaki Hayashi; Ryoma Bise; Kiyohito Tanaka; Seiichi Uchida	Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings	Guang Yang; Angelica Aviles-Rivero; Michael Roberts; Carola-Bibiane Schönlieb	1st ed. 2022	Springer International Publishing
Bayesian Deep Active Learning for Medical Image Analysis	Biraja Ghoshal; Stephen Swift; Allan Tucker	Artificial Intelligence in Medicine: 19th International Conference on Artificial Intelligence in Medicine, AIME 2021, Virtual Event, June 15–18, 2021, Proceedings	Allan Tucker; Pedro Henriques Abreu; Jaime Cardoso; Pedro Pereira Rodrigues; David Riaño	1st ed. 2021	Springer International Publishing
Deep Active Learning for Image Regression	Hiranmayi Ranganathan; Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan	Deep Learning Applications	M. Arif Wani; Mehmed Kantardzic; Moamar Sayed-Mouchaweh	1st ed. 2020	Springer Nature Singapore
Deep Learning-Driven Models for Endoscopic Image Analysis	Xiao Jia; Xiaohan Xing; Yixuan Yuan; Max Q.-H Meng	Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science	Tuan D. Pham; Hong Yan; Muhammad W. Ashraf; Folke Sjöberg	1st ed. 2021	Springer International Publishing
Bayesian Deep Learning for Deformable Medical Image Registration	Vijay S. Deshpande; Jignesh S. Bhatt	Pattern Recognition and Machine Intelligence: 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II	Bhabesh Deka; Pradipta Maji; Sushmita Mitra; Dhruba Kumar Bhattacharyya; Prabin Kumar Bora; Sankar Kumar Pal	1st ed. 2019	Springer International Publishing
Bayesian Deep Learning for Accelerated MR Image Reconstruction	Jo Schlemper; Daniel C. Castro; Wenjia Bai; Chen Qin; Ozan Oktay; Jinming Duan et al.	Machine Learning for Medical Image Reconstruction: First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings	Florian Knoll; Andreas Maier; Daniel Rueckert	1st ed. 2018	Springer International Publishing
DEAL: Deep Evidential Active Learning for Image Classification	Patrick Hemmer; Niklas Kühl; Jakob Schöffer	Deep Learning Applications, Volume 3	M. Arif Wani; Bhiksha Raj; Feng Luo; Dejing Dou	1st ed. 2022	Springer Nature Singapore
Deep Reinforcement Active Learning for Medical Image Classification	Jingwen Wang; Yuguang Yan; Yubing Zhang; Guiping Cao; Ming Yang; Michael K. Ng	Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I	Anne L. Martel; Purang Abolmaesumi; Danail Stoyanov; Diana Mateus; Maria A. Zuluaga; S. Kevin Zhou; Daniel Racoceanu; Leo Joskowicz	1st ed. 2020	Springer International Publishing
Data Preprocessing for Learning to Rank	Tie-Yan Liu	Learning to Rank for Information Retrieval	Tie-Yan Liu	2011	Springer Berlin Heidelberg
Rule-Based Active Sampling for Learning to Rank	Rodrigo Silva; Marcos A. Gonçalves; Adriano Veloso	Machine Learning and Knowledge Discovery in Databases, Part III: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part III	Dimitrios Gunopulos; Thomas Hofmann; Donato Malerba; Michalis Vazirgiannis	2011	Springer Berlin Heidelberg
Deep Active Self-paced Learning for Biomedical Image Analysis	Wenzhe Wang; Ruiwei Feng; Xuechen Liu; Yifei Lu; Yanjie Wang; Ruoqian Guo et al.	Deep Learning in Healthcare: Paradigms and Applications	Yen-Wei Chen; Lakhmi C. Jain	1st ed. 2020	Springer International Publishing
328 Bayesian Deep Learning		Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI.	Shlomo Kashani, Amir Ivry (editor)	2020	Interviews AI
338 Bayesian Deep Learning		Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI.	Shlomo Kashani, Amir Ivry (editor)	2020	Interviews AI
916 Bayesian deep learning		Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI.	Shlomo Kashani, Amir Ivry (editor)	2020	Interviews AI
Bayesian Active Learning for Sensitivity Analysis	Tobias Pfingsten	Machine Learning: ECML 2006: 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings	Johannes Fürnkranz; Tobias Scheffer; Myra Spiliopoulou	2006	Springer Berlin Heidelberg
Supervised Deep Learning for Hierarchical Image Data Retrieval	Been-Chian Chien; Yueh-Chia Hsu; Ya-Yu Huang	Multidisciplinary Social Networks Research: 6th International Conference, MISNC 2019, Wenzhou, China, August 26–28, 2019, Revised Selected Papers	Jerry Chun-Wei Lin; I-Hsien Ting; Tiffany Tang; Kai Wang	1st ed. 2019	Springer Nature Singapore
Deep learning for image classification		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
A Sparse Bayesian Learning Algorithm for Longitudinal Image Data	Mert R. Sabuncu	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III	Nassir Navab; Joachim Hornegger; William M. Wells; Alejandro Frangi	1st ed. 2015	Springer International Publishing
Deep Active Learning for Autonomous Navigation	Ahmed Hussein; Mohamed Medhat Gaber; Eyad Elyan	Engineering Applications of Neural Networks: 17th International Conference, EANN 2016, Aberdeen, UK, September 2-5, 2016, Proceedings	Chrisina Jayne; Lazaros Iliadis	1st ed. 2016	Springer International Publishing
Budget Active Learning for Deep Networks	Patrick Kinyua Gikunda; Nicolas Jouandeau	Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2021	Springer International Publishing
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Showing 1 to 20 of 100 entries

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