"Multi-Label Classification of Computer Science Research Papers Using Paper Metadata"

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Book	Author(s)	Year	Publisher
Multi-Label Dimensionality Reduction	Liang Sun; Shuiwang Ji; Jieping Ye	2013	Routledge
Fundamentals of Computer Science using Java	David Hughes	2002	Jones and Bartlett Publishers, Inc.
Multi-Objective Optimization in Computer Networks Using Metaheuristics	Yezid Donoso; Ramon Fabregat	2007	Routledge
Computer Science Education Research	Sally Fincher; Marian Petre	2004	Routledge
Research in computer science	University of Illinois at Urbana-Champaign. College of Engineering		College of Engineering, University of Illinois at Urbana-Champaign
Bud's Easy Research Paper Computer Manual	Alvin Baron	December 1995	Lawrence House Publishers
Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons	Julian Knaup	1st ed. 2022	Springer Fachmedien Wiesbaden
Baltic Computer Science: Selected Papers	Janis Barzdins; Dines Bjørner	1991	Springer Berlin Heidelberg
Great papers in computer science /	Laplante, Phillip A.	©1996.	West Pub. Co.,
Quantitative Methodologies using Multi-Methods: Models for Social Science and Information Technology Research	Sergey V. Samoilenko; Kweku-Muata Osei-Bryson	2021	Routledge
Using computer science in hospitality careers	Jennifer Culp	2020	The Rosen Publishing Group, Inc.
Writing term papers: the research paper,the critical paper	Hulon Willis	1977	Harcourt Brace Jovanovich
Computer Science: Research and Applications	Ricardo Baeza-Yates; U. Manber	1992	Springer US
Computer Science and Operations Research	Osman Balci	1992	Pergamon
Computer Science: Notable Research and Discoveries (Frontiers of Science)	Kyle Kirkland	2010	Facts on File
An Introduction To Computer Science Using Java	Kamin	August 1, 1997	McGraw-Hill Education
An introduction to computer science using Java	Samuel N. Kamin; M. Dennis Mickunas; Edward M. Reingold	1998	WCB/McGraw-Hill
Program Design Using JSP (Macmillan Computer Science)	M.J. King; J.P. Pardoe	June 15, 1992	Palgrave Macmillan
Bud's Easy Research Paper Computer Manual for Macintosh	Alvin Baron	December 1996	Lawrence House Publishers
High Resolution Computer Graphics Using Fortran 77 (Computer Science Series)	Ian O. Angell; G.H. Griffith	May 1, 1987	Palgrave Macmillan
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Multi-label classification		Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data	Nathan George	2021	Packt Publishing
Multi-Label Classification		The Hundred-Page Machine Learning Book	Andriy Burkov	2019	Andriy Burkov
Multi-Label Classification		Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD	Jeremy Howard, Sylvain Gugger	2020	O'Reilly Media
Multi-Label Classification		The TensorFlow Workshop: A hands-on guide to building deep learning models from scratch using real-world datasets	Matthew Moocarme	2021	Packt Publishing - ebooks Account
Multi-Label Classification		Network Embedding Theories, Methods and Applications	Cheng Yang, Zhiyuan Liu, Cunchao Tu, Chuan Shi, Maosong Sun	2020	Morgan & Claypool Publishers
Multi-label classification		Python Machine Learning By Example	Yuxi Liu	2020	Packt Publishing, Limited
Multi-label Classification		Machine Learning Engineering	Andriy Burkov	2020
Multi-label Classification Using Random Label Subset Selections	Martin Breskvar; Dragi Kocev; Sašo Džeroski	Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings	Akihiro Yamamoto; Takuya Kida; Takeaki Uno; Tetsuji Kuboyama	1st ed. 2017	Springer International Publishing
Multi-label Classification Using Rough Sets	Ying Yu; Duoqian Miao; Zhifei Zhang; Lei Wang	Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 14th International Conference, RSFDGrC 2013, Halifax, NS, Canada, October 11-14, 2013. Proceedings	Davide Ciucci; Masahiro Inuiguchi; Yiyu Yao; Dominik Slezak; Guoyin Wang	2013	Springer Berlin Heidelberg
Multi-label image classification using CNNs		Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs	MD Rezaul Karim	2018	Packt Publishing
Computer Science Paper Classification for CSAR	Jiahui Quan; Qing Li; Minglu Li	New Horizons in Web Based Learning: ICWL 2014 International Workshops, SPeL, PRASAE, IWMPL, OBIE, and KMEL, FET, Tallinn, Estonia, August 14-17, 2014, Revised Selected Papers	Yiwei Cao; Terje Väljataga; Jeff K.T. Tang; Howard Leung; Mart Laanpere	2014	Springer International Publishing
Multi-class multi-label classification		Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling (English Edition)	Wei Di, Anurag Bhardwaj, Jianing Wei	2018	Packt Publishing
Multi-label, Multi-class Classification Using Polylingual Embeddings	Georgios Balikas; Massih-Reza Amini	Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings	Nicola Ferro; Fabio Crestani; Marie-Francine Moens; Josiane Mothe; Fabrizio Silvestri; Giorgio Maria Di Nunzio; Claudia Hauff; Gianmaria Silvello	1st ed. 2016	Springer International Publishing
Multi-Label Associative Classification	Adriano Veloso; Wagner Meira Jr.	Demand-Driven Associative Classification	Adriano Veloso; Wagner Meira Jr.	2011	Springer London
Image Classification (Multi-label)		Amazon SageMaker Developer Guide	coll	2021	Amazon Web Services
Text Classification (Multi-label)		Amazon SageMaker Developer Guide	coll	2021	Amazon Web Services
Multi-label Text Classification Using Multinomial Models	David Vilar; María José Castro; Emilio Sanchis	Advances in Natural Language Processing: 4th International Conference, EsTAL 2004, Alicante, Spain, October 20-22, 2004. Proceedings	José Luis Vicedo; Particio Martínez-Barco; Rafael Munoz; Maximiliano Saiz Noeda	2004	Springer Berlin Heidelberg
Food Truck Recommendation Using Multi-label Classification	Adriano Rivolli; Larissa C. Parker; Andre C. P. L. F. de Carvalho	Progress in Artificial Intelligence: 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings	Eugénio Oliveira; João Gama; Zita Vale; Henrique Lopes Cardoso	1st ed. 2017	Springer International Publishing
A Multi-view Active Learning Approach for the Hierarchical Multi-label Classification of Research Papers	Abir Masmoudi; Hatem Bellaaj; Mohamed Jmaiel	Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 2	Leonard Barolli; Isaac Woungang; Tomoya Enokido	1st ed. 2021	Springer International Publishing
Label Metadata		Reliable Machine Learning: Applying SRE Principles to ML in Production. Early Release	Cathy Chen, Niall Murphy, Kranti Parisa, D. Sculley, Todd Underwood	2022	O'Reilly Media
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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