"Hierarchical Multi-Label Document Classification Using Swarm Intelligence"

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Book	Author(s)	Year	Publisher
Multi-objective Swarm Intelligence: Theoretical Advances and Applications	Satchidananda Dehuri; Alok Kumar Jagadev; Mrutyunjaya Panda	2015	Springer Berlin Heidelberg
Swarm Intelligence	James Kennedy; Russell C. Eberhart and Yuhui Shi	2001	Morgan Kaufmann
Swarm intelligence.	Tan, Ying,		Institution of Engineering & Technology
Swarm Intelligence for Multi-objective Problems in Data Mining	Carlos Coello Coello; Satchidananda Dehuri; Susmita Ghosh	2010	Springer Berlin Heidelberg
Tracking and Mapping of Spatiotemporal Quantities Using Unicellular Swarm Intelligence: Visualisation of Invisible Hazardous Substances Using Unicellular Swarm Intelligence	John Oyekan	1st ed. 2016	Springer International Publishing
Multi-Label Dimensionality Reduction	Liang Sun; Shuiwang Ji; Jieping Ye	2013	Routledge
Multi-Objective Optimization using Artificial Intelligence Techniques	Seyedali Mirjalili; Jin Song Dong	1st ed. 2020	Springer International Publishing
Practical Swarm Intelligence in Python Using. Swarm Intelligence and Evolutionary Algorithms to Solve Problems in Engineering and Science	Ronald T. Kneusel, Ph.D.	2021
Innovations in Swarm Intelligence	Chee Peng Lim; Satchidananda Dehuri	2010	Springer Berlin Heidelberg
Nanocomputers and swarm intelligence	Jean-Baptiste Waldner	2008	John Wiley & Sons
Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch	Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali	1st ed. 2017	Springer International Publishing
Swarm Intelligence: Focus on Ant and Particle Swarm Optimization	Felix T. S. Chan, Manoj Kumar Tiwari (eds.)	2007	I-Tech Education and Publishing
Swarm Intelligence in Data Mining	Ajith Abraham; Crina Grosan; Vitorino Ramos	2006	Springer Berlin Heidelberg
Physicomimetics: Physics-Based Swarm Intelligence	William M. Spears; Diana F. Spears	2012	Springer Berlin Heidelberg
Evolutionary and Swarm Intelligence Algorithms	Jagdish Chand Bansal; Pramod Kumar Singh; Nikhil R. Pal	1st ed. 2019	Springer International Publishing
Applied Optimization and Swarm Intelligence	Eneko Osaba; Xin-She Yang	1st ed. 2021	Springer Nature Singapore
Swarm Intelligence Algorithms: A Tutorial	Adam Slowik	2020	Routledge
Swarm Intelligence for Cloud Computing	Indrajit Pan; Mohamed Abd Elaziz; Siddhartha Bhattacharyya	2020	Routledge
Swarm Intelligence for Iris Recognition	Zaheera Zainal Abidin	2021	Routledge
Swarm Intelligence: Introduction and Applications	Christian Blum; Daniel Merkle	2008	Springer Berlin Heidelberg
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
ReliefF for Hierarchical Multi-label Classification	Ivica Slavkov; Jana Karcheska; Dragi Kocev; Slobodan Kalajdziski; Sašo Džeroski	New Frontiers in Mining Complex Patterns: Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers	Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco; Elio Masciari; Zbigniew W. Ras	2014	Springer International Publishing
Exploiting Label Dependency for Hierarchical Multi-label Classification	Noor Alaydie; Chandan K. Reddy; Farshad Fotouhi	Advances in Knowledge Discovery and Data Mining, Part I: 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June1, 2012, Proceedings, Part I	Pang-Ning Tan; Sanjay Chawla; Chin Kuan Ho; James Bailey	2012	Springer Berlin Heidelberg
Label Correction Strategy on Hierarchical Multi-Label Classification	Thanawut Ananpiriyakul; Piyapan Poomsirivilai; Peerapon Vateekul	Machine Learning and Data Mining in Pattern Recognition: 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014, Proceedings	Petra Perner	2014	Springer International Publishing
Multi-label Classification Based on Label Hierarchical Compression	Jiayu Luo; Junqiao Hu; Yuman Zhang; Shuihuan Ye; Xinyi Xu	Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery	Hongying Meng; Tao Lei; Maozhen Li; Kenli Li; Ning Xiong; Lipo Wang	1st ed. 2021	Springer International Publishing
Multi-label Document Classification in Czech	Michal Hrala; Pavel Král	Text, Speech, and Dialogue: 16th International Conference, TSD 2013, Pilsen, Czech Republic, September 1-5, 2013, Proceedings	Ivan Habernal; Vaclav Matousek	2013	Springer Berlin Heidelberg
Web Genre Classification via Hierarchical Multi-label Classification	Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev	Intelligent Data Engineering and Automated Learning – IDEAL 2015: 16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings	Konrad Jackowski; Robert Burduk; Krzysztof Walkowiak; Michal Wozniak; Hujun Yin	1st ed. 2015	Springer International Publishing
Feature Selection for Hierarchical Multi-label Classification	Luan V. M. da Silva; Ricardo Cerri	Advances in Intelligent Data Analysis XIX: 19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26–28, 2021, Proceedings	Pedro Henriques Abreu; Pedro Pereira Rodrigues; Alberto Fernández; João Gama	1st ed. 2021	Springer International Publishing
Hyperbolic Embeddings for Hierarchical Multi-label Classification	Tomaž Stepišnik; Dragi Kocev	Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings	Denis Helic; Gerhard Leitner; Martin Stettinger; Alexander Felfernig; Zbigniew W. Raś	1st ed. 2020	Springer International Publishing
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
A Hierarchical Multi-label Classification of Multi-resident Activities	Hiba Mehri; Tayeb Lemlouma; Nicolas Montavont	Intelligent Data Engineering and Automated Learning – IDEAL 2021: 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings	Hujun Yin; David Camacho; Peter Tino; Richard Allmendinger; Antonio J. Tallón-Ballesteros; Ke Tang; Sung-Bae Cho; Paulo Novais; Susana Nascimento	1st ed. 2021	Springer International Publishing
Multi-Robot Cooperation Using Swarm Intelligence		Intelligent IoT Projects in 7 Days: Build exciting projects using smart devices	Agus Kurniawan	2017	Packt Publishing Limited
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
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