"MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem"

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Book	Author(s)	Year	Publisher
From Extractive to Abstractive Summarization: A Journey	Parth Mehta; Prasenjit Majumder	1st ed. 2019	Springer Nature Singapore
Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks	Jay Dawani	2020	Packt Publishing
An efficient and practicable method for controlling melon lice	Charles Elmer Durst	1914	University of Illinois Agricultural Experiment Station
An approximation method for solving the sofa problem	Kiyoshi Maruyama	1971	Dept. of Computer Science, University of Illinois at Urbana-Champaign
An efficient model-based image understanding method for an autonomous vehicle	Khaled Ahmed Morsy	1997	Naval Postgraduate School;Available from National Technical Information Service
An efficient iterative procedure for use with the finite element method	Yong-jip Kim	1973	Dept. of Computer Science, University of Illinois at Urbana-Champaign
Deep Learning for Biometrics	Bir Bhanu; Ajay Kumar	1st ed. 2017	Springer International Publishing
Deep Learning for Dummies	Mueller, John Paul; Massaron, Luca	2019	For Dummies
An efficient numerical method for highly oscillatory ordinary differential equations	Linda Ruth Petzold	1978	Dept. of Computer Science, University of Illinois at Urbana-Champaign
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient	Tanay Agrawal	1st ed.	Apress
The Deep Mixing Method	Masaki Kitazume; Masaaki Terashi	2013	Routledge
Gross job time studies, an efficient method for analyzing forestry costs	David P. Worley
An efficient method of broadcasting range grass seeds	Joseph H. Robertson	1944	Intermountain Forest and Range Esperiment Station
Deep Learning for Cancer Diagnosis	Utku Kose; Jafar Alzubi	1st ed. 2021	Springer Nature Singapore
Synthetic Data for Deep Learning	Sergey I. Nikolenko	1st ed. 2021	Springer International Publishing
Deep Learning for Unmanned Systems	Anis Koubaa; Ahmad Taher Azar	1st ed. 2021	Springer International Publishing
Deep Learning for Biomedical Applications	Utku Kose; Omer Deperlioglu; D. Jude Hemanth	2021	Routledge
Deep Learning for Computer Architects	Brandon Reagen; Robert Adolf; Paul Whatmough; Gu-Yeon Wei; David Brooks		Springer International Publishing
Deep Learning for Sustainable Agriculture	Ramesh Poonia; Soumya Nayak andVijander Singh	2022	Academic Press
Deep Learning for Chest Radiographs	H.S Bhadauria; Jitendra Virmani; Papendra Kumar andYashvi Chandola	2021	Academic Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem	Hieu Trong Phung; Anh Tuan Vu; Tung Dinh Nguyen; Lam Thanh Do; Giang Nam Ngo; Trung Thanh Tran et al.	Proceedings of Seventh International Congress on Information and Communication Technology: ICICT 2022, London, Volume 1	Xin-She Yang; Simon Sherratt; Nilanjan Dey; Amit Joshi	1st ed. 2023	Springer Nature Singapore
An Efficient Training Dataset Generation Method for Extractive Text Summarization	Esther Hannah; Saswati Mukherjee	Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012	B. V. Babu; Atulya Nagar; Kusum Deep; Millie Pant; Jagdish Chand Bansal; Kanad Ray; Umesh Gupta	2014	Springer India
Robust Deep Reinforcement Learning for Extractive Legal Summarization	Duy-Hung Nguyen; Bao-Sinh Nguyen; Nguyen Viet Dung Nghiem; Dung Tien Le; Mim Amina Khatun; Minh-Tien Nguyen et al.	Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part VI	Teddy Mantoro; Minho Lee; Media Anugerah Ayu; Kok Wai Wong; Achmad Nizar Hidayanto	1st ed. 2021	Springer International Publishing
A Feature-Augmented Deep Learning Model for Extractive Summarization	Bui Thi Mai Anh; Nguyen Thi Thu Trang	Industrial Networks and Intelligent Systems: 7th EAI International Conference, INISCOM 2021, Hanoi, Vietnam, April 22-23, 2021, Proceedings	Nguyen-Son Vo; Van-Phuc Hoang; Quoc-Tuan Vien	1st ed. 2021	Springer International Publishing
Extractive summarization		Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT	Sudharsan Ravichandiran	2021	Packt Publishing Ltd
Text Summarization: An Extractive Approach	Vishal Soni; Lokesh Kumar; Aman Kumar Singh; Mukesh Kumar	Soft Computing: Theories and Applications: Proceedings of SoCTA 2019	Millie Pant; Tarun Kumar Sharma; Rajeev Arya; B.C. Sahana; Hossein Zolfagharinia	1st ed. 2020	Springer Nature Singapore
Extractive Text Summarization		Natural Language Processing and Machine Learning for Developers	Oswald Campesato	2021	Mercury Learning and Information
Extractive Text Summarization Using Deep Auto-encoders	K. Arjun; M. Hariharan; Pooja Anand; V. Pradeep; Reshma Raj; Anuraj Mohan	Recent Findings in Intelligent Computing Techniques: Proceedings of the 5th ICACNI 2017, Volume 3	Pankaj Kumar Sa; Sambit Bakshi; Ioannis K. Hatzilygeroudis; Manmath Narayan Sahoo	1st ed. 2018	Springer Nature Singapore
An Improved Evolutionary Algorithm for Extractive Text Summarization	Albaraa Abuobieda; Naomie Salim; Yogan Jaya Kumar; Ahmed Hamza Osman	Intelligent Information and Database Systems: 5th Asian Conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18-20, 2013, Proceedings, Part II	Ali Selamat; Ngoc Thanh Nguyen; Habibollah Haron	2013	Springer Berlin Heidelberg
A Novel Sentence Scoring Method for Extractive Text Summarization	Kamal Sarkar; Sohini Roy Chowdhury	Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2020	Debotosh Bhattacharjee; Dipak Kumar Kole; Nilanjan Dey; Subhadip Basu; Dariusz Plewczynski	1st ed. 2021	Springer Nature Singapore
ASCII Embedding: An Efficient Deep Learning Method for Web Attacks Detection	Ines Jemal; Mohamed Amine Haddar; Omar Cheikhrouhou; Adel Mahfoudhi	Pattern Recognition and Artificial Intelligence: 4th Mediterranean Conference, MedPRAI 2020, Hammamet, Tunisia, December 20–22, 2020, Proceedings	Chawki Djeddi; Yousri Kessentini; Imran Siddiqi; Mohamed Jmaiel	1st ed. 2021	Springer International Publishing
Meeting Summarization, A Challenge for Deep Learning	Francois Jacquenet; Marc Bernard; Christine Largeron	Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I	Ignacio Rojas; Gonzalo Joya; Andreu Catala	1st ed. 2019	Springer International Publishing
Extractive summarization using BERTÂ		Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT	Sudharsan Ravichandiran	2021	Packt Publishing Ltd
621 Extractive Text Summarization		A First Course in Artificial Intelligence	Osondu Oguike	2021	Bentham Science Publishers
An Efficient Deep Learning Model for Recommender Systems	Kourosh Modarresi; Jamie Diner	Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11-13, 2018, Proceedings, Part II	Yong Shi; Haohuan Fu; Yingjie Tian; Valeria V. Krzhizhanovskaya; Michael Harold Lees; Jack Dongarra; Peter M. A. Sloot	1st ed. 2018	Springer International Publishing
SciBERTSUM: Extractive Summarization for Scientific Documents	Athar Sefid; C. Lee Giles	Document Analysis Systems: 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22–25, 2022, Proceedings	Seiichi Uchida; Elisa Barney; Véronique Eglin	1st ed. 2022	Springer International Publishing
Distant Supervision for Extractive Question Summarization	Tatsuya Ishigaki; Kazuya Machida; Hayato Kobayashi; Hiroya Takamura; Manabu Okumura	Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II	Joemon M. Jose; Emine Yilmaz; João Magalhães; Pablo Castells; Nicola Ferro; Mário J. Silva; Flávio Martins	1st ed. 2020	Springer International Publishing
Abstractive Summarization with the Aid of Extractive Summarization	Yangbin Chen; Yun Ma; Xudong Mao; Qing Li	Web and Big Data: Second International Joint Conference, APWeb-WAIM 2018, Macau, China, July 23-25, 2018, Proceedings, Part I	Yi Cai; Yoshiharu Ishikawa; Jianliang Xu	1st ed. 2018	Springer International Publishing
Augmenting Neural Sentence Summarization Through Extractive Summarization	Junnan Zhu; Long Zhou; Haoran Li; Jiajun Zhang; Yu Zhou; Chengqing Zong	Natural Language Processing and Chinese Computing: 6th CCF International Conference, NLPCC 2017, Dalian, China, November 8–12, 2017, Proceedings	Xuanjing Huang; Jing Jiang; Dongyan Zhao; Yansong Feng; Yu Hong	1st ed. 2018	Springer International Publishing
Two-Phase Machine Learning Approach for Extractive Single Document Summarization	A. R. Manju Priya; Deepa Gupta	Computational Vision and Bio-Inspired Computing: ICCVBIC 2019	S. Smys; João Manuel R. S. Tavares; Valentina Emilia Balas; Abdullah M. Iliyasu	1st ed. 2020	Springer International Publishing
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