Advances and Trends in Artificial Intelligence. From Theory to Practice

1. Front Matter

   Pages i-xx

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2. Prediction and Recommendation

   1. Front Matter

      Pages 1-1

      PDF

   2. F2DeepRS: A Deep Recommendation Framework Applied to ICRC Platforms

      • Yongquan Xie, Finn Tseng, Kristinsson Johannes, Shiqi Qiu, Yi Lu Murphey

      Pages 3-14

   3. A Novel Rule-Based Online Judge Recommender System to Promote Computer Programming Education

      • Md. Mostafizer Rahman, Yutaka Watanobe, Uday Kiran Rage, Keita Nakamura

      Pages 15-27

   4. Using Machine Learning to Predict Salaries of Major League Baseball Players

      • Cheng-Yu Lee, Ping-Yu Hsu, Ming-Shien Cheng, Jun-Der Leu, Ni Xu, Bo-Lun Kan

      Pages 28-33

   5. Efficient Prediction of Discharge and Water Levels Using Ensemble Learning and Singular-Spectrum Analysis-Based Denoising

      • Anh Duy Nguyen, Viet Hung Vu, Minh Hieu Nguyen, Duc Viet Hoang, Thanh Hung Nguyen, Kien Nguyen et al.

      Pages 34-46

   6. An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction

      • Hieu Tran, Cuong V. Dinh, Quang Pham, Binh T. Nguyen

      Pages 47-58

   7. Study of Hybridized Support Vector Regression Based Flood Susceptibility Mapping for Bangladesh

      • Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, Fahima Noor, Mohammed Sarfaraz Gani Adnan, Rashedur M. Rahman

      Pages 59-71

   8. A Fusion Approach for Paper Submission Recommendation System

      • Son T. Huynh, Nhi Dang, Phong T. Huynh, Dac H. Nguyen, Binh T. Nguyen

      Pages 72-83

   9. One-Class Classification Approach Using Feature-Slide Prediction Subtask for Feature Data

      • Toshitaka Hayashi, Hamido Fujita

      Pages 84-96

3. Data Management, Clustering and Classification

   1. Front Matter

      Pages 97-97

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   2. A Novel Approach for Enhancing Vietnamese Sentiment Classification

      • Cuong V. Nguyen, Khiem H. Le, Binh T. Nguyen

      Pages 99-111

   3. Consistency Assessment of Datasets in the Context of a Problem Domain

      • Bogumila Hnatkowska, Zbigniew Huzar, Lech Tuzinkiewicz

      Pages 112-125

   4. Effects of Performance Clustering in User Modelling for Learning Style Knowledge Representation

      • Chin-Wei Teoh, Sin-Ban Ho, Khairi Shazwan Dollmat, Ian Chai, Wan-Noorshahida Mohd-Isa, Chuie-Hong Tan et al.

      Pages 126-137

   5. A Novel Perspective of Text Classification by Prolog-Based Deductive Databases

      • Kiet Van Nguyen, Tin Van Huynh, Anh Gia-Tuan Nguyen

      Pages 138-148

   6. Improving Human Emotion Recognition from Emotive Videos Using Geometric Data Augmentation

      • Nusrat J. Shoumy, Li-Minn Ang, D. M. Motiur Rahaman, Tanveer Zia, Kah Phooi Seng, Sabira Khatun

      Pages 149-161

   7. Applying Method of Automatic Classification Tools to Make Effective Organizing of Photos Taken in Childcare Facilities

      • Takaaki Yamaga, Takayuki Inoue, Hiroki Uemura, Wakaho Otoyama, Jun Sasaki

      Pages 162-172

   8. Land Use/Land Cover Change Analysis Due to Tourism in the Chittagong Hill Tracts of Bangladesh

      • Fayezah Anjum, Hasan Mohiuddin Zilany, Syed Shahir Ahmed Rakin, Md. Abdul Hoque, Aina-Nin Ania, Md. Asadut Zaman et al.

      Pages 173-184

4. Robotics

   1. Front Matter

      Pages 185-185

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   2. Estimation Method for Operational Environment Complexity by a Robotic Team

      • Denis A. Beloglazov, Maria A. Vasileva, Victor V. Soloviev, Vladimir A. Pereverzev, Viacheslav H. Pshihopov

      Pages 187-198

This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021.

The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following:

Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks

Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction

• artificial intelligence
• classification
• cluster analysis
• computer vision
• data mining
• databases
• image processing
• information retrieval
• internet
• machine learning
• network protocols
• neural networks
• robotics
• semantics
• signal processing
• telecommunication systems

• i-SOMET Incorporate Association, Morioka, Japan

  Hamido Fujita

• Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

  Ali Selamat

• Western Norway University of Applied Sciences, Bergen, Norway

  Jerry Chun-Wei Lin

• Texas State University San Marcos, San Marcos, USA

  Moonis Ali

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