Search Results - "2021 International Conference on Machine Learning and Cybernetics (ICMLC)"

Fuzzy Interpolative Reasoning Based on Representative Values and Characteristic Points of Rough-Fuzzy Sets by Chen, Shyi-Ming, Wiharja, Ranggi Putra

“…In this paper, we propose a new fuzzy interpolative reasoning (FIR) method on the basis of representative values (RVs) and characteristic points (CPs) of…”
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Deep Grouped Non-Negative Matrix Factorization Method for Image Data Representation by Zhan, Zihao, Chen, Wen-Sheng, Pan, Binbin, Chen, Bo

“…Non-negative matrix factorization (NMF) is an unsupervised learning method that can be exploited for parts-based image representation due to non-negativity…”
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A Content Based and Collaborative Filtering Recommender System by Thannimalai, Vignesh, Zhang, Li

“…This research proposes a new recommendation system for recommendation generation based on users' ratings and personal profiles. Motivated by existing studies,…”
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A New Multicriteria Decision Making Approach for University Ranking: The Skyline SIR Method by Chai, Junyi, Cheng, Ken, Liu, Wenbin

“…University rankings released annually arise considerable attentions of the public, the media, and university stakeholders. Paradoxically, more attentions…”
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Interval Type 2 Intuitionistic Fuzzy Sets Ranking Method Based on the General Graded Mean Integration Representation with Application to Multiple Criteria Decision Making by Chiao, Kuo-Ping

“…The critical stage in multiple criteria decision making (MCDM) is to determine the priority. Most MCDM tasks are in the uncer-tain environment. Some judgments…”
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A Comparison of Unsupervised Learning Algorithms for Intrusion Detection in IEC 104 SCADA Protocol by Anwar, Mahwish, Borg, Anton, Lundberg, Lars

“…The power grid is a build-up of a mesh of thousands of sensors, embedded devices, and terminal units that communicate over different media. The heterogeneity…”
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Deep Learning-Based Human Posture Recognition by Ayre-Storie, Adam, Zhang, Li

“…Human posture recognition using real-life images is a challenging task. In order to devise effective spatial-temporal representations, we propose a hybrid…”
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Gene Expression Data Classification and Pattern Analysis Using Data Driven Approach by Ramisa, Aiman Jabeen, Hossain, Ananna, Islam, Sk Md Injamul, Swadesh, Ponuel Mollah, Islam, Md. Toushif, Rahman, Md Anisur, Parvez, Mohammad Zavid

“…Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression…”
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Detection of Crop Leaf Diseases Using Gl-Cgan Based Data Augmentation by Hu, Chang, Liu, Ying, Xiang, Jinhai, Chen, Zhongmin

“…Diagnosis and identification of crop diseases are of great significance for improving crop quality. The application of computer vision technology based on deep…”
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CNN Based Hierarchical Intracerebral Hematoma Region Extraction Method in Head Thick-Slice CT Images by Oka, Kazunori, Fujita, Daisuke, Nohara, Yasunobu, Sozo, Inoue, Arimura, Koichi, Iihara, Koji, Kobashi, Syoji

“…Cerebrovascular disease is the fourth leading cause of death in Japan, with approximately 100,000 deaths in 2019. The intracerebral hematoma (ICH) is difficult…”
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Rule Acquisition Based on Multi-Level Cognitive Learning in Multi-Decision Data by Fan, Bing-Jiao, Li, Guo-Cheng, Tsang, Eric-C. C., Li, Wen-Tao

“…In this paper, we defined the decision rule in multi-decision data from the perspective of multi-level cognitive concept learning. Compared with the decision…”
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LSSVM Boiler Main Steam Temperature Anomaly Detection Algorithm Based on Improved SSA by Liu, Lei, Qin, Tianmu, Wang, Li, Wu, Zheng

“…To address the problem of blindness in parameter selection of LSSVM model, this paper proposes to use the improved sparrow algorithm (CDE-SSA) for parameter…”
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An Object-Induced Fuzzy Three-Way Concept Lattice Analysis Based on Two Thresholds by Yang, Lan-Zhen, Tsang, Eric C. C., Wang, Xi-Zhao

“…The model of three-way decision has achieved a big success both in theories and applications. This paper implements the idea of three-way decision to a fuzzy…”
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Accelerator on Multi-Granularity Attribute Reduction for Continuous Parameters by Zhao, Da-Sheng, Song, Jing-Jing, Xu, Tai-Hua, Tsang, Eric C.C.

“…Currently, in the field of Granular Computing, parameterized granularity has been widely explored by many scholars. Notably, the multi-granularity model for…”
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Clustering Network-Connected Devices Using Affiliation Graphs by Millar, Kyle, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…Device management in large networks is of growing importance to network administrators and security analysts alike. The com-position of devices on a network…”
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Fusion of Complex Networks-Based Global and Local Features for Feature Representation by Huang, Zheng-Rui

“…To realize effective feature representation, this paper proposes a new complex networks (CNs)-based feature fusion scheme to recognize texture images…”
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Sparse Variational Autoencoder-Based Interpretable Bimodal Word Embeddings by Tang, Jingyao, Zhong, Weiyu, Cai, Qianhua, Lu, Guojun, Yan, Zehao, Xue, Yun, Li, Xinguang

“…Word embedding is a basic task in the field of natural language processing, which is widely applied to a variety of tasks. In spite of delivering the semantic…”
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Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label Classification by Zhang, Qingshuo, Tsang, Eric C. C., Hu, Meng, He, Qiang, Chen, Degang

“…The multi-label learning algorithm based on an extreme learning machine has the advantage of high efficiency and generalization ability, but its classification…”
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An Improved -Means Algorithm with Spatial Constraints for Image Segmentation by Hu, Meng, Tsang, Eric C.C., Guo, Yanting, Zhang, Qingshuo

“…The {k} -means is sensitive to the initial center and noise in image segmentation. To reduce the sensitivity of k-means to the initial center, we use the…”
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Detecting Botnet Victims Through Graph-Based Machine Learning by Millar, Kyle, Simpson, Lachlan, Cheng, Adriel, Chew, Hong Gunn, Lim, Cheng-Chew

“…Botnets are one of the most devastating cybersecurity threats to modern organisations. A botnet is a distributed network of compromised devices that is…”
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