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International Journal of Machine Learning and Cybernetics OnlineFirst articles

04-01-2021 | Original Article

Adversarial examples: attacks and defenses in the physical world

Deep learning technology has become an important branch of artificial intelligence. However, researchers found that deep neural networks, as the core algorithm of deep learning technology, are vulnerable to adversarial examples. The adversarial …

Authors:
Huali Ren, Teng Huang, Hongyang Yan

04-01-2021 | Original Article Open Access

Caps-OWKG: a capsule network model for open-world knowledge graph

Knowledge graphs are typical multi-relational structures, which is consisted of many entities and relations. Nonetheless, existing knowledge graphs are still sparse and far from being complete. To refine the knowledge graphs, representation …

Authors:
Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao

03-01-2021 | Original Article Open Access

Ensemble machine learning approach for classification of IoT devices in smart home

The emergence of the Internet of Things (IoT) concept as a new direction of technological development raises new problems such as valid and timely identification of such devices, security vulnerabilities that can be exploited for malicious …

Authors:
Ivan Cvitić, Dragan Peraković, Marko Periša, Brij Gupta

03-01-2021 | Original Article

Class-weighted neural network for monotonic imbalanced classification

In real life scenarios, classification problems with the characters of monotonicity constraints and imbalanced class distribution widely exist. However, at present, the research on this kind of problem is still rare. Traditional algorithms …

Authors:
Hong Zhu, Han Liu, Aimin Fu

03-01-2021 | Original Article

Classifying imbalanced data using SMOTE based class-specific kernelized ELM

In machine learning, a problem is imbalanced when the class distributions are highly skewed. Imbalanced classification problems occur usually in many application domains and pose a hindrance to the conventional learning algorithms. Several …

Authors:
Bhagat Singh Raghuwanshi, Sanyam Shukla

03-01-2021 | Original Article

A credibility-based fuzzy programming model for the hierarchical multimodal hub location problem with time uncertainty in cargo delivery systems

This paper studies the fuzzy hierarchical multimodal hub location problem for cargo delivery systems. It differs from traditional hub location problem in two ways. First, this paper constructs a hierarchical multimodal hub-and-spoke distribution …

Authors:
Xiaoting Shang, Bin Jia, Kai Yang, Yaping Yuan, Hao Ji

03-01-2021 | Original Article

Attribution reduction based on sequential three-way search of granularity

Most existing results about attribute reduction are reported by considering one and only one granularity, especially for the strategies of searching reducts. Nevertheless, how to derive reduct from multi-granularity has rarely been taken into …

Authors:
Xun Wang, Pingxin Wang, Xibei Yang, Yiyu Yao

03-01-2021 | Original Article

Attention-based context aggregation network for monocular depth estimation

Depth estimation is a traditional computer vision task, which plays a crucial role in understanding 3D scene geometry. Recently, algorithms that combine the multi-scale features extracted by the dilated convolution based block (atrous spatial …

Authors:
Yuru Chen, Haitao Zhao, Zhengwei Hu, Jingchao Peng

03-01-2021 | Original Article

Algorithms of matrix recovery based on truncated Schatten p-norm

In recent years, algorithms to recovery low-rank matrix have become one of the research hotspots, and more corresponding optimization models with nuclear norm have also been proposed. However, nuclear norm is not a good approximation to the rank …

Authors:
Chenglin Wen, Wenchao Qian, Qinghua Zhang, Feilong Cao

02-01-2021 | Original Article

A social immunity based approach to suppress rumors in online social networks

Online social networks (OSNs) connect people around the globe under one virtual society. It helps people gather, communate and share their common interests. But many times, OSNs are also exploited and eventually become a major platform for rumor …

Authors:
Santhoshkumar Srinivasan, Dhinesh Babu L D

02-01-2021 | Original Article

Towards wide-scale continuous gesture recognition model for in-depth and grayscale input videos

In recent years, gesture recognition in video sequences has aroused growing interest in the fields of computer vision and behavioral understanding, for example in the control of robots and video games, in the field of video surveillance, automatic …

Authors:
Rihem Mahmoud, Selma Belgacem, Mohamed Nazih Omri

02-01-2021 | Original Article

A reinforcement learning optimization for future smart cities using software defined networking

Nowadays smart cities towards software defined network (SDN) approach will become better flexibility and manageability. A stronger, more dynamic network is an SDN network, which is precisely what a smart city network must be if it wants to be …

Authors:
Kulandaivel Rajkumar, Manikandan Ramachandran, Fadi Al-Turjman, Rizwan Patan

02-01-2021 | Original Article

IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification

At present times, the drastic advancements in the 5G cellular and internet of things (IoT) technologies find useful in different applications of the healthcare sector. At the same time, COVID-19 is commonly spread from animals to persons, but …

Authors:
Dac-Nhuong Le, Velmurugan Subbiah Parvathy, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues, K. Shankar

02-01-2021 | Original Article

Entropy based optimal scale combination selection for generalized multi-scale information tables

In many real-life applications, data are often hierarchically structured at different levels of granulations. A multi-scale information table is a special hierarchical data set in which each object can take on as many values as there are scales …

Authors:
Han Bao, Wei-Zhi Wu, Jia-Wen Zheng, Tong-Jun Li

02-01-2021 | Original Article

Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis

There exist many rotating machinery parts, and many types of failure modes, including single failure modes and compound failure modes. This brings high requirements on the performance and generalization ability of fault diagnosis methods. Compared …

Authors:
Ke Zhao, Hongkai Jiang, Xingqiu Li, Ruixin Wang

24-11-2020 | Original Article

SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches

With the exponential growth in Android apps, Android based devices are becoming victims of target attackers in the “silent battle” of cybernetics. To protect Android based devices from malware has become more complex and crucial for academicians …

Authors:
Arvind Mahindru, A. L. Sangal

23-11-2020 | Original Article

Hierarchical extreme learning machine with L21-norm loss and regularization

Recently, multilayer extreme learning machine (ELM) algorithms have been extensively studied for hierarchical abstract representation learning in the ELM community. In this paper, we investigate the specific combination of $$L_{21}$$ L 21 -norm …

Authors:
Rui Li, Xiaodan Wang, Yafei Song, Lei Lei

21-11-2020 | Original Article

An improved density-based adaptive p-spectral clustering algorithm

As a generalization algorithm of spectral clustering, p-spectral clustering has gradually attracted extensive attention of researchers. Gaussian kernel function is generally used in traditional p-spectral clustering to construct the similarity …

Authors:
Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding

19-11-2020 | Original Article Open Access

Knowledge-driven graph similarity for text classification

Automatic text classification using machine learning is significantly affected by the text representation model. The structural information in text is necessary for natural language understanding, which is usually ignored in vector-based …

Authors:
Niloofer Shanavas, Hui Wang, Zhiwei Lin, Glenn Hawe

19-11-2020 | Original Article

A robust spectral clustering algorithm based on grid-partition and decision-graph

Spectral clustering (SC) transforms the dataset into a graph structure, and then finds the optimal subgraph by the way of graph-partition to complete the clustering. However, SC algorithm constructs the similarity matrix and feature decomposition …

Authors:
Lijuan Wang, Shifei Ding, Yanru Wang, Ling Ding