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International Journal of Machine Learning and Cybernetics OnlineFirst articles

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

19-11-2020 | Original Article

MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA

In real world, multi-attribute group decision making (MAGDM) is a complicated cognitive process that involves expression, fusion and analysis of multi-source uncertain information. Among diverse soft computing tools for addressing MAGDM, the ones …

Authors:
Chao Zhang, Deyu Li, Jiye Liang, Baoli Wang

16-11-2020 | Original Article

Dynamic fusion for ensemble of deep Q-network

Ensemble reinforcement learning, which combines the decisions of a set of base agents, is proposed to enhance the decision making process and speed up training time. Many studies indicate that an ensemble model may achieve better results than a …

Authors:
Patrick P. K. Chan, Meng Xiao, Xinran Qin, Natasha Kees

11-11-2020 | Original Article

Automated worker skill evaluation for improving productivity based on labeled LDA

This paper proposed automated systems for analyzing elemental processes and for evaluating work skills. The systems use labeled latent Dirichlet allocation (L-LDA) to classify worker motions obtained from sensors into four elemental processes.

Authors:
Kentaro Mori, Hiroshi Nakajima, Yutaka Hata

05-11-2020 | Original Article

Recurrence quantification analysis of EEG signals for tactile roughness discrimination

Roughness recognition is an important function in the nervous system that facilitates our interactions with the environment. Previous studies have focused on the neuro-cognitive aspects and frequency-based changes in response to the roughness …

Authors:
Golnaz Baghdadi, Mahmood Amiri, Egidio Falotico, Cecilia Laschi

02-11-2020 | Original Article

A novel feature learning framework for high-dimensional data classification

Feature extraction is an essential component in many classification tasks. Popular feature extraction approaches especially deep learning-based methods, need large training samples to achieve satisfactory performance. Although dictionary …

Authors:
Yanxia Li, Yi Chai, Hongpeng Yin, Bo Chen

02-11-2020 | Original Article

usfAD: a robust anomaly detector based on unsupervised stochastic forest

In real-world applications, data can be represented using different units/scales. For example, weight in kilograms or pounds and fuel-efficiency in km/l or l/100 km. One unit can be a linear or non-linear scaling of another. The variation in …

Authors:
Sunil Aryal, K.C. Santosh, Richard Dazeley

02-11-2020 | Original Article

Dynamic clustering collaborative filtering recommendation algorithm based on double-layer network

With the rapid development of internet economy, personal recommender system plays an increasingly important role in e-commerce. In order to improve the quality of recommendation, a variety of scholars and engineers devoted themselves in developing …

Authors:
Jianrui Chen, Bo Wang, Zhiping Ouyang, Zhihui Wang

28-10-2020 | Original Article

Knowledge representation and reasoning with industrial application using interval-valued intuitionistic fuzzy Petri nets and extended TOPSIS

Fuzzy Petri nets (FPNs) have many successes in various applications as an important modeling technique for knowledge representation and reasoning. However, in the real world, the following conditions may make it difficult to precisely model …

Authors:
Weichao Yue, Xiao Liu, Sanyi Li, Weihua Gui, Yongfang Xie

28-10-2020 | Original Article

An algorithm based on valuation forecasting for game tree search

This study proposes a novel best-first search algorithm, called Valuation Increment Search Algorithm (VIS), which applies the increment of exploratory value change to predict the valuation and guide the selection of the game tree. The proposed …

Authors:
Guangyun Tan, Peipei Wei, Yongyi He, Huahu Xu, Xinxin Shi, Ping Yi

27-10-2020 | Original Article

Top view multiple people tracking by detection using deep SORT and YOLOv3 with transfer learning: within 5G infrastructure

Nowadays, 5G profoundly impacts video surveillance and monitoring services by processing video streams at high-speed with high-reliability, high bandwidth, and secure network connectivity. It also enhances artificial intelligence, machine …

Authors:
Imran Ahmed, Misbah Ahmad, Awais Ahmad, Gwanggil Jeon

14-10-2020 | Original Article

A knowledge discovery and visualisation method for unearthing emotional states from physiological data

In this paper we propose a knowledge discovery and visualisation method for unearthing emotional states from physiological data typically available from wearable devices. In addition we investigate the viability of using a limited set of wearable …

Authors:
Nectarios Costadopoulos, Md Zahidul Islam, David Tien

14-10-2020 | Original Article

Dynamic pricing in profit-driven task assignment: a domain-of-influence based approach

The development of mobile Internet and sharing economy brings the prosperity of spatial crowdsourcing (SC). Pricing is a crucial step for SC platforms to solve the Profit-driven Task Assignment (PTA) problem to maximize their total profit.

Authors:
Zhifeng Zhou, Rong Chen, Can Wang, Chengwei Zhang

14-10-2020 | Original Article

Matrix-based incremental updating approximations in multigranulation rough set under two-dimensional variation

Multigranulation rough set model (MGRS) uses multiple equivalence relations on the universe to calculate the approximations, which can solve problem in mutigranulation spaces. In practical applications, information systems often dynamically update …

Authors:
Yi Xu, Quan Wang, Weikang Sun

12-10-2020 | Original Article

Spatiotemporal attention enhanced features fusion network for action recognition

In recent years, action recognition has become a popular and challenging task in computer vision. Nowadays, two-stream networks with appearance stream and motion stream can make judgment jointly and get excellent action classification results. But …

Authors:
Danfeng Zhuang, Min Jiang, Jun Kong, Tianshan Liu

11-10-2020 | Original Article

Balanced Graph-based regularized semi-supervised extreme learning machine for EEG classification

Machine learning algorithms play a critical role in electroencephalograpy (EEG)-based brain-computer interface (BCI) systems. However, collecting labeled samples for classifier training and calibration is still difficult and time-consuming …

Authors:
Qingshan She, Jie Zou, Ming Meng, Yingle Fan, Zhizeng Luo