Volume 17, Issue 2 (June 2020)

EDITORIAL
Mirjana Ivanović and Miloš Radovanović
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Ivanović, M., Radovanović, M.: EDITORIAL. Computer Science and Information Systems, Vol. 17, No. 2, i-iii. (2020), https://doi.org/10.2298/CSIS200200iI

Papers

What makes a board director better connected? Evidence from graph theory
Laleh Samarbakhsh and Boža Tasić
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Samarbakhsh, L., Tasić, B.: What makes a board director better connected? Evidence from graph theory. Computer Science and Information Systems, Vol. 17, No. 2, 357–377. (2020), https://doi.org/10.2298/CSIS190628045S

Missing Data Imputation in Cardiometabolic Risk Assessment: A Solution Based on Artificial Neural Networks
Dunja Vrbaški, Aleksandar Kupusinac, Rade Doroslovački, Edita Stokić and Dragan Ivetić
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Vrbaški, D., Kupusinac, A., Doroslovački, R., Stokić, E., Ivetić, D.: Missing Data Imputation in Cardiometabolic Risk Assessment: A Solution Based on Artificial Neural Networks. Computer Science and Information Systems, Vol. 17, No. 2, 379–401. (2020), https://doi.org/10.2298/CSIS190710003V

Real-Time Tracking and Mining of Users’ Actions over Social Media
Ejub Kajan, Noura Faci, Zakaria Maamar, Mohamed Sellami, Emir Ugljanin, Hamamache Kheddouci, Dragan H. Stojanović and Djamal Benslimane
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Kajan, E., Faci, N., Maamar, Z., Sellami, M., Ugljanin, E., Kheddouci, H., Stojanović, D. H., Benslimane, D.: Real-Time Tracking and Mining of Users’ Actions over Social Media. Computer Science and Information Systems, Vol. 17, No. 2, 403–426. (2020), https://doi.org/10.2298/CSIS190822002K

Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature
Tianle Zhang, Muzhou Hou, Tao Zhou, Zhaode Liu, Weirong Cheng and Yangjin Cheng
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Zhang, T., Hou, M., Zhou, T., Liu, Z., Cheng, W., Cheng, Y.: Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature. Computer Science and Information Systems, Vol. 17, No. 2, 427–443. (2020), https://doi.org/10.2298/CSIS191222010Z

Study of cardiac arrhythmia classification based on convolutional neural network
Yonghui Dai, Bo Xu, Siyu Yan and Jing Xu
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Dai, Y., Xu, B., Yan, S., Xu, J.: Study of cardiac arrhythmia classification based on convolutional neural network. Computer Science and Information Systems, Vol. 17, No. 2, 445–458. (2020), https://doi.org/10.2298/CSIS191229011D

Option predictive clustering trees for multi-target regression
Tomaž Stepišnik, Aljaž Osojnik, Sašo Džeroski and Dragi Kocev
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Stepišnik, T., Osojnik, A., Džeroski, S., Kocev, D.: Option predictive clustering trees for multi-target regression. Computer Science and Information Systems, Vol. 17, No. 2, 459–486. (2020), https://doi.org/10.2298/CSIS190928006S

A Robust Reputation System using Online Reviews
Hyun-Kyo Oh, Jongbin Jung, Sunju Park and Sang-Wook Kim
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Oh, H., Jung, J., Park, S., Kim, S.: A Robust Reputation System using Online Reviews. Computer Science and Information Systems, Vol. 17, No. 2, 487–507. (2020), https://doi.org/10.2298/CSIS191122007O

Fuzzy Logic and Image Compression Based Energy Efficient Application Layer Algorithm for Wireless Multimedia Sensor Networks
Arafat SENTURK, Resul KARA and Ibrahim OZCELIK
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SENTURK, A., KARA, R., OZCELIK, I.: Fuzzy Logic and Image Compression Based Energy Efficient Application Layer Algorithm for Wireless Multimedia Sensor Networks. Computer Science and Information Systems, Vol. 17, No. 2, 509–536. (2020), https://doi.org/10.2298/CSIS191124008S

Variational Neural Decoder for Abstractive Text Summarization
Huan Zhao, Jie Cao, Mingquan Xu and Jian Lu
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Zhao, H., Cao, J., Xu, M., Lu, J.: Variational Neural Decoder for Abstractive Text Summarization. Computer Science and Information Systems, Vol. 17, No. 2, 537–552. (2020), https://doi.org/10.2298/CSIS200131012Z

Adaptive E-Business Continuity Management: Evidence from the Financial Sector
Milica Labus, Marijana Despotović-Zrakić, Zorica Bogdanović, Dušan Barać and Snežana Popović
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Labus, M., Despotović-Zrakić, M., Bogdanović, Z., Barać, D., Popović, S.: Adaptive E-Business Continuity Management: Evidence from the Financial Sector. Computer Science and Information Systems, Vol. 17, No. 2, 553–580. (2020), https://doi.org/10.2298/CSIS190202037L

Human Activities Recognition with a Single Writs IMU via a Variational Autoencoder and Android Deep Recurrent Neural Nets
Edwin Valarezo Añazco, Patricio Rivera Lopez, Hyemin Park, Nahyeon Park and Tae-Seong Kim
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Añazco, E. V., Lopez, P. R., Park, H., Park, N., Kim, T.: Human Activities Recognition with a Single Writs IMU via a Variational Autoencoder and Android Deep Recurrent Neural Nets. Computer Science and Information Systems, Vol. 17, No. 2, 581–597. (2020), https://doi.org/10.2298/CSIS190920005V

Production of linked government datasets using enhanced LIRE architecture
Nataša Veljković, Petar Milić, Leonid Stoimenov and Kristijan Kuk
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Veljković, N., Milić, P., Stoimenov, L., Kuk, K.: Production of linked government datasets using enhanced LIRE architecture. Computer Science and Information Systems, Vol. 17, No. 2, 599–617. (2020), https://doi.org/10.2298/CSIS190420001M

Damaged Buildings Recognition of Post-Earthquake High-Resolution Remote Sensing images based on Feature Space and Decision Tree Optimization
Chao Wang, Xing Qiu, Hui Liu, Dan Li, Kaiguang Zhao and Lili Wang
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Wang, C., Qiu, X., Liu, H., Li, D., Zhao, K., Wang, L.: Damaged Buildings Recognition of Post-Earthquake High-Resolution Remote Sensing images based on Feature Space and Decision Tree Optimization. Computer Science and Information Systems, Vol. 17, No. 2, 619–646. (2020), https://doi.org/10.2298/CSIS190817004W

Multi-Agent Cooperation Q-Learning Algorithm Based on Constrained Markov Game
Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao and Quan Liu
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Ge, Y., Zhu, F., Huang, W., Zhao, P., Liu, Q.: Multi-Agent Cooperation Q-Learning Algorithm Based on Constrained Markov Game. Computer Science and Information Systems, Vol. 17, No. 2, 647–664. (2020), https://doi.org/10.2298/CSIS191220009G

A K-means algorithm based on characteristics of density applied to network intrusion detection
Jing Xu, Dezhi Han, Kuan-Ching Li and Hai Jiang
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Xu, J., Han, D., Li, K., Jiang, H.: A K-means algorithm based on characteristics of density applied to network intrusion detection. Computer Science and Information Systems, Vol. 17, No. 2, 665–687. (2020), https://doi.org/10.2298/CSIS200406014X

Cognitive Computation on Consumer’s Decision Making of Internet Financial Products Based on Neural Activity Data
Hongzhi Hu, Yunbing Tang, Yanqiang Xie, Yonghui Dai and Weihui Dai
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Hu, H., Tang, Y., Xie, Y., Dai, Y., Dai, W.: Cognitive Computation on Consumer’s Decision Making of Internet Financial Products Based on Neural Activity Data. Computer Science and Information Systems, Vol. 17, No. 2, 689–704. (2020), https://doi.org/10.2298/CSIS200229013H