Items where Division is "Faculty of Computer Science & Information Technology > Department of Artificial Intelligence" and Year is 2021

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Number of items: 18.

A

Abo, Mohamed Elhag Mohamed and Idris, Norisma and Mahmud, Rohana and Qazi, Atika and Hashem, Ibrahim Abaker Targio and Maitama, Jaafar Zubairu and Naseem, Usman and Khan, Shah Khalid and Yang, Shuiqing (2021) A multi-criteria approach for Arabic dialect sentiment analysis for online reviews: Exploiting optimal machine learning algorithm selection. Sustainability, 13 (18). ISSN 2071-1050, DOI https://doi.org/10.3390/su131810018.

Ahsan, Zubair and Obaidellah, Unaizah Hanum (2021) Visual behavior on problem comprehension among novice programmers with prior knowledge. In: 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021, 8 - 10 September 2021, Szczecin.

Alnajjar, Fady and Cappuccio, Massimiliano and Renawi, Abdulrahman and Mubin, Omar and Loo, Chu Kiong (2021) Personalized robot interventions for autistic children: An automated methodology for attention assessment. International Journal of Social Robotics, 13 (1, SI). pp. 67-82. ISSN 1875-4791, DOI https://doi.org/10.1007/s12369-020-00639-8.

H

Hassan, Md Rafiul and Hassan, Mohammad Mehedi and Altaf, Meteb and Yeasar, Mostafa Shamin and Hossain, M. Imtiaz and Fatema, Kanis and Shaharin, Rubya and Ahmed, Adel F. (2021) B5g-enabled distributed artificial intelligence on edges for COVID-19 pandemic outbreak prediction. IEEE Nework, 35 (3). pp. 48-55. ISSN 0890-8044, DOI https://doi.org/10.1109/MNET.011.2000718.

I

Ibrahim, Hemin and Loo, Chu Kiong and Alnajjar, Fady (2021) Speech emotion recognition by late fusion for bidirectional reservoir computing with random projection. IEEE Access, 9. pp. 122855-122871. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3107858.

K

Kakudi, Habeebah Adamu and Loo, Chu Kiong and Moy, Foong Ming and Kau, Lim Chee and Pasupa, Kitsuchart (2021) Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: A systematic literature review. Malaysian Journal of Computer Science, 34 (3). pp. 221-241. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol34no3.1.

L

Liew, Wei Shiung and Loo, Chu Kiong and Wermter, Stefan (2021) Emotion recognition using explainable genetically optimized fuzzy ART ensembles. IEEE Access, 9. pp. 61513-61531. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3072120.

Liu, Zongying and Loo, Chu Kiong and Pasupa, Kitsuchart (2021) A novel error-output recurrent two-layer extreme learning machine for multi-step time series prediction. Sustainable Cities and Society, 66. ISSN 2210-6707, DOI https://doi.org/10.1016/j.scs.2020.102613.

M

Mahaseni, Behzad and Faizal, Erma Rahayu Mohd and Raj, Ram Gopal (2021) Spotting football events using two-stream convolutional neural network and dilated recurrent neural network. IEEE Access, 9. pp. 61929-61942. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3074831.

Maitama, Jaafar Zubairu and Idris, Norisma and Abdi, Asad and Bimba, Andrew Thomas (2021) Aspect extraction in sentiment analysis based on emotional affect using supervised approach. In: 4th International Conference on Artificial Intelligence and Big Data, ICAIBD 2021, 28 - 31 May 2021, Chengdu.

Miswan, Nor Hamizah and Chan, Chee Seng and Ng, Chong Guan (2021) Predictive modelling of hospital readmission: Evaluation of different preprocessing techniques on machine learning classifiers. Intelligent Data Analysis, 25 (5). pp. 1073-1098. ISSN 1088-467X, DOI https://doi.org/10.3233/IDA-205468.

Miswan, Nor Hamizah and Sulaiman, `Ismat Mohd and Chan, Chee Seng and Ng, Chong Guan (2021) Association rules mining for hospital readmission: A case study. Mathematics, 9 (21). ISSN 2227-7390, DOI https://doi.org/10.3390/math9212706.

Mulenga, Mwenge and Abdul Kareem, Sameem and Md Sabri, Aznul Qalid and Seera, Manjeevan and Govind, Suresh Kumar and Samudi, Chandramathi and Bin Mohamad, Saharuddin (2021) Feature extension of gut microbiome data for deep neural network-based colorectal cancer classification. IEEE Access, 9. pp. 23565-23578. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3050838.

N

Ng, Chun Chet and Bin Nazaruddin, Akmalul Khairi and Lee, Yeong Khang and Wang, Xinyu and Liu, Yuliang and Chan, Chee Seng and Jin, Lianwen and Sun, Yipeng and Fan, Lixin (2021) ICDAR 2021 competition on integrated circuit text spotting and aesthetic assessment. In: 16th International Conference on Document Analysis and Recognition, ICDAR 2021, 5 - 10 September 2021, Lausanne.

O

Obaidellah, U. H. and Faizal, Erma Rahayu Mohd and Sabri, Aznul Qalid Md and Kia, Chiam Yin (2021) Comprehension of linked list diagrams: The effects on code writing skills. Malaysian Journal of Computer Science, 34 (2). pp. 199-220. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol34no2.5.

S

Saw, Shier Nee and Biswas, Arijit and Mattar, Citra Nurfarah Zaini and Lee, Hwee Kuan and Yap, Choon Hwai (2021) Machine learning improves early prediction of small-for-gestational-age births and reveals nuchal fold thickness as unexpected predictor. Prenatal Diagnosis, 41 (4). pp. 505-516. ISSN 0197-3851, DOI https://doi.org/10.1002/pd.5903.

Seng, Zian and Kareem, Sameem Abdul and Varathan, Kasturi Dewi (2021) A neighborhood undersampling stacked ensemble (NUS-SE) in imbalanced classification. Expert Systems with Applications, 168. ISSN 0957-4174, DOI https://doi.org/10.1016/j.eswa.2020.114246.

T

Tubishat, Mohammad and Idris, Norisma and Abushariah, Mohammad (2021) Explicit aspects extraction in sentiment analysis using optimal rules combination. Future Generation Computer Systems, 114. pp. 448-480. ISSN 0167-739X, DOI https://doi.org/10.1016/j.future.2020.08.019.

This list was generated on Fri May 3 19:09:53 2024 +08.