UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 13 Climate Action -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions
Fingerprint
Dive into the research topics where Laboratory of Machine Learning and Big Data is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
Research output
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Small or large superpixel graphs? Gaussian influence walk with rebound can assist
Iqbal, M., Amaanullah, F. N. & Pao, H. K., Apr 2026, In: Pattern Recognition. 172, 112777.Research output: Contribution to journal › Article › peer-review
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Active Grade Estimator on Short Answer Assessment
Iqbal, M., Nugraha, T. R. & Pao, H. K., Dec 2025, In: International Journal of Artificial Intelligence in Education. 35, 5, p. 3017-3048 32 p.Research output: Contribution to journal › Article › peer-review
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Advancing HIV Patient Classification Through Contrastive Learning and Angular Distance in Graph Convolutional Networks Applied to Gene Expression Data
Ridho, F., Irawan, M. I., Iqbal, M. & Indriati, D. W., 2025, ICoCSETI 2025 - International Conference on Computer Sciences, Engineering, and Technology Innovation, Proceeding. Wibowo, F. W. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 131-135 5 p. (ICoCSETI 2025 - International Conference on Computer Sciences, Engineering, and Technology Innovation, Proceeding).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press/Media
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Research from Institut Teknologi Sepuluh Nopember Has Provided New Data on Machine Learning (Risk-based asset integrity management in the oil and gas industry from traditional to machine learning approaches: A systematic review)
Purniawan, A., Putri, E. R. M. & Mukhlash, I.
5/12/25
1 item of Media coverage
Press/Media