Adnan, R., Saputra, M. A., Fadlil, J., Ezerman, M. F., Iqbal, M., & Basaruddin, T. (2021). Learning GANs in Simultaneous Game Using Sinkhorn With Positive Features. IEEE Access, 9, 144361-144374.
Maghfira, T. N., Basaruddin, T., & Krisnadhi, A. (2020, April). Infant cry classification using cnn–rnn. In Journal of Physics: Conference Series (Vol. 1528, No. 1, p. 012019). IOP Publishing.
Setiyoko, A., Basaruddin, T., & Arymurthy, A. M. (2020). Minimax Approach for Semivariogram Fitting in Ordinary Kriging. IEEE Access, 8, 82054-82065.
Liliana, D. Y., Basaruddin, T., Widyanto, M. R., & Oriza, I. I. D. (2019). High-level fuzzy linguistic features of facial components in human emotion recognition. Journal of Information and Communication Technology, 19(1), 103-129.
Liliana, D. Y., Basaruddin, T., Widyanto, M. R., & Oriza, I. I. D. (2019). Fuzzy emotion: a natural approach to automatic facial expression recognition from psychological perspective using fuzzy system. Cognitive processing, 20(4), 391-403.
Setiyoko, A., Arymurthy, A. M., & Basaruddin, T. (2019). DEM fusion concept based on the LS-SVM cokriging method. International Journal of Image and Data Fusion, 10(4), 244-262.
Setiyoko, A., Arymurthy, A. M., Basaruddin, T., & Arief, R. (2019, August). Semivariogram fitting based on SVM and GPR for DEM interpolation. In IOP Conference Series: Earth and Environmental Science (Vol. 311, No. 1, p. 012076). IOP Publishing.
Buono, A., Jatmiko, W., Administrator, J., Suhartanto, H., Arymurthy, A. M., Widyanto, M. R., ... & Krisnadhi, A. A. (Eds.). (2019). APPLICATION OF THE FORWARD CHAINING METHOD IN DOWN SYNDROME PATIENTS. Jurnal Ilmu Komputer dan Informasi, 12(2).
Iqbal, M., Adnan, R., Widyanto, M. R., & Basaruddin, T. (2019, January). Evaluation Study of Unsupervised Face-to-Face Translation using Generative Adversarial Networks. In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing (pp. 226-231).
Putra, D. H., & Basaruddin, T. (2019, January). Face Reconstruction with Generative Adversarial Network. In Proceedings of the 3rd International Conference on Machine Learning and Soft Computing (pp. 181-185).
Pitaloka, D. A., Wulandari, A., Basaruddin, T., & Liliana, D. Y. (2017). Enhancing CNN with preprocessing stage in automatic emotion recognition. Procedia computer science, 116, 523-529.
Santoso, H. B., Isal, R. Y. K., Basaruddin, T., Sadita, L., & Schrepp, M. (2014, September). In-progress: User experience evaluation of Student Centered E-Learning Environment for computer science program. In 2014 3rd International Conference on User Science and Engineering (i-USEr) (pp. 52-55). IEEE.
Merindasari, E., Widyanto, M. R., & Basaruddin, T. (2019, January). An overview of learning algorithms and inference techniques on restricted boltzmann machines (rbms). In Proceedings of the 2nd International Conference on Software Engineering and Information Management (pp. 16-20).
Pebiana, S., Widyanto, M. R., Basaruddin, T., & Liliana, D. Y. (2019, January). Enhancing Facial Component Analysis. In Proceedings of the 2nd International Conference on Software Engineering and Information Management (pp. 175-179).
Liliana, D. Y., Basaruddin, T., & Oriza, I. I. D. (2018, November). The Indonesian Mixed Emotion Dataset (IMED) A Facial Expression Dataset for Mixed Emotion Recognition. In Proceedings of the 2018 International Conference on Artificial Intelligence and Virtual Reality (pp. 56-60).
Liliana, D. Y., Widyanto, M. R., & Basaruddin, T. (2018, October). Geometric Facial Components Feature Extraction for Facial Expression Recognition. In 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 391-396). IEEE.
Liliana, D. Y., & Basaruddin, T. (2018, October). Review of automatic emotion recognition through facial expression analysis. In 2018 International Conference on Electrical Engineering and Computer Science (ICECOS) (pp. 231-236). IEEE.
Mamonto, N. E., Maulana, H., Liliana, D. Y., & Basaruddin, T. (2018, February). Multimedia Content Development as a Facial Expression Datasets for Recognition of Human Emotions. In IOP Conference Series: Materials Science and Engineering (Vol. 306, No. 1, p. 012050). IOP Publishing.
Setiawan, F. A., Budiardjo, E. K., Basaruddin, T., & Aminah, S. (2017, December). A Systematic Literature Review on Combining Ontology with Bayesian Network to Support Logical and Probabilistic Reasoning. In Proceedings of the 2017 International Conference on Software and e-Business (pp. 1-12).
Pratiwi, N., Widyanto, M. R., Basaruddin, T., & Liliana, D. Y. (2017, December). Nonlinear Fuzzy Robust PCA on Shape Modelling of Active Appearance Model for Facial Expression Recognition. In Proceedings of the International Conference on Video and Image Processing (pp. 68-72).
Gylberth, R., Adnan, R., Yazid, S., & Basaruddin, T. (2017, October). Differentially private optimization algorithms for deep neural networks. In 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 387-394). IEEE.
Liliana, D. Y., & Basaruddin, C. (2017, August). A review on conditional random fields as a sequential classifier in machine learning. In 2017 International Conference on Electrical Engineering and Computer Science (ICECOS) (pp. 143-148). IEEE.
Komalasari, D., Widyanto, M. R., Basaruddin, T., & Liliana, D. Y. (2017, August). Shape analysis using generalized Procrustes analysis on Active Appearance Model for facial expression recognition. In 2017 International Conference on Electrical Engineering and Computer Science (ICECOS) (pp. 154-159). IEEE.
Liliana, D. Y., Basaruddin, C., & Widyanto, M. R. (2017, August). Mix emotion recognition from facial expression using SVM-CRF sequence classifier. In Proceedings of the International Conference on Algorithms, Computing and Systems (pp. 27-31).
Veritawati, I., Wasito, I., & Basaruddin, T. (2017). Text interpretation using a modified process of the ontology and sparse clustering. Journal of Theoretical and Applied Information Technology, 95(5), 1019-1028.
Budiman, A., Fanany, M. I., & Basaruddin, C. (2017). Adaptive Parallel ELM with Convolutional Features for Big Stream Data (Doctoral dissertation, Thesis Dissertation, Faculty of Computer Science, University of Indonesia).
Pitaloka, D. A., Wulandari, A., Basaruddin, T., & Liliana, D. Y. (2017). Enhancing CNN with preprocessing stage in automatic emotion recognition. Procedia computer science, 116, 523-529.
Sadikin, M., Fanany, M. I., & Basaruddin, T. (2016). A new data representation based on training data characteristics to extract drug name entity in medical text. Computational intelligence and neuroscience, 2016.
Liliana, D. Y., Widyanto, M. R., & Basaruddin, T. (2016, October). Human emotion recognition based on active appearance model and semi-supervised fuzzy C-means. In 2016 international conference on advanced computer science and information systems (ICACSIS) (pp. 439-445). IEEE.
Budiman, A., Fanany, M. I., & Basaruddin, C. (2016). Adaptive convolutional ELM for concept drift handling in online stream data. arXiv preprint arXiv:1610.02348.
Budiman, A., Fanany, M. I., & Basaruddin, C. (2016). Distributed averaging CNN-ELM for big data. arXiv preprint arXiv:1610.02373.
Mujiono, S., Fanany, M. I., & Basaruddin, C. (2016). A New Data Representation Based on Training Data Characteristics to Extract Drug Named-Entity in Medical Text. arXiv preprint arXiv:1610.01891.
Budiman, A., Fanany, M. I., & Basaruddin, C. (2016). Adaptive online sequential ELM for concept drift tackling. Computational intelligence and neuroscience, 2016.
Budiman, A., Fanany, M. I., & Basaruddin, C. (2015, October). Online marginalized linear stacked denoising autoencoders for learning from big data stream. In 2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 227-235). IEEE.
Veritawati, I., Wasito, I., & Basaruddin, T. (2015). Text Preprocessing using Annotated Suffix Tree with Matching Keyphrase. International Journal of Electrical & Computer Engineering (2088-8708), 5(3).
Mulyono, S., Amri, M., Fanany, M. I., & Basaruddin, T. (2015, March). Kernel-Based Regularized Learning for Time-Invariant Detection of Paddy Growth Stages from MODIS Data. In Asian Conference on Intelligent Information and Database Systems (pp. 513-525). Springer, Cham.
Siradjuddin, I. A., Widyanto, M. R., & Basaruddin, T. (2012). Particle filter with Gaussian weighting for human tracking. TELKOMNIKA Indonesian Journal of Electrical Engineering, 10(6), 1453-1457.