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Results: 17
Number of items: 17
  • van Beveren, I., Sergidou, E., & Mohammadi Ziabari, S. (2026). Evaluating Deep Learning-Based Speaker Verification Systems: A Comparative Study Across Open-Source and Forensic Datasets. In A. Panchenko, D. Gubanov, M. Khachay, A. Kuznetsov, N. Loukachevitch, A. Kuznetsov, I. Nikishina, M. Panov, P. M. Pardalos, A. V. Savchenko, E. Tsymbalov, E. Tutubalina, A. Kasieva, & D. I. Ignatov (Eds.), Analysis of Images, Social Networks and Texts: 12th International Conference, AIST 2024, Bishkek, Kyrgyzstan, October 17–19, 2024 : revised selected papers (pp. 153-163). (Communications in Computer and Information Science; Vol. 2364). Springer. https://doi.org/10.1007/978-3-031-97019-1_12
  • Bakker, S., Ma, Y., & Mohammadi Ziabari, S. S. (2026). Addressing Label Scarcity: Hybrid Anomaly Detection in Mental Healthcare Billing. In E. Pardede, Q. Ma, G. Kotsis, T. Amagasa, A. Nadamoto, & I. Kahlil (Eds.), Information Integration and Web Intelligence: 27th International Conference, iiWAS 2025, Matsue, Japan, December 8–10, 2025 : proceedings (pp. 112–126). (Lecture Notes in Computer Science; Vol. 16330). Springer. https://doi.org/10.1007/978-3-032-11976-6_8
  • Open Access
    Lin, B. Y., Mohammadi Ziabari, S. S., Nasser Al Husaini, Y., & Alsahag, A. M. M. (2026). SG-MuRCL: Smoothed Graph-Enhanced Multi-Instance Contrastive Learning for Robust Whole-Slide Image Classification. Information (Switzerland), 17(1), Article 37. https://doi.org/10.3390/info17010037
  • Open Access
    Brakenhoff , B., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2026). Dynamic GNNs for Predicting Train Cancellations on the Dutch Railway Network: A Multi-Season Study of Environmental and Operational Factors. Digital Technologies Research and Applications, 5(1), 32-52. https://doi.org/10.54963/dtra.v5i1.1709
  • Zhu, C., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2025). Task-Adaptive Debiasing with SCM for Sentiment Analysis. Machine Learning for Computational Science and Engineering, 1(2), Article 41. https://doi.org/10.1007/s44379-025-00043-x
  • Open Access
    Chen, J., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2025). An analytics framework for interpretable subseasonal forecasting under decadal climate variability. Decision Analytics Journal, 17, Article 100660. https://doi.org/10.1016/j.dajour.2025.100660
  • Open Access
    Curiël, R., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2025). Integrating Climate and Economic Predictors in Hybrid Prophet–(Q)LSTM Models for Sustainable National Energy Demand Forecasting: Evidence from The Netherlands. Sustainability, 17(19), Article 8687. https://doi.org/10.3390/su17198687
  • Open Access
    Braakman, J., Mohammadi Ziabari, S. S., & Korver, A. (2025). Enhancing Soil Pollution Prediction Through Expert-Defined Risk Zones and Machine Learning: A Case Study in the Netherlands. In P. Delir Haghighi, M. Greguš, G. Kotsis, & I. Khalil (Eds.), Information Integration and Web Intelligence: 26th International Conference, iiWAS 2024, Bratislava, Slovak Republic, December 2–4, 2024 : proceedings (Vol. II, pp. 219-225). (Lecture Notes in Computer Science; Vol. 15343). Springer. https://doi.org/10.1007/978-3-031-78093-6_19
  • Open Access
    Chen, X., Liu, H., & Mohammadi Ziabari, S. (2025). Efficient Sparse MLPs Through Motif-Level Optimization Under Resource Constraints. AI, 6(10), Article 266. https://doi.org/10.3390/ai6100266
  • Open Access
    Van de Sype, L., Vert, M., Sharpanskykh, A., & Mohammadi Ziabari, S. S. (2025). Effects of Unplanned Incoming Flights on Airport Relief Processes After a Major Natural Disaster. Aerospace, 12(10), Article 857. https://doi.org/10.3390/aerospace12100857
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