1. 2026
  2. Deep Learning and XAI for Carbon Dioxide Emissions Prediction: Integrating MLP with SNAP and Multi-Policy Scenario Analysis

    Ma, RM., Li, Q. & Kovshov, A., 2026, In: Revista Internacional de Metodos Numericos para Calculo y Diseno en Ingenieria. 42, 2

    Research output: Contribution to journalArticlepeer-review

  3. 2024
  4. DAGCN: hybrid model for efficiently handling joint node and link prediction in cloud workflows

    Ма, Ж., Gao, J., Li, C., Zhang, Y. & Петросян, О. Л., 1 Dec 2024, In: Applied Intelligence. 54, 23, p. 12505–12530 26 p.

    Research output: Contribution to journalArticlepeer-review

  5. 2023
  6. ShapTime: A General XAI Approach for Explainable Time Series Forecasting

    Zhang, Y., Sun, Q., Qi, D., Liu, J., Ma, R. & Petrosian, O., 2023, (Accepted/In press) In: Lecture Notes in Networks and Systems. 15 p.

    Research output: Contribution to journalArticlepeer-review

  7. 2022
  8. Prediction of Next App in OS

    Ma, R., Zhang, Y., Liu, J., Petrosian, O. & Krinkin, K., 16 Jun 2022, Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022. Shaposhnikov, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 28-31 4 p. (Proceedings of 2022 3rd International Conference on Neural Networks and Neurotechnologies, NeuroNT 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

ID: 61785420