Rami Mochaourab
Senior Researcher
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Användarcentrerad digitalisering (102201)
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Rami Mochaourab är senior forskare med expertis i Trustworthy AI och dataintegritetskydd.
Han är forskningsområdesledare för Tillämpad AI och Maskininlärning på avdelning Industriella System, RISE Digitala System. Dessutom är han medlem i arbetsgruppen Digitalized Industry på Digital Futures Centre (https://www.digitalfutures.kth.se).
Utvalda Publikationer
- R. Mochaourab, A. Venkitaraman, I. Samsten, P. Papapetrou, and C. R. Rojas, “Post-hoc Explainability for Time Series Classification: Towards a Signal Processing Perspective,” IEEE Signal Processing Magazine, Special Issue on Explainability in Data Science: Interpretability, Reproducibility, and Replicability, vol. 39, no. 4, July 2022.
- S. Greenstein, P. Papapetrou, R. Mochaourab, “Embedding Human Values into Artificial Intelligence,” in De Vries, Katja (ed.), De Lege, Uppsala University, 2022. (in press)
- R. Mochaourab, S. Sinha, S. Greenstein, and P. Papapetrou, “Robust Counterfactual Explanations for Privacy-Preserving SVMs,” International Conference on Machine Learning (ICML 2021), Workshop on Socially Responsible Machine Learning, Jul. 2021.
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Publikationer
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Publikationer
- Post Hoc Explainability for Time Series Classification Toward a signal processi…
- Post-hoc Explainability for Time Series Classification: Towards a Signal Proces…
- Demonstrator on Counterfactual Explanations for Differentially Private Support …
- Robust Counterfactual Explanations for Privacy-Preserving SVM
- Learning Time Series Counterfactuals via Latent Space Representations
- Distributed Queue-Aware Beamforming in MISO Interference Channels
- Stable Matching with Externalities for Beamforming and User Assignment in Multi…
- Private Filtering for Hidden Markov Models