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The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car.

S. Zang, M. Ding, D. Smith, P. Tyler, T. Rakotoarivelo, и M. Kâafar. IEEE Veh. Technol. Mag., 14 (2): 103-111 (2019)

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Thierry Rakotoarivelo

Thierry Somville

Thierry Allain

Thierry Djenizian

Thierry Carrel

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Differentially Private Release of High-Dimensional Datasets using the Gaussian Copula.H. Asghar, M. Ding, T. Rakotoarivelo, S. Mrabet, и M. Kâafar. CoRR, (2019)Attaining Fairness in Communication for Omniscience.N. Ding, P. Sadeghi, D. Smith, и T. Rakotoarivelo. Entropy, 24 (1): 109 (2022)PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels.H. Huang, H. Kang, S. Liu, O. Salvado, T. Rakotoarivelo, D. Wang, и T. Liu. ICCV, стр. 16673-16684. IEEE, (2023)Mobility emulator for DTN and MANET applications.H. Yoon, J. Kim, M. Ott, и T. Rakotoarivelo. WiNTECH@MOBICOM, стр. 51-58. ACM, (2009)Realistic Differentially-Private Transmission Power Flow Data Release.D. Smith, F. Geth, E. Vercoe, A. Feutrill, M. Ding, J. Chan, J. Foster, и T. Rakotoarivelo. CoRR, (2021)Part I: Improving Computational Efficiency of Communication for Omniscience.N. Ding, P. Sadeghi, и T. Rakotoarivelo. CoRR, (2019)Privacy risk in GeoData: A survey.M. Lorestani, T. Ranbaduge, и T. Rakotoarivelo. CoRR, (2024)Learn to Unlearn: A Survey on Machine Unlearning.Y. Qu, X. Yuan, M. Ding, W. Ni, T. Rakotoarivelo, и D. Smith. CoRR, (2023)On Properties and Optimization of Information-theoretic Privacy Watchdog.P. Sadeghi, N. Ding, и T. Rakotoarivelo. ITW, стр. 1-5. IEEE, (2020)Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience.N. Ding, P. Sadeghi, и T. Rakotoarivelo. Allerton, стр. 1073-1080. IEEE, (2018)

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