Publicaties
2024
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness (2024)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Wang, S., Strisciuglio, N., Pechenizkiy, M., van Keulen, M., Mocanu, D. C. & Mocanu, E.https://doi.org/10.48550/arXiv.2410.03030Insights into Dynamic Sparse Training: Theory Meets Practice (2024)[Contribution to conference › Poster] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024. Wu, B., van Keulen, M., Mocanu, D. C. & Mocanu, E.Digital Twin-Empowered Autonomous Driving for E-mobility: Concept, framework, and modeling (2024)IEEE Electrification Magazine, 12(3), 68-77. Li, Y., Xu, J., Li, T., Mocanu, E., Jensen, C. S., Gao, D. W. & Zhang, Y.https://doi.org/10.1109/MELE.2024.3423148E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation (2024)In 38th Annual Conference on Neural Information Processing Systems, NeurIPS 2024. MLResearchPress. Wu, B., Xiao, Q., Liu, S., Yin, L., Pechenizkiy, M., Mocanu, D. C., van Keulen, M. & Mocanu, E.https://openreview.net/forum?id=Xp8qhdmeb4
2023
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation (2023)[Working paper › Preprint]. ArXiv.org. Wu, B., Xiao, Q., Liu, S., Yin, L., Pechenizkiy, M., Mocanu, D. C., van Keulen, M. & Mocanu, E.https://doi.org/10.48550/arXiv.2312.04727Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (2023)In AAMAS '23: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 1932-1941) (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; Vol. 2023). ACM Press. Grooten, B., Sokar, G., Dohare, S., Mocanu, E., Taylor, M. E., Pechenizkiy, M. & Mocanu, D. C.https://dl.acm.org./doi/10.5555/3545946.3598862Dynamic Sparse Network for Time Series Classification: Learning What to “See” (2023)[Contribution to conference › Poster] ICLR 2023 Workshop on Sparsity in Neural Networks. Xiao, Q., Wu, B., Zhang, Y., Liu, S., Pechenizkiy, M., Mocanu, E. & Mocanu, D. C.https://drive.google.com/file/d/10pxPf2aWTdMumUba_8-7v_jEZ3-K_uV3/viewDynamic Sparse Network for Time Series Classification: Learning What to “See” (2023)[Contribution to conference › Poster] ICLR 2023 Workshop on Sparsity in Neural Networks. Xiao, Q., Zhang, Y., Liu, S., Pechenizkiy, M., Mocanu, E. & Mocanu, D. C.https://drive.google.com/file/d/10pxPf2aWTdMumUba_8-7v_jEZ3-K_uV3/viewAutomatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (2023)[Working paper › Preprint]. ArXiv.org. Grooten, B., Sokar, G., Dohare, S., Mocanu, E., Taylor, M. E., Pechenizkiy, M. & Mocanu, D. C.https://doi.org/10.48550/arXiv.2302.06548Enhancing Learning in Sparse Neural Networks: A Hebbian Learning Approach (2023)In BNAIC/BENELEARN 2023. de Ranitz, A., Beldad, A. D. & Mocanu, E.
Onderzoeksprofielen
Vakken collegejaar 2024/2025
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 192199978 - Final Project CS
- 192399979 - Final Project BIT
- 201100179 - Graduation Project
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta ST
- 201400462 - Internship S&C
- 201500371 - Capita Selecta BIT
- 201600070 - Machine Learning I
- 201600071 - Machine Learning II
- 201800419 - Capita Selecta Comp. Vision & Biometrics
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900234 - Internship I-Tech
- 202001434 - Internship EMSYS
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202200116 - Capita Selecta Robotics
- 202200119 - Academic Skills Project
- 202200120 - Internship ROB
- 202200122 - MSc-Thesis Project
- 202200251 - Capita Selecta DST
- 202300070 - Final Project EMSYS
- 202300363 - Internship BIT - CS
Vakken collegejaar 2023/2024
- 192199508 - Research Topics CS
- 192199968 - Internship CS
- 192199978 - Final Project CS
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300086 - Research Topics 2 CS
- 201400171 - Capita Selecta Software Technology
- 201500371 - Capita Selecta BIT
- 201600017 - Final Project Preparation
- 201600070 - Machine Learning I
- 201600071 - Machine Learning II
- 201800419 - Capita Selecta Comp. Vision & Biometrics
- 201800524 - Research Topics EIT
- 201900194 - Research Topics I-Tech
- 201900195 - Final Project I-Tech
- 201900200 - Final Project EMSYS
- 201900234 - Internship I-Tech
- 202001434 - Internship EMSYS
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202001613 - MSc Final Project BIT + CS
- 202001614 - MSc Final Project CS + I-Tech
- 202001616 - Research Topics CS + I-TECH
- 202200251 - Capita Selecta DST
- 202300070 - Final Project EMSYS
- 202300363 - Internship BIT - CS
Adres

Universiteit Twente
Zilverling
Postbus 217
7500 AE Enschede