Publicaties
2023
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation. ArXiv.org. Wu, B., Xiao, Q., Liu, S., Yin, L., Pechenizkiy, M., Mocanu, D. C., Keulen, M. V. & Mocanu, E.https://doi.org/10.48550/arXiv.2312.04727Dynamic Sparse Network for Time Series Classification: Learning What to “See”. 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”. 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 LearningIn AAMAS '23: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (pp. 1932-1941). ACM Press. Grooten, B., Sokar, G., Dohare, S., Mocanu, E., Taylor, M. E., Pechenizkiy, M. & Mocanu, D. C.https://dl.acm.org./doi/10.5555/3545946.3598862Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning. 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 ApproachIn BNAIC/BENELEARN 2023. de Ranitz, A., Beldad, A. D. & Mocanu, E.
2022
Dynamic Sparse Network for Time Series Classification: Learning What to "see''. ArXiv.org. Xiao, Q., Wu, B., Zhang, Y., Liu, S., Pechenizkiy, M., Mocanu, E. & Mocanu, D. C.https://doi.org/10.48550/arXiv.2212.09840Dynamic Sparse Network for Time Series Classification: Learning What to “See”. Xiao, Q., Wu, B., Zhang, Y., Liu, S., Pechenizkiy, M., Mocanu, E. & Mocanu, D. C.https://openreview.net/forum?id=ZxOO5jfqSYwTowards Implementing Truly Sparse Connections in Deep RL Agents. Grooten, B. J., Sokar, G., Mocanu, E., Dohare, S., Taylor, M. E., Pechenizkiy, M. & Mocanu, D. C.Dynamic Sparse Training for Deep Reinforcement LearningIn Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022 (pp. 3437-3443). Sokar, G. A. Z. N., Mocanu, E., Mocanu, D. C., Pechenizkiy, M. & Stone, P.https://doi.org/10.24963/ijcai.2022/477
Onderzoeksprofielen
Vakken collegejaar 2023/2024
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
- 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
Vakken collegejaar 2022/2023
- 192166200 - Capita Selecta I-TECH
- 192199508 - Research Topics CS+IST
- 192199968 - Internship CS
- 192199978 - Final Project CS+IST
- 192399979 - Final Project BIT
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201300086 - Research Topics 2 CS+IST
- 201300294 - Masteronderzoek ECB Informatica
- 201400171 - Capita Selecta Software Technology
- 201400174 - Data Science
- 201500363 - Data Science Additional Topics
- 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
- 202001613 - MSc Final Project BIT + CS
- 202001614 - MSc Final Project CS + I-Tech
- 202001616 - Research Topics CS + I-TECH
- 202200251 - Capita Selecta DST
- 202200377 - Internship I-Tech / Robotics
- 202200399 - Internship I-Tech / Robotics
Adres
![](/.uc/iff4689c40103f3eb1100f2c8f403e85637f06a7b284b0801e3bc0268018041/zilverling.jpg)
Universiteit Twente
Zilverling
Postbus 217
7500 AE Enschede