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Joukovsky, B 2024, 'Signal processing meets deep learning: Interpretable and explainable neural networks for video analysis, sequence modeling and compression', Vrije Universiteit Brussel.

Amador Sanchez, S, van Overschelde, P & Vandemeulebroucke, J 2024, 'Segmentation-Guided Coordinate Regression for Robust Landmark Detection on X-Rays: Application to Automated Assessment of Lower Limb Alignment', IEEE Access, vol. 12, pp. 61484-61497. https://doi.org/10.1109/ACCESS.2024.3394895

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Rodrigo Bonet, E & Deligiannis, N 2024, Physics-guided variational graph autoencoder for air quality inference. in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE, pp. 6940-6945. https://doi.org/10.1109/ICASSP48485.2024.10448194

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Kankuppe Raghavendra Swamy, A 2024, 'Low power mm-wave FMCW radar receivers in V and D bands', Vrije Universiteit Brussel, Brussels.

Kizhakkumkara Muhamad, R, Blinder, D & Schelkens, P 2024, Low bitrate compression of bi-level holograms using INTERFERE: an STFT-based hologram codec. in Optica Digital Holography and Three-Dimensional Imaging 2024 (DH)., M1B.2, Optica Publishing Group (formerly OSA): https://opg.optica.org/. https://doi.org/10.1364/DH.2024.M1B.2

Royen, RD 2024, 'Addressing labelling, complexity, latency, and scalability in deep learning-based processing of point clouds', Vrije Universiteit Brussel.

Ceusters, G, Putratama, MA, Franke, R, Nowé, A & Messagie, M 2023, 'An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems', Sustainable Energy, Grids and Networks, vol. 36, no. 2023, 101202. https://doi.org/10.1016/j.segan.2023.101202

Renaux, A, Terwagne, C, Cochez, M, Tiddi, I, Nowé, A & Lenaerts, T 2023, 'A knowledge graph approach to predict and interpret disease-causing gene interactions', BMC Bioinformatics, vol. 24, no. 1, 324. https://doi.org/10.1186/s12859-023-05451-5

Lathouwers, E, Radwan, A, Blommaert, J, Stas, L, Tassignon, B, Allard, SD, De Ridder, F, Hoornaert, N, Lacor, P, Mertens, R, Naeyaert, M, Raeymaekers, H, Seyler, L, Vanbinst, AM, Van Liedekerke, L, Van Schependom, J, Van Schuerbeek, P, Provyn, S, Roelands, B, Vandekerckhove, M, Meeusen, R, Sunaert, S, Nagels, G, De Mey, J & De Pauw, K 2023, 'A cross-sectional case-control study on the structural connectome in recovered hospitalized COVID-19 patients (vol 13, 15668, 2023)', Scientific reports, vol. 13, no. 1, 19012. https://doi.org/10.1038/s41598-023-44726-y

Avalos, R, Reymond, M, Nowe, A & Roijers, DM 2023, 'Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs', Transactions on Machine Learning Research (TMLR). <https://openreview.net/forum?id=adpKzWQunW>

Ajridi, S, Röpke, W, Nowe, A & Radulescu, R 2023, 'Deconstructing Reinforcement Learning Benchmarks: Revealing The Objectives', Paper presented at Multi-Objective Decision Making Workshop 2023, Krakow, Poland, 1/10/23 - 1/10/23. <https://modem2023.vub.ac.be/papers/MODeM2023_paper_11.pdf>

Liu, G, Boom, B, De Winter, J, Nowe, A & Vanderborght, B 2023, 'Behavior Planning for Pruning with Robotic Arms', Paper presented at Workshop on Agricultural Robotics for a Sustainable Future, IROS 2023, Detroit, United States, 1/10/23.

Schelkens, P, Blinder, D, Kizhakkumkara Muhamad, R, Mahmoudpour, S, Schretter, C & Shimobaba, T 2023, Compression challenges for digital holography. in Digital Holography and Three-Dimensional Imaging., HW4C.1, Optica Publishing Group (formerly OSA): https://opg.optica.org/, Digital Holography and Three-Dimensional Imaging 2023, Boston, Massachusetts, United States, 14/08/20. https://doi.org/10.1364/DH.2023.HW4C.1

Azmani, H, Rosseau, A, Nowe, A & Radulescu, R 2023, 'Cooperative Foraging Behaviour Through Multi-Agent Reinforcement Learning with Graph-Based Communication', Paper presented at The 16th European Workshop on Reinforcement Learning, Brussels, Belgium, 14/09/23 - 16/09/23. <https://openreview.net/pdf?id=epzrEgNNSWL>

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Chesterman, X, Verstraeten, T, Daems, P-J, Nowe, A & Helsen, J 2023, Pattern mining based data fusion for wind turbine condition monitoring. in Journal of Physics: Conference Series. 1 edn, vol. 2507, Journal of Physics: Conference Series, IOP Publishing. https://doi.org/10.1088/1742-6596/2507/1/012001

Chesterman, X, Verstraeten, T, Daems, P-J, Nowe, A & Helsen, J 2023, 'Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms', Wind Energy Science, vol. 8, no. 6, pp. 893–924. https://doi.org/10.5194/wes-8-893-2023

Avalos, R, Delgrange, F, Nowé, A, Pérez, GA & Roijers, DM 2023, 'The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models', Proc. of the Adaptive and Learning Agents Workshop (ALA 2023), pp. 1-21.

Liu, G, De Winter, J, Steckelmacher, D, Hota, RK, Nowe, A & Vanderborght, B 2023, 'Synergistic Task and Motion Planning With Reinforcement Learning-Based Non-Prehensile Actions', IEEE Robotics and Automation Letters, vol. 8, no. 5, pp. 2764-2771. https://doi.org/10.1109/LRA.2023.3261708

Rodriguez-Soto, M, Radulescu, R, Rodriguez-Aguilar, JA, Lopez-Sanchez, M & Nowe, A 2023, 'Multi-objective reinforcement learning for guaranteeing alignment with multiple values', Paper presented at 2023 Adaptive and Learning Agents Workshop at AAMAS, London, United Kingdom, 29/05/23 - 30/05/23. <https://alaworkshop2023.github.io/papers/ALA2023_paper_15.pdf>

Röpke, W, Groenland, C, Radulescu, R, Nowe, A & Roijers, DM 2023, Bridging the Gap Between Single and Multi Objective Games. in The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 224-232, The 22nd International Conference on Autonomous Agents and Multiagent Systems, London, United Kingdom, 29/05/23. https://doi.org/10.5555/3545946.3598641

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Gerard, L, Lecocq, M, Courtoy, G, Bouzin, C, Plante-Bordeneuve, T & Pilette, C 2023, 'Quantification of lung fibrosis in COVID-19 related and -unrelated ARDS', Revue des Maladies Respiratoires, vol. 40, no. 2, pp. 145-146. https://doi.org/10.1016/J.RMR.2022.11.069

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Tegenaw, GS 2023, 'Developing clinical decision support instruments for the point-of-care in low resource settings', Vrije Universiteit Brussel.

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Keelson, B, Buzzatti, L, Van Gompel, G, Scheerlinck, T, Hereus, S, de Mey, J, Cattrysse, E, Vandemeulebroucke, J & Buls, N 2022, 'The use of cardiac CT acquisition mode for dynamic musculoskeletal imaging', Physica Medica, vol. 104, pp. 75-84. https://doi.org/10.1016/j.ejmp.2022.10.028

Yu, H, Peralagu, U, Alian, A, Zhao, M, Parvais, B & Collaert, N 2022, 'Parasitic side channel formation due to ion implantation isolation of GaN HEMT', MRS Advances, vol. 7, no. 36, pp. 1274-1278. https://doi.org/10.1557/s43580-022-00453-6

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Perez Sanjines, FR, Verstraeten, T, Nowe, A & Helsen, J 2022, Deep ensemble with Neural Networks to model power-curve uncertainty. in Journal of Physics: Conference Series: EERA DeepWind Offshore Wind R&D Conference 19/01/2022 - 21/01/2022 Trondheim, Norway. 1 edn, vol. 2362, 012029, Journal of Physics: Conference Series, IOP Publishing, EERA DEEPWIND 2022, Trondheim, Norway, 19/01/22. https://doi.org/10.1088/1742-6596/2362/1/012029

Delgrange, F, Nowe, A & Pérez, GA 2022, 'Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes: Encore Abstract', BNAIC/BeNeLearn 2022, Lamot Mechelen, Belgium, 7/11/22 - 9/11/22.

Van Gestel, F, Frantz, T, Neuville, Q, Klein, S, Bruneau, M, Jansen, B, Scheerlinck, T, Vandemeulebroucke, J & Duerinck, J 2022, 'NEURO-ONCOLOGICAL AUGMENTED REALITY: A MORE INTUITIVE APPROACH TO RESECTION PLANNING', Neuro-oncology, vol. 24, pp. 259-260.

Gershenfeld, N, Bolsée, Q & Hart, R 2022, Urumbu: Minimal Machine Building. in SN Spencer (ed.), Symposium on Computational Fabrication., 33, Proceedings - SCF 2022 - 7th Annual ACM Symposium on Computational Fabrication, ACM, pp. 1-2, Symposium on Computational Fabrication 2022, Seattle, Washington, United States, 26/10/22. https://doi.org/10.1145/3559400.3565599

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