Onderzoeksoutput

Onderzoeksoutput per jaar 1994 2005 2009 2010 2011 2012 2013 2014 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

• 5520 Citaties
• 35 h-index
• 289 Conference paper
• 104 Article
• 31 Meeting abstract (Book)
• 28 Poster
• 96 Meer
  • 26 Unpublished paper
  • 25 Chapter
  • 8 Other report
  • 6 Meeting abstract (Journal)
  • 6 Editorial
  • 5 Unpublished abstract
  • 4 Other contribution
  • 4 Voordruk
  • 3 Book
  • 2 Other
  • 2 Scientific review
  • 1 Foreword/postscript
  • 1 Other scientific journal contribution
  • 1 Special issue
  • 1 Digital or Visual Products
  • 1 PhD Thesis

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2025

  Laser Learning Environment: A New Environment for Coordination-Critical Multi-agent Tasks

  Molinghen, Y., Avalos, R., Van Achter, M., Nowé, A. & Lenaerts, T., 2025, Artificial Intelligence and Machine Learning - 35th Benelux Conference, BNAIC/Benelearn 2023, Revised Selected Papers. Oliehoek, F. A., Kok, M. & Verwer, S. (redactie). Springer Science and Business Media Deutschland GmbH, blz. 135-154 20 blz. (Communications in Computer and Information Science; vol. 2187 CCIS).

  Onderzoeksoutput: Conference paper › Research
• 2024

  A Group And Individual Aware Framework For Fair Reinforcement Learning

  Cimpean, I. A., Jonker, C. M., Libin, P. & Nowe, A., 2024, In: Proc. of the Adaptive and Learning Agents Workshop. https://ala2024.github.io, blz. 1-10 10 blz.

  Onderzoeksoutput: Conference paper

  Open Access

• A Reinforcement Learning Framework For Studying Group And Individual Fairness: Extended Abstract

  Cimpean, I. A., Jonker, C. M., Libin, P. & Nowe, A., 2024, The 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024: Extended Abstract. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), blz. 2216-2218 3 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Onderzoeksoutput: Conference paper › Research

  Open Access

  • Reinforcement learning 100%
  • History 58%
  • Markov processes 52%
  • Decision support systems 51%

• A shared robot control system combining augmented reality and motor imagery brain-computer interfaces with eye tracking

  Dillen, A., Omidi, M., Ghaffari, F., Vanderborght, B., Roelands, B., Romain, O., Nowé, A. & De Pauw, K., 25 sep 2024, In: Journal of Neural Engineering. 21, 5, 13 blz., 056028.

  Onderzoeksoutput: Article › peer review

  Open Access
  1 Citaat (Scopus)

• Controller Synthesis from Deep Reinforcement Learning Policies

  Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A. & Pérez, G. A., 20 okt 2024, blz. 1-25. 25 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

• Controller Synthesis from Deep Reinforcement Learning Policies

  Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A. & Pérez, G. A., 28 okt 2024.

  Onderzoeksoutput: Unpublished paper

  Open Access

• Controller Synthesis from Deep Reinforcement Learning Policies: Extended Abstract

  Delgrange, F., Avni, G., Lukina, A., Schilling, C., Nowe, A. & Pérez, G. A., 18 nov 2024.

  Onderzoeksoutput: Unpublished abstract

  Open Access

  Bestand
  9 Downloads (Pure)

• Depth Scaling in Graph Neural Networks: Understanding the Flat Curve Behavior

  Sousa Gomes, D., Efthymiadis, K., Nowe, A. & Vrancx, P., 2024, In: Transactions on Machine Learning Research (TMLR). 22 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Neural networks 100%
  • Deep learning 42%
  • Network architecture 22%
  3 Downloads (Pure)

• Exploring the limits of deep learning in high-dimensional limited-sized data regimes using single- and multi-objective optimization strategies

  Jaxy, S., Nowe, A. & Libin, P., 18 okt 2024.

  Onderzoeksoutput: Poster

  Bestand
  24 Downloads (Pure)

• Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

  Reymond, M., Hayes, C. F., Willem, L., Radulescu, R., Abrams, S., Roijers, D. M., Howley, E., Mannion, P., Hens, N., Nowe, A. & Libin, P., 1 sep 2024, In: Expert Systems with Applications. 249, Part C, 2024, 123686, 13 blz., 123686.

  Onderzoeksoutput: Article › peer review

  Open Access

  • Reinforcement learning 100%
  • Decision making 48%
  • Pathogens 45%
  • Public health 39%
  • Stochastic models 36%
  1 Citaat (Scopus)

• Human-readable programs as the actor of a Reinforcement Learning agent using Critic-Moderated Evolution

  Deproost, S., Steckelmacher, D. & Nowe, A., 17 nov 2024, Proceedings of the 2024 Benelux Conference on Artificial Intelligence. Benelux Association for Artificial Intelligence (BNVKI-AIABN), blz. 1-18 14 blz. (BNAIC Proceedings).

  Onderzoeksoutput: Conference paper › Research

  Open Access

• Interactively Learning the User’s Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits

  Reymond, M., Bargiacchi, E., Roijers, D. M. & Nowe, A., 6 mei 2024, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). Alechina, N., Dignum, V., Dastani, M. & Sichman, J. S. (redactie). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), blz. 1611-1620 10 blz.

  Onderzoeksoutput: Conference paper › Research

  Open Access

• Model-Based Reinforcement Learning in Multi-Objective Environments with a Distributional Critic

  Röpke, W., Roijers, D. M., Nowé, A., Radulescu, R. & Baier, H., okt 2024.

  Onderzoeksoutput: Unpublished paper

  Open Access

• Optimistic Reinforcement Learning-Based Skill Insertions for Task and Motion Planning

  Liu, G., De Winter, J., Durodié, Y., Steckelmacher, D., Nowe, A. & Vanderborght, B., 9 mei 2024, In: IEEE Robotics and Automation Letters. 9, 6, blz. 5974-5981 8 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Motion Planning 90%
  • Skills 77%
  • Insertion 74%
  • Reinforcement learning 66%
  • Motion planning 63%
  8 Downloads (Pure)

• Power prediction using high-resolution SCADA data with a farm-wide deep neural network approach

  Daenens, S., Vervlimmeren, I., Verstraeten, T., Daems, P-J., Nowe, A. & Helsen, J., 30 mei 2024, In: Journal of Physics: Conference Series. 2767, 9, 10 blz., 092014.

  Onderzoeksoutput: Conference paper

  Open Access

• Prioritization of oligogenic variant combinations in whole exomes

  Gravel, B., Renaux, A., Papadimitriou, S., Smits, G., Nowé, A. & Lenaerts, T., 1 apr 2024, In: Bioinformatics . 40, 4, 9 blz., btae184.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Prioritization 100%
  • Exome 73%
  • Genes 58%
  • Virulence 53%
  • Whole Exome Sequencing 48%
  2 Downloads (Pure)

• Programmatic Reinforcement Learning using Critic-Moderated Evolution

  Deproost, S., Steckelmacher, D. & Nowe, A., 18 nov 2024, (Unpublished).

  Onderzoeksoutput: Poster

  Bestand
  8 Downloads (Pure)

• Realizing executable programs from an abstract of the policy

  Deproost, S. & Nowe, A., 10 jun 2024, (Unpublished).

  Onderzoeksoutput: Poster

  Bestand
  7 Downloads (Pure)

• The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models

  Avalos, R., Delgrange, F., Nowé, A., Pérez, G. A. & Roijers, D. M., 7 mei 2024, The Twelfth International Conference on Learning Representations: ICLR 2024. OpenReview.net, 9 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand

  • Markov processes 100%
  • Statistics 70%
  • Recurrent neural networks 49%
  • Probability distributions 44%
  15 Downloads (Pure)

• The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models: Extended Abstract

  Avalos, R., Delgrange, F., Nowe, A., Pérez, G. A. & Roijers, D. M., 18 nov 2024.

  Onderzoeksoutput: Unpublished abstract

  Open Access

• Trustworthy and Explainable Offline Reinforcement Learning by Inferring a Discrete-State Discrete-Action MDP from a Continous-State Continuous-Action dataset

  Steckelmacher, D. & Nowe, A., 18 nov 2024, Proceedings of the 2024 Benelux Conference on Artificial Intelligence. Benelux Association for Artificial Intelligence (BNVKI-AIABN), blz. 1-16 14 blz. (BNAIC Proceedings).

  Onderzoeksoutput: Conference paper › Research

  Open Access

  Bestand
  6 Downloads (Pure)

• Understanding Feature/Structure Interplay in Graph Neural Networks

  Sousa Gomes, D., Nowe, A. & Vrancx, P., 2024, Proceedings of the Third Learning on Graphs Conference (LoG 2024). (Proceedings of the Third Learning on Graphs Conference (LoG 2024)).

  Onderzoeksoutput: Conference paper

  Open Access

• User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface

  Dillen, A., Omidi, M., Ghaffari, F., Romain, O., Vanderborght, B., Roelands, B., Nowé, A. & Pauw, K. D., 14 aug 2024, In: Sensors. 24, 16, 17 blz., 5253.

  Onderzoeksoutput: Article › peer review

  Open Access
  1 Citaat (Scopus)
• 2023

  A Brief Guide to Multi-Objective Reinforcement Learning and Planning: JAAMAS Track

  Hayes, C. F., Radulescu, R., Bargiacchi, E., Källström, J., Macfarlane, M., Reymond, M., Verstraeten, T., Zintgraf, L., Dazeley, R., Heintz, F., Howley, E., Irissappane, A. A., Mannion, P., Nowe, A., De Oliveira Ramos, G., Restelli, M., Vamplew, P. & Roijers, D. M., mei 2023, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Vol. 2023-May. blz. 1988-1990 3 blz. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS).

  Onderzoeksoutput: Conference paper › Research

  Open Access

  • Reinforcement learning 100%
  • Decision making 72%
  • Planning 63%
  1 Citaat (Scopus)

• Actor-critic multi-objective reinforcement learning for non-linear utility functions

  Reymond, M., Hayes, C. F., Steckelmacher, D., Roijers, D. M. & Nowe, A., 23 apr 2023, In: Autonomous Agents and Multi-Agent Systems. 37, 2, 30 blz., 23.

  Onderzoeksoutput: Special issue › peer review

  Open Access

  Bestand

  • Reinforcement learning 100%
  • Learning algorithms 20%
  8 Citaten (Scopus)

  171 Downloads (Pure)

• A general purpose framework for fairness in job hiring

  Vanspringel, S., Cimpean, I. A., Libin, P. & Nowe, A., 2023, In: Proceedings of the Benelux Conference on Artificial Intelligence. https://bnaic2023.tudelft.nl/pre-proceedings, blz. 1-3 3 blz.

  Onderzoeksoutput: Conference paper

  Open Access

• A knowledge graph approach to predict and interpret disease-causing gene interactions

  Renaux, A., Terwagne, C., Cochez, M., Tiddi, I., Nowé, A. & Lenaerts, T., dec 2023, In: BMC Bioinformatics. 24, 1, 25 blz., 324.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Gene 100%
  • Genes 97%
  • Predict 94%
  • Knowledge 77%
  • Interaction 73%
  7 Citaten (Scopus)

  52 Downloads (Pure)

• A Multi-objective Framework For Fair Reinforcement Learning

  Cimpean, I. A., Jonker, C. M., Libin, P. & Nowe, A., 2023, blz. 1-11. 11 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

• An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems

  Ceusters, G., Putratama, M. A., Franke, R., Nowé, A. & Messagie, M., dec 2023, In: Sustainable Energy, Grids and Networks. 36, 2023, 14 blz., 101202.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Energy management systems 100%
  • Reinforcement learning 86%
  • Energy balance 18%
  • Learning algorithms 14%
  • Dynamical systems 14%
  4 Citaten (Scopus)

  2 Downloads (Pure)

• A Study of Nash Equilibria in Multi-Objective Normal-Form Games: JAAMAS Track

  Röpke, W., Roijers, D. M., Nowe, A. & Radulescu, R., mei 2023, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), blz. 269-271 3 blz.

  Onderzoeksoutput: Conference paper › Research

  Open Access

  Bestand

  • Nash Equilibrium 100%
  • Normal Form Games 87%
  • Utility Function 55%
  • Pure Strategy Nash Equilibrium 34%
  • Mixed Strategy 15%
  161 Downloads (Pure)

• A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning

  Felten, F., Nunes Alegre, L., Nowe, A., Bazzan, A., Talbi, E-G., Danoy, G. & Castro da Silva, B., 2023, Advances in Neural Information Processing Systems. Curran Associates, Inc., Vol. 36. blz. 23671-23700 (Advances in Neural Information Processing Systems).

  Onderzoeksoutput: Conference paper

  • Benchmarking 100%
  • Reinforcement learning 95%
  • Gymnasiums 63%
  • Learning algorithms 56%
  • Application programming interfaces (API) 25%
  6 Citaten (Scopus)

• Behavior Planning for Pruning with Robotic Arms

  Liu, G., Boom, B., De Winter, J., Nowe, A. & Vanderborght, B., okt 2023.

  Onderzoeksoutput: Unpublished paper

  Bestand

  • Robotic arms 100%
  • Orchards 83%
  • Fruits 32%
  • Motion planning 26%
  • Personnel 21%
  148 Downloads (Pure)

• Bridging the Gap Between Single and Multi Objective Games

  Röpke, W., Groenland, C., Radulescu, R., Nowe, A. & Roijers, D. M., mei 2023, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), blz. 224-232 9 blz.

  Onderzoeksoutput: Conference paper › Research

  Open Access

  Bestand

  • Multi agent systems 100%
  • Decision making 76%
  53 Downloads (Pure)

• Cooperative Foraging Behaviour Through Multi-Agent Reinforcement Learning with Graph-Based Communication

  Azmani, H., Rosseau, A., Nowe, A. & Radulescu, R., aug 2023, (Accepted/In press). 17 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

  • Reinforcement learning 100%
  • Communication 50%
  • Profitability 12%
  • Scheduling 9%

• Dealing with Expert Bias in Collective Decision-Making

  Abels, A., Lenaerts, T., Trianni, V. & Nowe, A., jul 2023, In: Artificial Intelligence. 320, 22 blz., 103921.

  Onderzoeksoutput: Article › peer review

  • collective decision 100%
  • Decision making 54%
  • decision making 47%
  • expert 47%
  • Decision Making 42%
  2 Citaten (Scopus)

• Deconstructing Reinforcement Learning Benchmarks: Revealing The Objectives

  Ajridi, S., Röpke, W., Nowe, A. & Radulescu, R., okt 2023. 8 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

• Distributional multi-objective decision making

  Röpke, W., Hayes, C. F., Mannion, P., Howley, E., Nowe, A. & Roijers, D. M., 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: Main Track. International Joint Conferences on Artificial Intelligence, blz. 5711–5719 9 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  • Decision making 100%
  • Set theory 88%
  • Mathematical operators 63%
  • Experiments 24%
  2 Citaten (Scopus)

• Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps

  Perez Sanjines, F. R., Peeters, C., Verstraeten, T., Vervlimmeren, I., Nowe, A. & Helsen, J., 28 sep 2023, ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. ASME, Vol. 14. 9 blz. v014t37a001. (Proceedings of the ASME Turbo Expo; vol. 14).

  Onderzoeksoutput: Conference paper

  • Fault detection 100%
  • Deep learning 96%
  • Turbines 55%
  • Frequency bands 31%

• Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making

  Abels, A., Lenaerts, T., Trianni, V. & Nowe, A., jul 2023, Proceedings of the 40th International Conference on Machine Learning. JMLR, Vol. 202. blz. 79-90 12 blz. (Proceedings of Machine Learning Research).

  Onderzoeksoutput: Conference paper

  Open Access

  • Decision making 100%
  • Trees (mathematics) 78%
  • Decision trees 67%

• Faster and more accurate pathogenic combination predictions with VarCoPP2.0

  Versbraegen, N., Gravel, B., Nachtegael, C., Renaux, A., Verkinderen, E., Nowé, A., Lenaerts, T. & Papadimitriou, S., dec 2023, In: BMC Bioinformatics. 24, 1, 19 blz., 179.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Virulence 100%
  • Prediction 91%
  • Genes 72%
  • Datasets 60%
  • Biological Property 55%
  8 Citaten (Scopus)

  29 Downloads (Pure)

• Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence

  Perez Sanjines, F. R., Peeters, C., Verstraeten, T., Antoni, J., Nowe, A. & Helsen, J., 15 feb 2023, In: Mechanical Systems and Signal Processing. 185, 17 blz., 109760.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Fault detection 100%
  • Deep learning 96%
  • Physics 92%
  • Wind turbines 92%
  • Turbines 83%
  35 Citaten (Scopus)

  51 Downloads (Pure)

• Modular deep learning approach for wind farm power forecasting and wake loss prediction

  Ally, S., Daems, P-J., Verstraeten, T., Nowe, A. & Helsen, J., 9 nov 2023, (Submitted).

  Onderzoeksoutput: Voordruk › peer review

  • learning 68%
  • forecasting 65%
  • loss 44%
  • prediction 41%
  • methodology 16%

• Multi-objective reinforcement learning for guaranteeing alignment with multiple values

  Rodriguez-Soto, M., Radulescu, R., Rodriguez-Aguilar, J. A., Lopez-Sanchez, M. & Nowe, A., mei 2023. 9 blz.

  Onderzoeksoutput: Unpublished paper

  Open Access

  • Reinforcement learning 100%
  • Autonomous vehicles 26%
  • Linear programming 23%
  • Costs 9%

• Multi-Step Generalized Policy Improvement by Leveraging Approximate Models

  Nunes Alegre, L., Bazzan, A., Nowe, A. & Castro da Silva, B., 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Curran Associates, Inc., Vol. 36. blz. 38181-38205

  Onderzoeksoutput: Conference paper

  Open Access

  • Reinforcement learning 100%
  • Learning algorithms 27%
  • Planning 21%

• Optimal Sensor Set for Decoding Motor Imagery from EEG

  Dillen, A., Ghaffari, F., Romain, O., Vanderborght, B., Marusic, U., Grosprêtre, S., Nowe, A., Meeusen, R. & De Pauw, K., apr 2023, In: Applied Sciences. 13, 7, 15 blz., 4438.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • electroencephalography 100%
  • imagery 99%
  • decoding 99%
  • Pipeline 93%
  • Electroencephalography 77%
  3 Citaten (Scopus)

  32 Downloads (Pure)

• Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms

  Chesterman, X., Verstraeten, T., Daems, P-J., Nowe, A. & Helsen, J., 5 jun 2023, In: Wind Energy Science. 8, 6, blz. 893–924 32 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Condition monitoring 100%
  • Farms 93%
  • Wind turbines 82%
  • Experiments 34%
  • Wind power 27%
  9 Citaten (Scopus)

  35 Downloads (Pure)

• Patient-reported outcome measures on mental health and psychosocial factors in patients with Brugada syndrome

  Six, S., Theuns, P., Libin, P., Nowé, A., Pannone, L., Bogaerts, B., Jaxy, S., Olsen, C., Pappaert, G., Grau, I., Sieira, J., Van Dooren, S., Scheirlynck, E., Nekkebroeck, J., Mallefroy, M., de Asmundis, C. & Bilsen, J., 1 sep 2023, In: Europace. 25, 9, blz. 1-10 10 blz., euad205.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Brugada Syndrome 100%
  • Patient Reported Outcome Measures 79%
  • Mental Health 56%
  • Psychology 49%
  • Type D Personality 39%
  1 Citaat (Scopus)

  73 Downloads (Pure)

• Pattern mining based data fusion for wind turbine condition monitoring

  Chesterman, X., Verstraeten, T., Daems, P-J., Nowe, A. & Helsen, J., 21 jun 2023, Journal of Physics: Conference Series. 1 redactie IOP Publishing, Vol. 2507. 13 blz. (Journal of Physics: Conference Series).

  Onderzoeksoutput: Conference paper

  Open Access

  • Data fusion 100%
  • Condition monitoring 97%
  • Wind turbines 80%
  • Preventive maintenance 36%
  • Costs 35%
  1 Citaat (Scopus)

• Safe reinforcement learning for multi-energy management systems with known constraint functions

  Ceusters, G., Camargo, L. R., Franke, R., Nowé, A. & Messagie, M., apr 2023, In: Energy and AI. 12, 17 blz., 100227.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Energy management systems 100%
  • Reinforcement learning 86%
  • Dynamical systems 10%
  9 Citaten (Scopus)

  64 Downloads (Pure)

• Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization

  Nunes Alegre, L., Bazzan, A., Roijers, D. M., Nowe, A. & C. da Silva, B., 2023, (Accepted/In press) AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), blz. 2003–2012 10 blz. (The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)).

  Onderzoeksoutput: Conference paper

  Open Access

  Bestand
  50 Downloads (Pure)