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This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• Knowledge graphs 4 XAI in Healthcare  + (https://www.sciencedirect.com/science/arti … https://www.sciencedirect.com/science/article/pii/S1566253523001148</br>https://www.sciencedirect.com/science/article/abs/pii/S1532046425000905</br>https://www.sciencedirect.com/science/article/pii/S0004370221001788</br>https://www.sciencedirect.com/science/article/pii/S1532046423001247</br>https://arxiv.org/abs/2402.12608423001247 https://arxiv.org/abs/2402.12608)
• Analyzing Privacy Policies (NLP) -- Malware Analysis  + (https://www.usenix.org/system/files/sec22- … https://www.usenix.org/system/files/sec22-manandhar.pdf</br>https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7579770&tag=1</br>https://dl.acm.org/doi/pdf/10.1145/3442381.3450048</br>https://dspace.networks.imdea.org/bitstream/handle/20.500.12761/690/On_The_Ridiculousness_of_Notice_and_Consent_2019_EN.pdf?sequence=1s_of_Notice_and_Consent_2019_EN.pdf?sequence=1)
• Hide-and-Seek Privacy Challenge (NeurIPS 2020)  + (https://www.vanderschaar-lab.com/privacy-challenge/)
• Automated Inference regarding Goals in Elite Football Data  + (https://www.worldatlas.com/articles/what-a … https://www.worldatlas.com/articles/what-are-the-most-popular-sports-in-the-world.html</br>https://www.alliedmarketresearch.com/football-market-A11328</br></br>Jordet, G., Aksum, K. M., Pedersen, D. N., Walvekar, A., Trivedi, A., McCall, A., ... & Priestley, D. (2020). Scanning, contextual factors, and association with performance in english premier league footballers: an investigation across a season. Frontiers in psychology, 11, 553813.</br></br>Decroos, T., & Davis, J. (2019, September). Player vectors: Characterizing soccer players’ playing style from match event streams. In Joint European conference on machine learning and knowledge discovery in databases (pp. 569-584). Springer, Cham.covery in databases (pp. 569-584). Springer, Cham.)
• Forecast energy consumption in buildings to help Mestro customers save energy  + (https://www.youtube.com/watch?v=XAb7faAK7_0 https://www.youtube.com/watch?v=f_d8m8tHcMg)
• Forecasting Industrial IoT Time Series @AlfaLaval  + (https://www.youtube.com/watch?v=ZuydOEws92s)

• Chess playing humanoid robot by vision  + (https://www.youtube.com/watch?v=gXOkWuSCkRI)

• Pose & distance of toy-vehicles in front by spirals  + (https://www.youtube.com/watch?v=nixxFXZ-X3s)
• Multi-robot trajectory adaptation using a state-time elastic band approach  + (tbd)
• Positioning of the user at the HINT  + (wireless communication, digital communication)
• Deep feature analysis and extraction on Logged Vehicle data for the task of predictive maintenance  + (• Doquet, Guillaume, and Michele Sebag. "A … • Doquet, Guillaume, and Michele Sebag. "Agnostic feature selection." The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2019</br>• Prytz, Rune, et al. "Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data." Engineering applications of artificial intelligence 41 (2015): 139-150.rtificial intelligence 41 (2015): 139-150.)
• Embedding DNN models on mobile robots for object detection  + (• Pan, Sinno Jialin, and Qiang Yang. "A su … • Pan, Sinno Jialin, and Qiang Yang. "A survey on transfer learning." IEEE Transactions on knowledge and data engineering 22.10 (2009): 1345-1359.</br>• Yosinski, Jason, et al. "How transferable are features in deep neural networks?." Advances in neural information processing systems. 2014.ural information processing systems. 2014.)