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List of results

• Piglets Detection and Counting using Deep Neural Networks  + (Yolo: https://pjreddie.com/darknet/yolo/)
• Social touch for robots  + (You can read some papers by Breazeal and Dautenhahn about social robots.)
• Quantifying exercise-induced muscle fatigue by machine learning  + (Yousif, Hayder A., et al. "Assessment of m … Yousif, Hayder A., et al. "Assessment of muscles fatigue based on surface EMG signals using machine learning and statistical approaches: a review." IOP conference series: materials science and engineering. Vol. 705. No. 1. IOP Publishing, 2019.</br></br>Karlik, Bekir. "Machine learning algorithms for characterization of EMG signals." International Journal of Information and Electronics Engineering 4.3 (2014): 189.</br></br>Rampichini, S., Vieira, T. M., Castiglioni, P., & Merati, G. (2020). Complexity analysis of surface electromyography for assessing the myoelectric manifestation of muscle fatigue: A review. Entropy, 22(5), 529.</br></br>Carroll, T. J., Taylor, J. L., & Gandevia, S. C. (2017). Recovery of central and peripheral neuromuscular fatigue after exercise. Journal of Applied Physiology, 122(5), 1068-1076.</br></br>Yousefi, J., & Hamilton-Wright, A. (2014). Characterizing EMG data using machine-learning tools. Computers in biology and medicine, 51, 1-13.ng tools. Computers in biology and medicine, 51, 1-13.)
• Courteous robot guide for visitors to an intelligent home  + (Yusuke Kato, Takayuki Kanda, Hiroshi Ishig … Yusuke Kato, Takayuki Kanda, Hiroshi Ishiguro. May I help you? Design of Human-like Polite Approaching Behavior. HRI 2015: 35-42</br>Tomoko Yonezawa, Hirotake Yamazoe, Akira Utsumi, Shinji Abe. Anthropomorphic </br>awareness of partner robot to user’s situation based on gaze and speech detection. International Journal of Autonomous and Adaptive Communications Systems. Volume 5, Issue 1. DOI: 10.1504/IJAACS.2012.044782, Issue 1. DOI: 10.1504/IJAACS.2012.044782)
• Data Mining In a Warehouse Inventory  + (Zeynep Akata, Florent Perronnin, Zaid Harc … Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid. Good Practice in Large-Scale Learning for Image Classi cation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, 36 (3), pp.507-520.<10.1109/TPAMI.2013.146>.<hal-00835810></br></br>Florent Perronnin, Zeynep Akata, Zaid Harchaoui, Cordelia Schmid. Towards Good Practice in Large-Scale Learning for Image Classification. CVPR 2012 - IEEE Computer Vision and Pattern Recognition, Jun 2012, Providence (RI), United States. IEEE, pp.3482-3489, 2012,<10.1109/CVPR.2012.6248090>.<hal-00690014></br></br>Raphael Puget, Nicolas Baskiotis, Patrick Gallinari. Sequential Dynamic Classi cation for Large Scale Multi-class Problems. Extreme Classi cation Workshop at ICML, Jul 2015, Lille,France. 2015.<hal-01207428>ion Workshop at ICML, Jul 2015, Lille,France. 2015.<hal-01207428>)
• Obstacle Identification from 3D Data for AGVs in a Warehouse Environment  + (Zhang, Hao, et al. "SVM-KNN: Discriminativ … Zhang, Hao, et al. "SVM-KNN: Discriminative nearest neighbor classification for visual category recognition." Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. Vol. 2. IEEE, 2006.</br></br>Golovinskiy, Aleksey, Vladimir G. Kim, and Thomas Funkhouser. "Shape-based recognition of 3D point clouds in urban environments." Computer Vision, 2009 IEEE 12th International Conference on. IEEE, 2009.</br></br>Rusu, Radu Bogdan, and Steve Cousins. "3d is here: Point cloud library (pcl)." Robotics and Automation (ICRA), 2011 IEEE International Conference on. IEEE, 2011.</br></br>Nüchter, Andreas, and Joachim Hertzberg. "Towards semantic maps for mobile robots." Robotics and Autonomous Systems 56.11 (2008): 915-926.</br></br>Lai, Kevin, and Dieter Fox. "Object recognition in 3D point clouds using web data and domain adaptation." The International Journal of Robotics Research 29.8 (2010): 1019-1037.</br></br>Brostow, Gabriel J., et al. "Segmentation and recognition using structure from motion point clouds." Computer Vision–ECCV 2008. Springer Berlin Heidelberg, 2008. 44-57.</br></br>Rusu, Radu Bogdan, et al. "Fast 3d recognition and pose using the viewpoint feature histogram." Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on. IEEE, 2010.</br></br>Drost, Bertram, et al. "Model globally, match locally: Efficient and robust 3D object recognition." Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on. IEEE, 2010.VPR), 2010 IEEE Conference on. IEEE, 2010.)
• Project with chargefinder.com  + (http://chargefinder.com/)
• Merging Clothoids with B-Splines  + (http://en.wikipedia.org/wiki/B-spline http://en.wikipedia.org/wiki/Clothoid)
• Evolutionary Behavior Trees for Multi-Agent Task-Oriented Environment  + (http://frail.ii.pwr.edu.pl/)
• Simulating Crowds for Traffic Safety Research  + (http://gamma.cs.unc.edu/research/crowds/ http://www.coppeliarobotics.com/)
• Detecting Faults and Estimating Missing Values in Smart Meter Data  + (http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5524054 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1425550)
• Acumen Robot Model Series  + (http://www.acumen-language.org/ http://en.wikipedia.org/wiki/SCARA SCARA)
• Evaluation of Open Source Robot Simulators for Smart Mobility Applications  + (http://www.gcdc.net/ http://en.wikipedia.o … http://www.gcdc.net/</br>http://en.wikipedia.org/wiki/Research_and_development</br>http://en.wikipedia.org/wiki/Verification_and_validation</br>http://www.robocup.org/</br>http://www.theroboticschallenge.org/aboutsimulator.aspx</br>http://www.coppeliarobotics.com/</br>http://gazebosim.org/oppeliarobotics.com/ http://gazebosim.org/)
• RaspberryPiVolvoLogger  + (http://www.raspberrypi.org/ http://lnxpps.de/rpie/ http://islab.hh.se/mediawiki/index.php/ReDi2Service http://www.youtube.com/watch?v=KJ5hMkWPEGY)
• Model Volvo Truck Lifetime Repair History  + (http://www.sciencedirect.com/science/artic … http://www.sciencedirect.com/science/article/pii/S000437029800023X</br></br>http://www.pomdp.org/index.shtml</br></br>http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.7714</br></br>http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.1619</br></br>http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.335.8737su.edu/viewdoc/summary?doi=10.1.1.335.8737)
• Understand Patterns in Volvo Truck Lifetime Repair History  + (http://www.sciencedirect.com/science/artic … http://www.sciencedirect.com/science/article/pii/S000437029800023X</br></br>http://www.pomdp.org/index.shtml</br></br>http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.7714</br></br>http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.1619</br></br>http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.335.8737su.edu/viewdoc/summary?doi=10.1.1.335.8737)
• Human Value Detection  + (https://aclanthology.org/2022.acl-long.306.pdf https://www.youtube.com/watch?v=ZAQ4LELCCY4)
• Zero-Shot Learning for Semantic Segmentation  + (https://arxiv.org/pdf/1707.00600.pdf http … https://arxiv.org/pdf/1707.00600.pdf</br></br>https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41473.pdf</br></br>https://arxiv.org/pdf/1906.00817.pdf</br></br>https://openaccess.thecvf.com/content_ICCVW_2019/papers/MDALC/Kato_Zero-Shot_Semantic_Segmentation_via_Variational_Mapping_ICCVW_2019_paper.pdf</br></br>https://github.com/daooshee/Few-Shot-Learningps://github.com/daooshee/Few-Shot-Learning)
• Knowledge graphs in healthcare  + (https://dl.acm.org/doi/10.1145/3447772 https://arxiv.org/abs/2306.04802)
• Analysing comments (NLP) for Malware Analysis  + (https://dl.acm.org/doi/pdf/10.1145/3564625.3567988)

• Anomaly Detection in Time Series Data Using Generative Models  + (https://github.com/exathlonbenchmark/exathlon)

• Object Movement Prediction for Autonomous Cars  + (https://motchallenge.net https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection https://arxiv.org/pdf/1909.07707.pdf)
• Fair Conformal Prediction  + (https://ojs.aaai.org/index.php/AAAI/article/view/21459)
• Generative Approach for Multivariate Signals  + (https://papers.nips.cc/paper/8789-time-series-generative-adversarial-networks.pdf https://openreview.net/pdf?id=Sy2fzU9gl https://www.sciencedirect.com/science/article/pii/S092658051930367X)
• Image Retrieval for Arguments  + (https://touche.webis.de/clef22/touche22-web/image-retrieval-for-arguments.html)
• Project with Atos  + (https://www.atosmedical.com)
• Time Series Motif/Discord Discovery Under Context  + (https://www.cs.ucr.edu/~eamonn/Matrix_Profile_Tutorial_Part1.pdf https://www.cs.ucr.edu/~eamonn/Matrix_Profile_Tutorial_Part2.pdf)
• Timeseries XAI in Cybersecurity and Industry  + (https://www.sciencedirect.com/science/article/pii/S1566253523001148 https://www.nature.com/articles/s41597-025-04603-x)
• 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.)