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A list of all pages that have property "References" with value "https://dl.acm.org/doi/pdf/10.1145/3564625.3567988". Since there have been only a few results, also nearby values are displayed.

Showing below up to 21 results starting with #1.

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List of results

  • Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring  + (Y. Kim and S. Sohn, "Stock fraud detectionY. Kim and S. Sohn, "Stock fraud detection using peer group analysis", Expert Systems with Applications, vol. 39, no. 10, pp. 8986-8992, 2012.</br></br>D. Weston, D. Hand, N. Adams, C. Whitrow and P. Juszczak, "Plastic card fraud detection using peer group analysis", Advances in Data Analysis and Classification, vol. 2, no. 1, pp. 45-62, 2008.</br></br>D. Weston, N. Adams, Y. Kim and D. Hand, "Fault Mining Using Peer Group Analysis", Challenges at the Interface of Data Analysis, Computer Science, and Optimization, pp. 453-461, 2012.ence, and Optimization, pp. 453-461, 2012.)
  • Leveraging LLMs for Clinical Note Annotation and Uncertainty Estimation  + (Yang, Zhichao, et al. "Multi-label few-shoYang, Zhichao, et al. "Multi-label few-shot ICD coding as autoregressive generation with prompt." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. No. 4. 2023.</br></br>Liu, Leibo, et al. "Automated icd coding using extreme multi-label long text transformer-based models." Artificial Intelligence in Medicine (2023): 102662.</br></br>Hu, Edward J., et al. "Lora: Low-rank adaptation of large language models." arXiv preprint arXiv:2106.09685 (2021).</br></br>Sensoy, Murat, Lance Kaplan, and Melih Kandemir. "Evidential deep learning to quantify classification uncertainty." Advances in neural information processing systems 31 (2018). information processing systems 31 (2018).)
  • 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 mYousif, 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 IshigYusuke 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 HarcZeynep 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: DiscriminativZhang, 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.ohttp://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/artichttp://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/artichttp://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 httphttps://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)