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aira:start [2024/04/25 12:10] – [Schedule Summer 2024] sbk | aira:start [2024/05/20 09:31] – [Schedule Summer 2024] sbk | ||
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===== Schedule Summer 2024 ===== | ===== Schedule Summer 2024 ===== | ||
+ | * **[RESEARCH TRACK] 2024.05.23**: | ||
+ | * Meeting link: [[https:// | ||
+ | * Recording: [[|View]] (if you are not UJ employee, ask Szymon Bobek for access) | ||
+ | * Presentation slides: {{ |Download}} | ||
+ | * **[DOCTORAL TRACK] 2024.05.16**: | ||
+ | * Meeting link: [[https:// | ||
+ | * Recording: [[|View]] (if you are not UJ employee, ask Szymon Bobek for access) | ||
+ | * Presentation slides: {{ |Download}} | ||
+ | * **[RESEARCH TRACK] 2024.05.09**: | ||
+ | * Meeting link: [[https:// | ||
+ | * Recording: [[https:// | ||
+ | * Presentation slides: TBA | ||
* **[DOCTORAL TRACK] 2024.04.25**: | * **[DOCTORAL TRACK] 2024.04.25**: | ||
* Meeting link: [[https:// | * Meeting link: [[https:// | ||
- | * Recording: [[|View]] (if you are not UJ employee, ask Szymon Bobek for access) | + | * Recording: [[https:// |
* Presentation slides: {{ |Download}} | * Presentation slides: {{ |Download}} | ||
* **[DOCTORAL TRACK] 2024.04.18** | * **[DOCTORAL TRACK] 2024.04.18** | ||
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* Meeting link: [[https:// | * Meeting link: [[https:// | ||
* Recording: [[https:// | * Recording: [[https:// | ||
- | * Presentation slides: {{|Download}} | + | * Presentation slides: {{ : |
* **[RESEARCH TRACK] 2024.03.28**: | * **[RESEARCH TRACK] 2024.03.28**: | ||
* Meeting link: [[https:// | * Meeting link: [[https:// | ||
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===== Presentation details ===== | ===== Presentation details ===== | ||
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+ | ==== 2024-05-23 ==== | ||
+ | <WRAP column 15%> | ||
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+ | **Speaker**: | ||
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+ | **Title**: On translating VR into philosophy. Experiences from the EduVRLab Laboratory | ||
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+ | **Abstract**: | ||
+ | Until a few years ago, VR technology seemed a narrow niche, inaccessible to the average viewer. The rapid development, | ||
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+ | **Biogram**: | ||
+ | Dr hab Jowita Guja, Prof. AGH -- Philosopher and cultural studies scholar, PhD in Cultural and Religious Studies. Her research interests include virtual reality, philosophical anthropology and the analysis of popular culture He heads the Department of Information Technology and Media at the | ||
+ | Faculty of Humanities at the AGH University of Science and Technology, where he teaches, among other things, cognitive science, cultural theory, contemporary literature and the design and use of VR and AR technologies. | ||
+ | She is among the founders of the EduVRLab Virtual Reality Research Laboratory at AGH in Krakow. As of 2019, she serves as its director. She is co-author of the experimental app ' | ||
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+ | ==== 2024-05-09 ==== | ||
+ | <WRAP column 15%> | ||
+ | {{ : | ||
+ | </ | ||
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+ | <WRAP column 75%> | ||
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+ | **Speaker**: | ||
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+ | **Title**: Deep Learning for Anomaly Detection in Multivariate Time Series Approaches, Applications, | ||
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+ | **Abstract**: | ||
+ | Anomaly detection has recently been applied to various areas, and | ||
+ | several techniques based on deep learning have been proposed for the | ||
+ | analysis of multivariate time series. In this talk, I will talk about | ||
+ | how to classify the anomalies into three types, namely abnormal time | ||
+ | points, time intervals, and time series, and review the | ||
+ | state-of-the-art deep learning techniques for the detection of each of | ||
+ | these types. Long short-term memory and autoencoders are the most | ||
+ | commonly used methods for detecting abnormal time points and time | ||
+ | intervals. In addition, some studies have implemented dynamic graphs | ||
+ | to examine relational features between the time series and detect | ||
+ | abnormal time intervals. However, anomaly detection still faces some | ||
+ | limitations and challenges, such as the explainability of anomalies. | ||
+ | Many studies have focused only on anomaly detection methods but failed | ||
+ | to consider the reasons for the anomalies. Therefore, increasing the | ||
+ | explainability of anomalies is an important research topic in anomaly | ||
+ | detection. | ||
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+ | **Biogram**: | ||
+ | Jason J. Jung is a Full Professor in Chung-Ang University, Korea, | ||
+ | since September 2014. Before joining CAU, he was an Assistant | ||
+ | Professor in Yeungnam University, Korea since 2007. Also, he was a | ||
+ | postdoctoral researcher in INRIA Rhone-Alpes, | ||
+ | visiting scientist in Fraunhofer Institute (FIRST) in Berlin, Germany | ||
+ | in 2004. He received the B.Eng. in Computer Science and Mechanical | ||
+ | Engineering from Inha University in 1999. He received M.S. and Ph.D. | ||
+ | degrees in Computer and Information Engineering from Inha University | ||
+ | in 2002 and 2005, respectively. His research topics are knowledge | ||
+ | engineering on social networks by using many types of AI | ||
+ | methodologies, | ||
+ | reasoning. Recently, he has been working on intelligent schemes to | ||
+ | understand various social dynamics in large scale social media. | ||
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==== 2024-04-25 ==== | ==== 2024-04-25 ==== |