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Oktober 2019
Extracting extreme aspects from time series with applications
Posted on 10. Oktober 2019 by Margit Letter Prof. Milan Stehlík | October 18, 2019 | 15:00 | V.1.27 Abstract: Extracting chaotical and stochastic parts of information from time series needs very specific techniques. Motivated by two applications, image processing for cancer discrimination and methane emissions modelling we will explain the necessary techniques for statistical learning on chaotical and stochastic parts from data. In particular, Tsallis Entropy will be introduced and its role in information theory for dynamical system explained.…
Erfahren Sie mehr »November 2019
Quality of Experience – Measuring Quality from the End-User Perspective
Dr. Raimund Schatz | Nov 20, 2019 | 10:00 | Lakeside B12b.1.1 Abstract: Over last 15 years, Quality of Experience (QoE) has evolved from a buzzword to a holistic, mature scientific concept that captures the entire experience that a person has with a multimedia communication service (e.g. online video, web browsing, telephony, etc.). This talk provides an introduction to the concept of QoE and its operationalization in subjective experiments. To this end we first review the origins of QoE as well…
Erfahren Sie mehr »Connecting Trust – decentralization of the internet
Assoc.-Prof. Dr. Antorweep Chakravorty | November 25, 2019 | 16:00 | S.2.42 Abstract: Blockchain is an innovation for creating distributed trust between users facilitating the exchange of value over a network. It can be seen as a decentralized read-only database operated collectively by participants in the network. Participants in the network can be different organizations that provide computing infrastructure to maintain a single version of a decentralized ledger. Each participant locally maintain the same version of this ledger in their…
Erfahren Sie mehr »Dezember 2019
Empirical review of Java program repair tools: a large-scale experiment on 2,141 bugs and 23,551 repair attempts
Assoc.-Prof. Rui Abreu (Universität Lissabon) | 19.12.2019 | 10:00 Uhr | S.1.37 Abstract: In the past decade, research on test-suite-based automatic program repair has grown significantly. Each year, new approaches and implementations are featured in major software engineering venues. However, most of those approaches are evaluated on a single benchmark of bugs, which are also rarely reproduced by other researchers. In this paper, we present a large-scale experiment using 11 Java test-suite-based repair tools and 2,141 bugs from 5 benchmarks. Our goal is…
Erfahren Sie mehr »März 2020
Two Methods for Retrieving Tens of Billions of High-Dimensional Features
Björn Thór Jónsson, Associate Professor IT University of Copenhagen, Denmark & Reykjavik University, Iceland 02.03.2020 | 10.00 | S.2.42 Abstract: Scalable retrieval of high-dimensional feature vectors is an important component of many applications in multimedia and other fields, but also a very challenging problem. In this talk, we discuss the challenges of high-dimensional indexing at scale, and then present two approximate indexing methods designed for large-scale retrieval. We present results from experiments with the two largest feature collections reported in…
Erfahren Sie mehr »September 2020
Content-gnostic Bitrate Ladder Prediction for Adaptive Video Streaming Angeliki Katsenou | University of Bristol | September 29, 2020 | 10:00 (CET, 08:00 UTC) | online (registration here) Abstract: Cisco reported in the past reports that the video data share was expected to reach 80% by the year 2023. However, due to the pandemic and recently imposed a remote work lifestyle, this figure is expected to increase even more. Except for the on-demand and conferencing services, the number of users that…
Erfahren Sie mehr »Oktober 2020
In the region – for the region? The multiple roles of universities for their (rural) siting region
DI Dr. Verena Radinger-Peer Institute for Sustainable Economic Development, University of Natural Resources and Life Sciences, BOKU Vienna Friday, October 23rd, 2020 | 9:30 - 12:30, HS10 Abstract: Locating universities in regions where they should spur regional development has been recognized as an important regional political ''instrument'' since the middle of the twentieth century. The expected impacts on regional development range from economic, political, demographic, infrastructural, cultural, educational, to social. Thereby various studies confirm that a) the university-region setting is…
Erfahren Sie mehr »Juni 2021
Standardising the compressed representation of neural networks
Werner Bailer | Joanneum Research, Graz | Friday, June 25, 2021 | 10:00 (CET, 08:00 UTC) | online via Zoom https://zoom.us/meeting/register/tJAudumqqz4vGdGhqTSUUUo6eNaEyAi5bKk8 Abstract: Artificial neural networks have been adopted for a broad range of tasks in multimedia analysis and processing, such as visual and acoustic classification, extraction of multimedia descriptors or image and video coding. The trained neural networks for these applications contain a large number of parameters (weights), resulting in a considerable size. Thus, transferring them to a number of clients…
Erfahren Sie mehr »Juni 2022
Machine Learning in Finance via Randomization
Friday, June 10th 2022 | 10:00 am (CET) | Room: N.2.35 | Josef Teichmann | Prof. at ETH Zürich Abstract: Randomized Signature or random feature selection are two instances of machine learning, where randomly chosen structures appear to be highly expressive. We analyze several aspects of the theory behind it, show that these structures have several theoretically attractive properties and introduce two classes of examples from finance (joint works with Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Martin Larsson, and Juan-Pablo…
Erfahren Sie mehr »Juli 2022
Towards a Data-driven Identification of Teaching-Patterns
Abstract: When it comes to integrating digital technologies into the classroom in higher education, many teachers face similar challenges. Nevertheless, it is difficult for teachers to share experiences because it is usually not possible to transfer successful teaching scenarios directly from one area to another, as subject-specific characteristics make it difficult to reuse them. To address this problem, instructional scenarios can be described as patterns that have been used previously in educational contexts. Patterns can capture proven teaching strategies and…
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