@misc{BauerMalchowMeinel2018, author = {Bauer, Matthias and Malchow, Martin and Meinel, Christoph}, title = {Improving access to online lecture videos}, series = {Proceedings of 2018 IEEE Global Engineering Education Conference (EDUCON)}, journal = {Proceedings of 2018 IEEE Global Engineering Education Conference (EDUCON)}, publisher = {IEEE}, address = {New York}, isbn = {978-1-5386-2957-4}, issn = {2165-9567}, doi = {10.1109/EDUCON.2018.8363361}, pages = {1161 -- 1168}, year = {2018}, abstract = {In university teaching today, it is common practice to record regular lectures and special events such as conferences and speeches. With these recordings, a large fundus of video teaching material can be created quickly and easily. Typically, lectures have a length of about one and a half hours and usually take place once or twice a week based on the credit hours. Depending on the number of lectures and other events recorded, the number of recordings available is increasing rapidly, which means that an appropriate form of provisioning is essential for the students. This is usually done in the form of lecture video platforms. In this work, we have investigated how lecture video platforms and the contained knowledge can be improved and accessed more easily by an increasing number of students. We came up with a multistep process we have applied to our own lecture video web portal that can be applied to other solutions as well.}, language = {en} } @misc{Bauer2004, author = {Bauer, Hartmut}, title = {Kommentierung von \S 5 Wp{\"U}G (Beirat)}, year = {2004}, language = {de} } @misc{BattistonFarmerFlacheetal.2016, author = {Battiston, Stefano and Farmer, J. Doyne and Flache, Andreas and Garlaschelli, Diego and Haldane, Andrew G. and Heesterbeek, Hans and Hommes, Cars and Jaeger, Carlo and May, Robert and Scheffer, Marten}, title = {COMPLEX SYSTEMS Complexity theory and financial regulation}, series = {Science}, volume = {351}, journal = {Science}, publisher = {American Assoc. for the Advancement of Science}, address = {Washington}, issn = {0036-8075}, doi = {10.1126/science.aad0299}, pages = {818 -- 819}, year = {2016}, abstract = {Traditional economic theory could not explain, much less predict, the near collapse of the financial system and its long-lasting effects on the global economy. Since the 2008 crisis, there has been increasing interest in using ideas from complexity theory to make sense of economic and financial markets. Concepts, such as tipping points, networks, contagion, feedback, and resilience have entered the financial and regulatory lexicon, but actual use of complexity models and results remains at an early stage. Recent insights and techniques offer potential for better monitoring and management of highly interconnected economic and financial systems and, thus, may help anticipate and manage future crises.}, language = {en} } @misc{BattistonFarmerFlacheetal.2016, author = {Battiston, Stefano and Farmer, Doyne and Flache, Andreas and Garlaschelli, Diego and Haldane, Andy and Heesterbeek, Hans and Hommes, Cars and Jaeger, Carlo and May, Robert and Scheffer, Marten}, title = {Financial complexity: Accounting for fraud Response}, series = {Science}, volume = {352}, journal = {Science}, publisher = {American Assoc. for the Advancement of Science}, address = {Washington}, issn = {0036-8075}, doi = {10.1126/science.352.6283.302}, pages = {302 -- 302}, year = {2016}, language = {en} } @misc{BartzYangMeinel2018, author = {Bartz, Christian and Yang, Haojin and Meinel, Christoph}, title = {SEE: Towards semi-supervised end-to-end scene text recognition}, series = {Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, Thirtieth Innovative Applications of Artificial Intelligence Conference, Eight Symposium on Educational Advances in Artificial Intelligence}, volume = {10}, journal = {Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, Thirtieth Innovative Applications of Artificial Intelligence Conference, Eight Symposium on Educational Advances in Artificial Intelligence}, publisher = {ASSOC Association for the Advancement of Artificial Intelligence}, address = {Palo Alto}, isbn = {978-1-57735-800-8}, pages = {6674 -- 6681}, year = {2018}, abstract = {Detecting and recognizing text in natural scene images is a challenging, yet not completely solved task. In recent years several new systems that try to solve at least one of the two sub-tasks (text detection and text recognition) have been proposed. In this paper we present SEE, a step towards semi-supervised neural networks for scene text detection and recognition, that can be optimized end-to-end. Most existing works consist of multiple deep neural networks and several pre-processing steps. In contrast to this, we propose to use a single deep neural network, that learns to detect and recognize text from natural images, in a semi-supervised way. SEE is a network that integrates and jointly learns a spatial transformer network, which can learn to detect text regions in an image, and a text recognition network that takes the identified text regions and recognizes their textual content. We introduce the idea behind our novel approach and show its feasibility, by performing a range of experiments on standard benchmark datasets, where we achieve competitive results.}, language = {en} } @misc{BartzYangBethgeetal.2019, author = {Bartz, Christian and Yang, Haojin and Bethge, Joseph and Meinel, Christoph}, title = {LoANs}, series = {Computer Vision - ACCV 2018 Workshops}, volume = {11367}, journal = {Computer Vision - ACCV 2018 Workshops}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-21074-8}, issn = {0302-9743}, doi = {10.1007/978-3-030-21074-8_29}, pages = {341 -- 356}, year = {2019}, abstract = {Recently, deep neural networks have achieved remarkable performance on the task of object detection and recognition. The reason for this success is mainly grounded in the availability of large scale, fully annotated datasets, but the creation of such a dataset is a complicated and costly task. In this paper, we propose a novel method for weakly supervised object detection that simplifies the process of gathering data for training an object detector. We train an ensemble of two models that work together in a student-teacher fashion. Our student (localizer) is a model that learns to localize an object, the teacher (assessor) assesses the quality of the localization and provides feedback to the student. The student uses this feedback to learn how to localize objects and is thus entirely supervised by the teacher, as we are using no labels for training the localizer. In our experiments, we show that our model is very robust to noise and reaches competitive performance compared to a state-of-the-art fully supervised approach. We also show the simplicity of creating a new dataset, based on a few videos (e.g. downloaded from YouTube) and artificially generated data.}, language = {en} } @misc{BartholomaeusLenhard2019, author = {Bartholom{\"a}us, Lisa and Lenhard, Michael}, title = {Plant Biology: Learning to Love Yourself}, series = {Current biology}, volume = {29}, journal = {Current biology}, number = {14}, publisher = {Cell Press}, address = {Cambridge}, issn = {0960-9822}, doi = {10.1016/j.cub.2019.06.015}, pages = {R695 -- R697}, year = {2019}, abstract = {In self-incompatible plants the female style rejects self pollen, yet the extent to which the female style in the many self-compatible species can still select between different pollen genotypes and thus bias fertilization success is unclear. A new study identifies the molecular basis for how styles of the self-compatible coyote tobacco bias the fertilization success of pollen genotypes using matching gene expression patterns in a manner analogous to cryptic female choice in animals.}, language = {en} } @misc{BarrettEcksteinHurleyetal.2018, author = {Barrett, Lindsay and Eckstein, Lars and Hurley, Andrew Wright and Schwarz, Anja}, title = {Remembering German-Australian colonial entanglement}, series = {Postcolonial studies : culture, politics, economy}, volume = {21}, journal = {Postcolonial studies : culture, politics, economy}, number = {1}, publisher = {Routledge, Taylor \& Francis Group}, address = {Abingdon}, issn = {1368-8790}, doi = {10.1080/13688790.2018.1443671}, pages = {1 -- 5}, year = {2018}, language = {en} } @misc{BarniskeOskinovaHamann2016, author = {Barniske, Andreas and Oskinova, Lida and Hamann, Wolf-Rainer}, title = {Two extremely luminous WN stars in the Galactic center with circumstellar emission from dust and gas (vol 486, pg 971, 2008)}, series = {Physical chemistry, chemical physics : a journal of European Chemical Societies}, volume = {587}, journal = {Physical chemistry, chemical physics : a journal of European Chemical Societies}, publisher = {EDP Sciences}, address = {Les Ulis}, issn = {1432-0746}, doi = {10.1051/0004-6361/200809568e}, pages = {1}, year = {2016}, language = {en} } @misc{BarlowShengLaietal.2018, author = {Barlow, Axel and Sheng, Gui-Lian and Lai, Xu-Long and Hofreiter, Michael and Paijmans, Johanna L. A.}, title = {Once lost, twice found: Combined analysis of ancient giant panda sequences characterises extinct clade}, series = {Journal of biogeography}, volume = {46}, journal = {Journal of biogeography}, number = {1}, publisher = {Wiley}, address = {Hoboken}, issn = {0305-0270}, doi = {10.1111/jbi.13486}, pages = {251 -- 253}, year = {2018}, language = {en} }