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Where Can I Buy a Boulder?

Sandro Bauer, Filip Radlinski, Ryen W. White
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
People commonly need to purchase things in person, from large garden supplies to home decor. Although modern search systems are very effective at finding online products, little research attention has been paid to helping users find places that sell a specific product offline. For instance, users searching for an apron are not typically directed to a nearby kitchen store by a standard search engine. In this paper, we investigate "where can I buy"-style queries related to in-person purchases of
more » ... roducts and services. Answering these queries is challenging since little is known about the range of products sold in many stores, especially those which are smaller in size. To better understand this class of queries, we first present an in-depth analysis of typical offline purchase needs as observed by a major search engine, producing an ontology of such needs. We then propose ranking features for this new problem, and learn a ranking function that returns stores most likely to sell a queried item or service, even if there is very little information available online about some of the stores. Our final contribution is a new evaluation framework that combines distance with store relevance in measuring the effectiveness of such a search system. We evaluate our method using this approach and show that it outperforms a modern web search engine.
doi:10.1145/2872427.2882998 dblp:conf/www/BauerRW16 fatcat:2kirwyzdnfdnnd75l5usq7md64

Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles [chapter]

Sandro Bauer, Stephen Clark, Thore Graepel
2015 Lecture Notes in Computer Science  
This paper addresses a central sub-task of timeline creation from historical Wikipedia articles: learning from text which of the person names in a textual article should appear in a timeline on the same topic. We first process hundreds of timelines written by human experts and related Wikipedia articles to construct a corpus that can be used to evaluate systems that create history timelines from text documents. We then use a set of features to train a classifier that predicts the most important
more » ... person names, resulting in a clear improvement over a competitive baseline.
doi:10.1007/978-3-319-15168-7_30 fatcat:zyxnovggibhdfg532hmqnucfae

Unsupervised Timeline Generation for Wikipedia History Articles

Sandro Bauer, Simone Teufel
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
Evaluation For evaluating our algorithms, the methodology we introduced in (Bauer and Teufel, 2015) is used, along with the accompanying Cambridge Single-Document Timeline Corpus (CSDTC, version 2.0)  ... 
doi:10.18653/v1/d16-1259 dblp:conf/emnlp/BauerT16 fatcat:z6oscy4vkfhznbffydvi6srgxq

Learning a Theory of Marriage (and Other Relations) from a Web Corpus [chapter]

Sandro Bauer, Stephen Clark, Laura Rimell, Thore Graepel
2014 Lecture Notes in Computer Science  
This paper describes a method for learning which relations are highly associated with a given seed relation such as marriage or working for a company. Relation instances taken from a large knowledge base are used as seeds for obtaining candidate sentences expressing the associated relations. Relations of interest are identified by parsing the sentences and extracting dependency graph fragments, which are then ranked to determine which of them are most closely associated with the seed relation.
more » ... e call the sets of associated relations relation theories. The quality of the induced theories is evaluated using human judgements.
doi:10.1007/978-3-319-06028-6_62 fatcat:3tbuebbwjfgdnlmee7fbrciei4

Preface of Special Issue on "Computer Security: Foundations and Automated Reasoning"

Lujo Bauer, Sandro Etalle, Jerry den Hartog, Luca Viganò
2010 Journal of automated reasoning  
doi:10.1007/s10817-010-9184-z fatcat:tortcoymezaozmitgc66croehm

Picosecond ultrasonics with a free-running dual-comb laser [article]

Justinas Pupeikis, Benjamin Willenberg, Francois Bruno, Mike Hettich, Alexander Nussbaum-Lapping, Matthias Golling, Carolin P. Bauer, Sandro L. Camenzind, Abdelmjid Benayad, Patrice Camy, Bertrand Audoin, Christopher R. Phillips (+1 others)
2021 arXiv   pre-print
We present a free-running 80-MHz dual-comb polarization-multiplexed solid-state laser which delivers 1.8 W of average power with 110-fs pulse duration per comb. With a high-sensitivity pump-probe setup, we apply this free-running dual-comb laser to picosecond ultrasonic measurements. The ultrasonic signatures in a semiconductor multi-quantum-well structure originating from the quantum wells and superlattice regions are revealed and discussed. We further demonstrate ultrasonic measurements on a
more » ... hin-film metalized sample and compare these measurements to ones obtained with a pair of locked femtosecond lasers. Our data show that a free-running dual-comb laser is well-suited for picosecond ultrasonic measurements and thus it offers a significant reduction in complexity and cost for this widely adopted non-destructive testing technique.
arXiv:2109.00457v1 fatcat:retxfz2b7zfkfj6xczigq4ey6a

HYENA-live: Fine-Grained Online Entity Type Classification from Natural-language Text

Mohamed Amir Yosef, Sandro Bauer, Johannes Hoffart, Marc Spaniol, Gerhard Weikum
2013 Annual Meeting of the Association for Computational Linguistics  
Recent research has shown progress in achieving high-quality, very fine-grained type classification in hierarchical taxonomies. Within such a multi-level type hierarchy with several hundreds of types at different levels, many entities naturally belong to multiple types. In order to achieve high-precision in type classification, current approaches are either limited to certain domains or require time consuming multistage computations. As a consequence, existing systems are incapable of
more » ... ad-hoc type classification on arbitrary input texts. In this demo, we present a novel Webbased tool that is able to perform domain independent entity type classification under real time conditions. Thanks to its efficient implementation and compacted feature representation, the system is able to process text inputs on-the-fly while still achieving equally high precision as leading state-ofthe-art implementations. Our system offers an online interface where natural-language text can be inserted, which returns semantic type labels for entity mentions. Further more, the user interface allows users to explore the assigned types by visualizing and navigating along the type-hierarchy.
dblp:conf/acl/YosefBHSW13 fatcat:6xtvqtcx2nd2tncrn3lowrdse4

Picosecond ultrasonics with a free-running dual-comb laser

Justinas Pupeikis, Benjamin Willenberg, Francois Bruno, Mike Hettich, Alexander Nussbaum-Lapping, Matthias Golling, Carolin Bauer, Sandro Camenzind, Abdelmjid Benayad, Patrice Camy, Bertrand Audoin, Christopher Phillips (+1 others)
2021 Optics Express  
We present a free-running 80-MHz dual-comb polarization-multiplexed solid-state laser which delivers 1.8 W of average power with 110-fs pulse duration per comb. With a high-sensitivity pump-probe setup, we apply this free-running dual-comb laser to picosecond ultrasonic measurements. The ultrasonic signatures in a semiconductor multi-quantum-well structure originating from the quantum wells and superlattice regions are revealed and discussed. We further demonstrate ultrasonic measurements on a
more » ... hin-film metalized sample and compare these measurements to ones obtained with a pair of locked femtosecond lasers. Our data show that a free-running dual-comb laser is well-suited for picosecond ultrasonic measurements and thus it offers a significant reduction in complexity and cost for this widely adopted non-destructive testing technique.
doi:10.1364/oe.440856 pmid:34809002 fatcat:pi342n6nxjhlneof4p5ssfmtna

Talking Places: Modelling and Analysing Linguistic Content in Foursquare

Sandro Bauer, Anastasios Noulas, Diarmuid O. Seaghdha, Stephen Clark, Cecilia Mascolo
2012 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing  
The advent of online social media and the growing popularity of sensor-equipped mobile devices have created a vast landscape of location-aware applications and services. This goldmine of data, including temporal and spatial information of unprecedented granularity, can help researchers gain insights into the behavioural patterns of people at a global scale. Here we analyse the textual content of millions of comments published alongside Foursquare user check-ins. For this, we extend a standard
more » ... pic modelling approach so that it explicitly takes into account geographic and temporal side information. The framework is applied to Foursquare data and used to detect the dominant topics in the neighbourhoods of a city. In particular, we present the most prominent topics discussed by Foursquare users in New York, London, Chicago and San Francisco. We characterize the topics' spatial coverage and temporal evolution, and we also highlight some cultural idiosyncrasies. Finally, we evaluate the novel spatio-temporal topic model quantitatively. We believe that our model may be a useful tool for social scientists and application developers.
doi:10.1109/socialcom-passat.2012.107 dblp:conf/socialcom/BauerNSCM12 fatcat:dwu5yezr5bduhpnl7imptv5hni

Growth inhibition associated with disruption of the actin cytoskeleton by Latrunculin A in rhabdomyosarcoma cells

Julia Würtemberger, Daria Tchessalova, Carla Regina, Christoph Bauer, Michaela Schneider, Amy J. Wagers, Simone Hettmer, Sandro Pasquali
2020 PLoS ONE  
(TIF) Formal analysis: Carla Regina, Christoph Bauer, Michaela Schneider. Investigation: Julia Würtemberger, Daria Tchessalova, Amy J. Wagers, Simone Hettmer.  ... 
doi:10.1371/journal.pone.0238572 pmid:32898143 fatcat:3qyyek6ohbclfij5gvt3xjk4xa

Simulation and Experimental Investigation of the Stay Vane Channel Flow in a Reversible Pump Turbine at Off-Design Conditions

Sandro Erne, Gernot Edinger, Anton Maly, Christian Bauer
2017 Periodica Polytechnica: Mechanical Engineering  
This work presents the assessment of the mean flow field and low frequency disturbances in the stay vane channel of a model pump turbine using transient numerical simulations and LDV-based measurements. The focus is laid on transient CFD simulations of characteristic flow states in the stay vane channel when operating at off-design conditions in pump mode. Experimental and numerical investigations obtained a shifting velocity distribution between the shroud and hub of the distributor when
more » ... uously increasing the discharge in the part-load range. Simulations captured the occurrence of this changing flow state in the stay vane channel reasonably well. A further increase of the discharge showed a uniformly redistributed mean flow of both hub and shroud side. Monitoring points and integral quantities from measurements and transient simulations were used to interpret the development of transient flow patterns in the stay vane channel at the operating point of strongest asymmetrical flow. During simulation and measurement, a dominant rotating stall inception was observed near the design flow of the pump turbine. At this point where the stall becomes severe, a high level of correlation between the signals of the upper and lower stalled flow in the stay vane channel was calculated. Further simulations for different guide vane positions predicted a strong influence of the guide vane position on the structure of rotating stall.
doi:10.3311/ppme.9345 fatcat:65axvwpat5byzccl4bx6bsrk4i

Metabolic Adaptation Establishes Disease Tolerance to Sepsis

Sebastian Weis, Ana Rita Carlos, Maria Raquel Moita, Sumnima Singh, Birte Blankenhaus, Silvia Cardoso, Rasmus Larsen, Sofia Rebelo, Sascha Schäuble, Laura Del Barrio, Gilles Mithieux, Fabienne Rajas (+3 others)
2017 Cell  
doi:10.1016/j.cell.2017.05.031 pmid:28622511 pmcid:PMC5480394 fatcat:7w2yxv5xpnd3jd2xi5mpxghqbe

Comparison of Sepsis-Induced Transcriptomic Changes in a Murine Model to Clinical Blood Samples Identifies Common Response Patterns

Sandro Lambeck, Martina Weber, Falk A. Gonnert, Ralf Mrowka, Michael Bauer
2012 Frontiers in Microbiology  
AUTHOR CONTRIBUTIONS Sandro Lambeck performed the data analysis and provided access to computations to the reviewers, and drafted the manuscript.  ... 
doi:10.3389/fmicb.2012.00284 pmid:23024636 pmcid:PMC3442488 fatcat:5nsponalunbchieket7hqoyh3m

Efficacy of standardized training on a virtual reality simulator to advance knee and shoulder arthroscopic motor skills

Stefan Rahm, Karl Wieser, David E. Bauer, Felix WA Waibel, Dominik C. Meyer, Christian Gerber, Sandro F. Fucentese
2018 BMC Musculoskeletal Disorders  
BACKGROUND Most studies demonstrated, that training on a virtual reality based arthroscopy simulator leads to an improvement of technical skills in orthopaedic surgery. However, how long and what kind of training is optimal for young residents is unknown. In this study we tested the efficacy of a standardized, competency based training protocol on a validated virtual reality based knee-and shoulder arthroscopy simulator. METHODS Twenty residents and five experts in arthroscopy were included.
more » ... participants performed a test including knee -and shoulder arthroscopy tasks on a virtual reality knee-and shoulder arthroscopy simulator. The residents had to complete a competency based training program. Thereafter, the previously completed test was retaken. We evaluated the metric data of the simulator using a z-score and the Arthroscopic Surgery Skill Evaluation Tool (ASSET) to assess training effects in residents and performance levels in experts. RESULTS The residents significantly improved from preto post training in the overall z-score: -9.82 (range, -20.35 to -1.64) to -2.61 (range, -6.25 to 1.5); p < 0.001. The overall ASSET score improved from 55 (27 to 84) percent to 75 (48 to 92) percent; p < 0.001. The experts, however, achieved a significantly higher z-score in the shoulder tasks (p < 0.001 and a statistically insignificantly higher z-score in the knee tasks with a p = 0.921. The experts mean overall ASSET score (knee and shoulder) was significantly higher in the therapeutic tasks (p < 0.001) compared to the residents post training result. CONCLUSIONS The use of a competency based simulator training with this specific device for 3-5 h is an effective tool to advance basic arthroscopic skills of resident in training from 0 to 5 years based on simulator measures and simulator based ASSET testing. Therefore, we conclude that this sort of training method appears useful to learn the handling of the camera, basic anatomy and the triangulation with instruments. Abstract Background: Most studies demonstrated, that training on a virtual reality based arthroscopy simulator leads to an improvement of technical skills in orthopaedic surgery. However, how long and what kind of training is optimal for young residents is unknown. In this study we tested the efficacy of a standardized, competency based training protocol on a validated virtual reality based knee-and shoulder arthroscopy simulator. Methods: Twenty residents and five experts in arthroscopy were included. All participants performed a test including knee -and shoulder arthroscopy tasks on a virtual reality knee-and shoulder arthroscopy simulator. The residents had to complete a competency based training program. Thereafter, the previously completed test was retaken. We evaluated the metric data of the simulator using a z-score and the Arthroscopic Surgery Skill Evaluation Tool (ASSET) to assess training effects in residents and performance levels in experts. Results: The residents significantly improved from pre-to post training in the overall z-score: − 9.82 (range, − 20.35 to − 1.64) to − 2.61 (range, − 6.25 to 1.5); p < 0.001. The overall ASSET score improved from 55 (27 to 84) percent to 75 (48 to 92) percent; p < 0.001. The experts, however, achieved a significantly higher z-score in the shoulder tasks (p < 0.001 and a statistically insignificantly higher z-score in the knee tasks with a p = 0.921. The experts mean overall ASSET score (knee and shoulder) was significantly higher in the therapeutic tasks (p < 0.001) compared to the residents post training result. Conclusions: The use of a competency based simulator training with this specific device for 3-5 h is an effective tool to advance basic arthroscopic skills of resident in training from 0 to 5 years based on simulator measures and simulator based ASSET testing. Therefore, we conclude that this sort of training method appears useful to learn the handling of the camera, basic anatomy and the triangulation with instruments.
doi:10.1186/s12891-018-2072-0 pmid:29769058 pmcid:PMC5956558 fatcat:zaku3jjqsvgfxkpvj5b2kt2ezy

Joule-Class Ultrafast Thin-Disk Multipass Amplifier with Kilohertz Repetition Rate for Applications in Atmospheric Research

Clemens Herkommer, Peter Krötz, Robert Jung, Sandro Klingebiel, Christoph Wandt, Robert Bessing, Pierre Walch, Thomas Produit, Knut Michel, Dominik Bauer, Reinhard Kienberger, Thomas Metzger
2020 Optics Express  
We present an ultrafast thin-disk based multipass amplifier operating at a wavelength of 1030 nm, designed for atmospheric research in the framework of the Laser Lightning Rod project. The CPA system delivers a pulse energy of 720 mJ and a pulse duration of 920 fs at a repetition rate of 1 kHz. The 240 mJ seed pulses generated by a regenerative amplifier are amplified to the final energy in a multipass amplifier via four industrial thin-disk laser heads. The beam quality factor remains ∼ 2.1 at
more » ... the output. First results on horizontal long-range filament generation are presented.
doi:10.1364/oe.404185 pmid:33114900 fatcat:hcrb4rmlmbgidm44cmwzfv6kvq
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