TY - JOUR AU - Ohto, Tatsuhiko AU - Dodia, Mayank AU - Xu, Jianhang AU - Imoto, Sho AU - Tang, Fujie AU - Zysk, Frederik AU - Kühne, Thomas D. AU - Shigeta, Yasuteru AU - Bonn, Mischa AU - Wu, Xifan AU - Nagata, Yuki ID - 15738 JF - The Journal of Physical Chemistry Letters SN - 1948-7185 TI - Accessing the Accuracy of Density Functional Theory through Structure and Dynamics of the Water–Air Interface VL - 10 ER - TY - JOUR AU - Azadi, Sam AU - Kühne, Thomas D. ID - 15739 JF - Physical Review B SN - 2469-9950 TI - Unconventional phase III of high-pressure solid hydrogen VL - 100 ER - TY - JOUR AU - Guc, Maxim AU - Kodalle, Tim AU - Kormath Madam Raghupathy, Ramya AU - Mirhosseini, Hossein AU - Kühne, Thomas D. AU - Becerril-Romero, Ignacio AU - Pérez-Rodríguez, Alejandro AU - Kaufmann, Christian A. AU - Izquierdo-Roca, Victor ID - 15740 JF - The Journal of Physical Chemistry C SN - 1932-7447 TI - Vibrational Properties of RbInSe2: Raman Scattering Spectroscopy and First-Principle Calculations VL - 124 ER - TY - JOUR AB - In many cyber–physical systems, we encounter the problem of remote state estimation of geo- graphically distributed and remote physical processes. This paper studies the scheduling of sensor transmissions to estimate the states of multiple remote, dynamic processes. Information from the different sensors has to be transmitted to a central gateway over a wireless network for monitoring purposes, where typically fewer wireless channels are available than there are processes to be monitored. For effective estimation at the gateway, the sensors need to be scheduled appropriately, i.e., at each time instant one needs to decide which sensors have network access and which ones do not. To address this scheduling problem, we formulate an associated Markov decision process (MDP). This MDP is then solved using a Deep Q-Network, a recent deep reinforcement learning algorithm that is at once scalable and model-free. We compare our scheduling algorithm to popular scheduling algorithms such as round-robin and reduced-waiting-time, among others. Our algorithm is shown to significantly outperform these algorithms for many example scenario AU - Leong, Alex S. AU - Ramaswamy, Arunselvan AU - Quevedo, Daniel E. AU - Karl, Holger AU - Shi, Ling ID - 15741 JF - Automatica SN - 0005-1098 TI - Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems ER - TY - GEN AU - Otte, Oliver ID - 15746 TI - Outsourced Decryption of Attribute-based Ciphertexts ER - TY - GEN AU - Wördenweber, Nico Christof ID - 15747 TI - On the Security of the Rouselakis-Waters Ciphertext-Policy Attribute-Based Encryption Scheme in the Random Oracle Model ER - TY - CONF AB - Connectionist temporal classification (CTC) is a sequence-level loss that has been successfully applied to train recurrent neural network (RNN) models for automatic speech recognition. However, one major weakness of CTC is the conditional independence assumption that makes it difficult for the model to learn label dependencies. In this paper, we propose stimulated CTC, which uses stimulated learning to help CTC models learn label dependencies implicitly by using an auxiliary RNN to generate the appropriate stimuli. This stimuli comes in the form of an additional stimulation loss term which encourages the model to learn said label dependencies. The auxiliary network is only used during training and the inference model has the same structure as a standard CTC model. The proposed stimulated CTC model achieves about 35% relative character error rate improvements on a synthetic gesture keyboard recognition task and over 30% relative word error rate improvements on the Librispeech automatic speech recognition tasks over a baseline model trained with CTC only. AU - Heymann, Jahn AU - Khe Chai Sim, Bo Li ID - 15812 T2 - ICASSP 2019, Brighton, UK TI - Improving CTC Using Stimulated Learning for Sequence Modeling ER - TY - CONF AB - Despite the strong modeling power of neural network acoustic models, speech enhancement has been shown to deliver additional word error rate improvements if multi-channel data is available. However, there has been a longstanding debate whether enhancement should also be carried out on the ASR training data. In an extensive experimental evaluation on the acoustically very challenging CHiME-5 dinner party data we show that: (i) cleaning up the training data can lead to substantial error rate reductions, and (ii) enhancement in training is advisable as long as enhancement in test is at least as strong as in training. This approach stands in contrast and delivers larger gains than the common strategy reported in the literature to augment the training database with additional artificially degraded speech. Together with an acoustic model topology consisting of initial CNN layers followed by factorized TDNN layers we achieve with 41.6% and 43.2% WER on the DEV and EVAL test sets, respectively, a new single-system state-of-the-art result on the CHiME-5 data. This is a 8% relative improvement compared to the best word error rate published so far for a speech recognizer without system combination. AU - Zorila, Catalin AU - Boeddeker, Christoph AU - Doddipatla, Rama AU - Haeb-Umbach, Reinhold ID - 15816 T2 - ASRU 2019, Sentosa, Singapore TI - An Investigation Into the Effectiveness of Enhancement in ASR Training and Test for Chime-5 Dinner Party Transcription ER - TY - GEN AU - Leutnant, Matthias ID - 15819 TI - Experimentelle Untersuchung des SEM-Algorithmus ER - TY - CONF AB - In the field of software analysis a trade-off between scalability and accuracy always exists. In this respect, Android app analysis is no exception, in particular, analyzing large or many apps can be challenging. Dealing with many small apps is a typical challenge when facing micro-benchmarks such as DROIDBENCH or ICC-BENCH. These particular benchmarks are not only used for the evaluation of novel tools but also in continuous integration pipelines of existing mature tools to maintain and guarantee a certain quality-level. Considering this latter usage it becomes very important to be able to achieve benchmark results as fast as possible. Hence, benchmarks have to be optimized for this purpose. One approach to do so is app merging. We implemented the Android Merge Tool (AMT) following this approach and show that its novel aspects can be used to produce scaled up and accurate benchmarks. For such benchmarks Android app analysis tools do not suffer from the scalability-accuracy trade-off anymore. We show this throughout detailed experiments on DROIDBENCH employing three different analysis tools (AMANDROID, ICCTA, FLOWDROID). Benchmark execution times are largely reduced without losing benchmark accuracy. Moreover, we argue why AMT is an advantageous successor of the state-of-the-art app merging tool (APKCOMBINER) in analysis lift-up scenarios. AU - Pauck, Felix AU - Zhang, Shikun ID - 15838 KW - Program Analysis KW - Android App Analysis KW - Taint Analysis KW - App Merging KW - Benchmark SN - 9781728141367 T2 - 2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW) TI - Android App Merging for Benchmark Speed-Up and Analysis Lift-Up ER - TY - JOUR AU - Camberg, Alan Adam AU - Tröster, Thomas AU - Bohner, F. AU - Tölle, J. ID - 15875 JF - IOP Conference Series: Materials Science and Engineering SN - 1757-899X TI - Predicting plasticity and fracture of severe pre-strained EN AW-5182 by Yld2000 yield locus and Hosford-Coulomb fracture model in sheet forming applications VL - 651 ER - TY - GEN AU - Kumar Jeyakumar, Shankar ID - 15883 TI - Incremental learning with Support Vector Machine on embedded platforms ER - TY - CONF AU - Müller, Jens AU - Brinkmann, Marcus AU - Poddebniak, Damian AU - Böck, Hanno AU - Schinzel, Sebastian AU - Somorovsky, Juraj AU - Schwenk, Jörg ID - 15908 SN - 978-1-939133-06-9 T2 - 28th {USENIX} Security Symposium ({USENIX} Security 19) TI - "Johnny, you are fired!" -- Spoofing OpenPGP and S/MIME Signatures in Emails ER - TY - CONF AU - Merget, Robert AU - Somorovsky, Juraj AU - Aviram, Nimrod AU - Young, Craig AU - Fliegenschmidt, Janis AU - Schwenk, Jörg AU - Shavitt, Yuval ID - 15909 SN - 978-1-939133-06-9 T2 - 28th {USENIX} Security Symposium ({USENIX} Security 19) TI - Scalable Scanning and Automatic Classification of TLS Padding Oracle Vulnerabilities ER - TY - CONF AU - Engelbertz, Nils AU - Mladenov, Vladislav AU - Somorovsky, Juraj AU - Herring, David AU - Erinola, Nurullah AU - Schwenk, Jörg ED - Roßnagel, Heiko ED - Wagner, Sven ED - Hühnlein, Detlef ID - 15910 T2 - Open Identity Summit 2019 TI - Security Analysis of XAdES Validation in the CEF Digital Signature Services (DSS) ER - TY - GEN AB - Secure hardware design is the most important aspect to be considered in addition to functional correctness. Achieving hardware security in today’s globalized Integrated Cir- cuit(IC) supply chain is a challenging task. One solution that is widely considered to help achieve secure hardware designs is Information Flow Tracking(IFT). It provides an ap- proach to verify that the systems adhere to security properties either by static verification during design phase or dynamic checking during runtime. Proof-Carrying Hardware(PCH) is an approach to verify a functional design prior to using it in hardware. It is a two-party verification approach, where the target party, the consumer requests new functionalities with pre-defined properties to the producer. In response, the producer designs the IP (Intellectual Property) cores with the requested functionalities that adhere to the consumer-defined properties. The producer provides the IP cores and a proof certificate combined into a proof-carrying bitstream to the consumer to verify it. If the verification is successful, the consumer can use the IP cores in his hardware. In essence, the consumer can only run verified IP cores. Correctly applied, PCH techniques can help consumers to defend against many unintentional modifications and malicious alterations of the modules they receive. There are numerous published examples of how to use PCH to detect any change in the functionality of a circuit, i.e., pairing a PCH approach with functional equivalence checking for combinational or sequential circuits. For non-functional properties, since opening new covert channels to leak secret information from secure circuits is a viable attack vector for hardware trojans, i.e., intentionally added malicious circuitry, IFT technique is employed to make sure that secret/untrusted information never reaches any unclassified/trusted outputs. This master thesis aims to explore the possibility of adapting Information Flow Tracking into a Proof-Carrying Hardware scenario. It aims to create a method that combines Infor- mation Flow Tracking(IFT) with a PCH approach at bitstream level enabling consumers to validate the trustworthiness of a module’s information flow without the computational costs of a complete flow analysis. AU - Keerthipati, Monica ID - 15920 TI - A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking ER - TY - CONF AB - Ranking plays a central role in a large number of applications driven by RDF knowledge graphs. Over the last years, many popular RDF knowledge graphs have grown so large that rankings for the facts they contain cannot be computed directly using the currently common 64-bit platforms. In this paper, we tackle two problems: Computing ranks on such large knowledge bases efficiently and incrementally. First, we present D-HARE, a distributed approach for computing ranks on very large knowledge graphs. D-HARE assumes the random surfer model and relies on data partitioning to compute matrix multiplications and transpositions on disk for matrices of arbitrary size. Moreover, the data partitioning underlying D-HARE allows the execution of most of its steps in parallel. As very large knowledge graphs are often updated periodically, we tackle the incremental computation of ranks on large knowledge bases as a second problem. We address this problem by presenting I-HARE, an approximation technique for calculating the overall ranking scores of a knowledge without the need to recalculate the ranking from scratch at each new revision. We evaluate our approaches by calculating ranks on the 3 × 10^9 and 2.4 × 10^9 triples from Wikidata resp. LinkedGeoData. Our evaluation demonstrates that D-HARE is the first holistic approach for computing ranks on very large RDF knowledge graphs. In addition, our incremental approach achieves a root mean squared error of less than 10E−7 in the best case. Both D-HARE and I-HARE are open-source and are available at: https://github.com/dice-group/incrementalHARE. AU - Desouki, Abdelmoneim Amer AU - Röder, Michael AU - Ngonga Ngomo, Axel-Cyrille ID - 15921 KW - Knowledge Graphs KW - Ranking KW - RDF SN - 9781450368858 T2 - Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT '19 TI - Ranking on Very Large Knowledge Graphs ER - TY - CONF AU - Heindorf, Stefan AU - Scholten, Yan AU - Engels, Gregor AU - Potthast, Martin ID - 14568 T2 - INFORMATIK TI - Debiasing Vandalism Detection Models at Wikidata (Extended Abstract) ER - TY - JOUR AU - Sommer, Christoph AU - Basagni, Stefano ID - 14817 JF - Ad Hoc Networks SN - 1570-8705 TI - Advances and novel applications of mobile wireless networking ER - TY - CONF AU - Heinovski, Julian AU - Stratmann, Lukas AU - Buse, Dominik S. AU - Klingler, Florian AU - Franke, Mario AU - Oczko, Marie-Christin H. AU - Sommer, Christoph AU - Scharlau, Ingrid AU - Dressler, Falko ID - 14819 SN - 9781728102702 T2 - 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) TI - Modeling Cycling Behavior to Improve Bicyclists' Safety at Intersections - A Networking Perspective ER - TY - JOUR AU - Seipelt, Agnes Regina ID - 14821 JF - Weberiana KW - Weber KW - Wien KW - Zensur SN - 978-3-96233-182-5 TI - Aufführungs- und zensurbedingte Veränderungen im Wiener Manuskript der Freischütz-Erstaufführung 1821 in Wien VL - 29 ER - TY - CONF AB - Multi-talker speech and moving speakers still pose a significant challenge to automatic speech recognition systems. Assuming an enrollment utterance of the target speakeris available, the so-called SpeakerBeam concept has been recently proposed to extract the target speaker from a speech mixture. If multi-channel input is available, spatial properties of the speaker can be exploited to support the source extraction. In this contribution we investigate different approaches to exploit such spatial information. In particular, we are interested in the question, how useful this information is if the target speaker changes his/her position. To this end, we present a SpeakerBeam-based source extraction network that is adapted to work on moving speakers by recursively updating the beamformer coefficients. Experimental results are presented on two data sets, one with articially created room impulse responses, and one with real room impulse responses and noise recorded in a conference room. Interestingly, spatial features turn out to be advantageous even if the speaker position changes. AU - Heitkaemper, Jens AU - Feher, Thomas AU - Freitag, Michael AU - Haeb-Umbach, Reinhold ID - 14822 T2 - International Conference on Statistical Language and Speech Processing 2019, Ljubljana, Slovenia TI - A Study on Online Source Extraction in the Presence of Changing Speaker Positions ER - TY - CONF AB - This paper deals with multi-channel speech recognition in scenarios with multiple speakers. Recently, the spectral characteristics of a target speaker, extracted from an adaptation utterance, have been used to guide a neural network mask estimator to focus on that speaker. In this work we present two variants of speakeraware neural networks, which exploit both spectral and spatial information to allow better discrimination between target and interfering speakers. Thus, we introduce either a spatial preprocessing prior to the mask estimation or a spatial plus spectral speaker characterization block whose output is directly fed into the neural mask estimator. The target speaker’s spectral and spatial signature is extracted from an adaptation utterance recorded at the beginning of a session. We further adapt the architecture for low-latency processing by means of block-online beamforming that recursively updates the signal statistics. Experimental results show that the additional spatial information clearly improves source extraction, in particular in the same-gender case, and that our proposal achieves state-of-the-art performance in terms of distortion reduction and recognition accuracy. AU - Martin-Donas, Juan M. AU - Heitkaemper, Jens AU - Haeb-Umbach, Reinhold AU - Gomez, Angel M. AU - Peinado, Antonio M. ID - 14824 T2 - INTERSPEECH 2019, Graz, Austria TI - Multi-Channel Block-Online Source Extraction based on Utterance Adaptation ER - TY - CONF AB - In this paper, we present Hitachi and Paderborn University’s joint effort for automatic speech recognition (ASR) in a dinner party scenario. The main challenges of ASR systems for dinner party recordings obtained by multiple microphone arrays are (1) heavy speech overlaps, (2) severe noise and reverberation, (3) very natural onversational content, and possibly (4) insufficient training data. As an example of a dinner party scenario, we have chosen the data presented during the CHiME-5 speech recognition challenge, where the baseline ASR had a 73.3% word error rate (WER), and even the best performing system at the CHiME-5 challenge had a 46.1% WER. We extensively investigated a combination of the guided source separation-based speech enhancement technique and an already proposed strong ASR backend and found that a tight combination of these techniques provided substantial accuracy improvements. Our final system achieved WERs of 39.94% and 41.64% for the development and evaluation data, respectively, both of which are the best published results for the dataset. We also investigated with additional training data on the official small data in the CHiME-5 corpus to assess the intrinsic difficulty of this ASR task. AU - Kanda, Naoyuki AU - Boeddeker, Christoph AU - Heitkaemper, Jens AU - Fujita, Yusuke AU - Horiguchi, Shota AU - Haeb-Umbach, Reinhold ID - 14826 T2 - INTERSPEECH 2019, Graz, Austria TI - Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR ER - TY - CHAP AU - Seipelt, Agnes Regina AU - Klugseder, Robert ED - Aringer, Klaus ED - Utz, Christian ED - Wozonig, Thomas ID - 14828 SN - 978-3-99012-553-3 T2 - Musik im Zusammenhang: Festschrift Peter Revers zum 65. Geburtstag TI - Digitale Musikanalyse auf Grundlage von MEI-codierten Daten ER - TY - GEN ED - Scheideler, Christian ED - Berenbrink, Petra ID - 14829 SN - 978-1-4503-6184-2 TI - The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019 ER - TY - JOUR AU - Gmyr, Robert AU - Lefevre, Jonas AU - Scheideler, Christian ID - 14830 IS - 2 JF - Theory Comput. Syst. TI - Self-Stabilizing Metric Graphs VL - 63 ER - TY - GEN AU - Sabu, Nithin S. ID - 14831 TI - FPGA Acceleration of String Search Techniques in Huge Data Sets ER - TY - THES AU - Vaz, Gavin Francis ID - 14849 TI - Using Just-in-Time Code Generation to Transparently Accelerate Applications in Heterogeneous Systems ER - TY - THES AU - Mäcker, Alexander ID - 14851 TI - On Scheduling with Setup Times ER - TY - CONF AB - In a variety of industrial applications, liquids are atomized to produce aerosols for further processing. Example applications are the coating of surfaces with paints, the application of ultra-thin adhesive layers and the atomization of fuels for the production of combustible dispersions. In this publication different atomizing principles (standing-wave, capillary-wave, vibrating-mesh) are examined and discussed. Using an optimized standing-wave system, tough liquids with viscosities of up to about 100 Pas could be successfully atomized. AU - Dunst, Paul AU - Bornmann, Peter AU - Hemsel, Tobias AU - Littmann, Walter AU - Sextro, Walter ED - Lötters, Joost ED - Urban, Gerald ID - 14852 KW - atomization KW - ultrasound KW - standing-wave KW - capillarywave KW - vibrating-mesh T2 - Conference Proceedings - The 4th Conference on MicroFluidic Handling Systems (MFHS2019) TI - Atomization of Fluids with Ultrasound ER - TY - JOUR AU - Wei, Qunshuo AU - Sain, Basudeb AU - Wang, Yongtian AU - Reineke, Bernhard AU - Li, Xiaowei AU - Huang, Lingling AU - Zentgraf, Thomas ID - 14870 IS - 12 JF - Nano Letters SN - 1530-6984 TI - Simultaneous Spectral and Spatial Modulation for Color Printing and Holography Using All-dielectric Metasurfaces VL - 19 ER - TY - CHAP AU - Kuhlemann, Stefan AU - Sellmann, Meinolf AU - Tierney, Kevin ID - 14890 SN - 0302-9743 T2 - Lecture Notes in Computer Science TI - Exploiting Counterfactuals for Scalable Stochastic Optimization ER - TY - JOUR AU - Dann, Andreas AU - Hermann, Ben AU - Bodden, Eric ID - 14896 JF - IEEE Transactions on Software Engineering SN - 0098-5589 TI - ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules ER - TY - CONF AU - Dann, Andreas AU - Hermann, Ben AU - Bodden, Eric ID - 14897 SN - 9781450367202 T2 - Proceedings of the 8th ACM SIGPLAN International Workshop on State Of the Art in Program Analysis - SOAP 2019 TI - SootDiff: bytecode comparison across different Java compilers ER - TY - CONF AU - Kruger, Stefan AU - Hermann, Ben ID - 14899 SN - 9781728122458 T2 - 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE) TI - Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts ER - TY - GEN AU - Mair, Christina AU - Scheffler, Wolfram AU - Senger, Isabell AU - Sureth-Sloane, Caren ID - 14902 TI - Analyse der Veränderung der zwischenstaatlichen Gewinnaufteilung bei Einführung einer standardisierten Gewinnverteilungsmethode am Beispiel des Einsatzes von 3D-Druckern VL - 42 ER - TY - JOUR AB - Die Komplexität von Steuersystemen gewinnt in der Debatte um den internationalen Steuerwettbewerb zunehmend an Bedeutung. Im vorliegenden Beitrag erfolgt, basierend auf den Befragungsdaten, die dem Tax Complexity Index von Hoppe et al. (2019) zugrunde liegen, eine umfassende Gegenüberstellung der Komplexität der Steuersysteme von Deutschland und Österreich unter Berücksichtigung der Mittelwerte aller vom Index abgedeckten Länder. Die Steuergesetze weisen sowohl in Deutschland als auch in Österreich einen verhältnismäßig hohen Grad an Komplexität auf. Bei den steuerlichen Rahmenbedingungen fällt der Grad an Komplexität in beiden Ländern dagegen niedrig aus, wobei Österreich im Durchschnitt weniger komplex ist als Deutschland. AU - Hoppe, Thomas AU - Rechbauer, Martina AU - Sturm, Susann ID - 14904 IS - 4 JF - Steuer und Wirtschaft TI - Steuerkomplexität im Vergleich zwischen Deutschland und Österreich - Eine Analyse des Status quo VL - 96 ER - TY - JOUR AB - A key premise underlying most of the economic literature is that rational decision-makers will choose dominant strategies over dominated alternatives. However, prior literature in various disciplines including business, psychology, and economics document a series of phenomena associated with violations of the dominance principle in decision-making. In this comprehensive review, we discuss conditions under which people violate the dominance principle in decision-making. When presenting violations of dominance in empirical and experimental studies, we differentiate between absolute, statewise, and stochastic (first- and second-order) violations of dominance. Furthermore, we categorize the literature by the leading causes for dominance violations: framing, reference points, certainty effects, bounded rationality, and emotional responses. AU - Kourouxous, Thomas AU - Bauer, Thomas ID - 14905 IS - 1 JF - Business Research SN - 2198-3402 TI - Violations of Dominance in Decision-Making VL - 12 ER - TY - GEN AB - This paper introduces an index that captures the complexity of countries’ corporate income tax systems faced by multinational corporations. It is based on surveys of highly experienced tax consultants of the largest international tax services networks. The index, called the Tax Complexity Index (TCI), is composed of a tax code subindex covering tax regulations and a tax framework subindex covering tax processes and features. For a sample of 100 countries for the year 2016, we find that the level of tax complexity varies considerably across countries, while tax code and framework complexity also vary within countries. From a global perspective, tax complexity is strongly driven by the complexity of both transfer pricing regulations in the tax code and tax audits in the tax framework. When analyzing the associations with other country characteristics, we identify different correlation patterns. For example, tax framework complexity is negatively associated with countries’ governance, suggesting that strongly governed countries tend to have less complex tax frameworks, while tax code complexity is positively associated with the statutory tax rate, indicating that high tax countries tend to have more complex tax codes. However, none of the observed associations are very strong. We conclude that tax complexity represents a distinct country characteristic and propose the use of our TCI and its subindices in future research. AU - Hoppe, Thomas AU - Schanz, Deborah AU - Sturm, Susann AU - Sureth-Sloane, Caren ID - 14909 KW - Tax Complexity KW - Tax Index KW - Tax System KW - Multinational Corporations KW - Tax Consultants TI - Measuring Tax Complexity Across Countries: A Survey Study on MNCs ER - TY - JOUR AU - Majdanska, Alicja AU - Wu, Yuchen ID - 14910 IS - 10 JF - Tax Notes International TI - Using Impact Evaluation to Examine Domestic and International Cooperative Compliance Programs VL - 93 ER - TY - JOUR AB - We investigate optical microresonators consisting of either one or two coupled rectangular strips between upper and lower slab waveguides. The cavities are evanescently excited under oblique angles by thin-film guided, in-plane unguided waves supported by one of the slab waveguides. Beyond a specific incidence angle, losses are fully suppressed. The interaction between the guided mode of the cavity-strip and the incoming slab modes leads to resonant behavior for specific incidence angles and gaps. For a single cavity, at resonance, the input power is equally split among each of the four output ports, while for two cavities an add-drop filter can be realized that, at resonance, routes the incoming power completely to the forward drop waveguide via the cavity. For both applications, the strength of the interaction is controlled by the gaps between cavities and waveguides. AU - Ebers, Lena AU - Hammer, Manfred AU - Berkemeier, Manuel B. AU - Menzel, Alexander AU - Förstner, Jens ID - 14990 JF - OSA Continuum KW - tet_topic_waveguides SN - 2578-7519 TI - Coupled microstrip-cavities under oblique incidence of semi-guided waves: a lossless integrated optical add-drop filter VL - 2 ER - TY - JOUR AU - Couso, Ines AU - Borgelt, Christian AU - Hüllermeier, Eyke AU - Kruse, Rudolf ID - 15001 JF - IEEE Computational Intelligence Magazine SN - 1556-603X TI - Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning ER - TY - JOUR AB - Many problem settings in machine learning are concerned with the simultaneous prediction of multiple target variables of diverse type. Amongst others, such problem settings arise in multivariate regression, multi-label classification, multi-task learning, dyadic prediction, zero-shot learning, network inference, and matrix completion. These subfields of machine learning are typically studied in isolation, without highlighting or exploring important relationships. In this paper, we present a unifying view on what we call multi-target prediction (MTP) problems and methods. First, we formally discuss commonalities and differences between existing MTP problems. To this end, we introduce a general framework that covers the above subfields as special cases. As a second contribution, we provide a structured overview of MTP methods. This is accomplished by identifying a number of key properties, which distinguish such methods and determine their suitability for different types of problems. Finally, we also discuss a few challenges for future research. AU - Waegeman, Willem AU - Dembczynski, Krzysztof AU - Hüllermeier, Eyke ID - 15002 IS - 2 JF - Data Mining and Knowledge Discovery SN - 1573-756X TI - Multi-target prediction: a unifying view on problems and methods VL - 33 ER - TY - CONF AU - Mortier, Thomas AU - Wydmuch, Marek AU - Dembczynski, Krzysztof AU - Hüllermeier, Eyke AU - Waegeman, Willem ID - 15003 T2 - Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8, 2019 TI - Set-Valued Prediction in Multi-Class Classification ER - TY - CHAP AU - Ahmadi Fahandar, Mohsen AU - Hüllermeier, Eyke ID - 15004 SN - 0302-9743 T2 - Discovery Science TI - Feature Selection for Analogy-Based Learning to Rank ER - TY - CHAP AU - Ahmadi Fahandar, Mohsen AU - Hüllermeier, Eyke ID - 15005 SN - 0302-9743 T2 - KI 2019: Advances in Artificial Intelligence TI - Analogy-Based Preference Learning with Kernels ER - TY - CHAP AU - Nguyen, Vu-Linh AU - Destercke, Sébastien AU - Hüllermeier, Eyke ID - 15006 SN - 0302-9743 T2 - Discovery Science TI - Epistemic Uncertainty Sampling ER - TY - CONF AU - Melnikov, Vitaly AU - Hüllermeier, Eyke ID - 15007 T2 - Proceedings ACML, Asian Conference on Machine Learning (Proceedings of Machine Learning Research, 101) TI - Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA ER - TY - CONF AU - Epple, Nico AU - Dari, Simone AU - Drees, Ludwig AU - Protschky, Valentin AU - Riener, Andreas ID - 15009 SN - 9781728105604 T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) TI - Influence of Cruise Control on Driver Guidance - a Comparison between System Generations and Countries ER -