TY - JOUR
A1 - Alnoor, Alhamzah
A1 - Tiberius, Victor
A1 - Atiyah, Abbas Gatea
A1 - Khaw, Khai Wah
A1 - Yin, Teh Sin
A1 - Chew, XinYing
A1 - Abbas, Sammar
T1 - How positive and negative electronic word of mouth (eWOM) affects customers’ intention to use social commerce?
BT - a dual-stage multi group-SEM and ANN analysis
JF - International journal of human computer interaction
N2 - Advances in Web 2.0 technologies have led to the widespread assimilation of electronic commerce platforms as an innovative shopping method and an alternative to traditional shopping. However, due to pro-technology bias, scholars focus more on adopting technology, and slightly less attention has been given to the impact of electronic word of mouth (eWOM) on customers’ intention to use social commerce. This study addresses the gap by examining the intention through exploring the effect of eWOM on males’ and females’ intentions and identifying the mediation of perceived crowding. To this end, we adopted a dual-stage multi-group structural equation modeling and artificial neural network (SEM-ANN) approach. We successfully extended the eWOM concept by integrating negative and positive factors and perceived crowding. The results reveal the causal and non-compensatory relationships between the constructs. The variables supported by the SEM analysis are adopted as the ANN model’s input neurons. According to the natural significance obtained from the ANN approach, males’ intentions to accept social commerce are related mainly to helping the company, followed by core functionalities. In contrast, females are highly influenced by technical aspects and mishandling. The ANN model predicts customers’ intentions to use social commerce with an accuracy of 97%. We discuss the theoretical and practical implications of increasing customers’ intention toward social commerce channels among consumers based on our findings.
Y1 - 2022
U6 - https://doi.org/10.1080/10447318.2022.2125610
SN - 1044-7318
SN - 1532-7590
SP - 1
EP - 30
PB - Taylor & Francis
CY - New York
ER -
TY - JOUR
A1 - Bender, Benedict
A1 - Körppen, Tim
T1 - Integriert statt isoliert
BT - Technologien für die erfolgreiche Umsetzung von datengetriebenem Management
JF - Digital business : cloud
N2 - Dass Daten und Analysen Innovationstreiber sind und nicht mehr nur einen Hygienefaktor darstellen, haben viele Unternehmen erkannt. Um Potenziale zu heben, müssen Daten zielführend integriert werden. Komplexe Systemlandschaften und isolierte Datenbestände erschweren dies. Technologien für die erfolgreiche Umsetzung von datengetriebenem Management müssen richtig eingesetzt werden.
N2 - The fact that data and analyses are innovation drivers and no longer just represent a hygiene factor is nowadays understood by many companies. An important step for the development of this hidden potential is the target-oriented utilization of the existing data stocks in one's own company. In doing so, many companies face the hurdle of complex system landscapes and isolated data stocks. This article provides an overview of solutions for analysis-oriented data integration and helps decision-makers to select a suitable technology for their own company.
KW - data analytics
KW - data requirements
KW - software selection
Y1 - 2022
UR - https://www.wiso-net.de/document/DBC__584ddfcbfbc5ff400cb2ffb0f31eba6e6903fb3d
SN - 2510-344X
VL - 26
IS - 1
SP - 26
EP - 27
PB - WIN-Verlag GmbH & Co. KG
CY - Vaterstetten
ER -
TY - JOUR
A1 - Benlian, Alexander
A1 - Wiener, Martin
A1 - Cram, W. Alec
A1 - Krasnova, Hanna
A1 - Maedche, Alexander
A1 - Mohlmann, Mareike
A1 - Recker, Jan
A1 - Remus, Ulrich
T1 - Algorithmic management
BT - bright and dark sides, practical implications, and research opportunities
JF - Business and information systems engineering
Y1 - 2022
U6 - https://doi.org/10.1007/s12599-022-00764-w
SN - 2363-7005
SN - 1867-0202
VL - 64
IS - 6
SP - 825
EP - 839
PB - Springer Gabler
CY - Wiesbaden
ER -
TY - JOUR
A1 - Bläsius, Thomas
A1 - Friedrich, Tobias
A1 - Lischeid, Julius
A1 - Meeks, Kitty
A1 - Schirneck, Friedrich Martin
T1 - Efficiently enumerating hitting sets of hypergraphs arising in data profiling
JF - Journal of computer and system sciences : JCSS
N2 - The transversal hypergraph problem asks to enumerate the minimal hitting sets of a hypergraph. If the solutions have bounded size, Eiter and Gottlob [SICOMP'95] gave an algorithm running in output-polynomial time, but whose space requirement also scales with the output. We improve this to polynomial delay and space. Central to our approach is the extension problem, deciding for a set X of vertices whether it is contained in any minimal hitting set. We show that this is one of the first natural problems to be W[3]-complete. We give an algorithm for the extension problem running in time O(m(vertical bar X vertical bar+1) n) and prove a SETH-lower bound showing that this is close to optimal. We apply our enumeration method to the discovery problem of minimal unique column combinations from data profiling. Our empirical evaluation suggests that the algorithm outperforms its worst-case guarantees on hypergraphs stemming from real-world databases.
KW - Data profiling
KW - Enumeration algorithm
KW - Minimal hitting set
KW - Transversal hypergraph
KW - Unique column combination
KW - W[3]-Completeness
Y1 - 2022
U6 - https://doi.org/10.1016/j.jcss.2021.10.002
SN - 0022-0000
SN - 1090-2724
VL - 124
SP - 192
EP - 213
PB - Elsevier
CY - San Diego
ER -
TY - JOUR
A1 - Bonifati, Angela
A1 - Mior, Michael J.
A1 - Naumann, Felix
A1 - Noack, Nele Sina
T1 - How inclusive are we?
BT - an analysis of gender diversity in database venues
JF - SIGMOD record / Association for Computing Machinery, Special Interest Group on Management of Data
N2 - ACM SIGMOD, VLDB and other database organizations have committed to fostering an inclusive and diverse community, as do many other scientific organizations. Recently, different measures have been taken to advance these goals, especially for underrepresented groups. One possible measure is double-blind reviewing, which aims to hide gender, ethnicity, and other properties of the authors.
We report the preliminary results of a gender diversity analysis of publications of the database community across several peer-reviewed venues, and also compare women's authorship percentages in both single-blind and double-blind venues along the years. We also obtained a cross comparison of the obtained results in data management with other relevant areas in Computer Science.
Y1 - 2022
U6 - https://doi.org/10.1145/3516431.3516438
SN - 0163-5808
SN - 1943-5835
VL - 50
IS - 4
SP - 30
EP - 35
PB - Association for Computing Machinery
CY - New York
ER -
TY - JOUR
A1 - Chen, Junchao
A1 - Lange, Thomas
A1 - Andjelkovic, Marko
A1 - Simevski, Aleksandar
A1 - Lu, Li
A1 - Krstić, Miloš
T1 - Solar particle event and single event upset prediction from SRAM-based monitor and supervised machine learning
JF - IEEE transactions on emerging topics in computing / IEEE Computer Society, Institute of Electrical and Electronics Engineers
N2 - The intensity of cosmic radiation may differ over five orders of magnitude within a few hours or days during the Solar Particle Events (SPEs), thus increasing for several orders of magnitude the probability of Single Event Upsets (SEUs) in space-borne electronic systems. Therefore, it is vital to enable the early detection of the SEU rate changes in order to ensure timely activation of dynamic radiation hardening measures. In this paper, an embedded approach for the prediction of SPEs and SRAM SEU rate is presented. The proposed solution combines the real-time SRAM-based SEU monitor, the offline-trained machine learning model and online learning algorithm for the prediction. With respect to the state-of-the-art, our solution brings the following benefits: (1) Use of existing on-chip data storage SRAM as a particle detector, thus minimizing the hardware and power overhead, (2) Prediction of SRAM SEU rate one hour in advance, with the fine-grained hourly tracking of SEU variations during SPEs as well as under normal conditions, (3) Online optimization of the prediction model for enhancing the prediction accuracy during run-time, (4) Negligible cost of hardware accelerator design for the implementation of selected machine learning model and online learning algorithm. The proposed design is intended for a highly dependable and self-adaptive multiprocessing system employed in space applications, allowing to trigger the radiation mitigation mechanisms before the onset of high radiation levels.
KW - Machine learning
KW - Single event upsets
KW - Random access memory
KW - monitoring
KW - machine learning algorithms
KW - predictive models
KW - space missions
KW - solar particle event
KW - single event upset
KW - machine learning
KW - online learning
KW - hardware accelerator
KW - reliability
KW - self-adaptive multiprocessing system
Y1 - 2022
U6 - https://doi.org/10.1109/TETC.2022.3147376
SN - 2168-6750
VL - 10
IS - 2
SP - 564
EP - 580
PB - Institute of Electrical and Electronics Engineers
CY - [New York, NY]
ER -
TY - JOUR
A1 - Ihde, Sven
A1 - Pufahl, Luise
A1 - Völker, Maximilian
A1 - Goel, Asvin
A1 - Weske, Mathias
T1 - A framework for modeling and executing task
BT - specific resource allocations in business processes
JF - Computing : archives for informatics and numerical computation
N2 - As resources are valuable assets, organizations have to decide which resources to allocate to business process tasks in a way that the process is executed not only effectively but also efficiently. Traditional role-based resource allocation leads to effective process executions, since each task is performed by a resource that has the required skills and competencies to do so. However, the resulting allocations are typically not as efficient as they could be, since optimization techniques have yet to find their way in traditional business process management scenarios. On the other hand, operations research provides a rich set of analytical methods for supporting problem-specific decisions on resource allocation. This paper provides a novel framework for creating transparency on existing tasks and resources, supporting individualized allocations for each activity in a process, and the possibility to integrate problem-specific analytical methods of the operations research domain. To validate the framework, the paper reports on the design and prototypical implementation of a software architecture, which extends a traditional process engine with a dedicated resource management component. This component allows us to define specific resource allocation problems at design time, and it also facilitates optimized resource allocation at run time. The framework is evaluated using a real-world parcel delivery process. The evaluation shows that the quality of the allocation results increase significantly with a technique from operations research in contrast to the traditional applied rule-based approach.
KW - Process Execution
KW - Business Process Management
KW - Resource Allocation
KW - Resource Management
KW - Activity-oriented Optimization
Y1 - 2022
U6 - https://doi.org/10.1007/s00607-022-01093-2
SN - 0010-485X
SN - 1436-5057
VL - 104
SP - 2405
EP - 2429
PB - Springer
CY - Wien
ER -
TY - JOUR
A1 - Kaya, Adem
A1 - Freitag, Melina A.
T1 - Conditioning analysis for discrete Helmholtz problems
JF - Computers and mathematics with applications : an international journal
N2 - In this paper, we examine conditioning of the discretization of the Helmholtz problem. Although the discrete Helmholtz problem has been studied from different perspectives, to the best of our knowledge, there is no conditioning analysis for it. We aim to fill this gap in the literature. We propose a novel method in 1D to observe the near-zero eigenvalues of a symmetric indefinite matrix. Standard classification of ill-conditioning based on the matrix condition number is not true for the discrete Helmholtz problem. We relate the ill-conditioning of the discretization of the Helmholtz problem with the condition number of the matrix. We carry out analytical conditioning analysis in 1D and extend our observations to 2D with numerical observations. We examine several discretizations. We find different regions in which the condition number of the problem shows different characteristics. We also explain the general behavior of the solutions in these regions.
KW - Helmholtz problem
KW - Condition number
KW - Ill-conditioning
KW - Indefinite
KW - matrices
Y1 - 2022
U6 - https://doi.org/10.1016/j.camwa.2022.05.016
SN - 0898-1221
SN - 1873-7668
VL - 118
SP - 171
EP - 182
PB - Elsevier Science
CY - Amsterdam
ER -
TY - JOUR
A1 - Krause, Hannes-Vincent
A1 - Große Deters, Fenne
A1 - Baumann, Annika
A1 - Krasnova, Hanna
T1 - Active social media use and its impact on well-being
BT - an experimental study on the effects of posting pictures on Instagram
JF - Journal of computer-mediated communication : a journal of the International Communication Association
N2 - Active use of social networking sites (SNSs) has long been assumed to benefit users' well-being. However, this established hypothesis is increasingly being challenged, with scholars criticizing its lack of empirical support and the imprecise conceptualization of active use. Nevertheless, with considerable heterogeneity among existing studies on the hypothesis and causal evidence still limited, a final verdict on its robustness is still pending. To contribute to this ongoing debate, we conducted a week-long randomized control trial with N = 381 adult Instagram users recruited via Prolific. Specifically, we tested how active SNS use, operationalized as picture postings on Instagram, affects different dimensions of well-being. The results depicted a positive effect on users' positive affect but null findings for other well-being outcomes. The findings broadly align with the recent criticism against the active use hypothesis and support the call for a more nuanced view on the impact of SNSs.
Lay Summary Active use of social networking sites (SNSs) has long been assumed to benefit users' well-being. However, this established assumption is increasingly being challenged, with scholars criticizing its lack of empirical support and the imprecise conceptualization of active use. Nevertheless, with great diversity among conducted studies on the hypothesis and a lack of causal evidence, a final verdict on its viability is still pending. To contribute to this ongoing debate, we conducted a week-long experimental investigation with 381 adult Instagram users. Specifically, we tested how posting pictures on Instagram affects different aspects of well-being. The results of this study depicted a positive effect of posting Instagram pictures on users' experienced positive emotions but no effects on other aspects of well-being. The findings broadly align with the recent criticism against the active use hypothesis and support the call for a more nuanced view on the impact of SNSs on users.
KW - social networking sites
KW - social media
KW - Instagram
KW - well-being
KW - experiment
KW - randomized control trial
Y1 - 2022
U6 - https://doi.org/10.1093/jcmc/zmac037
SN - 1083-6101
VL - 28
IS - 1
PB - Oxford Univ. Press
CY - Oxford
ER -
TY - JOUR
A1 - Mattis, Toni
A1 - Beckmann, Tom
A1 - Rein, Patrick
A1 - Hirschfeld, Robert
T1 - First-class concepts
BT - Reified architectural knowledge beyond dominant decompositions
JF - Journal of object technology : JOT / ETH Zürich, Department of Computer Science
N2 - Ideally, programs are partitioned into independently maintainable and understandable modules. As a system grows, its architecture gradually loses the capability to accommodate new concepts in a modular way. While refactoring is expensive and not always possible, and the programming language might lack dedicated primary language constructs to express certain cross-cutting concerns, programmers are still able to explain and delineate convoluted concepts through secondary means: code comments, use of whitespace and arrangement of code, documentation, or communicating tacit knowledge.
Secondary constructs are easy to change and provide high flexibility in communicating cross-cutting concerns and other concepts among programmers. However, such secondary constructs usually have no reified representation that can be explored and manipulated as first-class entities through the programming environment.
In this exploratory work, we discuss novel ways to express a wide range of concepts, including cross-cutting concerns, patterns, and lifecycle artifacts independently of the dominant decomposition imposed by an existing architecture. We propose the representation of concepts as first-class objects inside the programming environment that retain the capability to change as easily as code comments. We explore new tools that allow programmers to view, navigate, and change programs based on conceptual perspectives. In a small case study, we demonstrate how such views can be created and how the programming experience changes from draining programmers' attention by stretching it across multiple modules toward focusing it on cohesively presented concepts. Our designs are geared toward facilitating multiple secondary perspectives on a system to co-exist in symbiosis with the original architecture, hence making it easier to explore, understand, and explain complex contexts and narratives that are hard or impossible to express using primary modularity constructs.
KW - software engineering
KW - modularity
KW - exploratory programming
KW - program
KW - comprehension
KW - remodularization
KW - architecture recovery
Y1 - 2022
U6 - https://doi.org/10.5381/jot.2022.21.2.a6
SN - 1660-1769
VL - 21
IS - 2
SP - 1
EP - 15
PB - ETH Zürich, Department of Computer Science
CY - Zürich
ER -
TY - JOUR
A1 - Monti, Remo
A1 - Rautenstrauch, Pia
A1 - Ghanbari, Mahsa
A1 - Rani James, Alva
A1 - Kirchler, Matthias
A1 - Ohler, Uwe
A1 - Konigorski, Stefan
A1 - Lippert, Christoph
T1 - Identifying interpretable gene-biomarker associations with functionally informed kernel-based tests in 190,000 exomes
JF - Nature Communications
N2 - Here we present an exome-wide rare genetic variant association study for 30 blood biomarkers in 191,971 individuals in the UK Biobank. We compare gene- based association tests for separate functional variant categories to increase interpretability and identify 193 significant gene-biomarker associations. Genes associated with biomarkers were ~ 4.5-fold enriched for conferring Mendelian disorders. In addition to performing weighted gene-based variant collapsing tests, we design and apply variant-category-specific kernel-based tests that integrate quantitative functional variant effect predictions for mis- sense variants, splicing and the binding of RNA-binding proteins. For these tests, we present a computationally efficient combination of the likelihood- ratio and score tests that found 36% more associations than the score test alone while also controlling the type-1 error. Kernel-based tests identified 13% more associations than their gene-based collapsing counterparts and had advantages in the presence of gain of function missense variants. We introduce local collapsing by amino acid position for missense variants and use it to interpret associations and identify potential novel gain of function variants in PIEZO1. Our results show the benefits of investigating different functional mechanisms when performing rare-variant association tests, and demonstrate pervasive rare-variant contribution to biomarker variability.
Y1 - 2022
U6 - https://doi.org/10.1038/s41467-022-32864-2
SN - 2041-1723
VL - 13
PB - Nature Publishing Group UK
CY - London
ER -
TY - JOUR
A1 - Ndashimye, Felix
A1 - Hebie, Oumarou
A1 - Tjaden, Jasper
T1 - Effectiveness of WhatsApp for measuring migration in follow-up phone surveys
BT - lessons from a mode experiment in two low-income countries during COVID contact restrictions
JF - Social science computer review
N2 - Phone surveys have increasingly become important data collection tools in developing countries, particularly in the context of sudden contact restrictions due to the COVID-19 pandemic. So far, there is limited evidence regarding the potential of the messenger service WhatsApp for remote data collection despite its large global coverage and expanding membership. WhatsApp may offer advantages in terms of reducing panel attrition and cutting survey costs. WhatsApp may offer additional benefits to migration scholars interested in cross-border migration behavior which is notoriously difficult to measure using conventional face-to-face surveys. In this field experiment, we compared the response rates between WhatsApp and interactive voice response (IVR) modes using a sample of 8446 contacts in Senegal and Guinea. At 12%, WhatsApp survey response rates were nearly eight percentage points lower than IVR survey response rates. However, WhatsApp offers higher survey completion rates, substantially lower costs and does not introduce more sample selection bias compared to IVR. We discuss the potential of WhatsApp surveys in low-income contexts and provide practical recommendations for field implementation.
KW - WhatsApp
KW - survey mode
KW - migration
KW - Covid
KW - phone
Y1 - 2022
U6 - https://doi.org/10.1177/08944393221111340
SN - 0894-4393
SN - 1552-8286
PB - Sage
CY - Thousand Oaks
ER -
TY - JOUR
A1 - Panzer, Marcel
A1 - Bender, Benedict
A1 - Gronau, Norbert
T1 - Neural agent-based production planning and control
BT - an architectural review
JF - Journal of Manufacturing Systems
N2 - Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality.
KW - production planning and control
KW - machine learning
KW - neural networks
KW - systematic literature review
KW - taxonomy
Y1 - 2022
U6 - https://doi.org/10.1016/j.jmsy.2022.10.019
SN - 0278-6125
SN - 1878-6642
VL - 65
SP - 743
EP - 766
PB - Elsevier
CY - Amsterdam
ER -
TY - JOUR
A1 - Richly, Keven
A1 - Schlosser, Rainer
A1 - Boissier, Martin
T1 - Budget-conscious fine-grained configuration optimization for spatio-temporal applications
JF - Proceedings of the VLDB Endowment
N2 - Based on the performance requirements of modern spatio-temporal data mining applications, in-memory database systems are often used to store and process the data. To efficiently utilize the scarce DRAM capacities, modern database systems support various tuning possibilities to reduce the memory footprint (e.g., data compression) or increase performance (e.g., additional indexes). However, the selection of cost and performance balancing configurations is challenging due to the vast number of possible setups consisting of mutually dependent individual decisions. In this paper, we introduce a novel approach to jointly optimize the compression, sorting, indexing, and tiering configuration for spatio-temporal workloads. Further, we consider horizontal data partitioning, which enables the independent application of different tuning options on a fine-grained level. We propose different linear programming (LP) models addressing cost dependencies at different levels of accuracy to compute optimized tuning configurations for a given workload and memory budgets. To yield maintainable and robust configurations, we extend our LP-based approach to incorporate reconfiguration costs as well as a worst-case optimization for potential workload scenarios. Further, we demonstrate on a real-world dataset that our models allow to significantly reduce the memory footprint with equal performance or increase the performance with equal memory size compared to existing tuning heuristics.
KW - General Earth and Planetary Sciences
KW - Water Science and Technology
KW - Geography, Planning and Development
Y1 - 2022
U6 - https://doi.org/10.14778/3565838.3565858
SN - 2150-8097
VL - 15
IS - 13
SP - 4079
EP - 4092
PB - Association for Computing Machinery (ACM)
CY - [New York]
ER -
TY - JOUR
A1 - Roostapour, Vahid
A1 - Neumann, Aneta
A1 - Neumann, Frank
A1 - Friedrich, Tobias
T1 - Pareto optimization for subset selection with dynamic cost constraints
JF - Artificial intelligence
N2 - We consider the subset selection problem for function f with constraint bound B that changes over time. Within the area of submodular optimization, various greedy approaches are commonly used. For dynamic environments we observe that the adaptive variants of these greedy approaches are not able to maintain their approximation quality. Investigating the recently introduced POMC Pareto optimization approach, we show that this algorithm efficiently computes a phi=(alpha(f)/2)(1 - 1/e(alpha)f)-approximation, where alpha(f) is the submodularity ratio of f, for each possible constraint bound b <= B. Furthermore, we show that POMC is able to adapt its set of solutions quickly in the case that B increases. Our experimental investigations for the influence maximization in social networks show the advantage of POMC over generalized greedy algorithms. We also consider EAMC, a new evolutionary algorithm with polynomial expected time guarantee to maintain phi approximation ratio, and NSGA-II with two different population sizes as advanced multi-objective optimization algorithm, to demonstrate their challenges in optimizing the maximum coverage problem. Our empirical analysis shows that, within the same number of evaluations, POMC is able to perform as good as NSGA-II under linear constraint, while EAMC performs significantly worse than all considered algorithms in most cases.
KW - Subset selection
KW - Submodular function
KW - Multi-objective optimization
KW - Runtime analysis
Y1 - 2022
U6 - https://doi.org/10.1016/j.artint.2021.103597
SN - 0004-3702
SN - 1872-7921
VL - 302
PB - Elsevier
CY - Amsterdam
ER -
TY - JOUR
A1 - Rosin, Paul L.
A1 - Lai, Yu-Kun
A1 - Mould, David
A1 - Yi, Ran
A1 - Berger, Itamar
A1 - Doyle, Lars
A1 - Lee, Seungyong
A1 - Li, Chuan
A1 - Liu, Yong-Jin
A1 - Semmo, Amir
A1 - Shamir, Ariel
A1 - Son, Minjung
A1 - Winnemöller, Holger
T1 - NPRportrait 1.0: A three-level benchmark for non-photorealistic rendering of portraits
JF - Computational visual media
N2 - Recently, there has been an upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer (NST). However, the state of performance evaluation in this field is poor, especially compared to the norms in the computer vision and machine learning communities. Unfortunately, the task of evaluating image stylisation is thus far not well defined, since it involves subjective, perceptual, and aesthetic aspects. To make progress towards a solution, this paper proposes a new structured, three-level, benchmark dataset for the evaluation of stylised portrait images. Rigorous criteria were used for its construction, and its consistency was validated by user studies. Moreover, a new methodology has been developed for evaluating portrait stylisation algorithms, which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the faces. We perform evaluation for a wide variety of image stylisation methods (both portrait-specific and general purpose, and also both traditional NPR approaches and NST) using the new benchmark dataset.
KW - non-photorealistic rendering (NPR)
KW - image stylization
KW - style transfer
KW - portrait
KW - evaluation
KW - benchmark
Y1 - 2022
U6 - https://doi.org/10.1007/s41095-021-0255-3
SN - 2096-0433
SN - 2096-0662
VL - 8
IS - 3
SP - 445
EP - 465
PB - Springer Nature
CY - London
ER -
TY - JOUR
A1 - Schladebach, Marcus
T1 - Satelliten-Megakonstellationen im Weltraumrecht
JF - Kommunikation & Recht : K & R / Beihefter
Y1 - 2022
SN - 1434-6354
IS - 2
SP - 26
EP - 29
PB - dfv-Mediengruppe
CY - Frankfurt am Main
ER -
TY - JOUR
A1 - Schmidl, Sebastian
A1 - Papenbrock, Thorsten
T1 - Efficient distributed discovery of bidirectional order dependencies
JF - The VLDB journal
N2 - Bidirectional order dependencies (bODs) capture order relationships between lists of attributes in a relational table. They can express that, for example, sorting books by publication date in ascending order also sorts them by age in descending order. The knowledge about order relationships is useful for many data management tasks, such as query optimization, data cleaning, or consistency checking. Because the bODs of a specific dataset are usually not explicitly given, they need to be discovered. The discovery of all minimal bODs (in set-based canonical form) is a task with exponential complexity in the number of attributes, though, which is why existing bOD discovery algorithms cannot process datasets of practically relevant size in a reasonable time. In this paper, we propose the distributed bOD discovery algorithm DISTOD, whose execution time scales with the available hardware. DISTOD is a scalable, robust, and elastic bOD discovery approach that combines efficient pruning techniques for bOD candidates in set-based canonical form with a novel, reactive, and distributed search strategy. Our evaluation on various datasets shows that DISTOD outperforms both single-threaded and distributed state-of-the-art bOD discovery algorithms by up to orders of magnitude; it can, in particular, process much larger datasets.
KW - Bidirectional order dependencies
KW - Distributed computing
KW - Actor
KW - programming
KW - Parallelization
KW - Data profiling
KW - Dependency discovery
Y1 - 2021
U6 - https://doi.org/10.1007/s00778-021-00683-4
SN - 1066-8888
SN - 0949-877X
VL - 31
IS - 1
SP - 49
EP - 74
PB - Springer
CY - Berlin ; Heidelberg ; New York
ER -
TY - JOUR
A1 - Seewann, Lena
A1 - Verwiebe, Roland
A1 - Buder, Claudia
A1 - Fritsch, Nina-Sophie
T1 - “Broadcast your gender.”
BT - A comparison of four text-based classification methods of German YouTube channels
JF - Frontiers in Big Data
N2 - Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.
KW - text based classification methods
KW - gender
KW - YouTube
KW - machine learning
KW - authorship attribution
Y1 - 2022
U6 - https://doi.org/10.3389/fdata.2022.908636
SN - 2624-909X
IS - 5
PB - Frontiers
CY - Lausanne, Schweiz
ER -
TY - JOUR
A1 - Spiekermann, Sarah
A1 - Krasnova, Hanna
A1 - Hinz, Oliver
A1 - Baumann, Annika
A1 - Benlian, Alexander
A1 - Gimpel, Henner
A1 - Heimbach, Irina
A1 - Koester, Antonia
A1 - Maedche, Alexander
A1 - Niehaves, Bjoern
A1 - Risius, Marten
A1 - Trenz, Manuel
T1 - Values and ethics in information systems
BT - a state-of-the-art analysis and avenues for future research
JF - Business & information systems engineering
Y1 - 2022
U6 - https://doi.org/10.1007/s12599-021-00734-8
SN - 2363-7005
SN - 1867-0202
VL - 64
IS - 2
SP - 247
EP - 264
PB - Springer Gabler
CY - Wiesbaden
ER -