publications: - title: "The onprom Toolchain for Extracting Business Process Logs using Ontology-based Data Access" author: - name: "Diego Calvanese" link: "https://researchr.org/alias/diego-calvanese" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Marco Montali" link: "https://researchr.org/alias/marco-montali" - name: "Ario Santoso" link: "https://researchr.org/alias/ario-santoso" year: "2017" doi: "http://ceur-ws.org/Vol-1920/BPM_2017_paper_207.pdf" abstract: "Process mining techniques require the input data to be explicitly structured in the form of an event log. Unfortunately, in many real world settings, such event logs are not explicitly given, but they are implicitly stored in legacy information systems. Therefore, to enable process mining, there is a need to support the data preparation and the log extraction from legacy information systems. The onprom tool-chain aims at supporting users in the semi-automatic extraction of event logs from a legacy information system, reflecting different process-related views on the same data, and consequently facilitating multi-perspective process mining. The tool-chain is based on the ontology-based data access paradigm, and consists of three components, namely UML editor, annotation editor, and log extractor. Each component can be used both as a plug-in for the extensible process mining framework ProM, or within an integrated toolkit. The produced logs are fully compliant with the XES standard." links: doi: "http://ceur-ws.org/Vol-1920/BPM_2017_paper_207.pdf" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/bpm/CalvaneseKMS17" researchr: "https://researchr.org/publication/CalvaneseKMS17-0" cites: 0 citedby: 0 booktitle: "BPM" kind: "inproceedings" key: "CalvaneseKMS17-0" - title: "An ant colony optimisation approach for optimising SPARQL queries by reordering triple patterns" author: - name: "Elem Guzel Kalayci" link: "https://researchr.org/alias/elem-guzel-kalayci" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Derya Birant" link: "https://researchr.org/alias/derya-birant" year: "2015" doi: "http://dx.doi.org/10.1016/j.is.2015.01.013" abstract: "Processing the excessive volumes of information on the Web is an important issue. The Semantic Web paradigm has been proposed as the solution. However, this approach generates several challenges, such as query processing and optimisation. This paper proposes a novel approach for optimising SPARQL queries with different graph shapes. This new method reorders the triple patterns using Ant Colony Optimisation (ACO) algorithms. Reordering the triple patterns is a way of decreasing the execution times of the SPARQL queries. The proposed approach is focused on in-memory models of RDF data, and it optimises the SPARQL queries by means of Ant System, Elitist Ant System and MAX–MIN Ant System algorithms. The approach is implemented in the Apache Jena ARQ query engine, which is used for the experimentation, and the new method is compared with Normal Execution, Jena Reorder Algorithms, and the Stocker et al. Algorithms. All of the experiments are performed using the LUBM dataset for various shapes of queries, such as chain, star, cyclic, and chain–star. The first contribution is the real-time optimisation of SPARQL query triple pattern orders using ACO algorithms, and the second contribution is the concrete implementation for the ARQ query engine, which is a component of the widely used Semantic Web framework Apache Jena. The experiments demonstrate that the proposed method reduces the execution time of the queries significantly." links: doi: "http://dx.doi.org/10.1016/j.is.2015.01.013" dblp: "http://dblp.uni-trier.de/rec/bibtex/journals/is/KalayciKB15" researchr: "https://researchr.org/publication/KalayciKB15" cites: 0 citedby: 0 journal: "is" volume: "50" pages: "51-68" kind: "article" key: "KalayciKB15" - title: "OBDA for Log Extraction in Process Mining" author: - name: "Diego Calvanese" link: "https://researchr.org/alias/diego-calvanese" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Marco Montali" link: "https://researchr.org/alias/marco-montali" - name: "Ario Santoso" link: "https://researchr.org/alias/ario-santoso" year: "2017" doi: "https://doi.org/10.1007/978-3-319-61033-7_9" abstract: "Process mining is an emerging area that synergically combines model-based and data-oriented analysis techniques to obtain useful insights on how business processes are executed within an organization. Through process mining, decision makers can discover process models from data, compare expected and actual behaviors, and enrich models with key information about their actual execution. To be applicable, process mining techniques require the input data to be explicitly structured in the form of an event log, which lists when and by whom different case objects (i.e., process instances) have been subject to the execution of tasks. Unfortunately, in many real world set-ups, such event logs are not explicitly given, but are instead implicitly represented in legacy information systems. To apply process mining in this widespread setting, there is a pressing need for techniques able to support various process stakeholders in data preparation and log extraction from legacy information systems. The purpose of this paper is to single out this challenging, open issue, and didactically introduce how techniques from intelligent data management, and in particular ontology-based data access, provide a viable solution with a solid theoretical basis." links: doi: "https://doi.org/10.1007/978-3-319-61033-7_9" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/rweb/CalvaneseKMS17" researchr: "https://researchr.org/publication/CalvaneseKMS17" cites: 0 citedby: 0 pages: "292-345" booktitle: "rweb" kind: "inproceedings" key: "CalvaneseKMS17" - title: "A reactive self-tuning scheme for multilevel graph partitioning" author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Roberto Battiti" link: "https://researchr.org/alias/roberto-battiti" year: "2018" doi: "https://doi.org/10.1016/j.amc.2017.08.031" abstract: "We propose a new multilevel graph bi-partitioning approach (M-RRTS) using greedy construction and reactive-randomized tabu search (RRTS). RRTS builds upon local search by adding prohibitions (to enforce diversification) and self-tuning mechanisms to adapt meta-parameters in an online manner to the instance being solved. The novel M-RRTS approach adds a multi-scale structure to the previous method. The original graph is summarized through a hierarchy of coarser graphs. At each step, more densely-interconnected nodes at a given level of the hierarchy are coalesced together. The coarsest graph is then partitioned, and uncoarsening phases followed by refinement steps build solutions at finer levels until the original graph is partitioned. A variation of RRTS is applied for the refinement of partitions after each uncoarsening phase. We investigate various building blocks of the proposed multilevel scheme, such as different initial greedy constructions, different tie-breaking options and various matching mechanisms to build the coarser levels. Detailed experimental results are presented on the benchmark graphs from Walshaw’s graph partitioning repository and potentially hard graphs. The proposed approach produces the record results for 14 of 34 graphs from the repository in lower CPU times with respect to competing approaches. These results confirm the value of the new self-tuning and multilevel strategy to rapidly adapt to new instances." links: doi: "https://doi.org/10.1016/j.amc.2017.08.031" dblp: "http://dblp.uni-trier.de/rec/bibtex/journals/amc/KalayciB18" researchr: "https://researchr.org/publication/KalayciB18" cites: 0 citedby: 0 journal: "amc" volume: "318" pages: "227-244" kind: "article" key: "KalayciB18" - title: "How Wireless Sensor Networks Can Benefit from Brain Emotional Learning Based Intelligent Controller (BELBIC)" author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Majid Bahrepour" link: "https://researchr.org/alias/majid-bahrepour" - name: "Nirvana Meratnia" link: "https://researchr.org/alias/nirvana-meratnia" - name: "Paul J. M. Havinga" link: "https://researchr.org/alias/paul-j.-m.-havinga" year: "2011" doi: "http://dx.doi.org/10.1016/j.procs.2011.07.029" abstract: "Wireless sensor networks (WSNs) are composed of small sensing and actuating devices that collaboratively monitor a phenomena, process and reason about sensor measurements, and provide adequate feedback or take actions. One of WSNs tasks is event detection, in which occurrence of events of interest is detected in situ whenever and wherever they occur. Some examples of these events include environmental (e.g. fire), personal (e.g. activities), and data-related (e.g. outlier) events. Simply speaking, event detection is a classification process, in which membership of data measurements to each event class is determined. Neural network is one of the classifiers that have often been used for detecting events with known patterns. One of the techniques to maximise the neural network performance during classification process is enabling a learning process. Through this learning process, neural network can learn from errors generated in each round of classification to gradually improve its performance. In this paper we investigate applicability of Brain Emotional Based Intelligent Controller (BELBIC) to improve neural network performance. Empirical results show that incorporating the BELBIC with neural networks improves the accuracy of event detection in many circumstances." links: doi: "http://dx.doi.org/10.1016/j.procs.2011.07.029" dblp: "http://dblp.uni-trier.de/rec/bibtex/journals/procedia/KalayciBMH11" researchr: "https://researchr.org/publication/journals-procedia-KalayciBMH11" cites: 0 citedby: 0 pages: "216-223" booktitle: "ant" kind: "inproceedings" key: "journals-procedia-KalayciBMH11" - title: "Conceptual Schema Transformation in Ontology-based Data Access (Extended Abstract)" author: - name: "Diego Calvanese" link: "https://researchr.org/alias/diego-calvanese" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Marco Montali" link: "https://researchr.org/alias/marco-montali" - name: "Ario Santoso" link: "https://researchr.org/alias/ario-santoso" - name: "Wil M. P. van der Aalst" link: "https://researchr.org/alias/wil-m.-p.-van-der-aalst" year: "2018" doi: "http://ceur-ws.org/Vol-2211/paper-42.pdf" links: doi: "http://ceur-ws.org/Vol-2211/paper-42.pdf" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/dlog/CalvaneseKMSA18" researchr: "https://researchr.org/publication/CalvaneseKMSA18" cites: 0 citedby: 0 booktitle: "dlog" kind: "inproceedings" key: "CalvaneseKMSA18" - title: "RFID Infrastructures and AI Approachs For Security" author: - name: "Mehmet Kis" link: "https://researchr.org/alias/mehmet-kis" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" year: "2007" month: "September" doi: "10.1109/RFIDEURASIA.2007.4368099" researchr: "https://researchr.org/publication/2007-RFID" cites: 0 citedby: 0 pages: "68-73" booktitle: "1st Annual RFID Eurasia Conference" kind: "inproceedings" key: "2007-RFID" - title: "Automatic Generation of Virtual Computer Rooms on the Internet Using X3D" author: - name: "Ugur, Aybars" link: "https://researchr.org/alias/ugur%2C-aybars" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" year: "2007" doi: "10.1007/978-3-540-72586-2_22" researchr: "https://researchr.org/publication/1418181" cites: 0 citedby: 0 booktitle: "ICCS '07: Proceedings of the 7th international conference on Computational Science, Part II" kind: "inproceedings" key: "1418181" - title: "Maximizing Coverage in a Connected and K-Covered Wireless Sensor Network Using Genetic Algorithms" author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Kasim Sinan Yildirim" link: "https://researchr.org/alias/kasim-sinan-yildirim" - name: "Aybars Ugur" link: "https://researchr.org/alias/aybars-ugur" year: "2007" links: "url": "http://www.universitypress.org.uk/journals/ami/ami-18.pdf" researchr: "https://researchr.org/publication/2007-AMI" cites: 0 citedby: 0 journal: "International Journal of Applied Mathematics and Informatics" volume: "1" number: "3" pages: "123-130" kind: "article" key: "2007-AMI" - title: "Ontology-Based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology" author: - name: "Diego Calvanese" link: "https://researchr.org/alias/diego-calvanese" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Marco Montali" link: "https://researchr.org/alias/marco-montali" - name: "Stefano Tinella" link: "https://researchr.org/alias/stefano-tinella" year: "2017" doi: "https://doi.org/10.1007/978-3-319-59336-4_16" abstract: "Process mining aims at discovering, monitoring, and improving business processes by extracting knowledge from event logs. In this respect, process mining can be applied only if there are proper event logs that are compatible with accepted standards, such as extensible event stream (XES). Unfortunately, in many real world set-ups, such event logs are not explicitly given, but instead are implicitly represented in legacy information systems. In this work, we exploit a framework and associated methodology for the extraction of XES event logs from relational data sources that we have recently introduced. Our approach is based on describing logs by means of suitable annotations of a conceptual model of the available data, and builds on the ontology-based data access (OBDA) paradigm for the actual log extraction. Making use of a real-world case study in the services domain, we compare our novel approach with a more traditional extract-transform-load based one, and are able to illustrate its added value. We also present a set of tools that we have developed and that support the OBDA-based log extraction framework. The tools are integrated as plugins of the ProM process mining suite." links: doi: "https://doi.org/10.1007/978-3-319-59336-4_16" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/bis/CalvaneseKMT17" researchr: "https://researchr.org/publication/CalvaneseKMT17" cites: 0 citedby: 0 pages: "220-236" booktitle: "bis" kind: "inproceedings" key: "CalvaneseKMT17" - title: "Area-priority-based sensor deployment optimisation with priority estimation using K-means" author: - name: "Enes Ates" link: "https://researchr.org/alias/enes-ates" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Aybars Ugur" link: "https://researchr.org/alias/aybars-ugur" year: "2017" doi: "https://doi.org/10.1049/iet-com.2016.1264" abstract: "Deployment in wireless sensor networks (WSN) addresses maximising the coverage of sensors and reducing the total cost of deployment. The area-priority concept for WSN deployment that the authors contributed to the literature recently allows environments with regions that have different importance or priority levels. In this study, the authors propose the first priority-estimation method for area-priority-based WSN deployments. First, a satellite image of the environment that will be used in the deployment of the sensors is clustered by a K-means algorithm using the colour features of the regions. In the sensor deployment phase, this cluster information is used to determine the priorities of the sensor coverage areas on positions of the image. Sensors are initially deployed quickly using a priority queue-based technique. Then, a simulated annealing algorithm is used to maximise the total covered area priority and to minimise the gaps between the sensors. Various experiments are performed for different scenarios (land, sea, and forest) on images captured from Google Maps using different parameter values. The experiments confirm that the proposed approach performs well and outperforms the random deployment of sensors. " links: doi: "https://doi.org/10.1049/iet-com.2016.1264" dblp: "http://dblp.uni-trier.de/rec/bibtex/journals/iet-com/AtesKU17" researchr: "https://researchr.org/publication/AtesKU17" cites: 0 citedby: 0 journal: "iet-com" volume: "11" number: "7" pages: "1082-1090" kind: "article" key: "AtesKU17" - title: "Genetic Algorithm-based Sensor Deployment with Area Priority " author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Ugur, Aybars" link: "https://researchr.org/alias/ugur%2C-aybars" year: "2011" doi: "10.1080/01969722.2011.634676" links: "url": "http://www.tandfonline.com/doi/abs/10.1080/01969722.2011.634676" tags: - "rule-based" - "deployment" researchr: "https://researchr.org/publication/doi%3A10.1080-01969722.2011.634676" cites: 0 citedby: 0 journal: "cas" volume: "42" number: "8" pages: "605-620" kind: "article" key: "doi:10.1080-01969722.2011.634676" - title: "Machine Learning Approach for Estimating Sensor Deployment Regions on Satellite Images" author: - name: "Enes Ates" link: "https://researchr.org/alias/enes-ates" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Aybars Ugur" link: "https://researchr.org/alias/aybars-ugur" year: "2014" links: "url": "http://www.isites.info/PastConferences/ISITES2014/ISITES2014/papers/B11-ISITES2014ID58.pdf" researchr: "https://researchr.org/publication/2014-ISITES" cites: 0 citedby: 0 pages: "309-318" booktitle: "2nd International Symposium on Innovative Technologies in Engineering and Science" kind: "inproceedings" key: "2014-ISITES" - title: "Conceptual Schema Transformation in Ontology-Based Data Access" author: - name: "Diego Calvanese" link: "https://researchr.org/alias/diego-calvanese" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Marco Montali" link: "https://researchr.org/alias/marco-montali" - name: "Ario Santoso" link: "https://researchr.org/alias/ario-santoso" - name: "Wil M. P. van der Aalst" link: "https://researchr.org/alias/wil-m.-p.-van-der-aalst" year: "2018" doi: "https://doi.org/10.1007/978-3-030-03667-6_4" abstract: "Ontology-based Data Access (OBDA) is a by now well-established paradigm that relies on conceptually representing a domain of interest to provide access to relational data sources. The conceptual representation is given in terms of a domain schema (also called an ontology), which is linked to the data sources by means of declarative mapping specifications, and queries posed over the conceptual schema are automatically rewritten into queries over the sources. We consider the interesting setting where users would like to access the same data sources through a new conceptual schema, which we call the upper schema. This is particularly relevant when the upper schema is a reference model for the domain, or captures the data format used by data analysis tools. We propose a solution to this problem that is based on using transformation rules to map the upper schema to the domain schema, building upon the knowledge contained therein. We show how this enriched framework can be automatically transformed into a standard OBDA specification, which directly links the original relational data sources to the upper schema. This allows us to access data directly from the data sources while leveraging the domain schema and upper schema as a lens. We have realized the framework in a tool-chain that provides modeling of the conceptual schemas, a concrete annotation-based mechanism to specify transformation rules, and the automated generation of the final OBDA specification." links: doi: "https://doi.org/10.1007/978-3-030-03667-6_4" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/ekaw/CalvaneseKMSA18" researchr: "https://researchr.org/publication/CalvaneseKMSA18-0" cites: 0 citedby: 0 pages: "50-67" booktitle: "ekaw" kind: "inproceedings" key: "CalvaneseKMSA18-0" - title: "Age-Related Differences in the Interaction with Advanced Driver Assistance Systems - A Field Study" author: - name: "Norah Neuhuber" link: "https://researchr.org/alias/norah-neuhuber" - name: "Gernot Lechner" link: "https://researchr.org/alias/gernot-lechner" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Alexander Stocker" link: "https://researchr.org/alias/alexander-stocker" - name: "Bettina Kubicek" link: "https://researchr.org/alias/bettina-kubicek" year: "2020" doi: "https://doi.org/10.1007/978-3-030-50523-3_26" links: doi: "https://doi.org/10.1007/978-3-030-50523-3_26" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/hci/NeuhuberLKSK20" researchr: "https://researchr.org/publication/NeuhuberLKSK20" cites: 0 citedby: 0 pages: "363-378" booktitle: "hci" kind: "inproceedings" key: "NeuhuberLKSK20" - title: "Can wireless sensor networks be emotional? A survey of computational models of emotions and their applications for wireless sensor networks" author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Majid Bahrepour" link: "https://researchr.org/alias/majid-bahrepour" - name: "Nirvana Meratnia" link: "https://researchr.org/alias/nirvana-meratnia" - name: "Paul J. M. Havinga" link: "https://researchr.org/alias/paul-j.-m.-havinga" year: "2017" doi: "https://doi.org/10.1504/IJAHUC.2017.10001736" abstract: "Advances in psychology have revealed that emotions and rationality are interlinked and emotions are essential for rational behaviour and decision making. Therefore, integration of emotions with intelligent systems has become an important topic in engineering. The integration of emotions into intelligent systems requires computational models to generate emotions from external and internal sources. This paper first provides a survey of current computational models of emotion and their applications in engineering. Finally, it assesses potential of integrating emotions in wireless sensor networks (WSNs) by listing some use scenarios and by giving one model application. In this model application performance of a neural network for event detection has been improved using brain emotional learning based intelligent controller (BELBIC)." links: doi: "https://doi.org/10.1504/IJAHUC.2017.10001736" dblp: "http://dblp.uni-trier.de/rec/bibtex/journals/ijahuc/KalayciBMH17" researchr: "https://researchr.org/publication/KalayciBMH17" cites: 0 citedby: 0 journal: "ijahuc" volume: "25" number: "3" pages: "133-146" kind: "article" key: "KalayciBMH17" - title: "Ontop-temporal: A Tool for Ontology-based Query Answering over Temporal Data" author: - name: "Elem Güzel Kalayci" link: "https://researchr.org/alias/elem-g%C3%BCzel-kalayci" - name: "Guohui Xiao" link: "https://researchr.org/alias/guohui-xiao" - name: "Vladislav Ryzhikov" link: "https://researchr.org/alias/vladislav-ryzhikov" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Diego Calvanese" link: "https://researchr.org/alias/diego-calvanese" year: "2018" doi: "https://doi.org/10.1145/3269206.3269230" links: doi: "https://doi.org/10.1145/3269206.3269230" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/cikm/KalayciXRKC18" researchr: "https://researchr.org/publication/KalayciXRKC18" cites: 0 citedby: 0 pages: "1927-1930" booktitle: "CIKM" kind: "inproceedings" key: "KalayciXRKC18" - title: "A reactive self-tuning scheme for multilevel graph partitioning" author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Roberto Battiti" link: "https://researchr.org/alias/roberto-battiti" year: "2018" doi: "https://doi.org/10.1016/j.amc.2017.08.031" links: doi: "https://doi.org/10.1016/j.amc.2017.08.031" "url": "http://www.sciencedirect.com/science/article/pii/S0096300317305829" researchr: "https://researchr.org/publication/KALAYCI2018227" cites: 0 citedby: 0 journal: "amc" volume: "318" number: "Supplement C" pages: "227-244" kind: "article" key: "KALAYCI2018227" - title: "A Lightweight Framework for Multi-device Integration and Multi-sensor Fusion to Explore Driver Distraction" author: - name: "Gernot Lechner" link: "https://researchr.org/alias/gernot-lechner" - name: "Michael Fellmann" link: "https://researchr.org/alias/michael-fellmann" - name: "Andreas Festl" link: "https://researchr.org/alias/andreas-festl" - name: "Christian Kaiser" link: "https://researchr.org/alias/christian-kaiser" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Michael Spitzer" link: "https://researchr.org/alias/michael-spitzer" - name: "Alexander Stocker" link: "https://researchr.org/alias/alexander-stocker" year: "2019" doi: "https://doi.org/10.1007/978-3-030-21290-2_6" links: doi: "https://doi.org/10.1007/978-3-030-21290-2_6" dblp: "http://dblp.uni-trier.de/rec/bibtex/conf/caise/LechnerFFKKSS19" researchr: "https://researchr.org/publication/LechnerFFKKSS19" cites: 0 citedby: 0 pages: "80-95" booktitle: "caise" kind: "inproceedings" key: "LechnerFFKKSS19" - title: "Reordering Triple Patterns of SPARQL Queries using Ant Colony Optimization" author: - name: "Elem Guzel Kalayci" link: "https://researchr.org/alias/elem-guzel-kalayci" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" year: "2012" month: "June" researchr: "https://researchr.org/publication/2012-MENDEL" cites: 0 citedby: 0 pages: "488-493" booktitle: "Proceedings of the 18th International Conference on Soft Computing (MENDEL 2012)" kind: "inproceedings" key: "2012-MENDEL" - title: "Optimizing coverage in a K-covered and connected sensor network using genetic algorithms" author: - name: "Yildirim, Kasim Sinan" link: "https://researchr.org/alias/yildirim%2C-kasim-sinan" - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Ugur, Aybars" link: "https://researchr.org/alias/ugur%2C-aybars" year: "2008" tags: - "optimization" - "coverage" researchr: "https://researchr.org/publication/1415981" cites: 0 citedby: 0 booktitle: "EC'08: Proceedings of the 9th WSEAS International Conference on Evolutionary Computing" kind: "inproceedings" key: "1415981" - title: "Triangulated investigation of trust in automated driving: Challenges and solution approaches for data integration" author: - name: "Tahir Emre Kalayci" link: "https://tekrei.gitlab.io" - name: "Elem Güzel Kalayci" link: "https://researchr.org/alias/elem-g%C3%BCzel-kalayci" - name: "Gernot Lechner" link: "https://researchr.org/alias/gernot-lechner" - name: "Norah Neuhuber" link: "https://researchr.org/alias/norah-neuhuber" - name: "Michael Spitzer" link: "https://researchr.org/alias/michael-spitzer" - name: "Eva Westermeier" link: "https://researchr.org/alias/eva-westermeier" - name: "Alexander Stocker" link: "https://researchr.org/alias/alexander-stocker" year: "2021" doi: "https://doi.org/10.1016/j.jii.2020.100186" links: doi: "https://doi.org/10.1016/j.jii.2020.100186" dblp: "http://dblp.uni-trier.de/rec/bibtex/journals/jiii/KalayciKLNSWS21" researchr: "https://researchr.org/publication/KalayciKLNSWS21" cites: 0 citedby: 0 journal: "jiii" volume: "21" pages: "100186" kind: "article" key: "KalayciKLNSWS21"