@inproceedings{4208, author = {Koravuna, Shamini and Sanaullah, Sanaullah and Jungeblut, Thorsten and Rückert, Ulrich}, booktitle = {Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I}, editor = {Rojas, Ignacio and Joya, Gonzalo and Catala, Andreu}, isbn = {978-3-031-43084-8}, issn = {1611-3349}, pages = {406--417}, publisher = {Springer Nature Switzerland}, title = {{Digit Recognition Using Spiking Neural Networks on FPGA}}, doi = {10.1007/978-3-031-43085-5_32}, year = {2023}, } @inproceedings{3622, author = {Stecker, Benjamin and Brandt-Pook, Hans}, booktitle = {Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II}, editor = {Rutkowski, Leszek and Scherer, Rafał and Korytkowski, Marcin and Pedrycz, Witold and Tadeusiewicz, Ryszard and Zurada, Jacek M.}, isbn = {978-3-031-42507-3}, issn = {1611-3349}, pages = {91--101}, publisher = {Springer Nature Switzerland}, title = {{Application of Object Detection Models for the Detection of Kitchen Furniture - A Comparison}}, doi = {10.1007/978-3-031-42508-0_9}, year = {2023}, } @inproceedings{2232, author = {Voigt, Tim and Schöne, Marvin and Kohlhase, Martin and Nelles, Oliver and Kuhn, Martin}, booktitle = {Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings}, editor = {Yin, Hujun and Camacho, David and Tino, Peter}, isbn = {978-3-031-21752-4}, issn = {1611-3349}, location = {Manchester, UK}, pages = {379--390}, publisher = {Springer International Publishing}, title = {{Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes}}, doi = {10.1007/978-3-031-21753-1_37}, year = {2022}, } @inproceedings{3050, abstract = {Soft sensors combine a hardware component with an intelligent algorithmic processing of the raw sensor signals. While individualization of software components according to a person’s specific needs is comparably cheap, individualization of the sensor hardware itself is usually impossible in mass production. At the same time, the number of raw sensors should be minimum to reduce production costs. In this contribution, we propose to model this challenge as a feature selection problem, which optimizes a feature set simultaneously with respect to a family of functions corresponding to individualized post-processing of sensor signals. This concept is integrated into a number of different classical feature selection schemes, and evaluated in the context of the placement of pressure sensors as part of a shoe insole. It turns out that feature selection respecting the class of functions is superior to both placement based on anatomical considerations and classical feature selection methods.}, author = {Vieth, Markus and Grimmelsmann, Nils and Schneider, Axel and Hammer, Barbara}, booktitle = {Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings}, editor = {Yin, Hujun and Camacho, David and Tino, Peter}, isbn = {978-3-031-21752-4}, issn = {1611-3349}, location = {Manchester}, pages = {326--337}, publisher = {Springer International Publishing}, title = {{Efficient Sensor Selection for Individualized Prediction Based on Biosignals}}, doi = {10.1007/978-3-031-21753-1_32}, volume = {13756}, year = {2022}, } @inbook{2483, abstract = {Systematic literature reviews (SLRs) are at the heart of evidence-based research, collecting and integrating empirical evidence regarding specific research questions. A leading step in the search for relevant evidence is composing Boolean search queries, which are still at the core of how information retrieval systems work to perform an advanced literature search. Building these queries thus requires going from the general aims of the research questions into actionable search terms that are combined into potentially complex Boolean expressions. Researchers are thus tasked with the daunting and challenging task of building and refining search queries in their quest for sufficient coverage and proper representation of the literature. In this paper, we propose an adaptive Boolean query generation and refinement pipeline for SLR search. Our approach utilizes a reinforcement learning technique to learn the optimal modifications for a query based on the feedback collecting from the researchers about the query retrieval performance. Empirical evaluations with 10 SLR datasets showed our approach to achieve comparable performance to that of queries manually composed by SLR authors.}, author = {Badami, Maisie and Benatallah, Boualem and Baez Gonzalez, Marcos}, booktitle = {Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings}, editor = {Franch, Xavier and Poels, Geert and Gailly, Frederik and Snoeck, Monique}, isbn = {978-3-031-07471-4}, issn = {1611-3349}, location = {Leuven, Belgium}, pages = {129--146}, publisher = {Springer International Publishing}, title = {{Systematic Literature Review Search Query Refinement Pipeline: Incremental Enrichment and Adaptation}}, doi = {10.1007/978-3-031-07472-1_8}, year = {2022}, } @inbook{2481, author = {Baez Gonzalez, Marcos and Cappiello, Cinzia and Cutrupi, Claudia M. and Matera, Maristella and Possaghi, Isabella and Pucci, Emanuele and Spadone, Gianluca and Pasquale, Antonella}, booktitle = {Web Engineering. 22nd International Conference, ICWE 2022, Bari, Italy, July 5–8, 2022, Proceedings}, editor = {Di Noia, Tommaso and Ko, In-Young and Schedl, Markus and Ardito, Carmelo}, isbn = {978-3-031-09916-8}, issn = {1611-3349}, location = {Bari, Italy}, pages = {383--390}, publisher = {Springer International Publishing}, title = {{Supporting Natural Language Interaction with the Web}}, doi = {10.1007/978-3-031-09917-5_26}, year = {2022}, } @inbook{2480, author = {Bouguelia, Sara and Brabra, Hayet and Benatallah, Boualem and Baez Gonzalez, Marcos and Zamanirad, Shayan and Kheddouci, Hamamache}, booktitle = {Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings}, editor = {Franch, Xavier and Poels, Geert and Gailly, Frederik and Snoeck, Monique}, isbn = {978-3-031-07471-4}, issn = {1611-3349}, location = {Leuven, Belgium}, pages = {237--252}, publisher = {Springer International Publishing}, title = {{Context Knowledge-Aware Recognition of Composite Intents in Task-Oriented Human-Bot Conversations}}, doi = {10.1007/978-3-031-07472-1_14}, year = {2022}, } @inbook{2479, author = {Ramírez, Jorge and Baez Gonzalez, Marcos and Berro, Auday and Benatallah, Boualem and Casati, Fabio}, booktitle = {Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings}, editor = {Franch, Xavier and Poels, Geert and Gailly, Frederik and Snoeck, Monique}, isbn = {978-3-031-07471-4}, issn = {1611-3349}, location = {Leuven, Belgium}, pages = {253--269}, publisher = {Springer International Publishing}, title = {{Crowdsourcing Syntactically Diverse Paraphrases with Diversity-Aware Prompts and Workflows}}, doi = {10.1007/978-3-031-07472-1_15}, year = {2022}, } @inbook{2401, abstract = {Task-oriented conversational assistants are in very high demand these days. They employ third-party APIs to serve end-users via natural language interactions and improve their productivity. Recently, the augmentation of process-enabled automation with conversational assistants emerged as a promising technology to make process automation closer to users. This paper focuses on the superimposition of task-oriented assistants over composite services. We propose a Human-bot-Process interaction acts that are relevant to represent natural language conversations between the user and multi-step processes. In doing so, we enable human users to perform tasks by naturally interacting with processes.}, author = {Bouguelia, Sara and Berro, Auday and Benatallah, Boualem and Baez Gonzalez, Marcos and Brabra, Hayet and Zamanirad, Shayan and Kheddouci, Hamamache}, booktitle = {Service-Oriented Computing. 20th International Conference, ICSOC 2022, Seville, Spain, November 29 – December 2, 2022, Proceedings}, editor = {Troya, Javier and Medjahed, Brahim and Piattini, Mario and Yao, Lina and Fernández, Pablo and Ruiz-Cortés, Antonio}, isbn = {978-3-031-20983-3}, issn = {1611-3349}, location = {Seville, Spain}, pages = {575--583}, publisher = {Springer Nature Switzerland}, title = {{Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services}}, doi = {10.1007/978-3-031-20984-0_41}, year = {2022}, } @inproceedings{2668, author = {Ostrau, Christoph and Homburg, Jonas and Klarhorst, Christian and Thies, Michael and Rückert, Ulrich}, booktitle = {Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II}, editor = {Farkaš, Igor and Masulli, Paolo and Wermter, Stefan}, isbn = {978-3-030-61615-1}, issn = {1611-3349}, pages = {610--621}, publisher = {Springer International Publishing}, title = {{Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware}}, doi = {10.1007/978-3-030-61616-8_49}, year = {2020}, } @inbook{2641, author = {Ostrau, Christoph and Homburg, Jonas and Klarhorst, Christian and Thies, Michael and Rückert, Ulrich}, booktitle = {Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II}, editor = {Farkaš, Igor and Masulli, Paolo and Wermter, Stefan}, isbn = {978-3-030-61615-1}, issn = {1611-3349}, pages = {610--621}, publisher = {Springer International Publishing}, title = {{Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware}}, doi = {10.1007/978-3-030-61616-8_49}, year = {2020}, } @inbook{2362, author = {Baez Gonzalez, Marcos and Daniel, Florian and Casati, Fabio}, booktitle = {Chatbot Research and Design. Third International Workshop, CONVERSATIONS 2019, Amsterdam, The Netherlands, November 19–20, 2019, Revised Selected Papers}, editor = {Følstad, Asbjørn and Araujo, Theo and Papadopoulos, Symeon and Law, Effie Lai-Chong and Granmo, Ole-Christoffer and Luger, Ewa and Brandtzaeg, Petter Bae}, isbn = {978-3-030-39539-1}, issn = {1611-3349}, pages = {94--110}, publisher = {Springer International Publishing}, title = {{Conversational Web Interaction: Proposal of a Dialog-Based Natural Language Interaction Paradigm for the Web}}, doi = {10.1007/978-3-030-39540-7_7}, year = {2020}, } @inbook{1916, abstract = {In the context of Industry 4.0, an increasing number of data-driven models is used in order to improve industrial processes. These models need to be accurate and interpretable. Regression Trees are able to fulfill these requirements, especially if their model flexibility is increased by multivariate splits that adapt to the process function. In this paper, a novel approach for multivariate split selection is presented. The direction of the split is determined by a first-order Least Squares model, that adapts to process function gradient in a local area. By using a forward selection method, the curse of dimensionality is weakened, interpretability is maintained and a generalized split is created. The approach is implemented in CART as an extension to the existing algorithm for constructing the Least Squares Regression Tree (LSRT). For evaluation, an extensive experimental analysis is performed in which LSRT leads to much smaller trees and a higher prediction accuracy than univariate CART. Furthermore, low sensitivity to noise and performance improvements for high dimensional input spaces and small data sets are achieved.}, author = {Schöne, Marvin and Kohlhase, Martin}, booktitle = {Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I}, editor = {Analide, Cesar and Novais, Paulo and Camacho, David and Yin, Hujun}, isbn = {978-3-030-62361-6}, issn = {1611-3349}, keywords = {Industry 4.0, Interpretability, Curse of dimensionality, Oblique Regression Trees, Mixed Regression Trees, CART}, pages = {41--50}, publisher = {Springer International Publishing}, title = {{Least Squares Approach for Multivariate Split Selection in Regression Trees}}, doi = {10.1007/978-3-030-62362-3_5}, year = {2020}, } @inbook{1208, author = {Migenda, Nico and Möller, Ralf and Schenck, Wolfram}, booktitle = {Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I}, editor = {Yin, Hujun and Camacho, David and Tino, Peter and Tallón-Ballesteros, Antonio J. and Menezes, Ronaldo and Allmendinger, Richard}, isbn = {978-3-030-33606-6}, issn = {1611-3349}, pages = {76--84}, publisher = {Springer International Publishing}, title = {{Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”}}, doi = {10.1007/978-3-030-33607-3_9}, year = {2019}, } @inbook{1740, author = {Bäumer, Frederik and Geierhos, Michaela}, booktitle = {Natural Language Processing and Information Systems}, editor = {Silberztein, Max and Atigui, Faten and Kornyshova, Elena and Métais, Elisabeth and Meziane, Farid}, isbn = {978-3-319-91946-1}, issn = {1611-3349}, pages = {509--513}, publisher = {Springer International Publishing}, title = {{How to Deal with Inaccurate Service Descriptions in On-The-Fly Computing: Open Challenges}}, doi = {10.1007/978-3-319-91947-8_53}, year = {2018}, } @inbook{2372, author = {Nurgalieva, Leysan and Baez Gonzalez, Marcos and Fiore, Francesca and Casati, Fabio and Marchese, Maurizio}, booktitle = {Social Informatics. 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part II}, editor = {Staab, Steffen and Koltsova, Olessia and Ignatov, Dmitry I.}, isbn = {978-3-030-01158-1}, issn = {1611-3349}, pages = {234--242}, publisher = {Springer International Publishing}, title = {{Designing Healthcare Systems with an Emphasis on Relational Quality and Peace of Mind}}, doi = {10.1007/978-3-030-01159-8_22}, year = {2018}, } @inbook{1209, author = {Grünberg, Kevin and Schenck, Wolfram}, booktitle = {Cloud Computing – CLOUD 2018}, editor = {Luo, Min and Zhang, Liang-Jie}, isbn = {978-3-319-94294-0}, issn = {1611-3349}, pages = {398--406}, publisher = {Springer International Publishing}, title = {{A Case Study on Benchmarking IoT Cloud Services}}, doi = {10.1007/978-3-319-94295-7_28}, year = {2018}, } @inbook{2378, author = {Ibarra, Francisco and Baez Gonzalez, Marcos and Fiore, Francesca and Casati, Fabio}, booktitle = {Human-Computer Interaction – INTERACT 2017. 16th IFIP TC 13 International Conference, Mumbai, India, September 25–29, 2017, Proceedings, Part III}, editor = {Bernhaupt, Regina and Dalvi, Girish and Joshi, Anirudha and K. Balkrishan, Devanuj and O'Neill, Jacki and Winckler, Marco}, isbn = {978-3-319-67686-9}, issn = {1611-3349}, pages = {62--71}, publisher = {Springer International Publishing}, title = {{Stimulating Conversations in Residential Care Through Technology-Mediated Reminiscence}}, doi = {10.1007/978-3-319-67687-6_5}, year = {2017}, } @inbook{2380, author = {Caforio, Valentina and Baez Gonzalez, Marcos and Casati, Fabio}, booktitle = {Human-Computer Interaction – INTERACT 2017. 16th IFIP TC 13 International Conference, Mumbai, India, September 25–29, 2017, Proceedings, Part III}, editor = {Bernhaupt, Regina and Dalvi, Girish and Joshi, Anirudha and K. Balkrishan, Devanuj and O'Neill, Jacki and Winckler, Marco}, isbn = {978-3-319-67686-9}, issn = {1611-3349}, pages = {72--81}, publisher = {Springer International Publishing}, title = {{Viability of Magazines for Stimulating Social Interactions in Nursing Homes}}, doi = {10.1007/978-3-319-67687-6_6}, year = {2017}, } @inbook{1264, author = {Sprute, Dennis and Pörtner, Aljoscha and Rasch, Robin and Battermann, Sven and König, Matthias}, booktitle = {Enhanced Quality of Life and Smart Living}, editor = {Mokhtari, Mounir and Abdulrazak, Bessam and Aloulou, Hamdi}, isbn = {978-3-319-66187-2}, issn = {1611-3349}, pages = {112--123}, publisher = {Springer International Publishing}, title = {{Ambient Assisted Robot Object Search}}, doi = {10.1007/978-3-319-66188-9_10}, year = {2017}, }