TY - CONF AU - Koravuna, Shamini AU - Sanaullah, Sanaullah AU - Jungeblut, Thorsten AU - Rückert, Ulrich ED - Rojas, Ignacio ED - Joya, Gonzalo ED - Catala, Andreu ID - 4208 SN - 0302-9743 T2 - Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I TI - Digit Recognition Using Spiking Neural Networks on FPGA ER - TY - CONF AU - Stecker, Benjamin AU - Brandt-Pook, Hans ED - Rutkowski, Leszek ED - Scherer, Rafał ED - Korytkowski, Marcin ED - Pedrycz, Witold ED - Tadeusiewicz, Ryszard ED - Zurada, Jacek M. ID - 3622 SN - 0302-9743 T2 - Artificial Intelligence and Soft Computing. 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18–22, 2023, Proceedings, Part II TI - Application of Object Detection Models for the Detection of Kitchen Furniture - A Comparison ER - TY - CONF AU - Voigt, Tim AU - Schöne, Marvin AU - Kohlhase, Martin AU - Nelles, Oliver AU - Kuhn, Martin ED - Yin, Hujun ED - Camacho, David ED - Tino, Peter ID - 2232 SN - 0302-9743 T2 - Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings TI - Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes ER - TY - CONF AB - 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. AU - Vieth, Markus AU - Grimmelsmann, Nils AU - Schneider, Axel AU - Hammer, Barbara ED - Yin, Hujun ED - Camacho, David ED - Tino, Peter ID - 3050 SN - 0302-9743 T2 - Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings TI - Efficient Sensor Selection for Individualized Prediction Based on Biosignals VL - 13756 ER - TY - CHAP AB - 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. AU - Badami, Maisie AU - Benatallah, Boualem AU - Baez Gonzalez, Marcos ED - Franch, Xavier ED - Poels, Geert ED - Gailly, Frederik ED - Snoeck, Monique ID - 2483 SN - 0302-9743 T2 - Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings TI - Systematic Literature Review Search Query Refinement Pipeline: Incremental Enrichment and Adaptation ER - TY - CHAP AU - Baez Gonzalez, Marcos AU - Cappiello, Cinzia AU - Cutrupi, Claudia M. AU - Matera, Maristella AU - Possaghi, Isabella AU - Pucci, Emanuele AU - Spadone, Gianluca AU - Pasquale, Antonella ED - Di Noia, Tommaso ED - Ko, In-Young ED - Schedl, Markus ED - Ardito, Carmelo ID - 2481 SN - 0302-9743 T2 - Web Engineering. 22nd International Conference, ICWE 2022, Bari, Italy, July 5–8, 2022, Proceedings TI - Supporting Natural Language Interaction with the Web ER - TY - CHAP AU - Bouguelia, Sara AU - Brabra, Hayet AU - Benatallah, Boualem AU - Baez Gonzalez, Marcos AU - Zamanirad, Shayan AU - Kheddouci, Hamamache ED - Franch, Xavier ED - Poels, Geert ED - Gailly, Frederik ED - Snoeck, Monique ID - 2480 SN - 0302-9743 T2 - Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings TI - Context Knowledge-Aware Recognition of Composite Intents in Task-Oriented Human-Bot Conversations ER - TY - CHAP AU - Ramírez, Jorge AU - Baez Gonzalez, Marcos AU - Berro, Auday AU - Benatallah, Boualem AU - Casati, Fabio ED - Franch, Xavier ED - Poels, Geert ED - Gailly, Frederik ED - Snoeck, Monique ID - 2479 SN - 0302-9743 T2 - Advanced Information Systems Engineering. 34th International Conference, CAiSE 2022, Leuven, Belgium, June 6–10, 2022, Proceedings TI - Crowdsourcing Syntactically Diverse Paraphrases with Diversity-Aware Prompts and Workflows ER - TY - CHAP AB - 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. AU - Bouguelia, Sara AU - Berro, Auday AU - Benatallah, Boualem AU - Baez Gonzalez, Marcos AU - Brabra, Hayet AU - Zamanirad, Shayan AU - Kheddouci, Hamamache ED - Troya, Javier ED - Medjahed, Brahim ED - Piattini, Mario ED - Yao, Lina ED - Fernández, Pablo ED - Ruiz-Cortés, Antonio ID - 2401 SN - 0302-9743 T2 - Service-Oriented Computing. 20th International Conference, ICSOC 2022, Seville, Spain, November 29 – December 2, 2022, Proceedings TI - Process-Oriented Intents: A Cornerstone for Superimposition of Natural Language Conversations over Composite Services ER - TY - CONF AU - Ostrau, Christoph AU - Homburg, Jonas AU - Klarhorst, Christian AU - Thies, Michael AU - Rückert, Ulrich ED - Farkaš, Igor ED - Masulli, Paolo ED - Wermter, Stefan ID - 2668 SN - 0302-9743 T2 - Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II TI - Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware ER -