Künstliche Intelligenz (KI)

Permanent URI for this communityhttps://dl.gi.de/handle/20.500.12116/6257

Authors with most Documents  

Visser, Ubbo
21
Ragni, Marco
13
Sonntag, Daniel
13
Richter, Kai-Florian
12
Beetz, Michael
11

Most Cited Items (h5index: 14, h5median: 26.5)

260
Measuring the Quality of Explanations: The System Causability Scale (SCS), KI - Künstliche Intelligenz: Vol. 34, No. 2 (2020)
183
Assessing the Attitude Towards Artificial Intelligence: Introduction of a Short Measure in German, Chinese, and English Language, KI - Künstliche Intelligenz: Vol. 35, No. 1 (2021)
101
A Differentiated Discussion About AI Education K-12, KI - Künstliche Intelligenz: Vol. 35, No. 2 (2021)
73
An Introduction to Hyperdimensional Computing for Robotics, KI - Künstliche Intelligenz: Vol. 33, No. 4 (2019)
61
Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory, KI - Künstliche Intelligenz: Vol. 33, No. 2 (2019)
57
Contextualizing AI Education for K-12 Students to Enhance Their Learning of AI Literacy Through Culturally Responsive Approaches, KI - Künstliche Intelligenz: Vol. 35, No. 2 (2021)
52
Industrial Applications of Answer Set Programming, KI - Künstliche Intelligenz: Vol. 32, No. 2-3 (2018)
50
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI, KI - Künstliche Intelligenz: Vol. 34, No. 1 (2020)

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  • Thomas Schneider, Mantas Šimkus (2020): Special Issue on Ontologies and Data Management: Part II, In: KI - Künstliche Intelligenz 4(34), doi:10.1007/s13218-020-00693-4
  • Leif Sabellek (2020): Ontology-Mediated Querying with Horn Description Logics, In: KI - Künstliche Intelligenz 4(34), doi:10.1007/s13218-020-00674-7
  • Ying Wang, Qin Jiang, Yilin Geng, Yuren Hu, Yue Tang, Jixiang Li, Junmei Zhang, Wolfgang Mayer, Shanmei Liu, Hong-Yu Zhang, Xianghua Yan, Zaiwen Feng (2023): SGMFQP: An ontology-based Swine Gut Microbiota Federated Query Platform, In: Methods, doi:10.1016/j.ymeth.2023.02.010
  • Udhaya Kumar Rajendran, Amir Ben Khalifa, Amine Trabelsi (2023): Learning Representations through Contrastive Strategies for a more Robust Stance Detection, In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), doi:10.1109/dsaa60987.2023.10302466
  • Katarina Boland, Pavlos Fafalios, Andon Tchechmedjiev, Stefan Dietze, Konstantin Todorov (2022): Beyond facts – a survey and conceptualisation of claims in online discourse analysis, In: Semantic Web 5(13), doi:10.3233/sw-212838
  • Daniel Hershcovich, Lucia Donatelli (2021): It’s the Meaning That Counts: The State of the Art in NLP and Semantics, In: KI - Künstliche Intelligenz 3-4(35), doi:10.1007/s13218-021-00726-6
  • Fahd Alqasemi, Hamdi Al-Baadani, Mohammed A. Al-Hagery (2022): Stance Detection using Two Popular Benchmarks: A Survey, In: 2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA), doi:10.1109/esmarta56775.2022.9935138
  • Salvador Contreras Hernández, María Patricia Tzili Cruz, José Martín Espínola Sánchez, Angélica Pérez Tzili (2023): Deep Learning Model for COVID-19 Sentiment Analysis on Twitter, In: New Generation Computing 2(41), doi:10.1007/s00354-023-00209-2
  • Daniel Hershcovich, Lucia Donatelli (2021): Special Issue on NLP & Semantics, In: KI - Künstliche Intelligenz 3-4(35), doi:10.1007/s13218-021-00728-4
  • Vy Nguyen, Xiuzhen Zhang, Andrew M. Colarik (2023): A Research Pathway for Stance Detection in Speech, In: 2023 Global Conference on Information Technologies and Communications (GCITC), doi:10.1109/gcitc60406.2023.10659745
  • Sonal Garg, Dilip Kumar Sharma (2022): Role of ELMo Embedding in Detecting Fake News on Social Media, In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), doi:10.1109/smart55829.2022.10046789
  • Sakhi Khare, Pushpa Singh, Pankaj Kumar (2024): LSTM Based Approach to Detect Fake News, In: 2024 2nd International Conference on Disruptive Technologies (ICDT), doi:10.1109/icdt61202.2024.10488933
  • Avinash Chandra Pandey, Vinay Anand Tikkiwal (2021): Stance detection using improved whale optimization algorithm, In: Complex & Intelligent Systems 3(7), doi:10.1007/s40747-021-00294-0
  • Irina Nikishina, Alexander Bondarenko, Sebastian Zaczek, Onno Lander Haag, Matthias Hagen, Chris Biemann (2024): Extending the Comparative Argumentative Machine: Multilingualism and Stance Detection, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-63536-6_19
  • Marwan Omar, Soohyeon Choi, Daehun Nyang, David Mohaisen (2022): Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions, In: IEEE Access, doi:10.1109/access.2022.3197769
  • Motasem Alrahabi, Carmen Brando, Muhamed AlKhalil, Joseph Dichy (2021): Paris dans les récits de voyage d’écrivains arabes : repérage, analyse sémantique et cartographie de toponymes, In: Humanités numériques 3, doi:10.4000/revuehn.1079
  • Qingying Sun, Xuefeng Xi, Jiajun Sun, Zhongqing Wang, Huiyan Xu (2022): Stance Detection with a Multi-Target Adversarial Attention Network, In: ACM Transactions on Asian and Low-Resource Language Information Processing 2(22), doi:10.1145/3544490
  • Nora Alturayeif, Hamzah Luqman, Moataz Ahmed (2023): A systematic review of machine learning techniques for stance detection and its applications, In: Neural Computing and Applications 7(35), doi:10.1007/s00521-023-08285-7
  • Reema Khaled AlRowais, Duaa Alsaeed (2023): Arabic stance detection of COVID-19 vaccination using transformer-based approaches: a comparison study, In: Arab Gulf Journal of Scientific Research 4(42), doi:10.1108/agjsr-01-2023-0001
  • Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins (2023): Argumentation models and their use in corpus annotation: Practice, prospects, and challenges, In: Natural Language Engineering 4(29), doi:10.1017/s1351324923000062
  • Rudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. Ng (2024): Stance Detection with Explanations, In: Computational Linguistics 1(50), doi:10.1162/coli_a_00501
  • Ronald Denaux, Jose Manuel Gomez-Perez (2020): Linked Credibility Reviews for Explainable Misinformation Detection, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-62419-4_9
  • Hao Li, Wu Yang, Wei Wang, Huanran Wang (2024): Neural network approaches for rumor stance detection: Simulating complex rumor propagation systems, In: Concurrency and Computation: Practice and Experience 16(36), doi:10.1002/cpe.8093
  • Maud Reveilhac, Gerold Schneider (2023): Replicable semi-supervised approaches to state-of-the-art stance detection of tweets, In: Information Processing & Management 2(60), doi:10.1016/j.ipm.2022.103199
  • Christina Viehmann, Tilman Beck, Marcus Maurer, Oliver Quiring, Iryna Gurevych (2022): Investigating Opinions on Public Policies in Digital Media: Setting up a Supervised Machine Learning Tool for Stance Classification, In: Communication Methods and Measures 2(17), doi:10.1080/19312458.2022.2151579
  • Shaokang Wang, Fuhui Sun, Xiaoyan Wang, Li Pan (2024): Incorporating target-aware knowledge into prompt-tuning for few-shot stance detection, In: Information Processing & Management 5(61), doi:10.1016/j.ipm.2024.103815
  • Alaa Alhamzeh, Előd Egyed-Zsigmond, Dorra El Mekki, Abderrazzak El Khayari, Jelena Mitrović, Lionel Brunie, Harald Kosch (2022): Empirical Study of the Model Generalization for Argument Mining in Cross-Domain and Cross-Topic Settings, In: Lecture Notes in Computer Science, doi:10.1007/978-3-662-66146-8_5
  • Yupeng Li, Haorui He, Shaonan Wang, Francis C. M. Lau, Yunya Song (2023): Improved Target-Specific Stance Detection on Social Media Platforms by Delving Into Conversation Threads, In: IEEE Transactions on Computational Social Systems 6(10), doi:10.1109/tcss.2023.3320723
  • Thibault Gateau, Sophia Salas Cordero, Rob Vingerhoeds (2025): Hierarchical Planning Applied to the Preliminary Design of CubeSats: Nanospace Study, In: Systems Engineering 3(28), doi:10.1002/sys.21803
  • Ilche Georgievski (2023): Towards Engineering AI Planning Functionalities as Services, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-26507-5_18
  • Ilche Georgievski (2023): PlanX: A Toolbox for Building and Integrating AI Planning Systems, In: 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE), doi:10.1109/sose58276.2023.00022
  • Prakash Jamakatel, Jane Jean Kiam (2024): A System Level Overview of FRICO — A Single-Pilot Cockpit Assistance System, In: 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS), doi:10.1109/ichms59971.2024.10555780
  • Edina Tárkányi, Richárd Németh (2025): A mesterséges intelligencia szerepe a social engineering támadások megelőzésében, In: Belügyi Szemle 8(73), doi:10.38146/bsz-ajia.2025.v73.i8.pp1579-1597
  • Ilche Georgievski, Akash V. Palghadmal, Ebaa Alnazer, Marco Aiello (2024): SH: Service-oriented system for HTN planning in real-world domains, In: SoftwareX, doi:10.1016/j.softx.2024.101779
  • Shermin Sherkat, Thomas Wortmann, Andreas Wortmann (2025): Two Decades of Automated AI Planning Methods in Construction and Fabrication: a Systematic Review, In: ACM Computing Surveys 11(57), doi:10.1145/3729529
  • Sarah Hamburg, Alejandro Jimenez Rodriguez, Aung Htet, Alessandro Di Nuovo (2024): Active Inference for Learning and Development in Embodied Neuromorphic Agents, In: Entropy 7(26), doi:10.3390/e26070582
  • Vanessa Lux (2024): The Neuron and the Psyche, In: SpringerBriefs in Psychology, doi:10.1007/978-3-031-55229-8_6
Please note: Providing information about citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. These lists may be incomplete due to unavailable citation data.source: opencitations.net, crossref.org