KI - Künstliche Intelligenz

Permanent URI for this communityhttps://dl.gi.de/handle/20.500.12116/11025

The Scientific journal "KI – Künstliche Intelligenz" is the official journal of the division for artificial intelligence within the "Gesellschaft für Informatik e.V." (GI) – the German Informatics Society – with contributions from throughout the field of artificial intelligence. The journal presents all relevant aspects of artificial intelligence – the fundamentals and tools, their use and adaptation for scientific purposes, and applications which are implemented using AI methods – and thus provides the reader with the latest developments in and well-founded background information on all relevant aspects of artificial intelligence. For all members of the AI community the journal provides quick access to current topics in the field and promotes vital interdisciplinary interchange.

Authors with most Documents  

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

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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