Suchergebnisse - "Ute Schmid"

Explanatory machine learning for sequential human teaching

Autoren: Lun Ai Johannes Langer Stephen H. Muggleton et al.

Quelle: Machine Learning

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 4. Education, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, 02 engineering and technology, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2205.10250

Aligning generalization between humans and machines.

Autoren: Ilievski, Filip Hammer, Barbara van Harmelen, Frank et al.

Quelle: Nature Machine Intelligence; Sep2025, Vol. 7 Issue 9, p1378-1389, 12p

Explainable Artificial Intelligence

Autoren: Riccardo Guidotti Ute Schmid Luca Longo

Resource Type: eBook.

Categories: COMPUTERS / Artificial Intelligence / General

Explanatory machine learning for sequential human teaching.

Autoren: Ai, Lun Langer, Johannes Muggleton, Stephen H. et al.

Quelle: Machine Learning; Oct2023, Vol. 112 Issue 10, p3591-3632, 42p

Schlagwörter: SEQUENTIAL learning, LEARNING, MACHINE learning, LOGIC programming, INDUCTION (Logic)

Explainable AI.

Autoren: Schmid, Ute Wrede, Britta

Quelle: KI: Künstliche Intelligenz; Dec2022, Vol. 36 Issue 3/4, p207-210, 4p

You Need the AI Community—and the AI Community Needs You!

Autoren: Ute Schmid

Quelle: KI - Künstliche Intelligenz. 29:239-241

Schlagwörter: 2. Zero hunger, 0209 industrial biotechnology, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/content/pdf/10.1007%2Fs13218-015-0378-8.pdf
https://link.springer.com/article/10.1007%2Fs13218-015-0378-8
https://link.springer.com/content/pdf/10.1007%2Fs13218-015-0378-8.pdf
https://dblp.uni-trier.de/db/journals/ki/ki29.html#Schmid15
https://paperity.org/p/73213623/you-need-the-ai-community-and-the-ai-community-needs-you

Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können. (German)

Autoren: Losch, Daniel Jaschke, Steffen Michaeli, Tilman et al.

Quelle: Informatik Spektrum; Apr2025, Vol. 48 Issue 1, p38-46, 9p

BAMFORESTS: Bamberg Benchmark Forest Dataset of Individual Tree Crowns in Very-High-Resolution UAV Images.

Autoren: Troles, Jonas Schmid, Ute Fan, Wen et al.

Quelle: Remote Sensing; Jun2024, Vol. 16 Issue 11, p1935, 12p

Schlagwörter: CROWNS (Botany), ARTIFICIAL neural networks, CLIMATE change, DIGITAL elevation models, COMPUTER vision, DRONE aircraft

Toward trustworthy AI with integrative explainable AI frameworks.

Autoren: Finzel, Bettina

Quelle: IT: Information Technology; Feb2025, Vol. 67 Issue 1, p20-45, 26p

Schlagwörter: TRUST, ARTIFICIAL intelligence, LAW enforcement, GENERALIZATION

IS PRIVACY REALLY A CIVIL RIGHT?

Autoren: Allen, Anita L. Muhawe, Christopher

Quelle: Berkeley Technology Law Journal; 2025, Vol. 40 Issue 1, p1-74, 74p

Schlagwörter: PRIVACY, CIVIL rights, DISCRIMINATION (Sociology), SOCIAL justice, VIDEO surveillance, LEGAL remedies, DATA protection laws

Geografische Kategorien: UNITED States

Empfehlungen für ethisch verantwortungsvolles ärztliches Handeln bei Verwendung von Künstlicher Intelligenz (KI). (German)

Alternate Title: Recommendations for ethically responsible medical behavior when using artificial intelligence (AI). (English)

Autoren: Niedermayr, Monika

Quelle: Journal für Medizin- und Gesundheitsrecht (JMG); dez2023, Vol. 8 Issue 4, p409-413, 5p

Schlagwörter: ARTIFICIAL intelligence in medicine, CHATBOTS, MEDICAL ethics, DATA protection, MEDICAL care, CANCER diagnosis, ARTIFICIAL intelligence, CANCER treatment

Geografische Kategorien: GERMANY

Edge Artificial Intelligence-Based Facial Pain Recognition During Myocardial Infarction.

Autoren: Mohan, H M Kumara, H C Shivaraj Mallikarjun, S H et al.

Quelle: Journal of Automation, Mobile Robotics & Intelligent Systems; Aug2022, Vol. 16 Issue 3, p40-55, 16p

Schlagwörter: ARTIFICIAL intelligence, FACIAL pain, MYOCARDIAL infarction, CONVOLUTIONAL neural networks, FACIAL expression

Firma/Körperschaft: NVIDIA Corp.

THE GRAPES OF ROTH.

Autoren: Boyden, Bruce E.

Quelle: Washington Law Review; Dec2024, Vol. 99 Issue 4, p1093-1164, 72p

Schlagwörter: JUDGES, DISPUTE resolution, JUDICIAL discretion, SUMMARY judgments, FEDERAL judges

Adapting Neural Networks at Runtime: Current Trends in At-Runtime Optimizations for Deep Learning.

Autoren: Sponner, Max Waschneck, Bernd Kumar, Akash

Quelle: ACM Computing Surveys; Oct2024, Vol. 56 Issue 10, p1-40, 40p

Schlagwörter: ARTIFICIAL neural networks, PATTERN recognition systems, REINFORCEMENT learning, DEEP reinforcement learning, CONVOLUTIONAL neural networks, DEEP learning

Traditional and Modern Methods for Web and Media Analysis and Design: A Comparative Study.

Autoren: Abah, Roseline Toyin Nonyelum, Ogwueleka Francisca

Quelle: IUP Journal of Computer Sciences; Oct2024, Vol. 18 Issue 4, p69-87, 19p

Schlagwörter: DIGITAL transformation, TECHNOLOGICAL innovations, RESEARCH personnel, USER experience, COMPARATIVE studies

Explainable and interpretable machine learning and data mining.

Autoren: Atzmueller, Martin Fürnkranz, Johannes Kliegr, Tomáš et al.

Quelle: Data Mining & Knowledge Discovery; Sep2024, Vol. 38 Issue 5, p2571-2595, 25p

Schlagwörter: MACHINE learning, ARTIFICIAL intelligence, DATA mining, BLENDED learning, AGRICULTURE

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts.

Autoren: Schwalbe, Gesina Finzel, Bettina

Quelle: Data Mining & Knowledge Discovery; Sep2024, Vol. 38 Issue 5, p3043-3101, 59p

Schlagwörter: ARTIFICIAL intelligence, RESEARCH personnel, TAXONOMY, TERMS & phrases, MOTIVATION (Psychology)

Confidence Prediction Based on Uncertain Knowledge Graph Structure Embedding.

Autoren: Li, Tongxin Li, Xiaobo Wang, Fei et al.

Quelle: Journal of Physics: Conference Series; 2024, Vol. 2833 Issue 1, p1-8, 8p

ChatGPT-3.5 im Hochschul-E-Assessment: Prüfungsleistung, akademische Integrität und zukünftige Bewertungsansätze. (German)

Autoren: Moebert, Tobias Samoilova, Evgenia Wiepke, Axel

Quelle: Informatik Spektrum; Aug2024, Vol. 47 Issue 3, p105-112, 8p

Schlagwörter: LANGUAGE models, CHATGPT, HIGHER education exams, HIGHER education

One or Nothing: Anti-unification over the Simply-Typed Lambda Calculus.

Autoren: Cerna, David M. Buran, Michal

Quelle: ACM Transactions on Computational Logic; Jul2024, Vol. 25 Issue 3, p1-12, 12p

Schlagwörter: LAMBDA calculus, GENERALIZATION, ARGUMENT, ALGORITHMS