logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
U

Ute Schmid

university of bamberg

25H指数
329论文数
2.2K被引数
收录论文 20
发表时间
logo
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma从潜在到清晰：使用KGEPrisma将知识图谱嵌入转化为可解释结构
errMachine Learning
IF2.9
err2026-05-25
err0
errOAAI
errChristoph Wehner; Chrysa Iliopoulou; Ute Schmid; Tarek R. Besold
err分享
err收藏
FMC-Net: A Human-Guided Deep Learning Framework for Adaptable and Transparent Facial Expression Recognition in Real-World ScenariosFMC-Net：一种面向真实场景下可适应且透明的面部表情识别的人引导深度学习框架
errApplied Intelligence
IF3.5
err2025-12-03
err0
errOAAI
errInes Rieger; Jaspar Pahl; Ute Schmid
err分享
err收藏
Aligning generalization between humans and machines实现人类与机器之间的泛化对齐
errNature Machine Intelligence
IF23.9
err2025-09-15
err0
PREAI
errFilip Ilievski; Barbara Hammer; Frank van Harmelen; Benjamin Paassen; Sascha Saralajew; Ute Schmid; Michael Biehl; Marianna Bolognesi; Xin Luna Dong; Kiril Gashteovski; Pascal Hitzler; Giuseppe Marra; Pasquale Minervini; Martin Mundt; Axel-Cyrille Ngonga Ngomo; Alessandro Oltramari; Gabriella Pasi; Zeynep G. Saribatur; Luciano Serafini; John Shawe-Taylor; Vered Shwartz; Gabriella Skitalinskaya; Clemens Stachl; Gido M. van de Ven; Thomas Villmann
err分享
err收藏
Why do women pursue a Ph.D. in Computer Science?为什么女性会追求计算机科学领域的博士学位？
errJournal of Systems and Software
IF4.1
err2025-08-25
err0
PREAI
errErika Ábrahám; Miguel Goulão; Milena Vujošević Janičić; Sarah Jane Delany; Amal Mersni; Oleksandra Yeremenko; Özge Büyükdağlı; Karima Boudaoud; Caroline Oehlhorn; Ute Schmid; Christina Büsing; Helen Bolke-Hermanns; Kaja Köhnle; Matilde Pato; Deniz Sunar Cerci; Larissa Schmid
err分享
err收藏
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis知识图谱增强的检索增强生成在失效模式与影响分析中的应用
errJOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
IF11.6
err2025-05-01
err0
errOAAI
errBahr, Lukas; Wehner, Christoph; Wewerka, Judith; Bittencourt, Jose; Schmid, Ute; Daub, Ruediger
err分享
err收藏
FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias ReductionFairCaipi: 解释性交互式和公平机器学习的结合，减少人类和机器的偏见
errMACHINE LEARNING AND KNOWLEDGE EXTRACTION
IF6
err2023-10-18
err3
errOAAI
errHeidrich, Louisa; Slany, Emanuel; Scheele, Stephan; Schmid, Ute; Cabitza, Federico; Chen, Fang; Zhou, Jianlong; Holzinger, Andreas
err分享
err收藏
Toward human-level concept learning: Pattern benchmarking for AI algorithms
errPATTERNS
IF7.4
err2023-08-01
err12
errOAAI
errHolzinger, Andreas; Saranti, Anna; Angerschmid, Alessa; Finzel, Bettina; Schmid, Ute; Mueller, Heimo
err分享
err收藏
ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge RepositoriesManuKnowVis: 如何在情境化和利用知识库方面支持不同的用户组
errIEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
IF6.5
err2023-08-01
err0
errOAAI
errEirich, Joscha; Jaeckle, Dominik; Sedlmair, Michael; Wehner, Christoph; Schmid, Ute; Bernard, Jurgen; Schreck, Tobias
err分享
err收藏
Explanatory machine learning for sequential human teaching用于顺序人类教学的解释性机器学习
errMACHINE LEARNING
IF2.9
err2023-06-28
err1
errOAAI
errAi, Lun; Langer, Johannes; Muggleton, Stephen H.; Schmid, Ute
err分享
err收藏
HiMLEdge - Energy-Aware Optimization for Hierarchical Machine Learning
errADVANCED RESEARCH IN TECHNOLOGIES, INFORMATION, INNOVATION AND SUSTAINABILITY, ARTIIS 2022, PT II
IF0
err2022-11-25
err0
PREAI
errWissing, Julio; Scheele, Stephan; Mohammed, Aliya; Kolossa, Dorothea; Schmid, Ute
err分享
err收藏
Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2022-11-23
err4
errOAAI
errGoebel, Kyra; Niessen, Cornelia; Seufert, Sebastian; Schmid, Ute
err分享
err收藏
Semantic Interactive Learning for Text Classification: A Constructive Approach for Contextual Interactions
errMACHINE LEARNING AND KNOWLEDGE EXTRACTION
IF6
err2022-11-13
err1
errOAAI
errKiefer, Sebastian; Hoffmann, Mareike; Schmid, Ute
err分享
err收藏
Generating contrastive explanations for inductive logic programming based on a near miss approach
errMACHINE LEARNING
IF2.9
err2021-09-24
err6
errOAAI
errRabold, Johannes; Siebers, Michael; Schmid, Ute
err分享
err收藏
Beneficial and harmful explanatory machine learning
errMACHINE LEARNING
IF2.9
err2021-03-11
err22
errOAAI
errAi, Lun; Muggleton, Stephen H.; Hocquette, Celine; Gromowski, Mark; Schmid, Ute
err分享
err收藏
The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions下一代医疗决策支持: 透明专家伙伴的路线图
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2020-09-24
err46
errOAAI
errBruckert, Sebastian; Finzel, Bettina; Schmid, Ute
err分享
err收藏
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
errMACHINE LEARNING
IF2.9
err2018-05-07
err64
errOAAI
errMuggleton, Stephen H.; Schmid, Ute; Zeller, Christina; Tamaddoni-Nezhad, Alireza; Besold, Tarek
err分享
err收藏
Problems of video-based pain detection in patients with dementia: a road map to an interdisciplinary solution
errBMC GERIATRICS
IF3.8
err2017-01-26
err19
errOAAI
errKunz, Miriam; Seuss, Dominik; Hassan, Teena; Garbas, Jens U.; Siebers, Michael; Schmid, Ute; Schoeberl, Michael; Lautenbacher, Stefan
err分享
err收藏
Computer models solving intelligence test problems: Progress and implications解决智力测试问题的计算机模型: 进展与启示
errartificial intelligence review
IF4.6
err2016-01-01
err38
errOAAI
errHernandez-Orallo, Jose; Martinez-Plumed, Fernando; Schmid, Ute; Siebers, Michael; Dowe, David L.
err分享
err收藏
Inductive Programming Meets the Real World
errCOMMUNICATIONS OF THE ACM
IF12.2
err2015-10-23
err91
errOAAI
errGulwani, Sumit; Hernandez-Orallo, Jose; Kitzelmann, Emanuel; Muggleton, Stephen H.; Schmid, Ute; Zorn, Benjamin
err分享
err收藏
An introduction to inductive programming归纳编程导论
errARTIFICIAL INTELLIGENCE REVIEW
IF13.9
err2009-07-09
err22
PREAI
errFlener, Pierre; Schmid, Ute
err分享
err收藏

研究方向

暂无研究方向
合作学者
合作期刊
A
Andreas Holzinger
H 指数: 79 · 论文数: 810
J
John Shawe‐Taylor
H 指数: 75 · 论文数: 649
F
Frank van Harmelen
H 指数: 64 · 论文数: 498
S
Sumit Gulwani
H 指数: 63 · 论文数: 336
S
Stefan Lautenbacher
H 指数: 58 · 论文数: 366
查看更多