( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving.

, , , и . IV, стр. 231-237. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Daniel

Daniel

Daniel Stanze

Systematische Analyse von Rezeptoren und Effektormechanismen der pulmonalen angeborenen Immunität. Uni Marburg, (2009)

Daniel Wied

Zivilprozessuale Qualifikationsprobleme im Spannungsfeld von Vertrag und Delikt: ein Beitrag zur Auslegung nationalen Zivilprozessrechts in europäischer Perspektive. Uni Regensburg, (2009)

Daniel Dirkmann

In-vitro-Untersuchungen zum Effekt von Hypothermie und Azidose auf Variablen thrombelastometrischer Messungen der Blutgerinnung. Uni Duisburg-Essen, (2009)
 

Другие публикации лиц с тем же именем

Deep Convolutional Neural Network for Plant Seedlings Classification., , и . CoRR, (2018)Explanations in Autonomous Driving: A Survey., , , и . IEEE Trans. Intell. Transp. Syst., 23 (8): 10142-10162 (2022)Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving., , , , и . ARSO, стр. 194-199. IEEE, (2021)Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal., и . CoRR, (2018)Context-based image explanations for deep neural networks., , и . Image Vis. Comput., (2021)From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions., , , , и . IV, стр. 1040-1047. IEEE, (2022)Towards Explainable and Trustworthy Autonomous Physical Systems., , , , , и . CHI Extended Abstracts, стр. 88:1-88:3. ACM, (2021)Fairness and Transparency in Human-Robot Interaction., , , , , , и . HRI, стр. 1244-1246. IEEE / ACM, (2022)Learning Run-time Safety Monitors for Machine Learning Components., , , , , , и . CoRR, (2024)A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models.. CoRR, (2019)