Sebastian Thrun
Biographic Data
| ID | 3443441 |
|---|---|
| NAME | Sebastian Thrun |
| GIVEN NAMES | Sebastian |
| FAMILY NAME | Thrun |
| SIGNATURE | THRUN S |
| AFFILIATIONS | Stanford University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 33 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
A guide to deep learning in healthcare
Dermatologist-level classification of skin cancer with deep neural networks
Toward a Framework for Human-Robot Interaction
The goal of this article is to introduce the reader to the rich and vibrant field of robotics, in hopes of laying out an agenda for future research on human robot interaction. Robotics is a field in change; the meaning of the term “robot ” today differs substantially from the term just a decade ago. The primary purpose of this article is to provide a comprehen-sive description of past and present-day robotics. It identifies the major epochs of ro…
Toward a Framework for Human-Robot Interaction
The goal of this article is to introduce the reader to the rich and vibrant field of robotics, in hopes of laying out an agenda for future research on human robot interaction. Robotics is a field in change; the meaning of the term “robot ” today differs substantially from the term just a decade ago. The primary purpose of this article is to provide a comprehen-sive description of past and present-day robotics. It identifies the major epochs of ro…
Toward a Framework for Human-Robot Interaction
The goal of this article is to introduce the reader to the rich and vibrant field of robotics, in hopes of laying out an agenda for future research on human robot interaction. Robotics is a field in change; the meaning of the term “robot ” today differs substantially from the term just a decade ago. The primary purpose of this article is to provide a comprehen-sive description of past and present-day robotics. It identifies the major epochs of ro…
Dermatologist-level classification of skin cancer with deep neural networks
A guide to deep learning in healthcare
Computer Science (3 works) · Artificial Intelligence (2 works) · Deep learning (2 works) · Human–computer interaction (2 works) · AI in cancer detection (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Biopsy (1 works) · Cancer (1 works) · Context (archaeology) (1 works)