Andreas Paepcke is affiliated with Stanford University in the United States and conducts research primarily in the field of Computer Science. Their work spans several subfields, including Computer Science Applications, Developmental Biology, Signal Processing, Statistics and Probability, and Artificial Intelligence.
The main topics addressed in Paepcke's research include:
Paepcke has contributed to several recent publications, including:
Frequent publication venues for their work include:
Paepcke has collaborated often with the following coauthors:
The research scope of Paepcke includes interdisciplinary approaches that combine machine learning, acoustic signal processing, and behavioral studies, particularly focused on wildlife monitoring and educational analytics. This multidisciplinary engagement is reflected in the diversity of publication venues and topics covered.
Arvind Arasu;Junghoo Cho;Hector Garcia-Molina;Andreas Paepcke
Sean Kandel;Andreas Paepcke;Joseph Hellerstein;Jeffrey Heer
Adrian Graham;Hector Garcia-Molina;Andreas Paepcke;Terry Winograd
S. Kandel;A. Paepcke;J. M. Hellerstein;J. Heer
Michelle Baldonado;Chen Chuan K. Chang;Luis Gravano;Andreas Paepcke
Orkut Buyukkokten;Hector Garcia-Molina;Andreas Paepcke;Terry Winograd
Orkut Buyukkokten;Hector Garcia-Molina;Andreas Paepcke
Meredith Ringel Morris;Anqi Huang;Andreas Paepcke;Terry Winograd
Mor Naaman;Yee Jiun Song;Andreas Paepcke;Hector Garcia-Molina
Ron Yeh;Chunyuan Liao;Scott Klemmer;François Guimbretière
Luis Gravano;Chen-Chuan K. Chang;Héctor García-Molina;Andreas Paepcke
Jun Hirai;Sriram Raghavan;Hector Garcia-Molina;Andreas Paepcke
Sean Kandel;Ravi Parikh;Andreas Paepcke;Joseph M. Hellerstein
Manu Kumar;Andreas Paepcke;Terry Winograd
Andreas Paepcke;Chen-Chuan K. Chang;Terry Winograd;Héctor García-Molina
Martin Theobald;Jonathan Siddharth;Andreas Paepcke
Mor Naaman;Susumu Harada;QianYing Wang;Hector Garcia-Molina
Orkut Buyukkokten;Hector Garcia-Molina;Andreas Paepcke
Orkut Buyukkokten;Oliver Kaljuvee;Hector Garcia-Molina;Andreas Paepcke
Mor Naaman;Ron B. Yeh;Hector Garcia-Molina;Andreas Paepcke
If you think any of the details on this page are incorrect, let us know.
Exploring diverse online education options can enhance your career prospects in Computer Science. For students interested in leadership and management roles, pursuing affordable online MBA programs is a practical route to combine technical expertise with business acumen.
If you’re looking to advance your education quickly, consider the best one year masters programs available online. These accelerated options allow you to gain specialized knowledge and credentials in less time, helping you move faster into the workforce or higher-level roles.
Career-minded students might be attracted to quick degrees that pay well. These programs can provide rapid entry into high-demand, lucrative tech fields, perfect for those eager to start their careers or make a career switch.
With the rise of artificial intelligence, enrolling in ai degrees online can offer a future-proof career path. These programs are designed to equip you with in-demand skills for AI-driven industries—all through flexible and affordable online study.
Purdue University West Lafayette
Sapienza University of Rome
University of Pisa
Johns Hopkins University
Yale University
German Aerospace Center
National Institutes of Health
University of Colorado Boulder
University of Turin
Babol Noshirvani University of Technology
Hanyang University
ICE Mortgage Technology
Erciyes University
Institució Catalana de Recerca i Estudis Avançats
University of North Carolina at Chapel Hill
Durham University
