Peter A. Flach is affiliated with the University of Bristol in the United Kingdom. Their research primarily focuses on the field of Computer Science, with significant contributions in Artificial Intelligence and related subfields.
The scientist's work spans several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management, Signal Processing, and Surgery. Their research topics cover Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, Anomaly Detection Techniques and Applications, Context-Aware Activity Recognition Systems, Data Stream Mining Techniques, and Scientific Computing and Data Management.
Frequent coauthors collaborating with Peter A. Flach include Raúl Santos-Rodríguez, Kacper Sokol, Miquel Perelló-Nieto, Taku Yamagata, and Emma L. Tonkin.
They have published extensively in several venues. The most frequent publication venues include arXiv (Cornell University), which accounts for 19 publications, Machine Learning with 2 publications, as well as venues such as Zenodo (CERN European Organization for Nuclear Research), KI - Künstliche Intelligenz, and the IEEE Journal of Biomedical and Health Informatics.
Notable recent papers authored or coauthored by Peter A. Flach are:
Peter A Flach;Meelis Kull
Peter Flach
Tarek Abudawood;Peter Flach
Thomas Gärtner;Thomas Gärtner;Peter A. Flach;Stefan Wrobel
Thomas Gärtner;Peter A. Flach;Adam Kowalczyk;Alex J. Smola
Nada Lavrac;Peter A. Flach;Blaz Zupan
Nada Lavrač;Branko Kavšek;Peter Flach;Ljupčo Todorovski
Rafael Poyiadzi;Kacper Sokol;Raul Santos-Rodriguez;Tijl De Bie
Peter A. Flach;Antonis C. Kakas
José Hernández-Orallo;Peter A Flach;Cesar Ferri
Stefan Kramer;Nada Lavrač;Peter Flach
César Ferri;Peter A. Flach;José Hernández-Orallo
Fernando Martinez-Plumed;Lidia Contreras-Ochando;Cesar Ferri;Jose Hernandez-Orallo
Peter A. Flach
Yu Chen;Tom Diethe;Peter A Flach
Peter A. Flach;Meelis Kull
Johannes Fürnkranz;Peter A. Flach
Peter A Flach;Antonis C Kakas
Ni Zhu;Tom Diethe;Massimo Camplani;Lili Tao
Meelis Kull;Telmo De Menezes E Silva Filho;Peter A Flach
Yonghong Peng;Peter A. Flach;Carlos Soares;Pavel Brazdil
Luc De Raedt;Peter Flach
Meelis Kull;Miquel Perello Nieto;Markus Kängsepp;Telmo Silva Filho
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA often leads students to consider flexible online study options. Many learners begin their journey with an online associates degree, which provides foundational skills and a quicker pathway to entry-level tech roles.
For those interested in management or entrepreneurship within tech, a business administration degree online cost analysis is essential. Understanding tuition and available financial aid helps students make informed decisions that align with their budget and career plans.
Cost is a significant factor in selecting any online program. Many aspiring computer scientists look for cheap online colleges to gain quality education without incurring large amounts of debt.
Additionally, students with an interest in hardware, software, or systems design may explore engineering online programs. These programs offer specialized tracks that open doors to diverse and high-demand tech careers.
University of Arizona
Williams College
Purdue University West Lafayette
University of Milan
University of South Alabama
Nanjing Agricultural University
GEOMAR Helmholtz Centre for Ocean Research Kiel
University of Melbourne
University of Brasília
Tokyo Institute of Technology
Suranaree University of Technology
European University Institute
Boston University
Cornell University
French Institute for Research in Computer Science and Automation - INRIA
State University of Campinas