Sotiris Kotsiantis is affiliated with the University of Patras in Greece and has contributed extensively to the field of Computer Science, with a primary focus on Artificial Intelligence. Their research spans multiple subfields, including Computer Science Applications, Management Science and Operations Research, Computer Vision and Pattern Recognition, and Signal Processing.
The scientist's work concentrates on various topics, prominently featuring Online Learning and Analytics, Machine Learning and Data Classification, and Imbalanced Data Classification Techniques. Other key research topics include Anomaly Detection Techniques and Applications, Stock Market Forecasting Methods, Machine Learning and Algorithms, and Data Stream Mining Techniques.
They have published in a range of academic venues, frequently contributing to journals such as Intelligent Decision Technologies, Electronics, Applied Sciences, Algorithms, and IEEE Access.
Among recent papers associated with Sotiris Kotsiantis are:
Sotiris Kotsiantis frequently collaborates with several co-authors including Georgios Kostopoulos, Charalampos M. Liapis, Aikaterini Karanikola, Vassilios S. Verykios, and Gregory Davrazos.
Sotiris B. Kotsiantis
Pantelis Linardatos;Vasilis Papastefanopoulos;Sotiris Kotsiantis
S. B. Kotsiantis;I. D. Zaharakis;P. E. Pintelas
S. B. Kotsiantis
Sotiris Kotsiantis;Dimitris Kanellopoulos;Panayiotis Pintelas
S. B. Kotsiantis;D. Kanellopoulos;P. E. Pintelas
Sotiris Kotsiantis;Dimitris Kanellopoulos
M. Ikonomakis;S. Kotsiantis;V. Tampakas
Sotiris Kotsiantis;Dimitris Kanellopoulos
Sotiris B. Kotsiantis;Christos Pierrakeas;Panayiotis E. Pintelas
Sotiris B. Kotsiantis;Christos Pierrakeas;Panayiotis E. Pintelas
S. B. Kotsiantis
S. Kotsiantis;K. Patriarcheas;M. Xenos
S. Kotsiantis;E. Koumanakos;D. Tzelepis;V. Tampakas
Stamatios-Aggelos N. Alexandropoulos;Sotiris B. Kotsiantis;Michael N. Vrahatis
S. B. Kotsiantis;P. E. Pintelas
Sotiris Kotsiantis
S. B. Kotsiantis;P. E. Pintelas
Georgios Kostopoulos;Stamatis Karlos;Sotiris Kotsiantis;Omiros Ragos
S.B. Kotsiantis;P.E. Pintelas
Maria Tsiakmaki;Georgios Kostopoulos;Sotiris Kotsiantis;Omiros Ragos
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens doors to a wide range of related online degree options and career pathways. Many students seek flexible learning formats, and an online bachelor's degree in physics is a great way to develop analytical and problem-solving skills that complement a computer science background.
Data science is another fast-growing field. Pursuing an affordable data science degree can prepare you for careers in AI, big data, and analytics—skills that are in high demand across industries.
Those interested in hardware, robotics, or circuit design may want to look at top online electrical engineering schools. These programs integrate both theory and hands-on labs to build expertise for technical roles.
Finally, if you are focused on entering the workforce quickly, consider obtaining easy certifications that pay well. Certifications in IT, networking, or cybersecurity can help boost your employability and earning potential in less time.
University of Alabama at Birmingham
University of Minnesota
University Hospital of Lausanne
King's College London
University of Amsterdam
University of Washington
Osaka University
University of Glasgow
University of Colorado Boulder
Cornell University
Imperial College London
Northumbria University
Balıkesir University
Georgia Institute of Technology
University of Geneva
University of Wisconsin–Madison
