Artificial Intelligence - When Do Machines Take Over?
Klaus Mainzer
Data Analytics
Thomas A. Runkler
Artificial Intelligence and Machine Learning With R
Bernd Heesen
Object-Process Methodology
Dov Dori
Computational Geometry
Mark de Berg
Adaptive Business Intelligence
Zbigniew Michalewicz
High Performance Computing in Science and Engineering 2002
S. Wagner
Explainable and Interpretable Models in Computer Vision and Machine Learning
Hugo Jair Escalante
Applied Probability
Valérie Girardin
Kronecker Modeling and Analysis of Multidimensional Markovian Systems
Tugrul Dayar
Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity
Joe Lorkowski
Measuring the Data Universe
Reinhold Stahl
Compressed Sensing and Its Applications
Holger Boche
Differential Privacy and Applications
Tianqing Zhu
Eye Tracking Methodology
Andrew T. Duchowski
The Data Science Design Manual
Steven S. Skiena
Lectures on Matrix Field Theory
Badis Ydri
Algorithms For Data Science
Brian Steele
Automation, Communication and Cybernetics in Science and Engineering 2015/2016
Sabina Jeschke
Designing With Xilinx FPGAs
Sanjay Churiwala
