Milos Kotlar
Orcid: 0000-0001-6459-0087
According to our database1,
Milos Kotlar
authored at least 11 papers
between 2018 and 2023.
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Bibliography
2023
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains.
J. Big Data, December, 2023
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems.
J. Big Data, 2023
2022
Chapter One - VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips.
Adv. Comput., 2022
Chapter Four - Energy efficient implementation of tensor operations using dataflow paradigm for machine learning.
Adv. Comput., 2022
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022
2021
Novel Meta-Features for Automated Machine Learning Model Selection in Anomaly Detection.
IEEE Access, 2021
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing.
Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021
2020
Chapter One - Teaching graduate students how to review research articles and respond to reviewer comments.
Adv. Comput., 2020
2019
Survey of deployment locations and underlying hardware architectures for contemporary deep neural networks.
Int. J. Distributed Sens. Networks, 2019
2018
Comparing Controlflow and Dataflow for Tensor Calculus: Speed, Power, Complexity, and MTBF.
Proceedings of the High Performance Computing, 2018