Milos Kotlar

Orcid: 0000-0001-6459-0087

According to our database1, Milos Kotlar authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

An Agri-Food Data Platform for Food Safety and Certification.
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
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chips.
CoRR, 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


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