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Milos Kotlar
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2020 – today
- 2023
- [j7]Zoran Babovic
, Branislav Bajat
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 10(1): 73 (2023) - [j6]Zoran Babovic
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 10(1): 89 (2023) - 2022
- [j5]Veljko Milutinovic, Milos Kotlar, Jakob Salom, Sasa Stojanovic, Zivojin Sustran
Chapter One - VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips. Adv. Comput. 126: 1-14 (2022) - [j4]Milos Kotlar, Marija Punt
Chapter Four - Energy efficient implementation of tensor operations using dataflow paradigm for machine learning. Adv. Comput. 126: 151-199 (2022) - [c3]Nikos Papageorgopoulos
An Agri-Food Data Platform for Food Safety and Certification. CSCI 2022: 634-639 - 2021
- [j3]Milos Kotlar
Novel Meta-Features for Automated Machine Learning Model Selection in Anomaly Detection. IEEE Access 9: 89675-89687 (2021) - [c2]Veljko M. Milutinovic, Erfan Sadeqi Azer, Kristy Yoshimoto, Gerhard Klimeck, Miljan Djordjevic, Milos Kotlar, Miroslav Bojovic, Bozidar Miladinovic, Nenad Korolija
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chip, for Scientific Computing, Geo Physics, Complex Mathematics, and Information Processing. MECO 2021: 1-6 - 2020
- [j2]Milan Bankovic
Chapter One - Teaching graduate students how to review research articles and respond to reviewer comments. Adv. Comput. 116: 1-63 (2020) - [i1]Veljko Milutinovic, Milos Kotlar, Ivan Ratkovic, Nenad Korolija, Miljan Djordjevic, Kristy Yoshimoto, Erik Klem, Mateo Valero:
The Ultimate DataFlow for Ultimate SuperComputers-on-a-Chips. CoRR abs/2009.10593 (2020)
2010 – 2019
- 2019
- [j1]Milos Kotlar
Survey of deployment locations and underlying hardware architectures for contemporary deep neural networks. Int. J. Distributed Sens. Networks 15(8) (2019) - 2018
- [c1]Milos Kotlar
Comparing Controlflow and Dataflow for Tensor Calculus: Speed, Power, Complexity, and MTBF. ISC Workshops 2018: 329-346
Coauthor Index
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