18 citations
- University of OsloNO4 papers
- Norwegian University of Science and TechnologyNO2 papers
- OsloMet – Oslo Metropolitan UniversityNO2 papers
- Gran Sasso Science InstituteIT1 paper
- Indian Institute of Technology KharagpurIN1 paper
- Indian Institute of Technology RoorkeeIN1 paper
- Indian Statistical InstituteIN1 paper
- Institute for Nuclear ResearchRU1 paper
- National Institute of Chemical Physics and BiophysicsEE1 paper
- Simula Metropolitan Center for Digital EngineeringNO1 paper
- SINTEFNO1 paper
- UiT The Arctic University of NorwayNO1 paper
16 papers
Characterizing Role Models in Software Practitioners' Career: An Interview Study
Mary Sánchez-Gordón, Ricardo Colomo-Palacios, Alex Sanchez Gordon
A role model is a person who serves as an example for others to follow, especially in terms of values, behavior, achievements, and personal characteristics. In this paper, authors…
Optimization of a Hydrodynamic Computational Reservoir through Evolution
Alessandro Pierro, Kristine Heiney, Shamit Shrivastava +2
As demand for computational resources reaches unprecedented levels, research is expanding into the use of complex material substrates for computing. In this study, we interface wit…
Assessing the robustness of critical behavior in stochastic cellular automata
Sidney Pontes-Filho, Pedro Lind, Stefano Nichele
There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, w…
Hochschild Cohomology, Monoid Objects and Monoidal Categories
Magnus Hellstrøm-Finnsen
This paper expands further on a category theoretical formulation of Hochschild cohomology for monoid objects in monoidal categories enriched over abelian groups, which has been stu…
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya +2
Deep metric learning has been effectively used to learn distance metrics for different visual tasks like image retrieval, clustering, etc. In order to aid the training process, exi…
Towards the Automation of a Chemical Sulphonation Process with Machine Learning
Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4
Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translate…