27 citations · 43 across the 5 of their papers we have counts for
7 papers
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
Mădălina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini +1
This study investigates the influence of several bound constraint handling methods (BCHMs) on the search process specific to Differential Evolution (DE), with a focus on identifyin…
The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond
Anna V. Kononova, Diederick Vermetten, Fabio Caraffini +2
We argue that results produced by a heuristic optimisation algorithm cannot be considered reproducible unless the algorithm fully specifies what should be done with solutions gener…
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Kristian Miok, Blaz Skrlj, Daniela Zaharie +1
Hate speech is an important problem in the management of user-generated content. To remove offensive content or ban misbehaving users, content moderators need reliable hate speech…
Scalable Optimal Deployment in the Cloud of Component-based Applications using Optimization Modulo Theory, Mathematical Programming and Symmetry Breaking
Madalina Erascu, Flavia Micota, Daniela Zaharie
The problem of Cloud resource provisioning for component-based applications consists in the allocation of virtual machines (VMs) offers from various Cloud Providers to a set of app…
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders
Kristian Miok, Dong Nguyen-Doan, Marko Robnik-Šikonja +1
Due to complex experimental settings, missing values are common in biomedical data. To handle this issue, many methods have been proposed, from ignoring incomplete instances to var…
Generating Data using Monte Carlo Dropout
Kristian Miok, Dong Nguyen-Doan, Daniela Zaharie +1
For many analytical problems the challenge is to handle huge amounts of available data. However, there are data science application areas where collecting information is difficult…
Prediction Uncertainty Estimation for Hate Speech Classification
Kristian Miok, Dong Nguyen-Doan, Blaž Škrlj +2
As a result of social network popularity, in recent years, hate speech phenomenon has significantly increased. Due to its harmful effect on minority groups as well as on large comm…