# Evo* 2023 -- Late-Breaking Abstracts Volume

arXiv: https://arxiv.org/abs/2403.13950 · HTML: https://mlsanity.com/paper/2403.13950/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 11 of its 86 references that are in the map.
- First posted on arXiv 20 Mar 2024.

## Builds on (most cited first, 11 of 11)

- ["Why Should I Trust You?": Explaining the Predictions of Any Classifier](https://mlsanity.com/paper/1602.04938/) (2016)
- [The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities](https://mlsanity.com/paper/1803.03453/) (2018)
- [Evolutionary learning of interpretable decision trees](https://mlsanity.com/paper/2012.07723/) (2020)
- [Model Learning with Personalized Interpretability Estimation (ML-PIE)](https://mlsanity.com/paper/2104.06060/) (2021)
- [Quality Diversity Evolutionary Learning of Decision Trees](https://mlsanity.com/paper/2208.12758/) (2022)
- [Multi-Stage Residual Hiding for Image-into-Audio Steganography](https://mlsanity.com/paper/2101.01872/) (2021)
- [PixInWav: Residual Steganography for Hiding Pixels in Audio](https://mlsanity.com/paper/2106.09814/) (2021)
- [Interpretable AI for policy-making in pandemics](https://mlsanity.com/paper/2204.04256/) (2022)
- [Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables](https://mlsanity.com/paper/2206.14135/) (2022)
- [Source Mixing and Separation Robust Audio Steganography](https://mlsanity.com/paper/2110.05054/) (2021)
- [Backtracking (the) Algorithms on the Hamiltonian Cycle Problem](https://mlsanity.com/paper/2107.00314/) (2021)

## Abstract (arXiv)

Volume with the Late-Breaking Abstracts submitted to the Evo* 2023 Conference, held in Brno (Czech Republic), from 12 to 14 of April. These papers present ongoing research and preliminary results investigating on the application of different approaches of Bioinspired Methods (mainly Evolutionary Computation) to different problems, most of them real world ones.