Poster session (in Gather)

How to enter in Gather

  1. Be sure that you use Google Chrome or Firefox
  2. Follow this link to enter the space.
  3. Enjoy! 

What you find in Gather

In Gather you will enter in the main room, where you can chat and do some networking. 

Main room

At the right you will find the online poster room (see below). In that room each poster is placed in a coordinate represented by a letter (column) and a number (row). You will find the posters associated to each position at the end of this page.

Online Posters Room

In the poster room you will also find there counters (in the top, right and left walls) with the text “Vote here”, where you can vote for the best outstanding student poster. Use the registration code that was sent to you to vote (you can only vote for one poster).

Counter to vote for the best student poster (there are three of them)

Poster positions

  • A1 – Optimising Communication Overhead in Federated Learning Using NSGA-II (José Ángel Morell Martínez) – EvoApplications (EvoAPPS)
  • B1 – Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers (Rui P. Cardoso) – EvoApplications (EvoAPPS)
  • C1 – ANN-EMOA: Evolving Neural Networks Efficiently (Steven Künzel) – EvoApplications (EvoAPPS)
  • D1 – Self-Adaptation of Neuroevolution Algorithms using Reinforcement Learning (Michael Kogan) – EvoApplications (EvoAPPS)
  • E1 – Accurate and Interpretable Representations of Environments with Anticipatory Learning Classifier Systems (Orhand Romain) – EuroGP
  • F1 – Exploiting Knowledge from Code to Guide Program Search (Dirk Schweim) – EuroGP
  • A2 – Brain Programming and its Resilience using a Real-world Database of a Snowy Plover Shorebird (Roberto Pineda Núñez) – EvoApplications (EvoAPPS)
  • B2 – Multiobjective electric vehicle charging station locations in a city scale area: Malaga study case (Christian Cintrano) – EvoApplications (EvoAPPS)
  • C2 – An Enhanced Opposition-based Evolutionary Feature Selection Approach (Pedro Angel Castillo Valdivieso) – EvoApplications (EvoAPPS)
  • D2 – Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization (Valentino Santucci) – EvoApplications (EvoAPPS)
  • E2 – Synthesizing Programs from Program Pieces using Genetic Programming and Refinement Type Checking (Sabrina Tseng) – EuroGP
  • F2 – Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites (Kyle Nickerson) – EuroGP
  • A3 – Evolution of Acoustic Logic Gates in Granular Metamaterials (Atoosa Parsa) – EvoApplications (EvoAPPS)
  • B3 – Search Trajectories Networks of Multi-objectiveEvolutionary Algorithms (Yuri Lavinas) – EvoApplications (EvoAPPS)
  • C3 – Deep Catan (Brahim Driss) – EvoApplications (EvoAPPS)
  • D3 – Vectorial GP for Alzheimer’s disease prediction through handwriting analysis (Francesco Fontanella) – EvoApplications (EvoAPPS)
  • F3 – Implementing an Evolutionary Algorithm to Optimise Fractal Patterns and Investigate its Possible Contribution to the Design of Engineering Systems (Habiba Akter) – Late-Breaking Abstracts (LBAs)
  • A4 – A Systematic Evaluation of GPT-2-based Music Generation (Berker Banar) – EvoMusArt
  • B4 – Towards Brain Controlled Sound Sampling (David DeFilippo) – EvoMusArt
  • C4 – Out of Time: On the Constrains that Evolution in Hardware Faces when Evolving Modular Robots (Rodrigo Moreno) – EvoApplications (EvoAPPS)
  • D4 – Resilient Bioinspired Algorithms: A Computer System Design Perspective (Carlos Cotta) – EvoApplications (EvoAPPS)
  • E4 – Explainable Landscape Analysis in Automated Algorithm Performance Prediction (Risto Trajanov) – EvoApplications (EvoAPPS)
  • F4 – Using Evolutionary Algorithms for Multi-Constrained Path Calculation in a Tunnelled Network Topology (Habiba Akter) – Late-Breaking Abstracts (LBAs)
  • A5 – Emotion-Driven Interactive Storytelling: Let Me Tell You How to Feel (Oneris Daniel Rico Garcia) – EvoMusArt
  • B5 – MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control (Rui Guo) – EvoMusArt
  • C5 – Generating novel furniture with machine learning (Nelson Vermeer) – EvoMusArt
  • D5 – SpeechTyper: From Speech to Typographic Composition (Jéssica Araújo Parente) – EvoMusArt
  • E5 – An Application of Neural Embedding Models for Representing Artistic Periods (Rao Hamza Ali) – EvoMusArt
  • F5 – A Study on Complexity, Noise and Audio Aesthetics (Stefano Kalonaris) – EvoMusArt