1 citations · 1 across the 7 of their papers we have counts for
5 papers · 1 filter
Neuro-Evolved Heuristics for Variable Gapped Common Subsequence Identification
Marko DjukanoviÄ, Christian Blum, Aleksandar Kartelj +2
This study addresses the Variable Gapped Longest Common Subsequence Problem (VGLCSP), a variant of the classical longest common subsequence problem with additional gap constraints…
On Solving the Multiple Variable Gapped Longest Common Subsequence Problem
Marko DjukanoviÄ, Nikola Balaban, Christian Blum +3
This paper addresses the Variable Gapped Longest Common Subsequence (VGLCS) problem, a generalization of the classical LCS problem involving flexible gap constraints between consec…
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Ana Kostovska, Carola Doerr, Sašo Džeroski +2
Automated algorithm performance prediction in numerical blackbox optimization often relies on problem characterizations, such as exploratory landscape analysis features. These feat…
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
Stefan Kramer, Mattia Cerrato, Jannis Brugger +2
The paper surveys automated scientific discovery, from equation discovery and symbolic regression to autonomous discovery systems and agents. It discusses the individual approaches…
Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
Yanbo Zhang, Sumeer A. Khan, Adnan Mahmud +10
With recent Nobel Prizes recognising AI contributions to science, Large Language Models (LLMs) are transforming scientific research by enhancing productivity and reshaping the scie…