Investigating multi-feature selection and ensembling for audio classification
Deep Learning (DL) algorithms have shown impressive performance in diverse domains.
Among them, audio has attracted many researchers over the last couple of decades due to …
Among them, audio has attracted many researchers over the last couple of decades due to …
Enhancing Program Synthesis with Large Language Models Using Many-Objective Grammar-Guided Genetic Programming
The ability to automatically generate code, ie, program synthesis, is one of the most
important applications of artificial intelligence (AI). Currently, two AI techniques are leading …
important applications of artificial intelligence (AI). Currently, two AI techniques are leading …
Program synthesis with generative pre-trained transformers and grammar-guided genetic programming grammar
Grammar-Guided Genetic Programming (G3P) is widely recognised as one of the most
successful approaches to program synthesis. Using a set of input/output tests, G3P evolves …
successful approaches to program synthesis. Using a set of input/output tests, G3P evolves …
Multi-objective grammar-guided genetic programming with code similarity measurement for program synthesis
Grammar-Guided Genetic Programming (G3P) is widely recognised as one of the most
successful approaches for program synthesis, ie, the task of automatically discovering an …
successful approaches for program synthesis, ie, the task of automatically discovering an …
Grammar-obeying program synthesis: A novel approach using large language models and many-objective genetic programming
Program synthesis is an important challenge that has attracted significant research interest,
especially in recent years with advancements in Large Language Models (LLMs). Although …
especially in recent years with advancements in Large Language Models (LLMs). Although …
Assessing similarity-based grammar-guided genetic programming approaches for program synthesis
Abstract Grammar-Guided Genetic Programming is widely recognised as one of the most
successful approaches for program synthesis, ie, the task of automatically discovering an …
successful approaches for program synthesis, ie, the task of automatically discovering an …
Many-objective grammar-guided genetic programming with code similarity measurement for program synthesis
The approach known as Grammar-Guided Genetic Programming (G3P) is widely
acknowledged as a highly effective method for program synthesis, which involves …
acknowledged as a highly effective method for program synthesis, which involves …
Hierarchical grammar-guided genetic programming techniques for scheduling in heterogeneous networks
Grammar-Guided Genetic Programming is already outperforming humans at creating
efficient transmission schedulers for large heterogeneous communications networks. We …
efficient transmission schedulers for large heterogeneous communications networks. We …
Assessing Potential of UAV-Based Increase in Urban Disasters Communication on Traffic Congestion Mitigation
D Wlodarczyk, T Saber - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Effective traffic management during urban disasters is critical for reducing congestion and
maintaining urban mobility. Unmanned Aerial Vehicles (UAVs) have shown promise in …
maintaining urban mobility. Unmanned Aerial Vehicles (UAVs) have shown promise in …
Incorporating user preferences in multi-objective feature selection in software product lines using multi-criteria decision analysis
Abstract Software Product Lines Engineering has created various tools that assist with the
standardisation in the design and implementation of clusters of equivalent software systems …
standardisation in the design and implementation of clusters of equivalent software systems …