activity
20152026
most citedText Clustering with Large Language Model Embeddings

54 citations · 212 across the 21 of their papers we have counts for

collaborators

21 papers

cs.SE2026★ 1 cited

Can Large Language Models Implement Agent-Based Models? An ODD-based Replication Study

Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes +1

Large language models (LLMs) can now synthesize non-trivial executable code from textual descriptions, raising an important question: can LLMs reliably implement agent-based models…

cs.SE2025★ 9 cited

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries

Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes +2

Large Language Models (LLMs) have advanced rapidly as tools for automating code generation in scientific research, yet their ability to interpret and use unfamiliar Python APIs for…

cs.GR2025★ 1 cited

Structural Tree Extraction from 3D Surfaces

Diogo de Andrade, Nuno Fachada

This paper introduces a method to extract a hierarchical tree representation from 3D unorganized polygonal data. The proposed approach first extracts a graph representation of the…

cs.HC2025★ 1 cited

Closing the Loop in Affect-Driven Game Adaptation: A Systematic Review

Phil Lopes, Nuno Fachada, Maria Fonseca

Recognizing player state is only one component of affective game adaptation; inferred experience must also be translated into adaptive interventions that modify gameplay or game co…

cs.SE2025★ 14 cited

DeepSeek-V3, GPT-4, Phi-4, and LLaMA-3.3 generate correct code for LoRaWAN-related engineering tasks

Daniel Fernandes, João P. Matos-Carvalho, Carlos M. Fernandes +1

This paper investigates the performance of 16 Large Language Models (LLMs) in automating LoRaWAN-related engineering tasks involving optimal placement of drones and received power…

cs.HC2025

Games! What are they good for? The Struggle of Serious Game Adoption for Rehabilitation

Maria Micaela Fonseca, Nuno Fachada, Micael Sousa +5

The field of serious games for health has grown significantly, demonstrating effectiveness in various clinical contexts such as stroke, spinal cord injury, and degenerative neurolo…

nlin.CG2024★ 1 cited

Generating 3D Terrain with 2D Cellular Automata

Nuno Fachada, António R. Rodrigues, Diogo de Andrade +1

This paper explores the use of 2D cellular automata (CA) to generate 3D terrains through a simple additive approach. Experimenting with multiple CA transition rules produced aesthe…

eess.IV2024★ 3 cited

Raster Forge: Interactive Raster Manipulation Library and GUI for Python

Afonso Oliveira, Nuno Fachada, João P. Matos-Carvalho

Raster Forge is a Python library and graphical user interface for raster data manipulation and analysis. The tool is focused on remote sensing applications, particularly in wildfir…

eess.IV2024★ 4 cited

Data Science for Geographic Information Systems

Afonso Oliveira, Nuno Fachada, João P. Matos-Carvalho

The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of mac…

cs.CL2024★ 54 cited

Text Clustering with Large Language Model Embeddings

Alina Petukhova, João P. Matos-Carvalho, Nuno Fachada

Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data. Th…

eess.IV2023★ 1 cited

Multispectral Indices for Wildfire Management

Afonso Oliveira, João P. Matos-Carvalho, Filipe Moutinho +1

The increasing frequency and severity of wildfires necessitates advanced methods for effective surveillance and management, as traditional ground-based techniques often struggle to…

cs.LG2023★ 5 cited

Generating Multidimensional Clusters With Support Lines

Nuno Fachada, Diogo de Andrade

Synthetic data is essential for assessing clustering techniques, complementing and extending real data, and allowing for more complete coverage of a given problem's space. In turn,…

cs.CL2022★ 11 cited

MN-DS: A Multilabeled News Dataset for News Articles Hierarchical Classification

Alina Petukhova, Nuno Fachada

This article presents a dataset of 10,917 news articles with hierarchical news categories collected between 1 January 2019 and 31 December 2019. We manually labeled the articles ba…

cs.AI2021★ 11 cited

Procedural Generation of 3D Maps with Snappable Meshes

Rafael C. e Silva, Nuno Fachada, Diogo de Andrade +1

In this paper we present a technique for procedurally generating 3D maps using a set of premade meshes which snap together based on designer-specified visual constraints. The propo…

cs.CY2020★ 15 cited

ColorShapeLinks: A board game AI competition for educators and students

Nuno Fachada

ColorShapeLinks is an AI board game competition framework specially designed for students and educators in videogame development, with openness and accessibility in mind. The compe…

cs.DC2016★ 2 cited

cf4ocl: a C framework for OpenCL

Nuno Fachada, Vitor V. Lopes, Rui C. Martins +1

OpenCL is an open standard for parallel programming of heterogeneous compute devices, such as GPUs, CPUs, DSPs or FPGAs. However, the verbosity of its C host API can hinder applica…

cs.MS2016★ 1 cited

SimOutUtils - Utilities for analyzing time series simulation output

Nuno Fachada, Vitor V. Lopes, Rui C. Martins +1

SimOutUtils is a suite of MATLAB/Octave functions for studying and analyzing time series-like output from stochastic simulation models. More specifically, SimOutUtils allows modele…

cs.MS2016★ 11 cited

micompr: An R Package for Multivariate Independent Comparison of Observations

Nuno Fachada, João Rodrigues, Vitor V. Lopes +2

The R package micompr implements a procedure for assessing if two or more multivariate samples are drawn from the same distribution. The procedure uses principal component analysis…

cs.OH2015★ 26 cited

Model-independent comparison of simulation output

Nuno Fachada, Vitor V. Lopes, Rui C. Martins +1

Computational models of complex systems are usually elaborate and sensitive to implementation details, characteristics which often affect their verification and validation. Model r…

cs.CE2015★ 3 cited

Finite Element Procedures for Enzyme, Chemical Reaction and 'In-Silico' Genome Scale Networks

R. C. Martins, N. Fachada

The capacity to predict and control bioprocesses is perhaps one of the most important objectives of biotechnology. Computational simulation is an established methodology for the de…

cs.DC2015★ 38 cited

Parallelization Strategies for Spatial Agent-Based Models

Nuno Fachada, Vitor V. Lopes, Rui C. Martins +1

Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent. Large sc…