Algoritmi | User | Luís Miguel da Rocha de Matos

Luís Miguel da Rocha de Matos

Luís Miguel da Rocha de Matos

At Algoritmi

Senior Researcher with PhD

Member of the IST R&D Group

Member of the IDS R&D Lab

Academic Degree

PhD

Current Position

Assistant Professor at Escola de Engenharia da Universidade do Minho

Personal Webpage

https://lmm.dsi.uminho.pt/

Personal Email

luis.matos@dsi.uminho.pt

Orcid

0000-0001-5827-9129

Researcher ID

N-8043-2015

Ciência ID

4B15-8E29-1D57

Google Scholar

o3_qOXkAAAAJ

h-index

7

Publications

23

Editorial

0

Citations

164

Q1 / Q2

6

About Me



Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML

Procedia Computer Science

2024 | conference-paper

Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning

Engineering Applications of Artificial Intelligence

2024 | journal-article

A Deep Learning-Based Decision Support System for Mobile Performance Marketing

International Journal of Information Technology and Decision Making

2023 | journal-article

Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case

IFIP Advances in Information and Communication Technology

2023 | conference-paper

RTSIMU: Real-Time Simulation tool for IMU sensors[Formula presented]

Software Impacts

2023 | journal-article

A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors

Proceedings of the International Joint Conference on Neural Networks

2022 | conference-paper

A Machine Learning Approach for Spare Parts Lifetime Estimation

International Conference on Agents and Artificial Intelligence

2022 | conference-paper

A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022 | conference-paper

An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets

IFIP Advances in Information and Communication Technology

2022 | conference-paper

An Intelligent Decision Support System for Road Freight Transport

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022 | conference-paper

Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing[Formula presented]

Software Impacts

2022 | journal-article

Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio

Neural Computing and Applications

2022 | journal-article

Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection

Computers

2022 | journal-article

Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach

Procedia Computer Science

2022 | conference-paper

A Comparison of Anomaly Detection Methods for Industrial Screw Tightening

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021 | conference-paper

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021 | conference-paper

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection

IFIP Advances in Information and Communication Technology

2021 | conference-paper

Using deep autoencoders for in-vehicle audio anomaly detection

Procedia Computer Science

2021 | conference-paper

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds

arXiv

2020 | other

A Categorical Clustering of Publishers for Mobile Performance Marketing

Advances in Intelligent Systems and Computing

2019 | conference-paper

Using Deep Learning for Mobile Marketing User Conversion Prediction

Proceedings of the International Joint Conference on Neural Networks

2019 | conference-paper

Using deep learning for ordinal classification of mobile marketing user conversion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019 | conference-paper

A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction

9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings

2018 | conference-paper

Forecasting store foot traffic using facial recognition, time series and support vector machines

Advances in Intelligent Systems and Computing

2017 | conference-paper

Forecasting Human Entrances at a Commercial Store using facial recognition data

2015 | dissertation-thesis

No title available

No journal available

No publication date available

No title available

No journal available

No publication date available

No title available

No journal available

No publication date available

Init End Change Value
1970-01-01 Luís
https://scholar.google.pt/citations?user=o3_qOXkAAAAJ&hl=pt-PT
Laboratory IDS
1288-01-17 14:43:27
17/01/2023 20:15
1376-01-17 14:43:27
Member Type Assistant Researcher
1288-03-02 10:56:54
1970-01-01 02/03/2023 20:21
Aluno do MIEGSI - data de inscrição 18/10/2010.;;;;;;;;;;;
1376-03-02 10:56:54
Internal Member Type
1288-08-05 13:44:18
2024-08-05 20:21:00
1376-08-05 13:44:18
Category Invited Assistant Professor
1970-01-01 Laboratory
1970-01-01
Group
Laboratory
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS

Ahead of Time Prediction of Decorated Particleboard Production Disruptions and Defects Using Single and Multi-Target AutoML

Procedia Computer Science

2024 | conference-paper

Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning

Engineering Applications of Artificial Intelligence

2024 | journal-article

A Deep Learning-Based Decision Support System for Mobile Performance Marketing

International Journal of Information Technology and Decision Making

2023 | journal-article

Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case

IFIP Advances in Information and Communication Technology

2023 | conference-paper

RTSIMU: Real-Time Simulation tool for IMU sensors[Formula presented]

Software Impacts

2023 | journal-article

A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors

Proceedings of the International Joint Conference on Neural Networks

2022 | conference-paper

A Machine Learning Approach for Spare Parts Lifetime Estimation

International Conference on Agents and Artificial Intelligence

2022 | conference-paper

A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022 | conference-paper

An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets

IFIP Advances in Information and Communication Technology

2022 | conference-paper

An Intelligent Decision Support System for Road Freight Transport

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022 | conference-paper

Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing[Formula presented]

Software Impacts

2022 | journal-article

Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio

Neural Computing and Applications

2022 | journal-article

Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection

Computers

2022 | journal-article

Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach

Procedia Computer Science

2022 | conference-paper

A Comparison of Anomaly Detection Methods for Industrial Screw Tightening

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021 | conference-paper

A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021 | conference-paper

Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection

IFIP Advances in Information and Communication Technology

2021 | conference-paper

Using deep autoencoders for in-vehicle audio anomaly detection

Procedia Computer Science

2021 | conference-paper

Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds

arXiv

2020 | other

A Categorical Clustering of Publishers for Mobile Performance Marketing

Advances in Intelligent Systems and Computing

2019 | conference-paper

Using Deep Learning for Mobile Marketing User Conversion Prediction

Proceedings of the International Joint Conference on Neural Networks

2019 | conference-paper

Using deep learning for ordinal classification of mobile marketing user conversion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019 | conference-paper

A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction

9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings

2018 | conference-paper

Forecasting store foot traffic using facial recognition, time series and support vector machines

Advances in Intelligent Systems and Computing

2017 | conference-paper

Forecasting Human Entrances at a Commercial Store using facial recognition data

2015 | dissertation-thesis

No title available

No journal available

No publication date available

No title available

No journal available

No publication date available

No title available

No journal available

No publication date available

Start End Term Value
Luís
https://scholar.google.pt/citations?user=o3_qOXkAAAAJ&hl=pt-PT
Laboratory IDS
1288-01-17 14:43:27
17/01/2023 20:15
1376-01-17 14:43:27
Member Type Assistant Researcher
1288-03-02 10:56:54
02/03/2023 20:21
Aluno do MIEGSI - data de inscrição 18/10/2010.;;;;;;;;;;;
1376-03-02 10:56:54
Internal Member Type
1288-08-05 13:44:18
2024-08-05 20:21:00
1376-08-05 13:44:18
Category Invited Assistant Professor
Laboratory
Group
Laboratory
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
Group IST
Laboratory IDS
This user account status is Approved