Algoritmi | User | Luís Miguel da Rocha de Matos

Luís Miguel da Rocha de Matos

Luís Miguel da Rocha de Matos

At Algoritmi

Researcher with PhD

Member of the IST R&D Group

Member of the IDS R&D Lab

Academic Degree

PhD

Current Position

Invited 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

FCT Public Key

J64911226d44

Ciência ID

4B15-8E29-1D57

Google Scholar

o3_qOXkAAAAJ

h-index

3

Publications

11

Editorial

0

Citations

27

Q1 / Q2

1

About Me



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

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
02/03/2023 20:21
Aluno do MIEGSI - data de inscrição 18/10/2010.;;;;;;;;;;;
1376-03-02 10:56:54
Internal Member Type

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


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
This user account status is Approved