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ORCIDAndré L. Ferreira
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2020 – today
- 2024
[j3]Karam Ignaim
, João M. Fernandes, André L. Ferreira:
An industrial experience of using reference architectures for mapping features to code. Sci. Comput. Program. 234: 103087 (2024)- 2022
- [j2]Karam Ignaim, Khalid Alkharabsheh, André L. Ferreira, João M. Fernandes:
A concrete product derivation in software product line engineering: a practical approach. Int. J. Comput. Appl. Technol. 70(3/4): 225-232 (2022) - [j1]Gabriel Coelho, Luís Miguel Matos, Pedro José Pereira, André L. Ferreira, André Luiz Pilastri, Paulo Cortez:
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Neural Comput. Appl. 34(22): 19485-19499 (2022) - 2021
- [c16]Afonso Costa, André L. Ferreira, João M. Fernandes:
Web based Object Annotation Tool using a Triplet-ReID Sorting Approach. ICPRAM 2021: 279-286 - [c15]Gabriel Coelho, Pedro José Pereira, Luís Miguel Matos, Alexandrine Ribeiro, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri:
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. AIAI 2021: 337-348 - [c14]Pedro José Pereira, Gabriel Coelho, Alexandrine Ribeiro, Luís Miguel Matos, Eduardo C. Nunes, André L. Ferreira, André Luiz Pilastri, Paulo Cortez:
Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. KES 2021: 298-307 - 2020
- [i1]Alexandrine Ribeiro, Luís Miguel Matos, Pedro José Pereira, Eduardo C. Nunes, André L. Ferreira, Paulo Cortez, André Luiz Pilastri:
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds. CoRR abs/2006.10417 (2020)
2010 – 2019
- 2019
- [c13]Nuno M. Santos, André L. Ferreira, João M. Fernandes:
On the Use of Smartphone Sensors for Developing Advanced Driver Assistance Systems. SmartCity360° 2019: 102-114 - 2018
- [c12]David Nova, André L. Ferreira, Paulo Cortez:
A Machine Learning Approach to Detect Violent Behaviour from Video. INTETAIN 2018: 85-94 - [c11]Karam Ignaim, João M. Fernandes, André L. Ferreira, Jana Seidel:
A Systematic Reuse-Based Approach for Customized Cloned Variants. QUATIC 2018: 287-292 - [c10]Francisca Ribeiro, André L. Ferreira, Anabela Tereso, Deborah Perrotta:
Development of a Grooming Process for an Agile Software Team in the Automotive Domain. WorldCIST (1) 2018: 887-896 - 2017
- [c9]Pedro Cunha, André L. Ferreira, Paulo Cortez:
Mining Rational Team Concert Repositories: A Case Study on a Software Project. EPIA 2017: 537-548 - [c8]Pedro Oliveira, André L. Ferreira, Daniel Dias, Tiago F. Pereira, Paula Monteiro, Ricardo J. Machado:
An Analysis of the Commonality and Differences Between ASPICE and ISO26262 in the Context of Software Development. EuroSPI 2017: 216-227 - [c7]Afonso Vilaça, Pedro Cunha, André L. Ferreira:
Systematic literature review on driving behavior. ITSC 2017: 1-8 - 2011
- [c6]André L. Ferreira, Ricardo Jorge Machado, Mark C. Paulk:
An Approach to Software Process Design and Implementation Using Transition Rules. EUROMICRO-SEAA 2011: 330-333 - [c5]André L. Ferreira, Ricardo Jorge Machado, Mark C. Paulk:
Supporting Audits and Assessments in Multi-model Environments. PROFES 2011: 73-87 - 2010
- [c4]André L. Ferreira, Ricardo Jorge Machado, Mark C. Paulk:
Quantitative Analysis of Best Practices Models in the Software Domain. APSEC 2010: 433-442 - [c3]André L. Ferreira, Ricardo Jorge Machado, Mark C. Paulk:
Size and Complexity Attributes for Multimodel Improvement Framework Taxonomy. EUROMICRO-SEAA 2010: 306-309 - [c2]André L. Ferreira, Ricardo Jorge Machado, Jose G. Silva, Rui F. Batista, Lino A. Costa, Mark C. Paulk:
An approach to improving software inspections performance. ICSM 2010: 1-8
2000 – 2009
- 2009
- [c1]André L. Ferreira, Ricardo Jorge Machado:
Software Process Improvement in Multimodel Environments. ICSEA 2009: 512-517
Coauthor Index
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