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ORCIDMário Antunes 0002
Person information
- affiliation: Polytechnic Institute of Leiria, Portugal
- affiliation (PhD 2011): University of Porto, Portugal
Other persons with the same name
- Mário Antunes 0001
![[0000-0002-6504-9441]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6504-9441")
(aka: Mário Luis Pinto Antunes) — University of Aveiro, Portugal
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2020 – today
- 2023
[j10]Pedro Fernandes, Mário Antunes:
Benford's law applied to digital forensic analysis. Forensic Sci. Int. Digit. Investig. 45: 301515 (2023)- [c32]Pedro Fernandes, Séamus Ó Ciardhuáin, Mário Antunes:
Uncovering Manipulated Files Using Mathematical Natural Laws. CIARP 2023: 46-62 - 2022
- [j9]Mário J. Antunes, Luís M. L. Oliveira, Afonso Seguro, João Veríssimo, Ruben Salgado, Tiago Murteira:
Benchmarking Deep Learning Methods for Behaviour-Based Network Intrusion Detection. Informatics 9(1): 29 (2022) - [i1]Sara Ferreira, Mário Antunes, Manuel Eduardo Correia:
Digital Forensics for the Detection of Deepfake Image Manipulations. ERCIM News 2022(129): 0 (2022) - 2021
- [j8]Gonçalo Carnaz, Mário Antunes, Vítor Beires Nogueira:
An Annotated Corpus of Crime-Related Portuguese Documents for NLP and Machine Learning Processing. Data 6(7): 71 (2021) - [j7]Sara Ferreira, Mário Antunes, Manuel Eduardo Correia:
A Dataset of Photos and Videos for Digital Forensics Analysis Using Machine Learning Processing. Data 6(8): 87 (2021) - [j6]Gonçalo Carnaz, Vítor Beires Nogueira, Mário Antunes:
A Graph Database Representation of Portuguese Criminal-Related Documents. Informatics 8(2): 37 (2021) - [j5]Sara Ferreira, Mário Antunes, Manuel Eduardo Correia:
Exposing Manipulated Photos and Videos in Digital Forensics Analysis. J. Imaging 7(7): 102 (2021) - [j4]Mário Antunes, Marisa Maximiano, Ricardo Gomes, Daniel Pinto:
Information Security and Cybersecurity Management: A Case Study with SMEs in Portugal. J. Cybersecur. Priv. 1(2): 219-238 (2021) - [c31]Mário Antunes, Marisa Maximiano, Ricardo Gomes:
A Customizable Web Platform to Manage Standards Compliance of Information Security and Cybersecurity Auditing. CENTERIS/ProjMAN/HCist 2021: 36-43 - [c30]Sara Ferreira, Mário Antunes, Manuel Eduardo Correia:
Forensic Analysis of Tampered Digital Photos. CIARP 2021: 461-470 - 2020
- [j3]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Boosting dynamic ensemble's performance in Twitter. Neural Comput. Appl. 32(14): 10655-10667 (2020) - [c29]Paulo Nunes, Mário Antunes, Carina Silva:
Evaluating cybersecurity attitudes and behaviors in Portuguese healthcare institutions. CENTERIS/ProjMAN/HCist 2020: 173-181 - [c28]Paulo Ferreira, Mário Antunes:
Benchmarking Behavior-Based Intrusion Detection Systems with Bio-inspired Algorithms. SSCC 2020: 152-164 - [e1]Ana Maria Madureira, Ajith Abraham, Niketa Gandhi, Catarina Silva, Mário Antunes:
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, SoCPaR 2018, Porto, Portugal, December 13-15, 2018. Advances in Intelligent Systems and Computing 942, Springer 2020, ISBN 978-3-030-17064-6 [contents]
2010 – 2019
- 2019
- [c27]Gonçalo Carnaz, Vítor Beires Nogueira, Mário Antunes:
Knowledge Representation of Crime-Related Events: a Preliminary Approach. SLATE 2019: 13:1-13:8 - [c26]Gonçalo Carnaz, Paulo Quaresma, Vítor Beires Nogueira, Mário Antunes, Nuno M. Fonseca Ferreira:
A Review on Relations Extraction in Police Reports. WorldCIST (1) 2019: 494-503 - 2018
- [c25]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive Learning Models Evaluation in Twitter's Timelines. IJCNN 2018: 1-8 - [c24]Mário Antunes, Carlos Rabadão:
Cybersecurity and Digital Forensics - Course Development in a Higher Education Institution. SoCPaR 2018: 338-348 - [c23]Gonçalo Carnaz, Vítor Beires Nogueira, Mário Antunes, Nuno M. Fonseca Ferreira:
An Automated System for Criminal Police Reports Analysis. SoCPaR 2018: 360-369 - 2017
- [j2]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Adaptive learning for dynamic environments: A comparative approach. Eng. Appl. Artif. Intell. 65: 336-345 (2017) - [c22]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Performance Metrics for Model Fusion in Twitter Data Drifts. IbPRIA 2017: 13-21 - [c21]Rafael Vieira, Mário Antunes, Catarina Silva, Ana Assis:
Automatic Documents Counterfeit Classification Using Image Processing and Analysis. IbPRIA 2017: 400-407 - 2016
- [c20]Mário Antunes, Catarina Silva, Joaquim Barranca:
A Telemedicine Application Using WebRTC. CENTERIS/ProjMAN/HCist 2016: 414-420 - [c19]Rafael Vieira, Catarina Silva, Mário Antunes, Ana Assis:
Information System for Automation of Counterfeited Documents Images Correlation. CENTERIS/ProjMAN/HCist 2016: 421-428 - [c18]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Choice of Best Samples for Building Ensembles in Dynamic Environments. EANN 2016: 35-47 - 2015
- [c17]João Cunha, Catarina Silva, Mário Antunes:
Health Twitter Big Bata Management with Hadoop Framework. CENTERIS/ProjMAN/HCist 2015: 425-431 - [c16]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
DOTS: Drift Oriented Tool System. ICONIP (4) 2015: 615-623 - [c15]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The impact of longstanding messages in micro-blogging classification. IJCNN 2015: 1-8 - [c14]Catarina Silva, Mário Antunes, Joana Cósta, Bernardete Ribeiro:
Active Manifold Learning with Twitter Big Data. INNS Conference on Big Data 2015: 208-215 - 2014
- [c13]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Concept Drift Awareness in Twitter Streams. ICMLA 2014: 294-299 - [c12]Mário J. Antunes, Albano Afonso, Filipe Mota Pinto:
A Distributed Architecture for Remote Validation of Software Licenses Using USB/IP Protocol. WorldCIST (2) 2014: 269-279 - 2013
- [j1]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Customized crowds and active learning to improve classification. Expert Syst. Appl. 40(18): 7212-7219 (2013) - [c11]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA 2013: 226-235 - [c10]Joana Cósta, Catarina Silva, Bernardete Ribeiro, Mário Antunes:
CrowdTargeting: Making Crowds More Personal. SMAP 2013: 21-26 - 2011
- [c9]Mário Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia:
A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) 2011: 342-352 - [c8]Mário Antunes, Manuel Eduardo Correia:
Tunable Immune Detectors for Behaviour-Based Network Intrusion Detection. ICARIS 2011: 334-347 - [c7]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
The Importance of Precision in Humour Classification. IDEAL 2011: 271-278 - [c6]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
On using crowdsourcing and active learning to improve classification performance. ISDA 2011: 469-474 - [c5]Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Get Your Jokes Right: Ask the Crowd. MEDI 2011: 178-185 - 2010
- [c4]Mário João Gonçalves Antunes, Manuel Eduardo Correia:
Self Tolerance by Tuning T-Cell Activation: An Artificial Immune System for Anomaly Detection. BIONETICS 2010: 1-15
2000 – 2009
- 2009
- [c3]Mário João Gonçalves Antunes, Manuel Eduardo Correia, Jorge Carneiro:
Towards an Immune-inspired Temporal Anomaly Detection Algorithm based on Tunable Activation Thresholds. BIOSIGNALS 2009: 357-362 - [c2]Mário João Gonçalves Antunes, Manuel Eduardo Correia:
An Artificial Immune System for Temporal Anomaly Detection Using Cell Activation Thresholds and Clonal Size Regulation with Homeostasis. IJCBS 2009: 323-326 - 2008
- [c1]Mário Antunes, Manuel Eduardo Correia:
TAT-NIDS: An Immune-Based Anomaly Detection Architecture for Network Intrusion Detection. IWPACBB 2008: 60-67
Coauthor Index
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