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Dalila Durães

Dalila Alves Durães

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affiliation: University of Minho, ALGORITMI Center, Portugal
affiliation (PhD 2019): Tecnical University of Madrid, Department of Artificial Intelligence, Spain
affiliation (PhD 2012): University of Granada, Spain

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2020 – today

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2024
[c55]
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Dalila Durães, Rita M. A. Bezerra, Paulo Novais:
AI-Driven Educational Transformation in Secondary Schools: Leveraging Data Insights for Inclusive Learning Environments. EDUCON 2024: 1-9
[c54]
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Pedro Oliveira, Francisco Supino Marcondes, M. Salomé Duarte, Dalila Durães, Gilberto Martins, Paulo Novais:
Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant. WorldCIST (2) 2024: 64-73
2023
[j7]
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Dalila Durães, Bruno Veloso, Paulo Novais:
Violence Detection in Audio: Evaluating the Effectiveness of Deep Learning Models and Data Augmentation. Int. J. Interact. Multim. Artif. Intell. 8(3): 72 (2023)
[j6]
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António Linhares Silva, Pedro Oliveira, Dalila Durães, Duarte Fernandes, Rafael Névoa, João Monteiro, Pedro Melo-Pinto, José Machado, Paulo Novais:
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications. Sensors 23(14): 6427 (2023)
[c53]
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Sara Guerreiro-Santalla, Dalila Durães, Helen Crompton, Paulo Novais, Francisco Bellas:
Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School. EPIA (1) 2023: 3-15
[c52]
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Eduardo Coelho, Nuno Pimenta, Hugo Peixoto, Dalila Durães, Pedro Melo-Pinto, Victor Alves, Lourenço Bandeira, José Machado, Paulo Novais:
Multi-agent System for Multimodal Machine Learning Object Detection. HAIS 2023: 673-681
[c51]
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Renata Magalhães, Francisco Supino Marcondes, Dalila Durães, Paulo Novais:
Emotion Extraction from Likert-Scale Questionnaires - - An Additional Dimension to Psychology Instruments -. IDEAL 2023: 166-176
[c50]
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Renata Teixeira, Francisco Supino Marcondes, Henrique Lima, Dalila Durães, Paulo Novais:
Data Fusion for Prediction of Variations in Students Grades. IWANN (2) 2023: 292-303
[c49]
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Beatriz Lacerda, Francisco Supino Marcondes, Henrique Lima, Dalila Durães, Paulo Novais:
Prediction of Students' Grades Based on Non-academic Data. MIS4TEL 2023: 87-95
[c48]
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Hugo Nogueira, Dalila Durães, Paulo Novais:
Study of Detection Object and People with Radar Technology. WorldCIST (3) 2023: 134-143
[e6]
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Zuzana Kubincová, Alessandra Melonio, Dalila Durães, Davide Rua Carneiro, Mehdi Rizvi, Loreto Lancia:
Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops, 12th International Conference, MIS4TEL 2022, L'Avila, Italy, 13-15 July 2022. Lecture Notes in Networks and Systems 538, Springer 2023, ISBN 978-3-031-20256-8 [contents]
[e5]
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Marcelo Milrad, Nuno Otero, María Cruz Sánchez Gómez, Juan José Mena Marcos, Dalila Durães, Filippo Sciarrone, Claudio Alvarez-Gómez, Manuel Rodrigues, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando de la Prieta:
Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference, MIS4TEL 2023, Guimaraes, Portugal, 12-14 July 2023. Lecture Notes in Networks and Systems 764, Springer 2023, ISBN 978-3-031-41225-7 [contents]
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Dalila Durães, Alfonso González-Briones, Marin Lujak, Alia El Bolock, João Carneiro:
Highlights in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection - International Workshops of PAAMS 2023, Guimaraes, Portugal, July 12-14, 2023, Proceedings. Communications in Computer and Information Science 1838, Springer 2023, ISBN 978-3-031-37592-7 [contents]
2022
[c47]
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Regina Sousa, Diogo Lopes, António Silva, Dalila Durães, Hugo Peixoto, José Machado, Paulo Novais:
Sustainable and Social Energy on Smart Cities: Systematic Review. ARTIIS (2) 2022: 72-84
[c46]
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Pedro Pereira, António Silva, Rui Machado, João Silva, Dalila Durães, José Machado, Paulo Novais, João Monteiro, Pedro Melo-Pinto, Duarte Fernandes:
Comparison of Different Deployment Approaches of FPGA-Based Hardware Accelerator for 3D Object Detection Models. EPIA 2022: 285-296
[c45]
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Pedro José Pereira, Nuno Costa, Margarida Barros, Paulo Cortez, Dalila Durães, António Silva, José Machado:
A Comparison of Automated Time Series Forecasting Tools for Smart Cities. EPIA 2022: 551-562
[c44]
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Carlos Alves, António Chaves, Carla Rodrigues, Eduarda Ribeiro, António Silva, Dalila Durães, José Machado, Paulo Novais:
Survey for Big Data Platforms and Resources Management for Smart Cities. HAIS 2022: 393-404
[c43]
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Rui Miranda, Vasco Ramos, Eduarda Ribeiro, Carla Rodrigues, António Silva, Dalila Durães, César Analide, António Abelha, José Machado:
Crowdsensing on Smart Cities: A Systematic Review. IBERAMIA 2022: 103-106
[c42]
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Gabriela R. Witeck, Ana Maria A. C. Rocha, Gonçalo O. Silva, António Silva, Dalila Durães, José Machado:
A Bibliometric Review and Analysis of Traffic Lights Optimization. ICCSA (Workshops 2) 2022: 43-54
[c41]
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Gonçalo O. Silva, Ana Maria A. C. Rocha, Gabriela R. Witeck, António Silva, Dalila Durães, José Machado:
On Tuning the Particle Swarm Optimization for Solving the Traffic Light Problem. ICCSA (Workshops 2) 2022: 68-80
[c40]
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Rita M. A. Bezerra, Dalila Durães, Paulo Novais:
Survey for Smart and Adaptative Education. ICETM 2022: 237-242
[c39]
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Hugo Faria, Maria Araújo Barbosa, Bruno Veloso, Francisco Supino Marcondes, Celso Lima, Dalila Durães, Paulo Novais:
EduBot: A Proof-of-Concept for a High School Motivational Agent. IDEAL 2022: 223-232
[c38]
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Bruno Veloso, Maria Araújo Barbosa, Hugo Faria, Francisco Supino Marcondes, Dalila Durães, Paulo Novais:
A Systematic Review on Student Failure Prediction. MIS4TEL (Workshops) 2022: 43-52
[c37]
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Gonçalo O. Silva, Ana Maria A. C. Rocha, Gabriela R. Witeck, António Silva, Dalila Durães, José Machado:
Traffic Light Optimization of an Intersection: A Portuguese Case Study. OL2A 2022: 202-214
[c36]
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Bruno Veloso, Dalila Durães, Paulo Novais:
Analysis of Machine Learning Algorithms for Violence Detection in Audio. PAAMS (Workshops) 2022: 210-221
[c35]
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Maria Araújo Barbosa, Francisco Supino Marcondes, Dalila Alves Durães, Paulo Novais:
Microblogging Environment Simulator: An Ethical Approach. PAAMS 2022: 461-466
[c34]
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Regina Sousa, Daniela Oliveira, Dalila Durães, Cristiana Neto, José Machado:
Medical Recommendation System Based on Daily Clinical Reports: A Proposed NLP Approach for Emergency Departments. SGAI Conf. 2022: 315-320
[c33]
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Francisco Supino Marcondes, Maria Araújo Barbosa, Ricardo Queiroz, Luis Brito, Adelino Gala, Dalila Durães:
MentaLex: A Mental Processes Lexicon Based on the Essay Dataset. SGAI Conf. 2022: 321-326
[c32]
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Carlos Monteiro, Dalila Durães:
Modelling a Framework to Obtain Violence Detection with Spatial-Temporal Action Localization. WorldCIST (1) 2022: 630-639
[e3]
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Alfonso González-Briones, Ana Almeida, Alberto Fernández, Alia El Bolock, Dalila Durães, Jaume Jordán, Fernando Lopes:
Highlights in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection - International Workshops of PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings. Communications in Computer and Information Science 1678, Springer 2022, ISBN 978-3-031-18696-7 [contents]
2021
[c31]
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Dalila Durães, Flávio Arthur O. Santos, Francisco Supino Marcondes, Sascha Lange, José Machado:
Comparison of Transfer Learning Behaviour in Violence Detection with Different Public Datasets. EPIA 2021: 290-298
[c30]
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Francisco Supino Marcondes, Adelino Gala, Dalila Durães, Fernando Moreira, José João Almeida, Vania Baldi, Paulo Novais:
A Profile on Twitter Shadowban: An AI Ethics Position Paper on Free-Speech. IDEAL 2021: 397-405
[c29]
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Flávio Arthur O. Santos, Dalila Durães, Francisco Supino Marcondes, Niklas Hammerschmidt, Sascha Lange, José Machado, Paulo Novais:
In-Car Violence Detection Based on the Audio Signal. IDEAL 2021: 437-445
[c28]
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Flávio Arthur O. Santos, Dalila Durães, Francisco Supino Marcondes, Sascha Lange, José Machado, Paulo Novais:
Efficient Violence Detection Using Transfer Learning. PAAMS (Workshops) 2021: 65-75
[c27]
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Laercio Sartori, Dalila Durães, Paulo Novais:
A Simple Strategy for Choosing Network Structures in a Object Detection Project with Transfer Learning. PAAMS (Workshops) 2021: 76-87
[c26]
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Francisco Supino Marcondes, Dalila Durães, Marco Gomes, Flávio Arthur O. Santos, José João Almeida, Paulo Novais:
Neural Network eXplainable AI Based on Paraconsistent Analysis - an Initial Approach. SSCT 2021: 139-149
[c25]
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Flávio Arthur O. Santos, Dalila Durães, Francisco Supino Marcondes, Marco Gomes, Filipe Gonçalves, Joaquim Fonseca, Jochen Wingbermühle, José Machado, Paulo Novais:
Modelling a Deep Learning Framework for Recognition of Human Actions on Video. WorldCIST (1) 2021: 104-112
[c24]
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Ramón Toala, Dalila Durães, Paulo Novais:
Emotions and Intelligent Tutors. WorldCIST (1) 2021: 488-496
[e2]
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Fernando de la Prieta, Alia El Bolock, Dalila Durães, João Carneiro, Fernando Lopes, Vicente Julián:
Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection - International Workshops of PAAMS 2021, Salamanca, Spain, October 6-9, 2021, Proceedings. Communications in Computer and Information Science 1472, Springer 2021, ISBN 978-3-030-85709-7 [contents]
2020
[c23]
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Francisco Supino Marcondes, Dalila Durães, Filipe Gonçalves, Joaquim Fonseca, José Machado, Paulo Novais:
In-Vehicle Violence Detection in Carpooling: A Brief Survey Towards a General Surveillance System. DCAI 2020: 211-220
[c22]
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Dalila Durães, Manuel Rodrigues, Paulo Novais:
Modelling an Intelligent Tutoring System based on Supervised Behaviour Biometrics. STAIRS@ECAI 2020
[c21]
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Dalila Durães, Ramón Toala, Paulo Novais:
Emotion Analysis in Distance Learning. ICL (1) 2020: 629-639
[c20]
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Tiago Jesus, Júlio Duarte, Diana Ferreira, Dalila Durães, Francisco Supino Marcondes, Flávio Arthur O. Santos, Marco Gomes, Paulo Novais, Filipe Gonçalves, Joaquim Fonseca, Nicolás F. Lori, António Abelha, José Machado:
Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data. IDEAL (2) 2020: 549-560
[c19]
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Manuel Rodrigues, Dalila Durães, Ricardo Santos, Cesar Analide:
Emotion Detection Throughout the Speech. IntelliSys (2) 2020: 304-314
[c18]
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Dalila Durães, Francisco Supino Marcondes, Filipe Gonçalves, Joaquim Fonseca, José Machado, Paulo Novais:
Detection Violent Behaviors: A Survey. ISAmI 2020: 106-116
[c17]
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Francisco Supino Marcondes, José João Almeida, Dalila Durães, Paulo Novais:
Fact-Check Spreading Behavior in Twitter: A Qualitative Profile for False-Claim News. WorldCIST (2) 2020: 170-180

2010 – 2019

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2019
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Dalila Durães, Ramón Toala, Filipe Gonçalves, Paulo Novais:
Intelligent tutoring system to improve learning outcomes. AI Commun. 32(3): 161-174 (2019)
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Davide Carneiro, Paulo Novais, Dalila Durães, José Miguel Pêgo, Nuno J. Sousa:
Predicting completion time in high-stakes exams. Future Gener. Comput. Syst. 92: 549-559 (2019)
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Dalila Durães, Fernando de la Prieta, Paulo Novais:
Enriching behavior patterns with learning styles using peripheral devices. Knowl. Inf. Syst. 60(3): 1645-1662 (2019)
[c16]
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Ramón Toala, Dalila Durães, Paulo Novais:
Human-Computer Interaction in Intelligent Tutoring Systems. DCAI 2019: 52-59
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Dalila Durães:
Student Attention Evaluation System Using Machine Learning for Decision Making. EPIA (1) 2019: 27-34
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Paulo Novais, Jason J. Jung, Gabriel Villarrubia-González, Antonio Fernández-Caballero, Elena Navarro, Pascual González, Davide Carneiro, António Pinto, Andrew T. Campbell, Dalila Durães:
Ambient Intelligence - Software and Applications -, 9th International Symposium on Ambient Intelligence, ISAmI 2018, Toledo, Spain, 20-22 June 2018. Advances in Intelligent Systems and Computing 806, Springer 2019, ISBN 978-3-030-01745-3 [contents]
2018
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Dalila Alves Durães:
Attentiveness and Engagement in Learning Activities. Technical University of Madrid, Spain, 2018
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Dalila Durães, Davide Carneiro, Javier Bajo, Paulo Novais:
Modelling a smart environment for nonintrusive analysis of attention in the workplace. Expert Syst. J. Knowl. Eng. 35(5) (2018)
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Dalila Durães, Davide Carneiro, Amparo Jiménez, Paulo Novais:
Characterizing attentive behavior in intelligent environments. Neurocomputing 272: 46-54 (2018)
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Ramón Toala, Filipe Gonçalves, Dalila Durães, Paulo Novais:
Adaptive and Intelligent Mentoring to Increase User Attentiveness in Learning Activities. IBERAMIA 2018: 145-155
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Dalila Durães, Javier Bajo, Paulo Novais:
Supervising Attention in an E-Learning System. ISAmI 2018: 389-396
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Paulo Novais, Filipe Gonçalves, Dalila Durães:
Forecasting Student's Preference in E-learning Systems. SGAI Conf. 2018: 198-203
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Dalila Durães, Javier Bajo, Paulo Novais:
Characterize a Human-Robot Interaction: Robot Personal Assistance. Personal Assistants 2018: 135-147
2017
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Dalila Durães, Javier Bajo, Paulo Novais:
Assess and Enhancing Attention in Learning Activities. ICL (1) 2017: 803-811
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Dalila Durães, David Castro, Javier Bajo, Paulo Novais:
Modelling an Intelligent Interaction System for Increasing the Level of Attention. ISAmI 2017: 210-217
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Dalila Durães, Javier Bajo, Paulo Novais:
Analysis Learning Styles Though Attentiveness. MIS4TEL 2017: 90-97
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Dalila Durães, Catarina Cardoso, Javier Bajo, Paulo Novais:
Learning Frequent Behaviors Patterns in Intelligent Environments for Attentiveness Level. PAAMS (Special Sessions) 2017: 139-147
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Dalila Durães, Cesar Analide, Javier Bajo, Paulo Novais:
Quantifying the Effects of Learning Styles on Attention. WorldCIST (2) 2017: 711-721
2016
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Davide Carneiro, Dalila Durães, Paulo Novais:
Quantifying Attention in Computer-based Tasks. AfCAI 2016
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Davide Carneiro, Dalila Durães, Javier Bajo, Paulo Novais:
Non-intrusive Monitoring of Attentional Behavior in Teams. IDC 2016: 153-162
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Dalila Durães, Davide Carneiro, Javier Bajo, Paulo Novais:
Supervising and Improving Attentiveness in Human Computer Interaction. Intelligent Environments (Workshops) 2016: 255-264
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Dalila Durães, Sérgio Gonçalves, Davide Carneiro, Javier Bajo, Paulo Novais:
Detection of Behavioral Patterns for Increasing Attentiveness Level. ISDA 2016: 592-601
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Dalila Durães, Amparo Jiménez, Javier Bajo, Paulo Novais:
Monitoring Level Attention Approach in Learning Activities. MIS4TEL 2016: 33-40
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Dalila Durães, Davide Carneiro, Javier Bajo, Paulo Novais:
Using Computer Peripheral Devices to Measure Attentiveness. PAAMS (Special Sessions) 2016: 147-155

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