Publications scientifiques

Publications scientifiques récentes

On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI)

M. Grichi, M. Abidi, F. Jaafar, E. E. Eghan and B. Adams, "On the Impact of Interlanguage Dependencies in Multilanguage Systems Empirical Case Study on Java Native Interface Applications (JNI)," in IEEE Transactions on Reliability, Volume 70, No. 1, pp. 428-440, March 2021.

Médias sociaux : perspectives sur les défis liés à la cybersécurité, la gouvernementalité algorithmique et l’intelligence artificielle

S. Pierre et F. Jaafar. Médias sociaux : perspectives sur les défis liés à la cybersécurité, la gouvernementalité algorithmique et l'intelligence artificielle. Presses de l'Université Laval. 11 février 2021, 192 pages.

CRIM’s System Description for the Third Edition of DIHARD Challenge 2020

Alam, J., and Gupta, V., « CRIM’s System Description for the Third Edition of DIHARD Challenge 2020 », in The Third DIHARD Speech Diarization Challenge Workshop, January 23, 2021.

Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness

Z.A. Kermansaravi, M.S. Rahman, F. Khomh, F. Jaafar and Y.-G. Guéhéneuc, « Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness » in Empirical Software Engineering, Springer,  Issue 1/2021.

Train fast while reducing false positives: improving animal classification performance using Convolutional Neural Networks

M. Moreni, J. Theau and S. Foucher, « Train fast while reducing false positives: improving animal classification performance using Convolutional Neural Networks », in Geomatics, no. 1: 34-49, 2021.

Training Data Quality

H. Pölönen and al., « Training Data Quality  », IVVES Project, Deliverable 2.2, 52 pages, December 31, 2020.

Validation methods and techniques for evolving systems considering use case requirements

O. Nguena Timo, A. Petrenko and al., « Validation methods and techniques for evolving systems considering use case requirements », IVVES Project, Deliverable 3.2, 55 pages, December 21, 2020.

New Interferometric Phase Unwrapping Method Based on Energy Minimization From Contextual Modeling

A. Tlili, F. Cavayas, S. Foucher and G. L. Siles, « New Interferometric Phase Unwrapping Method Based on Energy Minimization From Contextual Modeling », in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 13, pp. 6524-6532, December 2020.

The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software

R. Kuhn and al., « The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software », in Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), December 8-13, 2020.

Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning

J. Boulent, P.L. St-Charles, S. Foucher and J. Théau, « Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning », in Frontiers in Artificial Intelligence, November 2020.

A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers

J. Montiero, J. Alam, and T. Falk, "A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers", in Speaker and Language Recognition Workshop (Odyssey 2020), Tokyo, Japan, November, 2020.

Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge

J. Alam, G. Boulianne, and al., "Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge", in Speaker and Language Recognition Workshop (Odyssey 2020), Tokyo, Japan, November, 2020, pp. 289-295.

A Circular Invariant Convolution Model-Based Mapping for Multimodal Change Detection

R. Touati, M. Mignotte and M. Dahmane, « A Circular Invariant Convolution Model-Based Mapping for Multimodal Change Detection », in Advances in Science, Technology and Engineering Systems Journal, Vol. 5, No. 5, pp. 1288-1298, 2020.

OGC Earth Observation Applications Pilot: CRIM Engineering Report

T. Landry, F. Charette-Migneault, M. Beaulieu, M. Provencher, L.-D. Perron, D. Byrns and S. Foucher, « OGC Earth Observation Applications Pilot: CRIM Engineering Report », OGC Public Engineering Report, OGC 20-045, October 26, 2020.

A Study of Inductive Biases for Unsupervised Speech Representation Learning

G. Boulianne, "A Study of Inductive Biases for Unsupervised Speech Representation Learning", in IEEE/ACM Transactions on Acoustics, Speech and Language Processing, October, 2020, pp. 2781-2795.

On the Use of Blind Channel Response Estimation and a Residual Neural Network to Detect Physical Access Attacks to Speaker Verification Systems

A. R. Avila, J. Alam, F. O. Costa Prado, D. O’Shaughnessy, and T. H. Falk, "On the Use of Blind Channel Response Estimation and a Residual Neural Network to Detect Physical Access Attacks to Speaker Verification Systems" in Computer Speech & Language journal, Elsevier, October, 2020.

Generalized End-to-End Detection of Spoofing Attacks to Automatic Speaker Recognizers

J. Montiero, J, Alam, and T. Falk, "Generalized End-to-End Detection of Spoofing Attacks to Automatic Speaker Recognizers", Special issue of Computer Speech & Language Journal, Volume 63, September, 2020.

Unsupervised Speech Representation Learning

G. Boulianne, « Unsupervised Speech Representation Learning ». Thèse doctorat (Ph. D.), École de Technologie Supérieure, 2020.

Demystifying the Cyber Attribution: An Exploratory Study

F. Jaafar, F. Avellaneda, and E.-H. Alikacem, "Demystifying the Cyber Attribution: An Exploratory Study" in IEEE Cyber Science and Technology Congress (CyberSciTech 2020), August 18-24, 2020.

Behavioral Study of Malware Affecting Financial Institutions and Clients

R. Mishra, S. Butakov, F. Jaafar, and N. Memon, "Behavioral Study of Malware Affecting Financial Institutions and Clients" in IEEE Cyber Science and Technology Congress (CyberSciTech 2020), August 18-24, 2020.

A short description of the solver EvalMaxSAT

F. Avellaneda, "A short description of the solver EvalMaxSAT", in MaxSAT Evaluation 2020 (MSE 2020), pp. 8-9, Alghero, Italy, July 5-9 2020.

An End-to-End Approach for the Verification Problem: Learning The Right Distance

J. Monteiro, I. Albuquerque, J. Alam, D. Hjelm, T. Falk, and C. Jacques, "An End-to-End Approach for the Verification Problem: Learning The Right Distance", in 37th International Conference on Machine Learning (ICML 2020), July, 12-18, 2020.

A Preliminary Systematic Mapping on Software Engineering for Robotic Systems: A Software Quality Perspective

M. Santos, F. Jafaar, B. Minetto Napoleão, F. Petrillo, and D. Ameyed, "A Preliminary Systematic Mapping on Software Engineering for Robotic Systems: A Software Quality Perspective", in 2nd International Workshop on Software Engineering Research & Practices for the Internet of Things (SERP4IoT 2020) @ICSE 2020, June 27 to July 19, 2020.

Study of Security Issues in Platform-as-a-Service (PaaS) Cloud Model

F. Jaafar, W. Isharufe, and S. Butakov, "Study of Security Issues in Platform-as-a-Service (PaaS) Cloud Model", in IEEE 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE 2020), Istanbul, Turquie, June 12-13, 2020.

Securing the Authentication Process of LTE Base Stations

A. B. Seyi, F. Jafaar, and R. Ruhl, "Securing the Authentication Process of LTE Base Stations", in IEEE 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE 2020), Istanbul, Turquie, June 12-13, 2020.

The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software

R. Kuhn and al., "The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software", NRC Publication, June, 2020.

On the Use of the I-vector Speech Representation for Instrumental Quality Measurement

A. R. Avila, J. Alam, D. O’Shaughnessy, and T. Falk, "On the Use of the I-vector Speech Representation for Instrumental Quality Measurement" in Quality and User Experience Journal, Springer, Volume 5, Number 6, June, 2020, pp. 1-14.

An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers

J. Monteiro, J. Alam, and T. Falk, "An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers", in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020). pp. 6599-6603, Barcelona, Spain, May 4-8, 2020.

Automatic Transcription Challenges for Inuktitut, a Low-Resource Polysynthetic Language

V. Gupta and G. Boulianne, “Automatic Transcription Challenges for Inuktitut, a Low-Resource Polysynthetic Language”, in Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), pp. 2521-2527, May, 2020.

On the Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification

J. Montiero, J. Alam, and T. Falk, "On the Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification" in Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), pp. 3566-3572, May, 2020.

Speech Transcription Challenges for Resource Constrained Indigenous Language Cree

V. Gupta and G. Boulianne, “Speech Transcription Challenges for Resource Constrained Indigenous Language Cree”, in Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL) @LREC 2020, pp. 362–367, May, 2020.

A Multimodal Non-Intrusive Stress Monitoring from the Pleasure-Arousal Emotional Dimensions

M. Dahmane, J. Alam, P. St-Charles, M. Lalonde, K. Heffner and S. Foucher, "A Multimodal Non-Intrusive Stress Monitoring from the Pleasure-Arousal Emotional Dimensions," in IEEE Transactions on Affective Computing, April 20, 2020.

Application des réseaux neuronaux à convolution à l’analyse des images radar polarimétriques en milieu urbain

M. Beaulieu, « Application des réseaux neuronaux à convolution à l’analyse des images radar polarimétriques en milieu urbain ». Mémoire de Maîtrise ès sciences (M. Sc.) en Géographie, Université de Montréal. 2020.

Partly Uncoupled Siamese Model for Change Detection from Heterogeneous Remote Sensing Imagery

R. Touati, M. Mignotte, and M. Dahmane, "Partly Uncoupled Siamese Model for Change Detection from Heterogeneous Remote Sensing Imagery" in Journal of Remote Sensing & GIS, Volume 9, (1), pp. 272, March, 2020.

Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model

R. Touati, M. Mignotte, and M. Dahmane, « Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model », IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing, Volume 13, pp. 588-600, January, 2020.