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Nombre de documents: 276

Abedi, M. (2022). Towards a Reference Architecture of AI-Based Job Interview Systems [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Aber Aouni, A. (2022). Utilisation d'un espace latent pour une déduplication de bogues rapide [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages. Lien externe

Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (2022). Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach. IEEE Systems Journal, 16(4), 5357-5368. Lien externe

Agha, A., Otsu, K., Morrell, B., Fan, D., Thakker, R., Santamaria-Navarro, A., Kim, S.-K., Bouman, A., Lei, X., Edlund, J., Ginting, M., Ebadi, K., Anderson, M., Pailevanian, T., Terry, E., Wolf, M., Tagliabue, A., Vaquero, T., Palieri, M., ... Burdick, J. (2022). NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics, 2(1), 1432-1506. Lien externe

Agrawal, V., Lin, Y.-H., & Cheng, J. (juin 2022). Understanding the Characteristics of Visual Contents in Open Source Issue Discussions: A Case Study of Jupyter Notebook [Communication écrite]. 26th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Gothenburg, Sweden. Lien externe

Ahmad, H., Holoday, C., Bertram, I., Angstadt, K., Sharafi, Z., & Weimer, W. (novembre 2022). LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery [Communication écrite]. 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022), Singapore. Lien externe

Alfalqi, K. (2022). Mapping Approach of Emergency Events and Locations Based on Social Networks and Machine Learning [Thèse de doctorat, Polytechnique Montréal]. Disponible

Alfalqi, K., & Bellaïche, M. (2022). An Emergency Event Detection Ensemble Model Based on Big Data. Big Data and Cognitive Computing, 6(2), 18 pages. Lien externe

Alghamdi, R. (2022). Intrusion Detection System for Internet of Things with Deep Learning [Thèse de doctorat, Polytechnique Montréal]. Disponible

Alghamdi, R., & Bellaïche, M. (2022). A Cascaded Federated Deep Learning Based Framework For Detecting Wormhole Attacks in IoT Networks. Computers & Security, 125, 17 pages. Lien externe

Alghamdi, R., & Bellaïche, M. (2022). Evaluation and Selection Models for Ensemble Intrusion Detection Systems in IoT. IoT, 3(2), 285-314. Lien externe

Alley, S., Jackson, E., Olivié, D., van der Heide, U. A., Ménard, C., & Kadoury, S. (2022). Effect of magnetic resonance imaging pre-processing on the performance of model-based prostate tumor probability mapping. Physics in Medicine & Biology, 67(24), 3796-3808. Lien externe

Alsalem, M. A., Alamoodi, A. H., Albahri, O. S., Dawood, K. A., Mohammed, R. T., Alnoor, A., Zaidan, A. A., Albahri, A. S., Zaidan, B. B., Jumaah, F. M., & Al-Obaidi, J. R. (2022). Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review. Artificial Intelligence Review, 55(6), 4979-5062. Lien externe

Alsheghri, A., Ghadiri, F., Zhang, Y., Lessard, O., Keren, J., Cheriet, F., & Guibault, F. (février 2022). Semi-supervised segmentation of tooth from 3D scanned dental arches [Affiche]. SPIE Medical Imaging 2022 : Image processing, San Diego, California, USA (6 pages). Lien externe

Amine Elforaici, M. E., Montagnon, E., Azzi, F., Trudel, D., Nguyen, B., Turcotte, S., Tang, A., & Kadoury, S. (mars 2022). Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases [Communication écrite]. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India (5 pages). Lien externe

Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., van Ginneken, B., Bilello, M., Bilic, P., Christ, P. F., Do, R. K. G., Gollub, M. J., Heckers, S. H., Huisman, H., Jarnagin, W. R., ... Cardoso, M. J. (2022). The medical segmentation decathlon. Nature Communications, 13(1), 4128 (13 pages). Disponible

Arseneault, S., Vielfaure, D., & Beltrame, G. (mai 2022). RASS: Risk-Aware Swarm Storage [Communication écrite]. 21st International Conference on Autonomous Agents and Multiagent Systems. Lien externe

Asmar, M. (2022). A Computer Vision-Based Automatic Transcription of Guitar Music from RGBD Videos [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Aurora Dugo, A. T., Lefoul, J.-B., Ben-Salem, A., Harnois, S., Göhring de Magalhães, F., & Nicolescu, G. (juin 2022). Efficient Scheduling, Mapping and Memory Bandwidth Allocation for Safety-Critical Systems [Communication écrite]. 20th IEEE International Interregional NEWCAS Conference (NEWCAS 2022), Quebec City, QC, Canada. Lien externe

Aurora, V. (2022). Classification non supervisée de cyberattaques par inspection de paquets [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Azambuja, R. , Fouad, H., Bouteiller, Y., Sol, C., & Beltrame, G. (mai 2022). When being soft makes you tough: a collision-resilient quadcopter inspired by arthropods' exoskeletons [Communication écrite]. IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, PA, USA. Lien externe

Badawy, Y. (2022). Weakly Supervised Anomaly Detection Pipeline for Histology Images of Placental Villi [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Badran, K., Côté, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2022). Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? [Ensemble de données]. Lien externe

Bahra, N. (2022). Mobility Prediction in Self-Organizing Cellular Networks [Thèse de doctorat, Polytechnique Montréal]. Disponible

Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (2022). Execution trace-based model verification to analyze multicore and real-time systems. Concurrency and Computation-Practice & Experience, 34(17), e6974 (26 pages). Lien externe

Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (août 2022). Overcoming challenges in leverage GANS for few-shots data augmentation [Affiche]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada. Lien externe

Bedard, C., Lutkebohle, I., & Dagenais, M. (2022). ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2. IEEE Robotics and Automation Letters, 7(3), 6511-6518. Lien externe

Belkhiri, A., Bushehri, A. S., & Dagenais, M. (juillet 2022). Virtual Networks Link-Layer Topologies Discovery through Host-based Tracing [Communication écrite]. International Conference on Electrical, Computer and Energy Technologies (ICECET 2022), Pragues, Czech Republic (8 pages). Lien externe

Ben Braiek, H. (2022). Debugging and Testing Deep Learning Software Systems [Thèse de doctorat, Polytechnique Montréal]. Disponible

Ben Braiek, H., Reid, T., & Khomh, F. (2022). Physics-guided adversarial machine learning for aircraft systems simulation. IEEE Transactions on Reliability, 72(3), 1161-1175. Lien externe

Ben Braiek, H., Tfaily, A., Khomh, F., Reid, T., & Guida, C. (octobre 2022). SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design [Communication écrite]. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Rochester, MI, USA (13 pages). Lien externe

Bertalan, V. G. F., & Ruiz, E. E. S. (octobre 2022). Words Matter Using Machine Learning to Verify How Words Absolve or Condemn Defendants [Communication écrite]. 1st International Workshop on Social Communication and Information Activity in Digital Humanities (SCIA 2022), Lviv, Ukraine. Lien externe

Bofill, M., Coll, J., Garcia, M., Giraldez-Cru, J., Pesant, G., Suy, J., & Villaret, M. (2022). Constraint solving approaches to the business-to-business meeting scheduling problem. Journal of Artificial Intelligence Research, 74, 263-301. Lien externe

Bouchard, I., Rancourt, M.-E., Aloise, D., & Kalaitzis, F. (2022). On transfer learning for building damage assessment from satellite imagery in emergency contexts. Remote Sensing, 14(11), 29 pages. Lien externe

Boucheneb, H., Barkaoui, K., Xing, Q., Wang, K.Z., Liu, G.Y., & Li, Z.W. (2022). Time based deadlock prevention for Petri nets. Automatica, 137, 110119 (11 pages). Lien externe

Bourque Bédard, C. (2022). Message Flow Analysis for Distributed Real-Time Control Systems [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Bouteiller, Y. (2022). Managing the World Complexity: From Linear Regression to Deep Learning. Dans Foundations of Robotics: A Multidisciplinary Approach with Python and ROS (p. 441-472). Lien externe

Burlats, A. (2022). Optimisation de la recherche combinatoire d'un solveur mêlant programmation par contrainte et belief propagation [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Businge, J., Openja, M., Nadi, S., & Berger, T. (2022). Reuse and maintenance practices among divergent forks in three software ecosystems. Empirical Software Engineering, 27(2), 54 (47 pages). Lien externe

Cappart, Q., Bergman, D., Rousseau, L.-M., Premont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. Lien externe

Carlino, F., Diana, A., Ventriglia, A., Piccolo, A., Mocerino, C., Riccardi, F., Bilancia, D., Giotta, F., Antoniol, G., Famiglietti, V., Feliciano, S., Cangiano, R., Lobianco, L., Pellegrino, B., De Vita, F., Ciardiello, F., & Orditura, M. (2022). HER2-Low Status Does Not Affect Survival Outcomes of Patients with Metastatic Breast Cancer (MBC) Undergoing First-Line Treatment with Endocrine Therapy plus Palbociclib: Results of a Multicenter, Retrospective Cohort Study. Cancers, 14(20), 4981 (11 pages). Lien externe

Chaillard, D. (2022). Combinaison de la programmation par contraintes et de l'apprentissage par renforcement profond pour résoudre les tâches de planification IA classique [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Chalangar, H., Ould-Bachir, T., Sheshyekani, K., & Mahseredjian, J. (2022). Methods for the Accurate Real-Time Simulation of High Frequency Power Converters. IEEE Transactions on Industrial Electronics, 69(9), 9613-9623. Lien externe

Charpentier, A. (2022). Optimisation de la sélection de techniques déceptives pour la sécurité et la cyber-résilience [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Charpentier, A., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (août 2022). Deep reinforcement learning-based defense strategy selection [Communication écrite]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (11 pages). Lien externe

Cherni, G. (2022). Apprentissage profond multimodal pour l'estimation de pose d'humains alités [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Chowdhury, M. A. R., Abdalkareem, R., Shihab, E., & Adams, B. (2022). On the Untriviality of Trivial Packages: An Empirical Study of npm JavaScript Packages. IEEE Transactions on Software Engineering, 48(8), 2695-2708. Lien externe

Clouatre, L., Parthasarathi, P., Zouaq, A., & Anbil Parthipan, S. C. (mai 2022). Local Structure Matters Most: Perturbation Study in NLU [Communication écrite]. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL 2022), Dublin, IRELAND. Lien externe

Clouâtre-Latraverse, L., Parthasarathi, P., Zouaq, A., & Chandar, S. (2022). Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. Findings of the Association for Computational Linguistics: EMNLP 2022, 5375-5396. Lien externe

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582. Lien externe

Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (mai 2022). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Communication écrite]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. Lien externe

Courtade, E. (2022). Importance des variables et régressions statistiques imitant l'heuristique de branchement fort dans un problème de rotation d'équipages [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Coviello, C., Romano, S., Scanniello, G., & Antoniol, G. (2022). GASSER: A Multi-Objective Evolutionary Approach for Test Suite Reduction. International Journal of Software Engineering and Knowledge Engineering, 32(2), 193-225. Lien externe

Crochelet, P., Neal, C., Boulahia Cuppens, N., & Cuppens, F. (décembre 2022). Attacker Attribution via Characteristics Inference Using Honeypot Data [Communication écrite]. 16th International Conference on Network and System Security (NSS 2022), Denarau Island, Fiji. Lien externe

Cros, S., Bouttier, H., Nguyen-Tan, P. F., Vorontsov, E., & Kadoury, S. (2022). Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers. Journal of Applied Clinical Medical Physics, 23(8), e13655 (15 pages). Lien externe

Dah-Achinanon, U. (2022). A Runtime Environment for Micro and Macro UAV Swarms [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Dakhel, A. M., Desmarais, M. C., & Khomh, F. (2022). Dev2vec: Representing Domain Expertise of Developers in an Embedding Space [Ensemble de données]. Lien externe

Dambri, O. A., & Cherkaoui, S. (2022). Modeling self-assembly of polymer-based wired nano-communication channel. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 8(2), 107-118. Lien externe

Desclaux, O. (2022). Protocole pour la création d'une base de données multimodale d'estimation de pose 3D d'enfants en salle de soins intensifs [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Desmarais, M. C. (juin 2022). Un survol de la modélisation de l'expertise et du défi de de l'évaluer dans un contexte ouvert [Communication écrite]. Environnements Informatiques pour l'Apprentissage Humain et Intelligence Artificielle (EIAH et IA), Saint-Étienne, France. Non disponible

Desrosiers, C., Letenneur, M., Bernier, F., Cheriet, F., Brailovski, V., Piché, N., & Guibault, F. (février 2022). Correlative laser confocal microscopy study and multimmodal 2D/3D registration as ground truth for x-ray inspection of internal defects in LPBF manufacturing [Communication écrite]. 11th Conference on Industrial Computed Tomography (ICT 2022), Wels, Austria. Lien externe

Diana, A., Carlino, F., Buono, G., Antoniol, G., Famiglietti, V., De Angelis, C., Carrano, S., Piccolo, A., De Vita, F., Ciardiello, F., Daniele, B., Arpino, G., & Orditura, M. (2022). Prognostic Relevance of Progesterone Receptor Levels in Early Luminal-Like HER2 Negative Breast Cancer Subtypes: A Retrospective Analysis. Frontiers in Oncology, 12. Lien externe

Dimitrijevic, A., Noblet, V., & De Leener, B. (juillet 2022). Deep learning-based longitudinal intra-subject registration of pediatric brain MR images [Communication écrite]. 10th International Workshop on Biomedical Image Registration (WBIR 2022), Munich, Germany (5 pages). Lien externe

Dimitrijevic, A., Noblet, V., & De Leener, B. (mai 2022). Medical image registration using deep learning techniques applied to pediatric magnetic resonance imaging (MRI) brain scans [Communication écrite]. 31st ISMRT Joint annual meeting ISMRM-ESMRMB, London, England. Lien externe

Ding, Z., Li, H., & Shang, W. (mars 2022). LoGenText: Automatically generating logging texts using neural machine translation [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. Lien externe

Ding, Z., Li, H., Shang, W., & Chen, T.-H. P. (2022). Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. Empirical Software Engineering, 27(3), 38 pages. Lien externe

Dominguez, A., Saunier, N., Alcaraz, C., Al Mallah, R., & Fernandez, J. M. (janvier 2022). Reinforcement-Learning-Based Attack on Adaptive Traffic Control Systems [Communication écrite]. Transportation Research Board Annual Meeting, Washington, D.C. Lien externe

Dourid, I. (2022). Caractérisation et modélisation d'un réacteur de pyrolyse micro-ondes en vue de son contrôle en temps-réel [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Duplessis-Guindon, P. (2022). Méthodes d'apprentissage profond pour l'estimation de disparités d'une paire d'images multispectrale [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

El Aoun, M. R. (2022). Empirical Studies of Quantum Programming Issues [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

El-Sayegh, B., Cacciari, L. P., Leduc-Primeau, F., Sawan, M., & Dumoulin, C. (2022). The state of pelvic floor muscle dynamometry: A scoping review [Commentaire ou lettre]. Neurourology and Urodynamics, 42(2), 478-499. Lien externe

Elfatimi, E., Eryigit, R., & Elfatimi, L. (2022). Beans Leaf Diseases Classification Using MobileNet Models. IEEE Access, 10, 9471-9482. Lien externe

Erfan, F., Bellaïche, M., & Halabi, T. (août 2022). Game-theoretic Designs for Blockchain-based IoT: Taxonomy and Research Directions [Communication écrite]. IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS 2022), Newark, CA, USA. Lien externe

Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (février 2022). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Communication écrite]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). Lien externe

Favreau, C.-O. (2022). Learning to Rank with BERT for Argument Quality [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Favreau, C.-O., Zouaq, A., & Bhatnagar, S. (mai 2022). Learning to Rank with BERT for Argument Quality Evaluation [Communication écrite]. 35th International Florida Artificial Intelligence Research Society Conference (FLAIRS-35 2022), Jensen Beach, FL, USA (6 pages). Lien externe

Ferreira, I., Adams, B., & Cheng, J. (mai 2022). How heated is it? Understanding GitHub locked issues [Communication écrite]. IEEE/ACM 19th International Conference on Mining Software Repositories (MSR 2022), Pittsburgh, PA, USA. Lien externe

Ferreira, I., Yang, N., Serebrenik, A., & Adams, B. (2022). Why do projects join the Apache Software Foundation? [Ensemble de données]. Lien externe

Filali, A., Mlika, Z., Cherkaoui, S., & Kobbane, A. (2022). Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services. IEEE Transactions on Network Science and Engineering, 9(4), 2174-2187. Lien externe

Fiorini, A., & Dagenais, M. (2022). Visualization of profiling and tracing in CPU-GPU programs. Concurrency and Computation: Practice and Experience, 34(23), 16 pages. Lien externe

Font, L., Gagnon, M., Leduc, N., & Richard, P. (2022). Intelligence in QED-Tutrix: Balancing the Interactions Between the Natural Intelligence of the User and the Artificial Intelligence of the Tutor Software. Dans Richard, P. R., Pilar Vélez, M., & Van Vaerenbergh, S. (édit.), Mathematics Education in the Age of Artificial Intelligence : How Artificial Intelligence can Serve Mathematical Human Learning (Vol. 17, p. 45-76). Lien externe

Fouad, H., & Beltrame, G. (2022). Energy autonomy for robot systems with constrained resources. IEEE Transactions on Robotics, 38(6), 3675-3693. Lien externe

Fournier, Q. (2022). Machine Learning for Anomaly Detection in Kernel Traces [Thèse de doctorat, Polytechnique Montréal]. Disponible

Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (juillet 2022). Real-time 3D shape sensing with a random Fiber Bragg grating triplet [Communication écrite]. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Vancouver, British Columbia. Lien externe

Gallaba, K., Lamothe, M., & McIntosh, S. (mai 2022). Lessons from eight years of operational data from a continuous integration service: An exploratory case study of CircleCI [Communication écrite]. IEEE/ACM 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA. Lien externe

Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (avril 2022). Latent variable sequential set transformers for joint multi-agent motion prediction [Communication écrite]. 10th International Conference on Learning Representations (ICLR 2022). Lien externe

Grajales, D., Kadoury, S., Shams, R., Barkati, M., Delouya, G., Béliveau-Nadeau, D., Nicolas, B., Le, W. T., Benhacene-Boudam, M.-K., Juneau, D., DaSilva, J. N., Carrier, J.-F., Hautvast, G., & Ménard, C. (2022). Performance of an integrated multimodality image guidance and dose-planning system supporting tumor-targeted HDR brachytherapy for prostate cancer. Radiotherapy and Oncology, 166, 154-161. Lien externe

Hajlaoui, R., Bilodeau, G.-A., & Rockemann, J. (août 2022). MTGR: Improving Emotion and Sentiment Analysis with Gated Residual Networks [Communication écrite]. 26th International Conference on Pattern Recognition (ICPR Workshop 2022), Montreal, Qc, Canada. Lien externe

Halabi, T., Bellaïche, M., & Fung, B. C. M. (novembre 2022). Towards Adaptive Cybersecurity for Green IoT [Communication écrite]. IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS 2022), Bali, Indonesia. Lien externe

Hamdaqa, M., Met, L. A. P., & Qasse, I. (2022). iContractML 2.0: A domain-specific language for modeling and deploying smart contracts onto multiple blockchain platforms. Information and Software Technology, 144, 14 pages. Lien externe

Hassan, S., Li, H., & Hassan, A. E. (mars 2022). On the importance of performing app analysis within peer groups [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. Lien externe

Hébert-Lavoie, M., Doyon-Poulin, P., & Ozell, B. (2022). Identification of visual functional thresholds for immersion assessment in virtual reality. PRESENCE: Virtual and Augmented Reality, 29, 1-22. Disponible

Hellman, J., Chen, J., Uddin, M. S., Cheng, J., & Guo, J. L. C. (mai 2022). Characterizing user behaviors in open-source software user forums: An empirical study [Communication écrite]. 15th ACM/IEEE International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2022), Pittsburgh, PA, USA. Lien externe

Hirigoyen, R. (2022). Génération automatique de requêtes SPARQL à partir de questions en langue naturelle [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Hirigoyen, R., Zouaq, A., & Reyd, S. (novembre 2022). A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation [Communication écrite]. 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, (AACL-IJCNLP 2022) (11 pages). Non disponible

Houngbadji, T. (septembre 2022). An Imputation Reinforcement Learning Agent For Power Transformers Load Study [Communication écrite]. IEEE International Conference on Power Systems Technology (POWERCON 2022), Kuala Lumpur, Malaysia (6 pages). Lien externe

Humeniuk, D., Antoniol, G., & Khomh, F. (mai 2022). ***AmbieGen tool at the SBST 2022 Tool Competition [Communication écrite]. 15th Search-Based Software Testing Workshop (SBST 2022). Lien externe

Humeniuk, D., Khomh, F., & Antoniol, G. (2022). A search-based framework for automatic generation of testing environments for cyber-physical systems. Information and Software Technology, 149, 106936 (17 pages). Lien externe

Hussain, A., Hosseinimanesh, G., Naeimabadi, S., Al kayed, N., & Alam, R. (septembre 2021). WearMask in COVID-19: Identification of Wearing Facemask Based on Using CNN Model and Pre-trained CNN Models [Communication écrite]. SAI Intelligent Systems Conference (IntelliSys 2021), Berlin, Germany. Lien externe

Ikama, A., Du, V., Belias, P., Muse, B. A., Khomh, F., & Hamdaqa, M. (octobre 2022). Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication [Communication écrite]. 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022), Limassol, Cyprus. Lien externe

Iovino, F., Diana, A., Carlino, F., Ferraraccio, F., Antoniol, G., Fisone, F., Perrone, A., Zito Marino, F., Panarese, I., Tathode, M. S., Caraglia, M., Gatta, G., Ruggiero, R., Parisi, S., De Vita, F., Ciardiello, F., Docimo, L., & Orditura, M. (2022). Expression of c-MET in Estrogen Receptor Positive and HER2 Negative Resected Breast Cancer Correlated with a Poor Prognosis. Journal of Clinical Medicine, 11(23), 6987 (15 pages). Lien externe

Italis, O., Pierre, S., & Quintero, A. (septembre 2022). Blockchain and Mobile Payment: Assessment on Privacy and Usability and a Scheme for Enhancement [Communication écrite]. 4th International Conference on Blockchain Computing and Applications (BCCA 2022), San Antonio, TX, USA. Lien externe

Italis, O., Pierre, S., & Quintero, A. (2022). Mobile Payment Platforms: Taxonomy, Architecture, Security, and Integration with Blockchain. Academia Letters. Lien externe

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Rasolroveicy, M., & Fokaefs, M.-E. (septembre 2022). Performance and Cost Evaluation of Public Blockchain: An NFT Marketplace Case Study [Communication écrite]. 4th Conference on Blockchain Research and Applications for Innovative Networks and Services (BRAINS 2022), Paris, France. Lien externe

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Richer St-Onge, P. (2022). Architecture pour la recherche exacte dans le plan des données d'un processeur réseau implémenté sur FPGA [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Richie-Halford, A., Cieslak, M., Ai, L., Caffarra, S., Covitz, S., Franco, A. R., Karipidis, I. I., Kruper, J., Milham, M. P., Avelar‐Pereira, B., Roy, E., Sydnor, V. J., Yeatman, J. D., Abbott, N. J., Anderson, J. A. E., Gagana, B., Bleile, M.L., Bloomfield, P. S., Bottom, V., ... Rokem, A. (2022). An analysis-ready and quality controlled resource for pediatric brain white-matter research. Scientific Data, 9(1). Lien externe

Rocha, D., Aloise, D., Aloise, D. J., & Contardo, C. (2022). Visual attractiveness in vehicle routing via bi-objective optimization. Computers & Operations Research, 137, 105507 (14 pages). Disponible

Rodrigues, I. M., Aloise, D., & Fernandes, E. R. (mai 2022). FaST: A linear time stack trace alignment heuristic for crash report deduplication [Communication écrite]. Mining Software Repositories Conference (MSR 2022), Pittsburgh, PA, USA. Lien externe

Rodrigues, I. M., Khvorov, A., Aloise, D., Vasiliev, R., Koznov, D., Fernandes, E. R., Chernishev, G., Luciv, D., & Povarov, N. (2022). TraceSim: An Alignment Method for Computing Stack Trace Similarity [Ensemble de données]. Lien externe

Rousselot, A. (2022). Banc de test et protocole d'authentification pour le système d'identification automatique maritime [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Roy, J., Girgis, R., Romoff, J., Bacon, P.-L., & Pal, C. J. (juillet 2022). Direct Behavior Specification via Constrained Reinforcement Learning [Communication écrite]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA. Lien externe

Roy, S., Laberge, G., Roy, B., Khomh, F., Nikanjam, A., & Mondal, S. (octobre 2022). Why Don't XAI Techniques Agree? Characterizing the Disagreements Between Post-hoc Explanations of Defect Predictions [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. Lien externe

Saber, R., Henault, D., Vorontsov, E., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (février 2022). Prediction of CD3 T-cell infiltration status in colorectal liver metastases: a radiomics-based imaging biomarker [Communication écrite]. Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA (7 pages). Lien externe

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Sanou, A. K. L. (2022). Modèle IoT de gestion du feu en temps réel dans les villes intelligentes [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Sattaridaghian, F. (2022). Wearable Internet of Medical Things (IoMT) 5G Secure Remote Monitoring System Model in Smart Cities [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Sepasgozar, S. S., & Pierre, S. (octobre 2022). A Comparative Study of Artificial Intelligence Algorithms for Network Traffic Prediction in VANET [Communication écrite]. 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022), Thessaloniki, Greece. Lien externe

Sepasgozar, S. S., & Pierre, S. (2022). Fed-NTP: A federated learning algorithm for network traffic prediction in VANET. IEEE Access, 10, 119607-119616. Disponible

Sepasgozar, S. S., & Pierre, S. (2022). Network Traffic Prediction Model Considering Road Traffic Parameters Using Artificial Intelligence Methods in VANET. IEEE Access, 10, 8227-8242. Lien externe

Shajoonnezhad, N., & Nikanjam, A. (2022). A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data. International Journal of Machine Learning and Cybernetics, 14(3), 947-958. Lien externe

Shaker Sepasgozar, S. (2022). Network Traffic Prediction Based on Artificial Intelligence in Vehicular Ad-Hoc Networks [Thèse de doctorat, Polytechnique Montréal]. Disponible

Solano, M. M., Richer, E., Cheriet, F., Lesk, M. R., & Costantino, S. (2022). Mapping Pulsatile Optic Nerve Head Deformation Using OCT. Ophthalmology Science, 2(4), 11 pages. Lien externe

Soud, M., Qasse, I., Liebel, G., & Hamdaqa, M. (2022). AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes [Ensemble de données]. Lien externe

Stoelen, M. F., de Azambuja, R., Rodriguez, B. L., Bonsignorio, F., & Cangelosi, A. (2022). The GummiArm Project: A Replicable and Variable-Stiffness Robot Arm for Experiments on Embodied AI. Frontiers in Neurorobotics, 16, 836772 (19 pages). Lien externe

Taik, A., Mlika, Z., & Cherkaoui, S. (2022). Clustered Vehicular Federated Learning: Process and Optimization. IEEE Transactions on Intelligent Transportation Systems, 23(12), 25371-25383. Lien externe

Taïk, A., Mlika, Z., & Cherkaoui, S. (2022). Data-Aware Device Scheduling for Federated Edge Learning. IEEE Transactions on Cognitive Communications and Networking, 8(1), 408-421. Lien externe

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Tesfaldet, M., Nowrouzezahrai, D., & Pal, C. J. (novembre 2022). Attention-based Neural Cellular Automata [Affiche]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe

Tidjon, L. N., & Khomh, F. (2022). The different faces of AI ethics acrosse the world : a principle-to-pratice gap analysis. IEEE Transactions on Artificial Intelligence, 4(4), 820-839. Lien externe

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Tran, D. H. (2022). Deep Learning Model Generalization for Microscopy Image Analysis [Thèse de doctorat, Polytechnique Montréal]. Disponible

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Ung, K., Nemer, O., Krishna, A., Chioua, M., & Doyon-Poulin, P. (octobre 2022). PER4Mance Prototyping environment for research on human-machine interactions for alarm floods management: the case study of a chemical plant process control [Communication écrite]. 66th International Annual Meeting of the Human Factors and Ergonomics Society, Washington, DC. Publié dans Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1). Disponible

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Varadharajan, V. S. (2022). Communication, Coordination and Organization of Practical Robot Swarms [Thèse de doctorat, Polytechnique Montréal]. Disponible

Varadharajan, V. S., & Beltrame, G. (2022). Get Together! Multi-robot Systems: Bio-Inspired Concepts and Deployment Challenges. Dans Foundations of Robotics: A Multidisciplinary Approach with Python and ROS (p. 299-332). Lien externe

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Wan, Y., Rahimi-Kalahroudi, A., Rajendran, J., Momennejad, I., Anbil Parthipan, S. C., & van Seijen, H. (juillet 2022). Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods [Communication écrite]. 39th International Conference on Machine Learning (ICML 2022), Baltimore, MD. Lien externe

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Wang, W., Cheng, J., & Guo, J. L. C. (2022). How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges. IEEE Software, 39(1), 76-83. Lien externe

Washizaki, H., Khomh, F., Gueheneuc, Y. G., Takeuchi, H., Natori, N., Doi, T., & Okuda, S. (2022). Software-Engineering Design Patterns for Machine Learning Applications. Computer, 55(3), 30-39. Lien externe

Weiss, M., Rahaman, N., Locatello, F., Pal, C. J., Bengio, Y., Scholkopf, B., Ballas, N., & Li, L. E. (novembre 2022). Neural Attentive Circuits [Affiche]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe

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Yaali, J., Gregoire, V., & Hurtut, T. (2022). HFTViz: Visualization for the exploration of high frequency trading data. Information Visualization, 21(2), 182-193. Lien externe

Yahmed, A. H., Ben Braiek, H., Khomh, F., Bouzidi, S., & Zaatour, R. (2022). DiverGet: a Search-Based Software Testing approach for Deep Neural Network Quantization assessment. Empirical Software Engineering, 27(7), 193 (32 pages). Lien externe

Yang, N., Ferreira, I., Serebrenik, A., & Adams, B. (mai 2022). Why do projects join the Apache Software Foundation? [Communication écrite]. IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS 2022), Pittsburgh, PA, USA. Lien externe

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Yang, Z. (2022). Sélection des points de vue pour des données vectorielles en utilisant des techniques du réseau de neurones [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Yassin, M., Ould-Slimane, H., Talhi, C., & Boucheneb, H. (2022). Multi-Tenant Intrusion Detection Framework as a Service for SaaS. IEEE Transactions on Services Computing, 15(5), 2925-2938. Lien externe

Ye, X., & Bilodeau, G.-A. (août 2022). VPTR: Efficient Transformers for Video Prediction [Communication écrite]. 26th International Conference on Pattern Recognition (ICPR 2022), Montreal, Qc, Canada. Lien externe

Yousefifeshki, F. (2022). Studying the Practices and Challenges of Developing Hardware Description Language Programs [Mémoire de maîtrise, Polytechnique Montréal]. Disponible

Zampetti, F., Belias, F., Zid, C., Antoniol, G., & Penta, M. D. (octobre 2022). An Empirical Study on the Fault-Inducing Effect of Functional Constructs in Python [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. Lien externe

Zampetti, F., Mudbhari, S., Arnaoudova, V., Di Penta, M., Panichella, S., & Antoniol, G. (2022). Using code reviews to automatically configure static analysis tools. Empirical Software Engineering, 27(1), 30 pages. Lien externe

Zhang, H., Tang, Y., Lamothe, M., Li, H., & Shang, W. (2022). Studying logging practice in test code. Empirical Software Engineering, 27(4), 83 (45 pages). Lien externe

Zhang, H., Wang, S., Li, H., Chen, T.-H. P., & Hassan, A. E. (2022). A study of C/C++ code weaknesses on stack overflow. IEEE Transactions on Software Engineering, 48(7), 2359-2375. Lien externe

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