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Aalian, Y., Gamache, M., & Pesant, G. (2024). Short-term underground mine planning with uncertain activity durations using constraint programming. Journal of Scheduling, 17 pages. Lien externe
Abbasmollaei, M., Ould-Bachir, T., & Savaria, Y. (mai 2024). Normal and Resilient Mode FPGA-based Access Gateway Function Through P4-generated RTL [Communication écrite]. 2024 20th International Conference on the Design of Reliable Communication Networks (DRCN 2024), Montreal, Qc, Canada. Lien externe
Abidi, M., Rahman, M.S., Openja, M., & Khomh, F. (2024). Design smells in multi-language systems and bug-proneness: a survival analysis. Empirical Software Engineering, 29, 106 (42 pages). Lien externe
Abukhalaf, S., Hamdaqa, M., & Khomh, F. (avril 2024). PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4 [Communication écrite]. 1st IEEE/ACM International Conference on AI Foundation Models and Software Engineering (FORGE 2024), Lisbon, Portugal. Lien externe
Abusitta, A., Halabi, T., Bataineh, A. S., & Zulkernine, M. (juin 2024). Generative Adversarial Networks for Robust Anomaly Detection in Noisy IoT Environments [Communication écrite]. IEEE International Conference on Communications (ICC 2024), Denver, CO, USA. Lien externe
Abusitta, A., Li, M. Q., & Fung, B. C.M. (2024). Survey on explainable AI : techniques, challenges and open issues. Expert Systems With Applications, 255, 124710 (18 pages). Lien externe
Akoulih, M., Tigani, S., Byoud, F., Rharib, M. E., Saadane, R., Pierre, S., Chehri, A., & Ghachtouli, S. E. (décembre 2023). Electrocoagulation-based AZO DYE (P4R) Removal Rate Prediction Model using Deep Learning [Communication écrite]. 2023 International Symposium on Green Technologies and Applications (ISGTA 2023), Casablanca, Morocco. Publié dans Procedia Computer Science, 236. Lien externe
Allabadi, A., Mahseredjian, J., Jacobs, K., Dennetière, S., Kocar, I., & Ould-Bachir, T. (2024). Initializing Large-Scale Multi-Terminal HVDC Systems Using Decoupling Interface. IEEE Transactions on Power Delivery, 3373657 (10 pages). Lien externe
Allard, F. J. X. (2024). Extension du langage P4 pour faciliter l'utilisation de structures à états [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Alsheghri, A., Ladini, Y., Hosseinimanesh, G., Cheriet, F., Chafi, I., Guibault, F., & Kerem, J. (2024). Adaptive point learning with uncertainty quantification to generate margin lines on prepared teeth. Applied Sciences, 14(20), 9486 (21 pages). Disponible
Amini, M., Olsen, J. A., & Sharafi, Z. (avril 2024). Coding with a creative twist : investigating the link between creativity scores and problem-solving strategies [Communication écrite]. 2024 IEEE/ACM 46th International Conference on Software Engineering : New Ideas and Emerging Results (ICSE-NIER 2024), Lisbon, Portugal. Lien externe
Antaki, F., Doucet, C., Milad, D., Giguère, C.-É., Ozell, B., & Hammamji, K. (2024). Democratizing Vitreoretinal Surgery Training With a Portable and Affordable Virtual Reality Simulator in the Metaverse. Translational Vision Science & Technology, 13(4), 5 (13 pages). Lien externe
Anwar, N., Bilodeau, G.-A., & Bouachir, W. (mai 2024). STF: Spatio-Temporal Fusion Module for Improving Video Object Detection [Communication écrite]. 21st Conference on Robots and Vision, Guelph, Ontario, Canada. Publié dans Proceedings of the Conference on Robots and Vision. Lien externe
Arisdakessian, S., Wahab, O. A., Wehbi, O., Mourad, A., & Otrok, H. (juillet 2024). Trustworthy Hierarchical Federated Learning for Digital Healthcare [Communication écrite]. IEEE Annual Congress on Artificial Intelligence of Things (AIoT 2024), Melbourne, Australia. Lien externe
Arnold, C., Jouvet, P., & Séoud, L. (juin 2024). SwinFuSR: an image fusion-inspired model for RGB-guided thermal image super-resolution [Communication écrite]. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA. Lien externe
Asanuma-Brice, C., & Hurtut, T. (2024). Territoires en crise : une résilience urbaine aux crises industrielles est-elle possible ? Analyse et bilan de l'évolution de l'occupation des sols à Fukushima (2011-2023). [Territories in crisis: is urban resilience to industrial crises possible? An analysis of the evolution of land use in Fukushima]. Territoire en mouvement, 2024(60). Lien externe
Asanuma-Brice, C., & Hurtut, T. (2024). Territories in crisis: is urban resilience to industrial crises possible? An analysis of the evolution of land use in Fukushima. Territoire En Mouvement (60), 32 pages. Lien externe
Asgari, M., & Hurtut, T. (2024). A Design Language for Prototyping and Storyboarding Data-Driven Stories. Applied sciences, 14(4), 1387 (35 pages). Disponible
Aurora, V., Neal, C., Proulx, A., Boulahia Cuppens, N., & Cuppens, F. (décembre 2023). Unsupervised Clustering of Honeypot Attacks by Deep HTTP Packet Inspection [Communication écrite]. 16th International Symposium on Foundations and Practice of Security (FPS 2023), Bordeaux, France. Lien externe
Azéma, M., Desaulniers, G., Mendoza, J. E., & Pesant, G. (mai 2024). A Constraint Programming Model for the Electric Bus Assignment Problem with Parking Constraints [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe
Barral, H., Gaha, M., Dems, A., Côté, A., Nguewouo, F., & Cappart, Q. (mai 2024). Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe
Baseri, Y., Hafid, A., Firoozjaei, M. D., Cherkaoui, S., & Ray, I. (2024). Statistical privacy protection for secure data access control in cloud. Journal of Information Security and Applications, 84, 103823 (15 pages). Lien externe
Bataineh, A. S., Zulkernine, M., Abusitta, A., & Halabi, T. (2024). Detecting Poisoning Attacks in Collaborative IDSs of Vehicular Networks Using XAI and Shapley Value. ACM Journal on Autonomous Transportation Systems, -. Lien externe
Batoun, M. A., Sayagh, M., Aghili, R., Ouni, A., & Li, H. (2024). A literature review and existing challenges on software logging practices: From the creation to the analysis of software logs. Empirical Software Engineering, 29, 103 (61 pages). Lien externe
Beckham, C. (2024). Generalisation with Generative Models [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Belkhiri, A., & Dagenais, M. (2024). Analyzing GPU Performance in Virtualized Environments: A Case Study. Future Internet, 16(3), 72 (18 pages). Disponible
Belkhiri, A., Ben Attia, M., De Magalhaes, F. G., & Nicolescu, G. (mai 2024). Towards Efficient Diagnosis of Performance Bottlenecks in Microservice-Based Applications (Work In Progress paper) [Communication écrite]. Companion of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE 2024 - Companion), London, United Kingdom. Lien externe
Berhe, S., Khan, V., Khan, O., Pader, N., Farooqi, A. Z., Maynard, M., & Khomh, F. (2024). Triage Software Update Impact via Release Notes Classification. Procedia Computer Science, 238, 618-622. Lien externe
Boisvert, L., Verhaeghe, H., & Cappart, Q. (mai 2024). Towards a Generic Representation of Combinatorial Problems for Learning-Based Approaches [Communication écrite]. 21st International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe
Bouzid, A., Chidami, S., Lailler, T. Q., García, A. C., Ould-Bachir, T., & Chaouki, J. (2024). Innovative non-invasive and non-intrusive precision thermometry in stainless-steel tanks using ultrasound transducers. Sensors, 24(11), 3404 (17 pages). Disponible
Braunschweig, B., Buijsman, S., Chamroukhi, F., Heintz, F., Khomh, F., Mattioli, J., & Poretschkin, M. (2024). AITA: AI trustworthiness assessment. AI and Ethics, 4(1), 1-3. Lien externe
Brignol, A., Cheriet, F., Aubin-Fournier, J.-F., Fortin, C., & Laporte, C. (2024). Robust unsupervised texture segmentation for motion analysis in ultrasound images. International Journal of Computer Assisted Radiology and Surgery, 10 pages. Lien externe
Brignol, A., Paas, A., Sotelo-Castro, L., St-Onge, D., Beltrame, G., & Coffey, E. B. J. (2024). Overcoming boundaries: Interdisciplinary challenges and opportunities in cognitive neuroscience. Neuropsychologia, 200, 108903 (11 pages). Lien externe
Cassagne, J., Merlo, E., Jourdan, G.-V., & Onut, I.-V. (décembre 2023). Following the Obfuscation Trail: Identifying and Exploiting Obfuscation Signatures in Malicious Code [Communication écrite]. 16th International Symposium on Foundations and Practice of Security (FPS 2023), Bordeaux, France. Lien externe
Chafi, I., Cheriet, F., Keren, J., Zhang, Y., & Guibault, F. (février 2024). 3D generation of dental crown bottoms using context learning [Présentation]. Dans SPIE Medical Imaging, 2024, San Diego, California, United States. Lien externe
Chamorro, S. (2024). Reinforcement Learning for Stair Climbing with Ascento: A Two-Wheeled Legged Robot [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Chamorro, S., Klemm, V., De La Iglesia Valls, M., Pal, C. J., & Siegwart, R. (mai 2024). Reinforcement Learning for Blind Stair Climbing with Legged and Wheeled-Legged Robots [Communication écrite]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. Lien externe
Cio, Y.-S. L.-K., Beltrame, G., Vadean, A., Mohebbi, A., & Achiche, S. (2024). Concurrent product layout design optimization and dependency management using a modified NSGA-III approach. Frontiers in Mechanical Engineering, 10, 1178501. Lien externe
Clouâtre, L., Zouaq, A., & Chandar, S. (mai 2024). MVP: Minimal Viable Phrase for Long Text Understanding [Communication écrite]. Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation (LREC-COLING 2024), Hybrid, Torino, Italy. Non disponible
Cocha, C., Pessoa, B. P. S., Aloise, D., & Cabral, L. A. (2024). An efficient implementation of a VNS heuristic for the weighted fair sequences problem. International Transactions in Operational Research, 31(3), 1720-1735. Disponible
Compain, L. G. K. (2024). Outil d'aide à l'inspiration basé sur l'exploration d'une archive d'exemples de récits centrés sur les données [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Côté, P.-O., Nikanjam, A., Ahmed, N., Humeniuk, D., & Khomh, F. (2024). Data cleaning and machine learning: a systematic literature review. Automated Software Engineering, 31(2), 54 (75 pages). Lien externe
Côté, P.-O., Nikanjam, A., Bouchoucha, R., Basta, I., Abidi, M., & Khomh, F. (2024). Quality issues in machine learning software systems. Empirical Software Engineering, 29(6), 149 (47 pages). Lien externe
Crochelet, P., Neal, C., Boulahia Cuppens, N., Cuppens, F., & Proulx, A. (décembre 2023). Automated Attacker Behaviour Classification Using Threat Intelligence Insights [Communication écrite]. 16th International Symposium on Foundations and Practice of Security (FPS 2023), Bordeaux, France. Lien externe
Curzi-Laliberté, B. (2024). Applying Model Driven Software Engineering Practices to Epidemiology [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Curzi-Laliberté, B., Fokaefs, M., Famelis, M., & Hamdaqa, M. (septembre 2024). EpiMDE: A-Model Driven Engineering Platform for Epidemiological Modeling [Communication écrite]. ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, Linz, Austria. Lien externe
Da Silva, L., Borba, P., Maciel, T., Mahmood, W., Berger, T., Moisakis, J., Gomes, A., & Leite, V. (2024). Detecting semantic conflicts with unit tests. Journal of Systems and Software, 214, 112070 (19 pages). Lien externe
Dah-Achinanon, U., Belhaddad, E. K., Ricard, G., & Beltrame, G. (octobre 2024). BittyBuzz: A Swarm Robotics Runtime for Tiny Systems [Communication écrite]. 14th International Conference on Swarm Intelligence (ANTS 2024), Konstanz, Germany. Lien externe
Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). Generative AI for Software Development: A Family of Studies on Code Generation. Dans Generative AI for Effective Software Development (p. 151-172). Lien externe
Dakhel, A. M., Nikanjam, A., Khomh, F., Desmarais, M. C., & Washizaki, H. (2024). An Overview on Large Language Models. Dans Generative AI for Effective Software Development (p. 3-21). Lien externe
Dakhel, A. M., Nikanjam, A., Majdinasab, V., Khomh, F., & Desmarais, M. C. (2024). Effective test generation using pre-trained Large Language Models and mutation testing. Information and Software Technology, 171, 107468 (17 pages). Lien externe
Darche, S., & Dagenais, M. (2024). Low-Overhead Trace Collection and Profiling on GPU Compute Kernels. Acm Transactions on Parallel Computing, 11(2), 9 (24 pages). Lien externe
de Boisredon d’Assier, M. A., Portafaix, A., Vorontsov, E., Le, W. T., & Kadoury, S. (2024). Image-level supervision and self-training for transformer-based cross-modality tumor segmentation. Medical Image Analysis, 97, 103287 (16 pages). Lien externe
De Magalhaes, F. G., Shafiee, A., Nicolescu, G., & Nikdast, M. (juillet 2024). Are Photonic Integrated Circuits (PICs) Secure? A Glance at Security Vulnerabilities in PICs [Communication écrite]. 2024 IEEE Photonics Society Summer Topicals Meeting Series (SUM 2024), Bridgetown, Barbados (2 pages). Lien externe
Demers, L.-C. (2024). Génération de musique avec structure à long terme en combinant la programmation par contraintes et l'apprentissage automatique [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Desrosiers, C., Letenneur, M., Bernier, F., Piché, N., Provencher, B., Cheriet, F., Guibault, F., & Brailovski, V. (2024). Automated porosity segmentation in laser powder bed fusion part using computed tomography: a validity study. Journal of Intelligent Manufacturing, 21 pages. Lien externe
Destras, O., Beux, S. L., Gohring de Magalhaes, F., & Nicolescu, G. (juin 2024). Design of a Reconfigurable Activation Function for All-Optical Neural Networks [Communication écrite]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada. Lien externe
Destras, O., Le Beux, S., Göhring de Magalhães, F., & Nicolescu, G. (2024). Survey on activation functions for optical neural networks. ACM Computing Surveys, 56(2), 35 (30 pages). Disponible
Dhaouadi, M., Oakes, B., & Famelis, M. (avril 2024). Rationale Dataset and Analysis for the Commit Messages of the Linux Kernel Out-of-Memory Killer [Communication écrite]. 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024), Lisbon, Portugal. Lien externe
Diallo, P. A. K. K., Reyd, S., & Zouaq, A. (2024). A comprehensive evaluation of neural SPARQL query generation from natural language questions. IEEE Access, 3453215 (22 pages). Lien externe
Ding, Z., Tang, Y., Cheng, X., Li, H., & Shang, W. (2024). LoGenText-Plus : Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates. ACM Transactions on Software Engineering and Methodology, 33(2), 38 (45 pages). Lien externe
El Karkouri, N., Tigani, S., Saadane, R., Chehri, A., Pierre, S., & Neya, N. (décembre 2023). Probabilistic Graph Modeling based Safety Classifier Algorithm for Smart Transportation [Communication écrite]. 2023 International Symposium on Green Technologies and Applications (ISGTA 2023), Casablanco. Publié dans Procedia Computer Science, 236. Lien externe
Elfatimi, E., Eryigit, R., & Elfatimi, L. (2024). Deep multi-scale convolutional neural networks for automated classification of multi-class leaf diseases in tomatoes. Neural Computing and Applications, 36, 803-822. Lien externe
Elforaici, M. E. A., Azzi, F., Trudel, D., Nguyen, B., Montagnon, E., Tang, A., Turcotte, S., & Kadoury, S. (mai 2024). Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images [Communication écrite]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). Lien externe
Erfan, F., Bellaïche, M., & Halabi, T. (juillet 2024). Efficient Detection of Selfish Mining Attacks on Large-Scale Blockchain Networks [Communication écrite]. IEEE 24th International Conference on Software Quality, Reliability, and Security Companion (QRS-C), Cambridge, United Kingdom. Lien externe
Etaiwi, L., Sager, P., Guéhéneuc, Y.-G., & Hamel, S. (2024). Consensus task interaction trace recommender to guide developers' software navigation. Empirical Software Engineering, 29, 147 (46 pages). Lien externe
Etibou, J. G. V., & Pierre, S. (2024). IoT Devices Modular Security Approach Using Positioning Security Engine. IEEE Access, 3424658 (12 pages). Lien externe
Faillon, M.-A., Bout, B., Francq, J., Neal, C., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (septembre 2024). How to Better Fit Reinforcement Learning for Pentesting: A New Hierarchical Approach [Communication écrite]. 29th European Symposium on Research in Computer Security (ESORICS 2024), Bydgoszcz, Poland. Lien externe
Faour, A. (2024). Mise à l'échelle des analyses de trace dans une architecture modulaire [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Farooq Butt, M. H., Li, J. P., Ji, J., Riaz, W., Anwar, N., Butt, F. F., Ahmad, M., Saboor, A., Ali, A., & Uddin, M. Y. (2024). Intelligent tumor tissue classification for Hybrid Health Care Units. Frontiers in Medicine, 11, 1385524 (13 pages). Lien externe
Ferreira, I., Rafiq, A., & Cheng, J. (2024). Incivility detection in open source code review and issue discussions. Journal of Systems and Software, 209, 111935 (16 pages). Lien externe
Filali, A., Mlika, Z., & Cherkaoui, S. (2024). Open RAN Slicing for MVNOs With Deep Reinforcement Learning. IEEE Internet of Things Journal, 3365665 (15 pages). Lien externe
Foalem, P. L., Khomh, F., & Li, H. (2024). Studying logging practice in machine learning-based applications. Information and Software Technology, 170, 107450 (17 pages). Lien externe
Francoeur, J., Lezcano, D., Zhetpissov, Y., Kashyap, R., Iordachita, I., & Kadoury, S. (mai 2024). Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions [Communication écrite]. 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan. Lien externe
Gagnon, M., Font, L., & Zouaq, A. (2024). An Exploration of IFLA LRM for Literature Data Representation. Journal on Computing and Cultural Heritage. Lien externe
Garmendia, A. I., Cappart, Q., Ceberio, J., & Mendiburu, A. (août 2024). MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization [Communication écrite]. 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju, Republic of Korea. Lien externe
Garmendia, A. I., Morri, F., Cappart, Q., & Le Cadre, H. (2024). Winning the 2023 CityLearn Challenge: A Community-Based Hierarchical Energy Systems Coordination Algorithm. Dans ECAI 2024 (Vol. 392, p. 2330-2337). Lien externe
Ghadesi, A., Lamothe, M., & Li, H. (2024). What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow. Empirical Software Engineering, 29, 107 (37 pages). Lien externe
Gil, S., Oakes, B., Gomes, C., Frasheri, M., & Larsen, P. G. (2024). Toward a systematic reporting framework for Digital Twins: a cooperative robotics case study. SIMULATION, 27 pages. Lien externe
Gosselin, F. (2024). Ontology Embeddings with Pretrained Language Models and Schema Information for Ontology-Related Tasks [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Govindarajan, P., Miret, S., Rector-Brooks, J., Phielipp, M., Rajendran, J., & Chandar, S. (2024). Learning conditional policies for crystal design using offline reinforcement learning. Digital Discovery, 3(4), 769-785. Lien externe
Grajales, D., Le, W. T., Tran, T., David, S., Dallaire, F., Ember, K., Leblond, F., Menard, C., & Kadoury, S. (2024). Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room. International Journal of Computer Assisted Radiology and Surgery, 9-9. Lien externe
Grumiaux, L. V. S. (2024). Prédiction et optimisation de la main-d'oeuvre maritime au port de Montréal [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Haghshenas, A., Ezzati-Jivan, N., & Dagenais, M. (mai 2024). Automatic reduction of execution trace data volume using gradient boosting in large-scale microservice systems [Communication écrite]. 37th Canadian Conference on Artificial Intelligence (Canadian AI 2024), Guelph, ON, Canada (12 pages). Lien externe
Hajizadeh, F., Ould-Bachir, T., & David, J. P. (2024). CuFP: An HLS Library for Customized Floating-Point Operators. Electronics, 13(14), 2838 (22 pages). Lien externe
Harmaji, A., Kirana, M. C., & Jafari, R. (2024). Machine learning to predict workability and compressive strength of low- and high-calcium fly ash–based geopolymers. Crystals, 14(10), 830 (19 pages). Disponible
Hébert-Lavoie, M., Ozell, B., & Doyon-Poulin, P. (2024). The Influence of Immersion on Situational Awareness in a Virtual Environment. PRESENCE: Virtual and Augmented Reality, 00427 (49 pages). Lien externe
Henique, G., Bang, C., Markel, D., Le, W., Filion, E., Ngyuen-Tan, P. F., Bahig, H., & Kadoury, S. (mai 2024). Dose aware toxicity prediction in head and neck cancer patients using a deformable 3D CNN on Daily CBCT Acquisitions [Communication écrite]. IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). Lien externe
Hernandez, D., Pasquier, P., & Guibault, F. (juillet 2023). Numerical Modelling of a Sedimentation Tank for Enhancing Sediment Removal in Open-Loop Ground Source Heat Pump System of Type Standing Column Well [Communication écrite]. 22nd World Renewable Energy Congress (WREC 2023), Kuala Lumpur, Malaysia. Lien externe
Hoppe, H., Enders, T., Cappart, Q., & Schiffer, M. (juillet 2024). Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems [Communication écrite]. 6th Annual Learning for Dynamics and Control Conference (L4DC 2024), Oxford, United kingdom. Lien externe
Humeniuk, D., & Khomh, F. (avril 2024). AmbieGen at the SBFT 2024 Tool Competition-CPS-UAV Track [Communication écrite]. 17th International Workshop on Search-Based and Fuzz Testing (SBFT 2024), Lisbon, Portugal. Lien externe
Humeniuk, D., & Khomh, F. (avril 2024). AmbieGenVAE at the SBFT 2024 Tool Competition - Cyber-Physical Systems Track [Communication écrite]. 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, Lisbon, Portugal. Lien externe
Humeniuk, D., Braiek, H. B., Reid, T., & Khomh, F. (2024). In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators. Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. (2024). Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing. ACM Transactions on Software Engineering and Methodology. Lien externe
Jacquet, T. J. (2024). Sélection d'arcs et génération de colonnes pour le problème d'horaires d'autobus électriques [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Jamshidi, S., Amirnia, A., Nikanjam, A., & Khomh, F. (avril 2024). Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning [Communication écrite]. 15th International Conference on Ambient Systems, Networks and Technologies Networks (ANT 2024) / The 7th International Conference on Emerging Data and Industry 4.0 (EDI40 2024), Hasselt, Belgium. Publié dans Procedia Computer Science, 238. Lien externe
Joly-Chevrier, M., Aly, S., Bahous, K., & Lefrançois, P. (2024). Atopic Dermatitis Patient Needs Assessed through the Largest Online Patient Community: A Cross-Sectional Reddit Analysis. Journal of Cutaneous Medicine and Surgery, 3 pages. Lien externe
Kalfon, B. (2024). Réalisation d'un GAN quantique adapté à la détection d'anomalies pour les séries temporelles issues de données réseau [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Kalfon, B., Cherkaoui, S., Laprade, J.-F., Ahmad, O., & Wang, S. (2024). Successive data injection in conditional quantum GAN applied to time series anomaly detection. IET Quantum Communication, 12088 (13 pages). Lien externe
Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Characterizing the Prevalence Distribution and Duration of Stale Reviewer Recommendations. IEEE Transactions on Software Engineering, 3422369 (14 pages). Lien externe
Kazemi, F., Lamothe, M., & McIntosh, S. (2024). Replication Package and Online Appendix for "Characterizing the impact, distribution, and duration of stale reviewer recommendations" [Ensemble de données]. Lien externe
Khani, M., Cheriet, F., Séoud, L., Debanné, P., Parent, S., & Labelle, H. (2024). Changes in trunk appearance following surgical correction of adolescent idiopathic scoliosis. Spine Deformity. Lien externe
Khani, M., Débanné, P., Guibault, F., Labelle, H., Parent, S., & Cheriet, F. (2024). Automatic assessment of scoliosis surgery outcome on trunk shape using left–right trunk asymmetry. European Spine Journal, 9 pages. Lien externe
Khomh, F., & Jahangirova, G. (2024). Search-based Software Engineering. Lien externe
Khorramfar, M., Mtawa, Y. A., Abusitta, A., & Halabi, T. (juin 2024). Credit-Based Client Selection for Resilient Model Aggregation in Federated Learning [Communication écrite]. 59th Annual IEEE International Conference on Communications (ICC 2024), Denver, CO, USA. Lien externe
Kouemo Ngassom, S., Moradi Dakhel, A., Tambon, F., & Khomh, F. (juillet 2024). Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs [Communication écrite]. 1st ACM International Conference on AI-Powered Software (ALWARE 2024), Porto de Galinhas, Brazil. Lien externe
Laberge, G., Pequignot, Y., Marchand, M., & Khomh, F. (mai 2024). Tackling the XAI Disagreement Problem with Regional Explanations [Communication écrite]. 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain. Lien externe
Labounek, R., Bondy, M. T., Paulson, A. L., Bédard, S., Abramovic, M., Alonso-Ortiz, E., Atcheson, N. T., Barlow, L. R., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M. D., Callot, V., Combes, A., Leener, B. D., Descoteaux, M., Loureiro de Sousa, P., Dostál, M., ... Nestrašil, I. (2024). Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study. bioRxiv, 32 pages. Lien externe
Labrecque Langlais, É., Corbin, D., Tastet, O., Hayek, A., Doolub, G., Mrad, S., Tardif, J.‐C., Tanguay, J.‐F., Marquis‐Gravel, G., Tison, G. H., Kadoury, S., Le, W., Gallo, R., Lesage, F., & Avram, R. (2024). Evaluation of stenoses using AI video models applied to coronary angiography. NPJ Digital Medicine, 7, 138 (13 pages). Disponible
Landelle, C., Kinany, N., De Leener, B., Murphy, N. D., Lungu, O., Marchand‐Pauvert, V., Van De Ville, D., & Doyon, J. (2024). Cerebro-spinal somatotopic organization uncovered through functional connectivity mapping. Imaging Neuroscience, 2, 1-14. Lien externe
Larocque, R., Boulé, A.-M., & Cappart, Q. (2024). Estimating Road Construction Costs with Explainable Machine Learning. INFORMS Journal on Applied Analytics, 17 pages. Lien externe
Layoun, J.-C. (2024). Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning as a Strict Partial Order [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Layoun, J.-C., Zouaq, A., & Desmarais, M. C. (avril 2024). Contextual Embeddings and Graph Convolutional Networks for Concept Prerequisite Learning [Communication écrite]. 39th ACM/SIGAPP Symposium on Applied Computing (SAC 2024), New York, NY, USA. Lien externe
Lepetit-Aimon, G., Playout, C., Boucher, M. C., Duval, R., Brent, M. H., & Cheriet, F. (2024). MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy. Scientific Data, 11(1). Lien externe
Li, M. (août 2024). A Motion Capture Quality Comparison Between Rokoko and Kinect [Communication écrite]. IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu, Malaysia. Lien externe
Li, M. M. Q. (mai 2024). Exploration of the Possibility for a Wider Range of the Discount Factor for Reinforcement Learning [Communication écrite]. 6th International Conference on Communications, Information System and Computer Engineering (CISCE 2024), Guangzhou, China. Lien externe
Li, N., Fei, P., Tous, C., Rezaei Adariani, M., Hautot, M.-L., Ouedraogo, I., Hadjadj, A., Dimov, I. P., Zhang, Q., Lessard, S., Nosrati, Z., Ng, C. N., Saatchi, K., Hafeli, U. O., Tremblay, C., Kadoury, S., Tang, A., Martel, S., & Soulez, G. (2024). Human-scale navigation of magnetic microrobots in hepatic arteries. Science Robotics, 9(87), 8702. Lien externe
Li, S., Cheriet, F., & Laporte, C. (mai 2024). SAM Zero-Shot detection of vertebral surfaces from freehand 3D ultrasound : SAM ZS detection of vertebral surfaces from FH 3D US [Communication écrite]. 46th Canadian Medical and Biological Engineering Conference (CMBEC46), Toronto, ON, Canada. Publié dans CMBES Proceedings, 46. Non disponible
Li, S., Cheriet, F., Gauthier, L., & Laporte, C. (2024). Automatic 3D Lamina Curve Extraction from Freehand 3D Ultrasound Data using Sequential Localization Recurrent Convolutional Networks. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 3385698 (11 pages). Lien externe
Lyu, Y., Li, H., Jiang, Z. M., & Hassan, A. E. (2024). On the Model Update Strategies for Supervised Learning in AIOps Solutions. ACM Transactions on Software Engineering and Methodology, -. Lien externe
Madsen, A., Anbil Parthipan, S. C., & Reddy, S. (août 2024). Are self-explanations from Large Language Models faithful? [Communication écrite]. 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Hybrid, Bangkok, Thailand. Lien externe
Madsen, A., Reddy, S., & Anbil Parthipan, S. C. (juillet 2024). Faithfulness Measurable Masked Language Models [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe
Mahu, A., Singh, A., Tambon, F., Ouellette, B., Delisle, J.-, Paul, T., Khomh, F., Marois, A., & Doyon-Poulin, P. (2024). Validation of Vigilance Decline Capability in A Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control. AHFE international, 126, 45-59. Lien externe
Majdinasab, V., Bishop, M. J., Rasheed, S., Moradidakhel, A., Tahir, A., & Khomh, F. (mars 2024). Assessing the Security of GitHub Copilot's Generated Code - A Targeted Replication Study [Communication écrite]. 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe
Majdinasab, V., Nikanjam, A., & Khomh, F. (2024). Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code. ACM Transactions on Software Engineering and Methodology. Lien externe
Mashreghi-Moghadam, P., Ould-Bachir, T., & Savaria, Y. (2024). PrismParser: a framework for implementing efficient P4-programmable packet parsers on FPGA. Future Internet, 16(9), 307 (19 pages). Disponible
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2024). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM Transactions on Software Engineering and Methodology. Lien externe
Megouo, T. G. P., & Pierre, S. (2024). A Stacking Ensemble Machine Learning Model for Emergency Call Forecasting. IEEE Access, 12, 115820-115837. Lien externe
Merzouk, M. A., Neal, C., Delas, J., Yaich, R., Boulahia-Cuppens, N., & Cuppens, F. (2024). Adversarial robustness of deep reinforcement learning-based intrusion detection. International Journal of Information Security, 27 pages. Lien externe
Mhedhbi, A., Deshpande, A., & Salihoğlu, S. (2024). Modern Techniques For Querying Graph-structured Databases. Foundations and Trends in Databases, 14(2), 72-185. Lien externe
Misson, H. A., Zrelli, R., Ben Attia, M., Gohring de Magalhaes, F., & Nicolescu, G. (septembre 2023). ReDaML: a modeling language for DO-178C high-level requirements in airspace systems [Communication écrite]. 34th International Workshop on Rapid System Prototyping (RSP 2023), Hamburg, Germany (7 pages). Lien externe
Montagnon, E., Cerny, M., Hamilton, V., Derennes, T., Ilinca, A., Elforaici, M. E. A., Jabbour, G., Rafie, E., Wu, A., Perdigon Romero, F., Cadrin-Chênevert, A., Kadoury, S., Turcotte, S., & Tang, A. (2024). Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis. PLOS ONE, 19(9), 0307815 (17 pages). Lien externe
Mordido, G., Malviya, P., Baratin, A., & Anbil Parthipan, S. C. (juillet 2024). Lookbehind-SAM: k Steps Back, 1 Step Forward [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe
Moroncelli, A., Pacheco, A., Strobel, V., Lajoie, P.-Y., Dorigo, M., & Reina, A. (octobre 2024). Byzantine Fault Detection in Swarm-SLAM Using Blockchain and Geometric Constraints [Communication écrite]. 14th International Conference on Swarm Intelligence (ANTS 2024), Konstanz, Germany. Lien externe
Morovati, M. M., Nikanjam, A., Tambon, F., Khomh, F., & Jiang, Z. M. (2024). Bug characterization in machine learning-based systems. Empirical Software Engineering, 29(1), 14 (29 pages). Lien externe
Morovati, M. M., Tambon, F., Taraghi, M., Nikanjam, A., & Khomh, F. (2024). Common challenges of deep reinforcement learning applications development: an empirical study. Empirical Software Engineering, 29, 95 (33 pages). Lien externe
Morrell, B., Otsu, K., Agha, A., Fan, D. D., Kim, S.-K., Ginting, M. F., Lei, X., Edlund, J. A., Fakoorian, S., Bouman, A., Chávez, F., Kim, T., Correa, G. J., Silva, M. S. , Santamaria‐Navarro, À., Lopez, B. T., Kim, B., Jung, C., Sobue, M., ... Burdick, J. W. (2024). An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments. IEEE Transactions on Field Robotics, 1-1. Lien externe
Mosbah, M., Sèdes, F., Tawbi, N., Ahmed, T., Boulahia Cuppens, N., & García-Alfaro, J. (édit.) (2024). Foundations and Practice of Security. Lien externe
Moslemi, M. (2024). TagDebias: Entity and Concept Typing for Social Bias Mitigation in Pretrained Language Models [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Muse, B. A., Nafi, K. W., Khomh, F., & Antoniol, G. (2024). Data-access performance anti-patterns in data-intensive systems. Empirical Software Engineering, 29, 144 (35 pages). Lien externe
Neishabouri, A., & Desmarais, M. C. (2024). An ensemble approach to determine the number of latent dimensions and assess its reliability. Communications in Statistics: Simulation and Computation, 2328166 (26 pages). Lien externe
Nguyen-Duc, A., Abrahamsson, P., & Khomh, F. (2024). Generative AI for effictive software development. Lien externe
Njoku, A., Amini, M., & Sharafi, Z. (avril 2024). Innovating Coding: Evaluating the Impact of Innovative Thinking in Programming [Communication écrite]. 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024), Lisbon, Portugal. Lien externe
Nolin-Lapalme, A., Theriault-Lauzier, P., Corbin, D., Tastet, O., Sharma, A., Hussin, J. G., Kadoury, S., Jiang, R., Krahn, A. D., Gallo, R., & Avram, R. (2024). Maximizing Large Language Model Utility in Cardiovascular Care: A Practical Guide. Canadian Journal of Cardiology, 38 pages. Lien externe
Nyami, G. N., Malfajani, R. S., & Kishk, A. A. (juillet 2024). Dual-Band Shared Aperture Antenna with a Large Operation Frequency Ratio for 5G Application [Communication écrite]. IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy. Lien externe
Oakes, B. J., Gomes, C., Kamburjan, E., Abbiati, G., Bas, E. E., & Engelsgaard, S. (septembre 2024). Towards Ontological Service-Driven Engineering of Digital Twins [Communication écrite]. ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, Linz, Austria. Lien externe
Oakes, B., Famelis, M., & Sahraoui, H. (2024). Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice. ACM Transactions on Software Engineering and Methodology, 33(4), 1-50. Disponible
Olewicki, D., Habchi, S., Nayrolles, M., Faramarzi, M., Anbil Parthipan, S. C., & Adams, B. (avril 2024). On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction [Communication écrite]. 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP 2024), Lisbon, Portugal. Lien externe
Openja, M., Khomh, F., Foundjem, A., Jiang, Z. M., Abidi, M., & Hassan, A. E. (2024). An empirical study of testing machine learning in the wild. ACM Transactions on Software Engineering and Methodology. Lien externe
Openja, M., Laberge, G., & Khomh, F. (2024). Detection and evaluation of bias-inducing features in machine learning. Empirical Software Engineering, 29(1), 71 pages. Lien externe
Osmanpoor, M., Shameli-Sendi, A., & Daneshgar, F. F. (2024). Convergence of the Harris hawks optimization algorithm and fuzzy system for cloud-based task scheduling enhancement. Cluster Computing-the Journal of Networks Software Tools and Applications, 15 pages. Lien externe
Oueslati, K., Laberge, G., Lamothe, M., & Khomh, F. (2024). Mining Action Rules for Defect Reduction Planning. Proceedings of the ACM on Software Engineering, 1(FSE), 2309-2331. Lien externe
Ould-Yahia, Y., Yacoub, M., Bouzefrane, S., & Boucheneb, H. (2024). Self-organised map and trust-aware-based quality of service prediction for reliable services selection in distributed computing environment. International Journal of Advanced Intelligence Paradigms, 28(1-2), 169-192. Lien externe
Panahandeh, M., Hamou-Lhadj, A., Hamdaqa, M., & Miller, J. (2024). ServiceAnomaly: An anomaly detection approach in microservices using distributed traces and profiling metrics. Journal of Systems and Software, 209, 111917 (20 pages). Lien externe
Parjadis, A., Cappart, Q., Dilkina, B., Ferber, A., & Rousseau, L.-M. (septembre 2024). Learning Lagrangian Multipliers for the Travelling Salesman Problem [Communication écrite]. 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Girona, Spain (18 pages). Lien externe
Picard, C. (2024). A Robust Multimodal User Authentication System for Mobile Environments [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Pigeon, J., Khomh, F., Boudreault, R., Ashraf, A., & Maghoul, P. (avril 2024). LIBS-Raman Multimodal Architecture for Automated Lunar Prospecting [Communication écrite]. 19th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, Miami, Florida, USA. Lien externe
Portas, F., Bois, G., & Savaria, Y. (juin 2024). CoChrono: A Unified Hardware/Software Performance Analysis Tool for SoC-FPGA Codesign [Communication écrite]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada. Lien externe
Posso, J., Bois, G., & Savaria, Y. (juin 2024). Real-Time Spacecraft Pose Estimation Using Mixed-Precision Quantized Neural Network on COTS Reconfigurable MPSoC [Communication écrite]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada. Lien externe
Queiroz Correia, P. V. (2024). Detecting Failures in Telecommuntications Manufacture for Predictive Quality [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Ragab, A., Mannan, M., & Youssef, A. (septembre 2023). ESORICS 2023 International Workshops [Communication écrite]. European Symposium on Research in Computer Security (ESORICS 2023), The Hague, The Netherlands. Lien externe
Rezgui, J., Jobin, F., Kechout, Y., Turgeon, C., & Khomh, F. (mai 2024). Towards a reliable french speech recognition tool for an automated diagnosis of learning disabilities [Communication écrite]. 2024 International Conference on Smart Applications, Communications and Networking (SmartNets 2024), Harrisonburg, VA, USA (6 pages). Lien externe
Ricard, G., Vielfaure, D., & Beltrame, G. (novembre 2022). FLAM : Fault Localization and Mapping [Communication écrite]. 16th International Symposium on Distributed Autonomous Robotic Systems (DARS 2022), Montbeliard, France. Lien externe
Richer, E., Solano, M. M., Cheriet, F., Lesk, M. R., & Costantino, S. (2024). Denoising OCT videos based on temporal redundancy. Scientific Reports, 14, 6605 (12 pages). Disponible
Richer, E., Solano, M. M., Cheriet, F., Lesk, M. R., & Costantino, S. (janvier 2024). Noise-free one-cardiac-cycle OCT videos: a proof-of-concept study [Affiche]. SPIE BiOS, 2024, San Francisco, California, United States. Lien externe
Robillard, M. P., Arya, D. M., Ernst, N. A., Guo, J. L. C., Lamothe, M., Nassif, M., Novielli, N., Serebrenik, A., Steinmacher, I., & Stol, K.-J. (2024). Communicating Study Design Trade-offs in Software Engineering. ACM Transactions on Software Engineering and Methodology, 33(5), 112 (10 pages). Lien externe
Roy, J. (2024). Effective Reward Specification in Deep Reinforcement Learning [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Russo, D., Baltes, S., van Berkel, N., Avgeriou, P., Calefato, F., Cabrero-Daniel, B., Catolino, G., Cito, J., Ernst, N., Fritz, T., Hata, H., Holmes, R., Izadi, M., Khomh, F., Kjaergaard, M. B., Liebel, G., Lafuente, A. L., Lambiase, S., Maalej, W., ... Vasilescu, B. (2024). Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto. Journal of Systems and Software, 216, 112115 (2 pages). Lien externe
Saber, R., Tonneau, M., Bahig, S., Malo, J., Belkaid, W., Messaoudene, M., Bouchard, N., Coulombe, F., Joubert, P., Bahig, H., Turcotte, S., Routy, B., & Kadoury, S. (mai 2024). Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT [Communication écrite]. 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece (5 pages). Lien externe
Sabri, K., Djilali, C., Bilodeau, G.-A., Saunier, N., & Bouachir, W. (mai 2024). Detection of micromobility vehicles in urban traffic videos [Communication écrite]. 21st Conference on Robots and Vision (CVR 2024), Guelph, ON, Canada (8 pages). Disponible
Saint-Hilaire, K., Cuppens, F., Boulahia Cuppens, N., & Garcia-Alfaro, J. (juin 2023). Automated enrichment of logical attack graphs via formal ontologies [Communication écrite]. 38th IFIP TC 11 International Conference on ICT Systems Security and Privacy Protection (SEC 2023), Poznan, Poland. Lien externe
Saint-Hilaire, K., Neal, C., Cuppens, F., Boulahia Cuppens, N., & Hadji, M. (août 2024). Matching Knowledge Graphs for Cybersecurity Countermeasures Selection [Communication écrite]. 6th International Conference Science of Cyber Security (SciSec 2024), Copenhagen, Denmark. Non disponible
Saint-Hilaire, K., Neal, C., Cuppens, F., Boulahia Cuppens, N., & Hadji, M. (juillet 2024). Optimal automated generation of playbooks [Communication écrite]. 38th annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec 2024), San Jose, CA, USA. Lien externe
Saint-Hilaire, K., Neal, C., Cuppens, F., Boulahia Cuppens, N., & Hadji, M. (juillet 2024). Optimal Automated Generation of Playbooks [Communication écrite]. 38th Annual IFIP WG 11.3 Conference (DBSec 2024), San Jose, CA, USA. Publié dans Lecture notes in computer science, 14901. Lien externe
Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., Wehbi, O., Ajaj, M., Mourad, A., Otrok, H., Wahab, O. A., Mizouni, R., Bentahar, J., Talhi, C., Dziong, Z., Damiani, E., & Guizani, M. (2024). The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Communications Surveys and Tutorials, 3392642 (49 pages). Lien externe
Sanei, A., & Cheng, J. (2024). Characterizing Usability Issue Discussions in Open Source Software Projects. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 26 pages. Lien externe
Sargordi, M. (2024). Training Neural Networks to Perform Structured Prediction Task [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Shahnejat Bushehri, A., Amirnia, A., Belkhiri, A., Keivanpour, S., De Magalhaes, F. G., & Nicolescu, G. (2024). Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks. IEEE Transactions on Green Communications and Networking, 8(1), 498-513. Lien externe
Shahrokhishahraki, M., Malekpour, M., Mirvalad, S., & Faraone, G. (2024). Machine learning predictions for optimal cement content in sustainable concrete constructions. Journal of Building Engineering, 82, 108160 (13 pages). Lien externe
Shiri, V., Xiong, M., Cheng, J., & Guo, J. L. C. (juillet 2024). Motivating Users to Attend to Privacy: A Theory-Driven Design Study [Communication écrite]. 2024 ACM Designing Interactive Systems Conference (DIS 2024), Copenhagen, Denmark. Lien externe
Siddhika Arunachalam, S. A. (2024). Prediction of the Postoperative Shape of the Trunk After Spinal Surgery Using Deep Learning [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Silva De Oliveira, A. S. (2024). Predictive Power of Large Language Models in Bug Severity Detection: An Explorative Study [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). Data-driven prioritization strategies for inventory rebalancing in bike-sharing systems. Omega, 129, 103141 (15 pages). Disponible
Silva, M. C. M., Aloise, D., & Jena, S. D. (2024). On the Simultaneous Computation of Target Inventories and Intervals for Bimodal Bike-Sharing Systems. Transportation Engineering, 16, 100226 (9 pages). Disponible
Silva-Pinto, N.-G., Gagnon, M., Obas, H., Ouattara, J.-Y. S., & Nicolescu, G. (avril 2024). Onto-by-wire: Bridging the knowledge gap between avionics and cybersecurity through ontology [Communication écrite]. 24th Integrated Communications, Navigation and Surveillance Conference (ICNS 2024), Herndon, VA, USA (11 pages). Lien externe
Sobral, M. (2024). A Portable and Personalized Closed-Loop Brain Stimulation System [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Soud, M., Liebel, G., & Hamdaqa, M. (2024). A fly in the ointment: an empirical study on the characteristics of Ethereum smart contract code weaknesses. Empirical Software Engineering, 29(1), 45 pages. Lien externe
Tambon, F., Nikanjam, A., An, L., Khomh, F., & Antoniol, G. (2024). Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empirical Software Engineering, 29(1), 10 (34 pages). Lien externe
Taraghi, M., Dorcelus, G., Foundjem, A., Tambon, F., & Khomh, F. (mars 2024). Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends [Communication écrite]. 31st IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2024), Rovaniemi, Finland. Lien externe
Tashman, D. H., & Cherkaoui, S. (mai 2024). Securing Next-Generation Networks against Eavesdroppers: FL-Enabled DRL Approach [Communication écrite]. 20th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC 2024), Hybrid, Ayia Napa, Cyprus. Lien externe
Tashman, D. H., Cherkaoui, S., & Hamouda, W. (juin 2024). Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks [Communication écrite]. 59th Annual IEEE International Conference on Communications (ICC 2024), Denver, CO, USA. Lien externe
Tashman, D. H., Cherkaoui, S., & Hamouda, W. (2024). Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting. IEEE Transactions on Cognitive Communications and Networking, 3375500 (10 pages). Lien externe
Theriault-Lauzier, P., Cobin, D., Tastet, O., Langlais, E. L., Taji, B., Kang, G., Chong, A.-Y., So, D., Tang, A., Gichoya, J. W., Chandar, S., Déziel, P.-L., Hussin, J. G., Kadoury, S., & Avram, R. (2024). A responsible framework for applying artificial intelligence on medical images and signals at the point-of-care: the PACS-AI platform. Canadian Journal of Cardiology, 025 (39 pages). Lien externe
Toko, T. M. N. N., Bellaïche, M., & Halabi, T. (mai 2024). A Game-theoretic Approach for DDoS Attack Mitigation in IIoT Deterministic Networking [Communication écrite]. 2024 IEEE Network Operations and Management Symposium (NOMS 2024), Seoul, Republic of Korea (5 pages). Lien externe
Ton, K. T., Aloise, D., & Contardo, C. (2024). On Removing Diverse Data for Training Machine Learning Models. Dans Rassias, T. M., & Pardalos, P. M. (édit.), Mathematical Analysis, Differential Equations and Applications (Vol. 11, p. 761-783). Lien externe
Touati, R., Trung Le, W., & Kadoury, S. (2024). Multi-planar dual adversarial network based on dynamic 3D features for MRI-CT head and neck image synthesis. Physics in Medicine & Biology, 36 pages. Lien externe
Traini, L., & Li, H. (mai 2024). Workshop on Challenges in Performance Methods for Software Development (WOSP-C) [Résumé]. 15th ACM/SPEC International Conference on Performance Engineering, London, United Kingdom. Lien externe
Tranchon, A., Kunz, M., & Séoud, L. (mai 2024). Preoperative MRI Whole-Vertebrae Segmentation in Patients with Severe Adolescent Idiopathic Scoliosis [Communication écrite]. IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece. Lien externe
Tsobdjou, L. D., Pierre, S., & Quintero, A. (2024). A framework for security assessment of android mobile banking applications. Computer Networks and Communications, 2(1), 49-61. Disponible
Vakili, S., Vaziri, M., Zarei, A., & Langlois, J. M. P. (2024). DyRecMul: Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration. ACM Transactions on Reconfigurable Technology and Systems. Lien externe
Varaminybahnemiry, Z., Galasso, J., Oakes, B., & Sahraoui, H. (2024). Improving repair of semantic ATL errors using a social diversity metric. Software and Systems Modeling, 22-22. Lien externe
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