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Aalian, Y., Pesant, G., & Gamache, M. (août 2023). Optimization of Short-Term Underground Mine Planning Using Constraint Programming [Communication écrite]. 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), Toronto, ON, Canada (16 pages). Lien externe
Abboud, Z., & Kadoury, S. Impact of train- and test-time Hounsfield unit window variation on CT segmentation of liver lesions [Communication écrite]. Medical Imaging 2023: Image Processing, San Diego, CA, USA (10 pages). Lien externe
Abdul Wahab, O. (décembre 2023). A max-min security game for coordinated backdoor attacks on federated learning [Communication écrite]. IEEE International Conference on Big Data (BigData 2023), Sorrento, Italy. Lien externe
Abou Ahmed, K. (2023). Ontologie de playbook pour la réponse à incident [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Abouaomar, A., Taik, A., Filali, A., & Cherkaoui, S. (2023). Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks. IEEE Communications Magazine, 61(2), 126-132. Lien externe
Abukhalaf, S., Hamdaqa, M., & Khomh, F. On Codex Prompt Engineering for OCL Generation: An Empirical Study [Communication écrite]. 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR 2023), Melbourne, Australia. Lien externe
Abusitta, A., de Carvalho, G. H. S., Abdul Wahab, O., Halabi, T., Fung, B. C. M., & Al Mamoori, S. (2023). Deep learning-enabled anomaly detection for IoT systems. Internet of Things, 21, 100656 (13 pages). Lien externe
Aghili, R., Li, H., & Khomh, F. (2023). Studying the characteristics of AIOps projects on GitHub. Empirical Software Engineering, 28(6), 143 (49 pages). Lien externe
Ahmadi Doval Amiri, P. (2023). An Intelligent Network Traffic Prediction Model Based on Ensemble Learning for Vehicular Ad-Hoc Networks [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Alefsen, M., Vorontsov, E., & Kadoury, S. (octobre 2023). M-GenSeg: Domain Adaptation for Target Modality Tumor Segmentation with Annotation-Efficient Supervision [Communication écrite]. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada. Lien externe
Alfalqi, K., & Bellaïche, M. (2023). Emergency events detection based on integration of federated learning and active learning. International Journal of Information Technology, 15(6), 2863-2876. Lien externe
Alghamdi, R., & Bellaïche, M. (2023). An ensemble deep learning based IDS for IoT using Lambda architecture. Cybersecurity, 6(1), 17 pages. Lien externe
Allouis, A., Hamza, A. A., Dayoub, I., & Cherkaoui, S. (2023). Maximum Sum Rate of MCM-NOMA in Future Vehicular Sensor Networks. IEEE Sensors Letters, 7(7), 1-4. Lien externe
Angelard-Gontier, N. (2023). Natural Language Reasoning with Transformer Language Models [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Anwar, N., Duplessis-Guidon, P., Bilodeau, G.-A., & Bouachir, W. (juin 2023). VisiTherS : visible-thermal infrared stereo disparity estimation of human silhouette [Communication écrite]. IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2023), Vancouver, BC, Canada. Lien externe
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (2023). Coalitional Federated Learning: Improving Communication and Training on Non-IID Data with Selfish Clients. IEEE Transactions on Services Computing, 16(4), 2462-2476. Lien externe
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (février 2023). Towards Instant Clustering Approach for Federated Learning Client Selection [Communication écrite]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. Lien externe
Asgari, M. (2023). A Design Language for Prototyping and Storyboarding Data-Driven Stories [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Azarnoush, A., Dambri, O. A., Karatop, E. U., Makrakis, D., & Cherkaoui, S. (2023). Simulation and Performance Evaluation of a Bio-inspired Nanogenerator for Medical Applications. IEEE Transactions on Biomedical Engineering, 70(9), 2616-2623. Lien externe
Badran, K., Cote, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2023). Can Ensembling Preprocessing Algorithms Lead to Better Machine Learning Fairness? Computer, 56(4), 71-79. Lien externe
Bajestani, S. E. M., & Beltrame, G. (janvier 2023). Event-based RGB sensing with structured light [Communication écrite]. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023), Waikoloa, HI, USA. Lien externe
Bang, C. I.I.I., Le, W., Nguyen-Tan, P. F., Soulières, D., O'Sullivan, B., Christopoulos, A., Bissada, E., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (octobre 2023). Dynamic Prediction of Toxicities in Head and Neck Cancer Radiotherapy by 3D Convolutional Neural Network Using Daily Cone-Beam CTs [Résumé]. 65th Annual Meeting of the American Society for Radiation Oncology (ASTRO 2023), San Diego, CA, USA (1 page). Publié dans International Journal of Radiation Oncology Biology Physics, 117(2). Lien externe
Bang, C., Bernard, G., Le, W. T., Lalonde, A., Kadoury, S., & Bahig, H. (2023). Artificial intelligence to predict outcomes of head and neck radiotherapy. Clinical and Translational Radiation Oncology, 39, 100590 (9 pages). Lien externe
Bang, C., Le, W. T., Nguyen-Tan, P. F., Filion, É., Soulières, D., O'Sullivan, B., Christpoulos, A., Bissada, É., Ayad, T., Guertin, L., Lalonde, A., Markel, D., Kadoury, S., & Bahig, H. (septembre 2023). Dynamic prediction of toxicities in head and neck cancer radiotherapy by 3D convolutional neural network using daily cone-beam CTS [Résumé]. CARO-COMP Joint Scientific Meeting (CARO-COMP 2023), Montréal, Québec, Canada (1 page). Publié dans Radiotherapy and Oncology, 186(Suppl.1). Lien externe
Beckham, C., Weiss, M., Golemo, F., Honari, S., Nowrouzezahrai, D., & Pal, C. J. (2023). Visual question answering from another perspective: CLEVR mental rotation tests *. Pattern Recognition, 136, 109209 (12 pages). Lien externe
Bedard, C., Lajoie, P.-Y., Beltrame, G., & Dagenais, M. (2023). Message flow analysis with complex causal links for distributed ROS 2 systems. Robotics and Autonomous Systems, 161, 104361 (12 pages). Lien externe
Beiglig, V. (2023). Analyse et modélisation de la performance en Boccia [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Béland, A., Daudens, F., & Hurtut, T. (2023). Waffster: Hierarchical waffle charts for budget visualization. Information Visualization, 22(4), 279-290. Lien externe
Belkhiri, A., Pepin, M., Bly, M., & Dagenais, M. (2023). Performance analysis of DPDK-based applications through tracing. Journal of Parallel and Distributed Computing, 173, 1-19. Lien externe
Belkhiri, A., Shahnejat Bushehri, A., Göhring de Magalhães, F., & Nicolescu, G. (avril 2023). Transparent Trace Annotation for Performance Debugging in Microservice-oriented Systems (Work In Progress Paper) [Communication écrite]. ACM/SPEC International Conference on Performance Engineering - Companion (ICPE 2023), Coimbra, Portugal. Lien externe
Ben Braiek, H., & Khomh, F. (2023). Testing Feedforward Neural Networks Training Programs. ACM Transactions on Software Engineering and Methodology, 32(4), 1-61. Lien externe
Berhe, S., Maynard, M., & Khomh, F. (mars 2023). Maintenance Cost of Software Ecosystem Updates [Communication écrite]. 6th International Conference on Emerging Data and Industry 4.0 (EDI40 2023), Leuven, Belgium. Publié dans Procedia Computer Science, 220. Lien externe
Berseth, G., Golemo, F., & Pal, C. J. (2023). Towards Learning to Imitate from a Single Video Demonstration. Journal of Machine Learning Research, 24, 21-1174 (26 pages). Lien externe
Bertalan, V. G. F., & Ruiz, E. E. S. (2023). Correction: Using attention methods to predict judicial outcomes. Artificial Intelligence and Law, 1 page. Lien externe
Bertalan, V. G. F., & Ruiz, E. E. S. (2023). Using attention methods to predict judicial outcomes. Artificial Intelligence and Law, 29 pages. Lien externe
Bertalan, V., & Aloise, D. (octobre 2023). Using Transformer Models and Textual Analysis for Log Parsing [Communication écrite]. 34th International Symposium on Software Reliability Engineering (ISSRE 2023), Florence, Italy. Lien externe
Bhatia, A., Eghan, E. E., Grichi, M., Cavanagh, W. G., Jiang, Z. M., & Adams, B. (2023). Towards a change taxonomy for machine learning pipelines Empirical study of ML pipelines and forks related to academic publications. Empirical Software Engineering, 28(3), 60 (34 pages). Lien externe
Biagiola, M., Cardozo, N., Shin, D., Khomh, F., Stocco, A., & Riccio, V. (2023). Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Software Engineering Notes, 48(4), 39-40. Lien externe
Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., Lohöfer, F., Holch, J. W., Sommer, W., Hofmann, F., Hostettler, A., Lev-Cohain, N., Drozdzal, M., Amitai, M. M., Vivanti, R., ... Menze, B. (2023). The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Analysis, 84, 102680 (24 pages). Lien externe
Blanc, C., Shahrampour, S., Mohamed, F. B., & De Leener, B. (2023). Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury. International Journal of Imaging Systems and Technology, 33(4), 1396-1405. Lien externe
Blostein, N., Banerjee, R., Bédard, S., Shahrampour, S., De Leener, B., Mohamed, F. B., Middleton, D., Krisa, L., & Cohen-Adad, J. (mai 2023). Multimodal pediatric spinal cord template [Communication écrite]. QBIN Scientific Day 2023, Laval, Qc, Canada. Lien externe
Bosco, M., Cavoto, P., Ungolo, A., Muse, B. A., Khomh, F., Nardone, V., & Di Penta, M. UnityLint: A Bad Smell Detector for Unity [Communication écrite]. 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC 2023), Melbourne, Australia. Lien externe
Boucher, C., Stower, R., Varadharajan, V. S., Zibetti, E., Levillain, F., & St-Onge, D. (2023). Motion-based communication for robotic swarms in exploration missions. Autonomous Robots, 15 pages. Lien externe
Bouchoucha, R. (2023). Quality Assurance in Deep Reinforcement Learning Applications [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Bouchoucha, R., Braiek, H. B., Khomh, F., Bouzidi, S., & Zaatour, R. (2023). Robustness assessment of hyperspectral image CNNs using metamorphic testing. Information and Software Technology, 162, 10 pages. Lien externe
Bourgeat, M., Navarro, A., Boisvert, L., Marty, T., Rousseau, L.-M., & Cappart, Q. (août 2023). SeaPearl - XCSP Competition (MiniTrack) [Résumé]. XCSP3 Competition 2023, France (2 pages). Non disponible
Bouziane, A. (2023). On-Demand Health Data Provisioning with Custom Temporary Data Views for Big Data Platforms [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Brossier, D., Flechelles, O., Sauthier, M., Engert, C., Chahir, Y., Emeriaud, G., Cheriet, F., Jouvet, P., & de Montigny, S. (2023). Evaluation of the SIMULRESP: A simulation software of child and teenager cardiorespiratory physiology. Pediatric Pulmonology, 58(10), 2832-2840. Lien externe
Brouillard, V. P. (2023). Des milliards de flux : l'analyse d'applications à gestion d'états dans le contexte des commutateurs programmables [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Burlats, A., & Pesant, G. (mai 2023). Exploiting Entropy in Constraint Programming [Communication écrite]. 20th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2023), Nice, France. Lien externe
Cappart, Q., Chételat, D., Khalil, E. B., Lodi, A., Morris, C., & Velickovic, P. (2023). Combinatorial Optimization and Reasoning with Graph Neural Networks. Journal of Machine Learning Research, 24, 130 (61 pages). Lien externe
Caron, R., Séoud, L., Londono, I., & Villemure, I. (2023). Segmentation of trabecular bone microdamage in Xray microCT images using a two-step deep learning method. Journal of the Mechanical Behavior of Biomedical Materials, 137, 105540 (9 pages). Lien externe
Casanova Paga, A. (2023). Active Learning, Controllable Generative Models and Dataset Augmentation [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Cassagne, J., Merlo, E., Branco, P., Jourdan, G.-V., & Onut, I.-V. (octobre 2023). Unsupervised Graph Neural Networks for Source Code Similarity Detection [Communication écrite]. 26th International Conference on Discovery Science (DS 2023), Porto, Portugal. Lien externe
Charef, N., Abdelhafidh, M., Ben Mnaouer, A., Andersson, K., & Cherkaoui, S. (décembre 2023). RL-Based Adaptive Duty Cycle Scheduling in WSN-Based IoT Nets [Communication écrite]. IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia. Lien externe
Charpentier, A., Neal, C., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (août 2023). Real-Time Defensive Strategy Selection via Deep Reinforcement Learning [Communication écrite]. 18th International Conference on Availability, Reliability and Security (ARES 2023), Benevento, Italy (11 pages). Lien externe
Chembakottu, B. (2023). Understanding User Perception of Mobile App Quality: A Large-Scale Multi-Dimension Study of the Reviews and Ratings of Android Sports Apps [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Chembakottu, B., Li, H., & Khomh, F. (2023). A large-scale exploratory study of android sports apps in the google play store. Information and Software Technology, 164, 107321 (18 pages). Lien externe
Chen, J., Ding, Z., Tang, Y., Sayagh, M., Li, H., Adams, B., & Shang, W. (décembre 2023). IoPV : on inconsistent option performance variations [Communication écrite]. 2023 ESEC/FSE Conferences, San Francisco, CA, USA (13 pages). Lien externe
Cherkaoui, S. (octobre 2023). Quantum Leap: Exploring the Potential of Quantum Machine Learning for Communication Networks [Communication écrite]. 26th ACM International Conference on Modelling, Analysis, and Simulation of Wireless and Mobile Systems (MSWiM 2023), Montreal, CANADA (1 page). Lien externe
Crochelet, P. (2023). Attribution de cyber-attaquants à partir de logs Honeypots [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Dah-Achinanon, U., Marjani Bajestani, S. E., Lajoie, P.-Y., & Beltrame, G. (2023). Search and rescue with sparsely connected swarms. Autonomous Robots, 15 pages. Lien externe
Dai, H., Tang, Y., Li, H., & Shang, W. PILAR: Studying and Mitigating the Influence of Configurations on Log Parsing [Communication écrite]. 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE 2023), Melbourne, Australia. Lien externe
Dakhel, A. M., Desmarais, M. C., & Khomh, F. (2023). Dev2vec: Representing domain expertise of developers in an embedding space. Information and Software Technology, 159, 12 pages. Lien externe
Dakhel, A. M., Majdinasab, V., Nikanjam, A., Khomh, F., Desmarais, M. C., & Jiang, Z. M. (2023). GitHub Copilot AI pair programmer: Asset or Liability? Journal of Systems and Software, 203, 111734 (23 pages). Lien externe
Delas, J. (2023). Étude de la vulnérabilité des systèmes de détection d'intrusion par apprentissage par renforcement face aux comportements adverses [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Denys, P.-F. (2023). Distributed Performance Analysis Tools for Large Scale Computations [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Denys, P.-F., Fournier, Q., & Dagenais, M. (2023). Distributed computation of the critical path from execution traces. Software: Practice and Experience, 53(8), 1722-1737. Lien externe
Dhaouadi, M., Oakes, B., & Famelis, M. (octobre 2023). Towards Understanding and Analyzing Rationale in Commit Messages using a Knowledge Graph Approach [Communication écrite]. 5th Workshop on Artificial Intelligence and Model-driven Engineering Co-located with MODELS, Västerås, Sweden. Non disponible
Dib, M., & Pierre, S. (2023). Insider Attack Model Against HSM-Based Architecture. IEEE Access, 11, 86848-86858. Lien externe
Ding, Z., Li, H., Shang, W., & Chen, T.-H. P. (2023). Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks. ACM Transactions on Software Engineering and Methodology, 32(2), 1-43. Lien externe
Dion, O. (2023). Points de trace dynamiques, portables et extensibles en espace utilisateur avec un surcoût minimal et une couverture maximale [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Doucet, C. (2023). Simulateur en réalité virtuelle pour l'entraînement des spécialistes en chirurgie vitréo-rétinienne [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Dourid, I., Bouzid, A., Chidami, S., Ould-Bachir, T., & Chaouki, J. (juin 2023). Characterization and Modeling of a Microwave Reactor for the Open-Loop Control of its Impedance [Communication écrite]. 2023 24th International Carpathian Control Conference (ICCC 2023), Miskolc-Szilvasvarad, Hungary. Lien externe
Doval Amiri, P. A., & Pierre, S. (2023). An ensemble-based machine learning model for forecasting network traffic in VANET. IEEE Access, 11, 22855-22870. Disponible
Doval Amiri, P. A., & Pierre, S. (juin 2023). A Soft Voting Classification Model for Network Traffic Prediction in VANET/V2X [Communication écrite]. 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2023), Montreal, Qc, Canada. Lien externe
Du, W., & Beltrame, G. (mai 2023). Real-Time Simultaneous Localization and Mapping with LiDAR Intensity [Communication écrite]. IEEE International Conference on Robotics and Automation (ICRA 2023), London, United kingdom. Lien externe
Dumas, R., Lacourse, M., Kassem, R., Lesk, M. R., & Costantino, S. (2023). Quantification of Hypotony Maculopathy Using Spectral-Domain Optical Coherence Tomography. Journal of Glaucoma, 32(4), 287-292. Lien externe
Durocher, S. (2023). Entity Typing with Natural Language Inference for Fine-Grained Named Entity Recognition [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Ebrahimi, A., Pullu, V. N., Langlois, J. M. P., & David, J. P. Iterative pruning algorithm for efficient look-up table implementation of binary neural networks [Communication écrite]. 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). Lien externe
Ehsan, O., Khomh, F., Zou, Y., & Qiu, D. (2023). Ranking code clones to support maintenance activities. Empirical Software Engineering, 28(3), 38 pages. Lien externe
El Fatimi, L. (2023). Détection, prédiction et classification des tumeurs cérébrales basées sur les modèles formels et l'apprentissage en profondeur [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
El Fatimi, L., & Boucheneb, H. (2023). Tumor growth prediction and classification based on the KNN algorithm and discrete-time Markov chains (DTMC). Neural Computing and Applications, 35(13), 9739-9751. Lien externe
Elaasar, M., Rouquette, N., Wagner, D., Oakes, B., Hamou-Lhadj, A., & Hamdaqa, M. (octobre 2023). openCAESAR: Balancing agility and rigor in model-based systems engineering [Communication écrite]. 5th Workshop on Artificial Intelligence and Model-driven Engineering Co-located with MODELS, Västerås, Sweden. Non disponible
Elgaroui, L., Pierre, S., & Chamberland, S. (2023). New routing protocol for reliability to intelligent transportation communication. IEEE Transactions on Mobile Computing, 22(4), 2281-2294. Lien externe
Elharti, M.-A. (2023). Conception et implémentation en langage P4 de la fonction de passerelle d'accès de la 5G, et caractérisation de ses performances sur un commutateur logiciel [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Erfan, F., Bellaïche, M., & Halabi, T. (juin 2023). Community Detection Algorithm for Mitigating Eclipse Attacks on Blockchain-enabled Metaverse [Communication écrite]. IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom 2023), Kyoto, Japan. Lien externe
Etaiwi, L. (2023). Consensus-Based Recommendation Technique for Software Engineering Applications [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Falahatraftar, F., Pierre, S., & Chamberland, S. (2023). An intelligent congestion avoidance mechanism based on generalized regression neural network for heterogeneous vehicular networks. IEEE Transactions on Intelligent Vehicles, 8(4), 3106-3118. Lien externe
Fathy, W., Emeriaud, G., & Cheriet, F. (avril 2023). Prediction of ICU Readmission Using LightGBM Classifier [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (4 pages). Lien externe
Feshki, M., Martel, S., De Koninck, Y., & Gosselin, B. (2023). Improving flat fluorescence microscopy in scattering tissue through deep learning strategies. Optics Express, 31(14), 23008-23026. Lien externe
Filali, A., Nour, B., Cherkaoui, S., & Kobbane, A. (2023). Communication and Computation O-RAN Resource Slicing for URLLC Services Using Deep Reinforcement Learning. IEEE Communications Standards Magazine, 7(1), 66-73. Lien externe
Fouad, H. (2023). Control Barrier Functions For Energy Sufficiency In Mobile Robot Systems [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (2023). Optical frequency domain reflectometry shape sensing using an extruded optical fiber triplet for intra-arterial guidance. Optics Express, 31(1), 396-410. Lien externe
Garroussi, Z., Badirou, A. W., D'Amours, M., Girard, A., & Sanso, B. (2023). On the economic viability of solar energy when upgrading cellular networks. IEEE Transactions on Green Communications and Networking, 7(2), 744-758. Lien externe
Gazda, M., Drotar, P., Romaguera, L. V., & Kadoury, S. (avril 2023). End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
Ghari, S. (2023). Benchmarking Framework and Performance Modeling for Evaluating the Performance of Spark-Based Data Science Projects [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Gilmer, S., Bhat, A., Shah, S., Cherry, K., Cheng, J., & Guo, J. L. C. (2023). SUMMIT: Scaffolding Open Source Software Issue Discussion Through Summarization. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 297 (27 pages). Lien externe
Gonzalez-Gallardo, C.-E., Deveaud, R., SanJuan, E., & Torres-Moreno, J.-M. (avril 2019). Audio Summarization withAudio Features andProbability Distribution Divergence [Communication écrite]. 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019), La Rochelle, France. Lien externe
Gosselin, F., & Zouaq, A. (novembre 2023). SORBET: A Siamese Network for Ontology Embeddings Using a Distance-Based Regression Loss and BERT [Communication écrite]. 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece. Lien externe
Grajales, D., Le, W., Dallaire, F., Sheehy, G., David, S., Tran, T., Leblond, F., Menard, C., & Kadoury, S. (octobre 2023). Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification [Communication écrite]. 2nd International Workshop on Cancer Prevention Through Early Detection (CaPTion 2023), Vancouver, BC, Canada. Lien externe
Gravey, T., Meddah, K., Robert, T., Rutovic, E., Montheard, R., & Ould-Bachir, T. A PYNQ-Based Data Acquisition System for HIL Simulations on Low-Cost FPGAs [Communication écrite]. 2023 IEEE International Conference on Industrial Technology (ICIT 2023), Orlando, FL, USA (6 pages). Lien externe
Hadian, M. (2023). Power Estimation Framework to Ensure the Reliability of Edge Devices in Internet-of-Things Applications [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Hajizadeh, F., Alavoine, L., Ould-Bachir, T., Sirois, F., & David, J. P. (août 2023). FPGA-based FDNE models for the accurate real-time simulation of power systems in aircraft [Communication écrite]. 12th International Conference on Renewable Energy Research and Application, Oshawa, ON, Canada (5 pages). Lien externe
Hamel, J. (2023). Performance Evaluation of Post-Quantum Cryptography in Avionic Communication [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Hébert-Lavoie, M., Ozell, B., & Doyon-Poulin, P. (2023). The Relationship Between Immersion and Psychophysiological Indicators. PRESENCE: Virtual and Augmented Reality, 32, 233-262. Lien externe
Hernandez, D., Pasquier, P., & Guibault, F. (avril 2023). Numerical simulation of a sedimentation tank applied to an open loop groud heat exchanger system [Communication écrite]. EGU General Assembly, Vienna, Austria. Lien externe
Hooshyar, H., Guerra, E., Melegati, J., Khanna, D., Aldaeej, A., Matturro, G., Zaina, L., Greer, D., Rafiq, U., Chanin, R., Wang, X., Garbajosa, J., Abrahamsson, P., Khomh, F., & Nguyen-Duc, A. (2023). Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies. IEEE Access, 11, 55178-55203. Lien externe
Hosseinimanesh, G., Ghadiri, F., Alsheghri, A., Zhang, Y., Keren, J., Cheriet, F., & Guibault, F. (février 2023). Improving the quality of dental crown using a transformer-based method [Communication écrite]. Medical Imaging 2023 : Physics of Medical Imaging,, San Diego, CA, USA (8 pages). Lien externe
Hosseinimanesh, G., Ghadiri, F., Guibault, F., Cheriet, F., & Keren, J. (octobre 2023). From Mesh Completion to AI Designed Crown [Communication écrite]. 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Vancouver, BC, Canada. Lien externe
Houngbadji, T. (octobre 2023). Energy-efficient predictive control and reinforcement learning agent for power transformers cooling systems [Communication écrite]. International Conference on Power and Renewable Energy Engineering (PREE 2023), Tokyo, Japan. Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. (2023). AmbieGen: A search-based framework for autonomous systems testing. Science of Computer Programming, 230, 102990 (10 pages). Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. RIGAA at the SBFT 2023 Tool Competition - Cyber-Physical Systems Track [Communication écrite]. 2023 IEEE/ACM International Workshop on Search-Based and Fuzz Testing (SBFT 2023), Melbourne, Australia. Lien externe
Italis, O. (2023). Conception d'une architecture basée sur la blockchain pour des services de commerce électronique [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Italis, O., Pierre, S., & Quintero, A. (2023). Privacy-preserving model for biometric-based authentication and Key Derivation Function. Journal of Information Security and Applications, 78, 103624 (12 pages). Lien externe
Jamshidi, S., Nikanjam, A., Hamdaqa, M. A., & Khomh, F. (2023). Attack Detection by Using Deep Learning for Cyber-Physical System. Dans Artificial Intelligence for Cyber-Physical Systems Hardening (Vol. 2, 155-179). Lien externe
Jodogne Del Litto, K. (2023). Segmentation d'instances d'objets par approximation de masques [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
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Kallel, S., Jmaiel, M., Zulkernine, M., Hadj Kacem, A., Cuppens, F., & Boulahia Cuppens, N. (édit.) (2023). Risks and Security of Internet and Systems : 17th International Conference, CRiSIS 2022, Sousse, Tunisia, December 7-9, 2022, Revised Selected Papers. Lien externe
Kamkuimo, S. A., Göhring de Magalhães, F., Zrelli, R., Misson, H. A., Ben Attia, M., & Nicolescu, G. (2023). Decomposition and Modeling of the Situational Awareness of Unmanned Aerial Vehicles for Advanced Air Mobility. Drones, 7(8), 501-501. Disponible
Karthik, E. N., Cheriet, F., & Laporte, C. (2023). Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines. IEEE Open Journal of Engineering in Medicine and Biology, 7 pages. Lien externe
Ke, N. (2023). From "What" to "Why": Towards Causal Deep Learning [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Keykhaie, S., & Pierre, S. (2023). Lightweight and Secure Face-based Active Authentication for Mobile Users. IEEE Transactions on Mobile Computing, 22(3), 1551-1565. Lien externe
Khalek, N. A., Tashman, D., & Hamouda, W. (2023). Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey. IEEE Communications Surveys and Tutorials, 38 pages. Lien externe
Khanahmadi, M., Shameli-Sendi, A., Jabbarifar, M., Fournier, Q., & Dagenais, M. (2023). Detection of microservice-based software anomalies based on OpenTracing in cloud. Software: Practice and Experience, 53(8), 1681-1699. Lien externe
Khani, M. (2023). Automatic Analysis of the Scoliotic Trunk for Surgery Planning and Outcome Assessment [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Khani, M., Debanné, P., Labelle, H., Parent, S., & Cheriet, F. Prediction of postoperative 3D spine shape using Controlled Point Deformation Network (CPDNet) [Communication écrite]. SPIE Medical Imaging 2023 : Image Processing, San Diego, CA, USA (7 pages). Lien externe
Khodayarseresht, E., Shameli-Sendi, A., Fournier, Q., & Dagenais, M. (2023). Energy and carbon-aware initial VM placement in geographically distributed cloud data centers. Sustainable Computing: Informatics and Systems, 39, 11 pages. Lien externe
Khomh, F. (décembre 2023). Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development [Résumé]. 19th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2023), San Francisco, CA, USA (1 page). Lien externe
Laberge, G., Pequignot, Y., Mathieu, A., Khomh, F., & Marchand, M. (2023). Partial Order in Chaos: Consensus on Feature Attributions in the Rashomon Set. Journal of Machine Learning Research, 24(364), 50 pages. Lien externe
Lajoie, P.-Y., & Beltrame, G. (2023). Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition. IEEE Robotics and Automation Letters, 8(2), 792-799. Lien externe
Lajoie, P.-Y., & Beltrame, G. (2023). Swarm-SLAM: Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems. IEEE Robotics and Automation Letters, 9(1), 475-482. Lien externe
Lamghari, S. (2023). Reconnaissance automatisée des activités et des comportements humains à travers l'analyse de vidéos [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Lamghari, S., Bilodeau, G.-A., & Saunier, N. (juin 2023). Transformer-based human action recognition with dynamic feature selection [Communication écrite]. 20th Conference on Robots and Vision, Montreal, Qc, Canada. Lien externe
Landelle, C., Dahlberg, L. S., Lungu, O., Misic, B., De Leener, B., & Doyon, J. (2023). Altered Spinal Cord Functional Connectivity Associated with Parkinson's Disease Progression. Movement Disorders, 38(4), 636-645. Lien externe
Lashkari, M. (2023). Exploring User Perceptions and the Design of Automated Recruitment Tools to Mitigate Unconscious Bias and Recruitment Challenges [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Lashkari, M., & Cheng, J. (avril 2023). "Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated Tools [Communication écrite]. Conference on Human Factors in Computing Systems (CHI 2023), Hamburg, Germany (16 pages). Lien externe
Le, W. T., Bang, C., Cordelle, P., Markel, D., Nguyen-Tan, P. F., Bahig, H., & Kadoury, S. (avril 2023). Prediction of Head and Neck Radiotherapy Toxicity Using a Deformable 3D CNN on Longitudinal Daily CBCT Acquisitions [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
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Li, N., Tous, C., Dimov, I. P., Fei, P., Zhang, Q., Lessard, S., Moran, G., Jin, N., Kadoury, S., Tang, A., Martel, S., & Soulez, G. (2023). Design of a Patient-Specific Respiratory-Motion-Simulating Platform for In Vitro 4D Flow MRI. Annals of Biomedical Engineering, 51(5), 1028-1039. Lien externe
Li, N., Tous, C., Dimov, I. P., Fei, P., Zhang, Q., Lessard, S., Tang, A., Martel, S., & Soulez, G. (2023). Design of a Low-cost, Self-adaptive and MRI-compatible Cardiac Gating System. IEEE Transactions on Biomedical Engineering, 70(11), 3126-3136. Lien externe
Li, S., Gauthier, L., Cheriet, F., Fortin, C., Paquette, P., & Laporte, C. (février 2023). Lamina landmark detection in ultrasound images: a preliminary study [Communication écrite]. Medical Imaging 2023: Ultrasonic Imaging and Tomography, San Diego, CA, USA (8 pages). Lien externe
Liao, L., Li, H., Shang, W., Sporea, C., Toma, A., & Sajedi, S. (décembre 2023). Adapting Performance Analytic Techniques in a Real-World Database-Centric System: An Industrial Experience Report [Communication écrite]. 31st ACM Joint Meeting of the European Software Engineering Conference / Symposium on the Foundations-of-Software-Engineering (ESEC/FSE), San Francisco, CA San Francisco, CA. Lien externe
López-Arango, G., Deguire, F., Agbogba, K., Audet-Duchesne, É., Boucher, M.-A., Knoth, I. S., El-Jalbout, R., Damphousse, A., Kadoury, S., & Lippé, S. (2023). Impact of macrocephaly, as an isolated trait, on EEG signal as measured by spectral power and multiscale entropy during the first year of life. Developmental Neuroscience, 45(4), 210-222. Lien externe
Madsen, A., Reddy, S., & Anbil Parthipan, S. C. (2023). Post-hoc Interpretability for Neural NLP: A Survey. ACM Computing Surveys, 55(8), 1-42. Lien externe
Makhroute, E. M. (2023). Conception, implémentation et caractérisation des performances de la fonction passerelle d'accès AGF de la 5G programmée en langage P4 [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Makhroute, E.-M., Elharti, M.-A., Brouillard, V., Savaria, Y., & Ould-Bachir, T. (décembre 2023). Implementing and Evaluating a P4-based Access Gateway Function on a Tofino Switch [Communication écrite]. 6th International Conference on Advanced Communication Technologies and Networking (CommNet 2023), Rabat, Morocco (7 pages). Lien externe
Marty, T. (2023). Apprentissage par renforcement appliqué à la résolution de problèmes de programmation par contraintes [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Marty, T., Francois, T., Tessier, P., Gautier, L., Rousseau, L.-M., & Cappart, Q. (août 2023). Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver [Communication écrite]. 29th International Conference on Principles and Practice of Constraint Programming (CP 2023), Toronto, ON, Canada (19 pages). Lien externe
Mashreghi-Moghadam, P., Ould-Bachir, T., & Savaria, Y. An Area-efficient Memory-based Architecture for P4-programmable Streaming Parsers in FPGAs [Communication écrite]. 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). Lien externe
Masís Solano, M., Bélanger Nzakimuena, C., Dumas, R., Lesk, M. R., & Costantino, S. (2023). Ocular rigidity and choroidal thickness changes in response to microgravity: A case study. American Journal of Ophthalmology Case Reports, 32, 101940 (4 pages). Lien externe
Masoom, A., Gholinezhad, J., Ould-Bachir, T., & Mahseredjian, J. (mai 2022). Electromagnetic Transient Modeling of Power Electronics in Modelica, Accuracy and Performance Assessment [Communication écrite]. 14th International conference of the IMACS TC1 Committee (ELECTRIMACS 2022), Nancy, France. Lien externe
Meidani, M., Lamothe, M., & McIntosh, S. (2023). Assessing the exposure of software changes: The DiPiDi approach. Empirical Software Engineering, 28(2), 36 pages. Lien externe
Meilleur, J. (2023). Suivi multiobjet à l'aide de l'apprentissage automatique et de points au haut des objets [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
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Miah, M., Bilodeau, G.-A., & Saunier, N. (juin 2023). Multi-object tracking and segmentation with a space-time memory network [Communication écrite]. 20th Conference on Robots and Vision, Montreal, Qc, Canada (10 pages). Non disponible
Miloudi, A., Suarez, L., Boulahia Cuppens, N., Cuppens, F., & Preda, S. (juin 2023). Trust Management Framework for Containerized Workloads Applications to 5G Networks [Communication écrite]. Applied Cryptography and Network Security Workshops (ACNS 2023), Kyoto, Japan. Lien externe
Mlika, Z., Cherkaoui, S., Laprade, J. F., & Corbeil-Letourneau, S. (2023). User trajectory prediction in mobile wireless networks using quantum reservoir computing. IET Quantum Communication, 4(3), 125-135. Disponible
Mohajeri, B. (2023). Investigating User Perceptions and User Trust of Smart Health Applications [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Moine, R. (2023). Comparaison empirique de deux stratégies de recherche locale [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Morovati, M. M., Nikanjam, A., Khomh, F., & Jiang, Z. M. (2023). Bugs in machine learning-based systems: a faultload benchmark. Empirical Software Engineering, 28(3), 33 pages. Lien externe
Moudoud, H., & Cherkaoui, S. (2023). Empowering Security and Trust in 5G and Beyond: A Deep Reinforcement Learning Approach. IEEE Open Journal of the Communications Society, 11 pages. Lien externe
Moudoud, H., & Cherkaoui, S. (décembre 2023). Enhancing Open RAN Security with Zero Trust and Machine Learning [Communication écrite]. IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia. Lien externe
Moudoud, H., & Cherkaoui, S. (juin 2023). Federated Learning Meets Blockchain to Secure the Metaverse [Communication écrite]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. Lien externe
Moudoud, H., & Cherkaoui, S. (2023). Multi-tasking federated learning meets blockchain to foster trust and security in the Metaverse. Ad Hoc Networks, 150, 17 pages. Lien externe
Moudoud, H., Hamhoum, W., & Cherkaoui, S. (décembre 2023). Strengthening Open Radio Access Networks: Advancing Safeguards Through ZTA and Deep Learning [Communication écrite]. IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia. Lien externe
Mumtaz, S., Cherkaoui, S., Guizani, M., Rodrigues, J. J. P. C., El Saddik, A., Maharjan, S., Xiao, Y., & Ashraf, I. (2023). Guest Editorial Digital Twins for Mobile Networks-Part II. Ieee Journal on Selected Areas in Communications, 41(11), 3349-3354. Lien externe
Muse, B. A., Khomh, F., & Antoniol, G. (2023). Refactoring practices in the context of data-intensive systems. Empirical Software Engineering, 28(2), 46 (66 pages). Lien externe
Naimi, S., Bouachir, W., & Bilodeau, G.-A. (2023). 1D-convolutional transformer for Parkinson disease diagnosis from gait. Neural Computing and Applications, 11 pages. Lien externe
Nardone, V., Muse, B. A., Abidi, M., Khomh, F., & Di Penta, M. (2023). Video Game Bad Smells: What They Are and How Developers Perceive Them. ACM Transactions on Software Engineering and Methodology, 32(4), 1-35. Lien externe
Noei, S., Li, H., Georgiou, S., & Zou, Y. (2023). An Empirical Study of Refactoring Rhythms and Tactics in the Software Development Process. IEEE Transactions on Software Engineering, 49(12), 5103-5119. Lien externe
Nouwou Mindom, P. S., Nikanjam, A., & Khomh, F. (2023). A comparison of reinforcement learning frameworks for software testing tasks. Empirical Software Engineering, 28(5), 111 (76 pages). Lien externe
Oakes, B., Famelis, M., & Sahraoui, H. (2023). Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice. ACM Transactions on Software Engineering and Methodology, 48 pages. Disponible
Oakes, B., Parsai, A., Meyers, B., David, I., Mierlo, S. V., Demeyer, S., Denil, J., Meulenaere, P. D., & Vangheluwe, H. (février 2022). A Digital Twin Description Framework and Its Mapping to Asset Administration Shell***** [Communication écrite]. 9th et 10th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2021 & MODELSWARD 2022) (24 pages). Lien externe
Oakes, B., Troya, J., Galasso, J., & Wimmer, M. (2023). Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis. Software and Systems Modeling, 27 pages. Lien externe
Ouraou, E., Romaguera, L. V., Tonneau, M., Bahig, H., & Kadoury, S. (février 2023). Prediction of free-breathing 4DCT lung deformation using probabilistic motion auto-encoders [Communication écrite]. Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, CA, USA (7 pages). Lien externe
Parham, Z. (2023). Explaining the Behavior of Reinforcement Learning Agents Using Association Rules [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Parham, Z., de Lille, V. T., & Cappart, Q. (juin 2023). Explaining the Behavior of Reinforcement Learning Agents Using Association Rules [Communication écrite]. 17th International Conference on Learning and Intelligent Optimization (LION-17 2023), Nice, France. Lien externe
Parjadis, A., Cappart, Q., Massoteau, Q., & Rousseau, L.-M. (juin 2023). Repositioning Fleet Vehicles: A Learning Pipeline [Communication écrite]. 17th International Conference on Learning and Intelligent Optimization (LION-17 2023), Nice, France. Lien externe
Peng, W. (2023). Applications of Deep Learning in Fluid Dynamics [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Peng, W., Yuan, Z., Li, Z., & Wang, J. (2023). Linear attention coupled Fourier neural operator for simulation of three-dimensional turbulence. Physics of Fluids, 35(1), 17 pages. Lien externe
Pesant, G. (août 2023). Mini CPBP : a constraint solver propagating beliefs [Résumé]. XCSP3 Competition 2023, France. Non disponible
Pezzoli, G., & Pesant, G. (mai 2023). A Weighted Counting Algorithm for the Circuit Constraint [Communication écrite]. 20th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2023), Nice, France. Lien externe
Picard, C., & Pierre, S. (2023). RLAuth: A risk-based authentication system using reinforcement learning. IEEE Access, 11, 61129-61143. Disponible
Piché, D. (2023). Techniques d'analyse ciblée de mémoire en temps réel pour les systèmes embarqués [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Piche, D., Font, L., Zouaq, A., & Gagnon, M. (2023). Comparing Heuristic Rules and Masked Language Models for Entity Alignment in the Literature Domain. Journal on Computing and Cultural Heritage, 16(3), 18 pages. Lien externe
Pierre, S., Dupénor, J., Kernizan, R., Vincent, M.-D., Dauphin-Pierre, S., & Pierre, J. (2023). Analysis of an Entrepreneurial Ecosystem in Northern Haiti to Stimulate Innovation and Reduce Poverty. Journal of Entrepreneurship, 25 pages. Lien externe
Playout, C. (2023). Modélisation interprétable du diagnostic de pathologies rétiniennes par apprentissage profond [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
Poellhuber, L.-V., Poellhuber, B., Desmarais, M. C., Leger, C., & Manh-Chien Vu, M. (mars 2023). Cluster-Based Performance of Student Dropout Prediction as a Solution for Large Scale Models in a Moodle LMS [Communication écrite]. 13th International Conference on Learning Analytics and Knowledge: Towards Trustworthy Learning Analytics (LAK 2023), Arlington, TX, USA. Lien externe
Popovic, L. (2023). Apprentissage d'inégalités duales pour la génération de colonnes appliquée au problème d'horaires d'autobus électriques avec dépôts multiples [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Qasse, I., Mishra, S., Jonsson, B. þ., Khomh, F., & Hamdaqa, M. (juillet 2023). Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts [Communication écrite]. IEEE International Conference on Software Services Engineering (SSE 2023), Chicago, IL, USA. Lien externe
Rafique, W., Hafid, A. S., & Cherkaoui, S. (2023). SoftCaching: A framework for caching node selection and routing in Software-Defined Information Centric Internet of Things. Computer Networks, 235, 12 pages. Lien externe
Rahman, M. S., Khomh, F., Hamidi, A., Cheng, J., Antoniol, G., & Washizaki, H. (2023). Machine learning application development: practitioners insights. Software Quality Journal, 55 pages. Lien externe
Randel, R., Aloise, D., & Hertz, A. (avril 2023). A Lagrangian-based approach to learn distance metrics for clustering with minimal data transformation [Communication écrite]. SIAM International Conference on Data Mining (SDM 2023), Minneapolis, MN, USA. Lien externe
Rastgar-Amini, F., Aloise, D., Contardo, C., & Desaulniers, G. (2023). Data mining-driven shift enumeration for acceleratiing the solution of large-scale personnel scheduling problems. (Rapport technique n° G-2023-61). Lien externe
Reyd, S. (2023). Comparaison et étude de la généralisation de modèles neuronaux pré-entrainés pour la génération de requêtes SPARQL [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Reyd, S., & Zouaq, A. (novembre 2023). Assessing the Generalization Capabilities of Neural Machine Translation Models for SPARQL Query Generation [Communication écrite]. 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece. Lien externe
Richer, E., Masis, M., Cheriet, F., Lesk, M. R., & Costantino, S. (avril 2023). Noise-free one-cardiac-cycle OCT videos for local assessment of retinal tissue deformation [Résumé]. ARVO Annual Meeting (ARVO 2023), New Orleans, LA, USA (4 pages). Publié dans Investigative Ophthalmology & Visual Science, 64(8). Non disponible
Richer, E., Solano, M. M., Cheriet, F., Lesk, M. R., & Costantino, S. (avril 2023). Noise-Free One-Cardiac-Cycle OCT Videos for Local Assessment of Retinal Tissue Deformation [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
Rjoub, G., Bentahar, J., & Abdul Wahab, O. (juin 2023). Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning [Communication écrite]. International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. Lien externe
Rjoub, G., Bentahar, J., Abdul Wahab, O., Mizouni, R., Song, A., Cohen, R., Otrok, H., & Mourad, A. (2023). A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Transactions on Network and Service Management, 20(4), 5115-5140. Lien externe
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., Luccioni, A. S., Maharaj, T., Sherwin, E. D., Mukkavilli, S. K., Körding, K. P., Gomes, C. P., Ng, A. Y., Hassabis, D., Platt, J. C., ... Bengio, Y. (2023). Tackling climate change with machine learning. ACM Computing Surveys, 55(2), 42 (96 pages). Disponible
Romaguera, L. V., Alley, S., Carrier, J.-F., & Kadoury, S. (2023). Conditional-based Transformer network with learnable queries for 4D deformation forecasting and tracking. IEEE Transactions on Medical Imaging, 42(6), 1603-1618. Lien externe
Rousselot, A., Boulahia Cuppens, N., & Bouakkaz, S. (juillet 2023). AIS Authentication Using Certificateless Cryptography [Communication écrite]. 20th International Conference on Security and Cryptography (SECRYPT 2023), Rome, Italie (13 pages). Disponible
Rudich, I., Cappart, Q., & Rousseau, L.-M. (2023). Improved Peel-and-Bound: Methods for Generating Dual Bounds with Multivalued Decision Diagrams. Journal of Artificial Intelligence Research, 77, 1489-1538. Lien externe
Saadallah, A., Brunet, P., El-Korbi, I., Senouci, S.-M., & Cherkaoui, S. (décembre 2023). Leveraging Graph Theory for Efficient Cache Policy Design in 360° Video Streaming [Communication écrite]. IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia. Lien externe
Saber, R., Henault, D., Messaoudi, N., Rebolledo, R., Montagnon, E., Soucy, G., Stagg, J., Tang, A., Turcotte, S., & Kadoury, S. (2023). Radiomics using computed tomography to predict CD73 expression and prognosis of colorectal cancer liver metastases. Journal of Translational Medicine, 21(1), 16 pages. Disponible
Saber, R., Henault, D., Rebolledo, R., Turcotte, S., & Kadoury, S. (avril 2023). Ensemble Tabnet Predicting a T-Cell/MHC-I-Based Immune Profile Biomarker for Colorectal Liver Metastases from CT Images [Communication écrite]. 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Cartagena, Colombia (5 pages). Lien externe
Saber, R., Routy, B., Turcotte, S., & Kadoury, S. (octobre 2023). RNA sequencing-based histological subtyping of non-small cell lung cancer with generative adversarial data imputation [Communication écrite]. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2023), Pittsburgh, PA, USA (4 pages). Lien externe
Sarkar, B., Miquet-Westphal, F., Bobbara, S., George, B., Beltrame, G., Dousset, D., Wu, K., & Cicoira, F. (2023). Electromagnetic interference shielding in lightweight carbon xerogels. Materials Research Express, 10(4), 045601 (8 pages). Lien externe
Seifi, S., Beaubrun, R., Bellaïche, M., & Halabi, T. A Study on the Efficiency of Intrusion Detection Systems in IoT Networks [Communication écrite]. 2023 International Conference on Computer, Information and Telecommunication Systems (CITS 2023), Genoa, Italy (8 pages). Lien externe
Shahrampour, S., Alizadeh, M., Middleton, D., De Leener, B., Krisa, L., Flanders, A. E., Faro, S. H., Cohen-Adad, J., Mulcahey, M.J., & Mohamed, F. B. (juin 2023). Quantitative magnetic resonance imaging to quantify the macro and microstructural changes in normal and pediatrics with spinal cord injury [Affiche]. ISMRM & ISMRT annual Meeting & Exhibition, Toronto, ON, Canada. Lien externe
Sigurleifsson, B., Ahmed, N., Verdet, A., Hamdaqa, M., Sabri, M., & Pelletier, I. (2023). An approach for modeling the operational requirements of FaaS applications for optimal deployment. Information and Software Technology, 161, 19 pages. Lien externe
Silva-Pinto, N.-G. (2023). Engin d'explication d'anomalies sur le bus ARINC 429 basé sur les ontologies [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
Sobolevsky, A. (2023). Development of an Artificial Intelligence Model Able to Generate Designs for Software Interfaces [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
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Thakkar, M., Bolukbasi, T., Ganapathy, S., Vashishth, S., Anbil Parthipan, S. C., & Talukdar, P. (décembre 2023). Self-Influence Guided Data Reweighting for Language Model Pre-training [Communication écrite]. Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore. Lien externe
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Torres Aurora Dugo, A. (2023). Mitigation of Hardware Interferences in Safety-Critical Multicore Systems [Thèse de doctorat, Polytechnique Montréal]. Accès restreint
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Tranchon, A. (2023). Vers un suivi non-irradiant de la courbure rachidienne pour l'assistance à la chirurgie correctrice de la scoliose [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
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Vaibhav Mehta, S., Patil, D., Anbil Parthipan, S. C., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training in Lifelong Learning. Journal of Machine Learning Research, 24, 50-50. Lien externe
Verdet, A. (2023). Exploring Security Practices in Infrastructure as Code: An Empirical Study [Mémoire de maîtrise, Polytechnique Montréal]. Accès restreint
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Yin Ho, S. C., Majdinasab, V., Islam, M., Costa, D. E., Shihab, E., Khomh, F., Nadi, S., & Raza, M. (octobre 2023). An Empirical Study on Bugs Inside PyTorch: A Replication Study [Communication écrite]. 39th IEEE International Conference on Software Maintenance and Evolution (ICSME 2023), Bogota, Colombia. Lien externe
Yousefifeshki, F., Li, H., & Khomh, F. (2023). Studying the challenges of developing hardware description language programs. Information and Software Technology, 159, 16 pages. Lien externe
Zamanidoost, Y., Alami-Chentoufi, N., Ould-Bachir, T., & Martel, S. Efficient Region Proposal Extraction of Small Lung Nodules Using Enhanced VGG16 Network Model [Communication écrite]. 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS 2023), L'Aquila, Italy. Lien externe
Zayed, A., Parthasarathi, P., Mordido, G., Palangi, H., Shabanian, S., & Anbil Parthipan, S. C. (février 2023). Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness [Communication écrite]. 37th AAAI Conference on Artificial Intelligence (AAAI 2023) and 35th Conference on Innovative Applications of Artificial Intelligence (IAAI 2023) and 13th Symposium on Educational Advances in Artificial Intelligence (EAAI 2023), Washington, DC, USA. Lien externe
Zhang, B., Chen, X., Li, Z., Beltrame, G., Xu, C., Gao, F., & Cao, Y. (2023). CoNi-MPC: Cooperative Non-inertial Frame Based Model Predictive Control. IEEE Robotics and Automation Letters, 8(12), 8082-8089. Lien externe
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