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Abedi, M. (2022). Towards a Reference Architecture of AI-Based Job Interview Systems [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Aber Aouni, A. (2022). Utilisation d'un espace latent pour une déduplication de bogues rapide [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages. Lien externe
Abouaomar, A., Cherkaoui, S., Mlika, Z., & Kobbane, A. (2022). Service Function Chaining in MEC: A Mean-Field Game and Reinforcement Learning Approach. IEEE Systems Journal, 16(4), 5357-5368. Lien externe
Agha, A., Otsu, K., Morrell, B., Fan, D., Thakker, R., Santamaria-Navarro, A., Kim, S.-K., Bouman, A., Lei, X., Edlund, J., Ginting, M., Ebadi, K., Anderson, M., Pailevanian, T., Terry, E., Wolf, M., Tagliabue, A., Vaquero, T., Palieri, M., ... Burdick, J. (2022). NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics, 2(1), 1432-1506. Lien externe
Agrawal, V., Lin, Y.-H., & Cheng, J. (juin 2022). Understanding the Characteristics of Visual Contents in Open Source Issue Discussions: A Case Study of Jupyter Notebook [Communication écrite]. 26th ACM International Conference on Evaluation and Assessment in Software Engineering (EASE 2022), Gothenburg, Sweden. Lien externe
Ahmad, H., Holoday, C., Bertram, I., Angstadt, K., Sharafi, Z., & Weimer, W. (novembre 2022). LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery [Communication écrite]. 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022), Singapore. Lien externe
Alfalqi, K. (2022). Mapping Approach of Emergency Events and Locations Based on Social Networks and Machine Learning [Thèse de doctorat, Polytechnique Montréal]. Disponible
Alfalqi, K., & Bellaïche, M. (2022). An Emergency Event Detection Ensemble Model Based on Big Data. Big Data and Cognitive Computing, 6(2), 18 pages. Lien externe
Alghamdi, R. (2022). Intrusion Detection System for Internet of Things with Deep Learning [Thèse de doctorat, Polytechnique Montréal]. Disponible
Alghamdi, R., & Bellaïche, M. (2022). A Cascaded Federated Deep Learning Based Framework For Detecting Wormhole Attacks in IoT Networks. Computers & Security, 125, 17 pages. Lien externe
Alghamdi, R., & Bellaïche, M. (2022). Evaluation and Selection Models for Ensemble Intrusion Detection Systems in IoT. IoT, 3(2), 285-314. Lien externe
Alley, S., Jackson, E., Olivié, D., van der Heide, U. A., Ménard, C., & Kadoury, S. (2022). Effect of magnetic resonance imaging pre-processing on the performance of model-based prostate tumor probability mapping. Physics in Medicine & Biology, 67(24), 3796-3808. Lien externe
Alsalem, M. A., Alamoodi, A. H., Albahri, O. S., Dawood, K. A., Mohammed, R. T., Alnoor, A., Zaidan, A. A., Albahri, A. S., Zaidan, B. B., Jumaah, F. M., & Al-Obaidi, J. R. (2022). Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review. Artificial Intelligence Review, 55(6), 4979-5062. Lien externe
Alsheghri, A., Ghadiri, F., Zhang, Y., Lessard, O., Keren, J., Cheriet, F., & Guibault, F. (février 2022). Semi-supervised segmentation of tooth from 3D scanned dental arches [Affiche]. SPIE Medical Imaging 2022 : Image processing, San Diego, California, USA (6 pages). Lien externe
Amine Elforaici, M. E., Montagnon, E., Azzi, F., Trudel, D., Nguyen, B., Turcotte, S., Tang, A., & Kadoury, S. (mars 2022). Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases [Communication écrite]. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India (5 pages). Lien externe
Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., van Ginneken, B., Bilello, M., Bilic, P., Christ, P. F., Do, R. K. G., Gollub, M. J., Heckers, S. H., Huisman, H., Jarnagin, W. R., ... Cardoso, M. J. (2022). The medical segmentation decathlon. Nature Communications, 13(1), 4128 (13 pages). Disponible
Arseneault, S., Vielfaure, D., & Beltrame, G. (mai 2022). RASS: Risk-Aware Swarm Storage [Communication écrite]. 21st International Conference on Autonomous Agents and Multiagent Systems. Lien externe
Asmar, M. (2022). A Computer Vision-Based Automatic Transcription of Guitar Music from RGBD Videos [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Aurora Dugo, A. T., Lefoul, J.-B., Ben-Salem, A., Harnois, S., Göhring de Magalhães, F., & Nicolescu, G. (juin 2022). Efficient Scheduling, Mapping and Memory Bandwidth Allocation for Safety-Critical Systems [Communication écrite]. 20th IEEE International Interregional NEWCAS Conference (NEWCAS 2022), Quebec City, QC, Canada. Lien externe
Aurora, V. (2022). Classification non supervisée de cyberattaques par inspection de paquets [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Azambuja, R. , Fouad, H., Bouteiller, Y., Sol, C., & Beltrame, G. (mai 2022). When being soft makes you tough: a collision-resilient quadcopter inspired by arthropods' exoskeletons [Communication écrite]. IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, PA, USA. Lien externe
Badawy, Y. (2022). Weakly Supervised Anomaly Detection Pipeline for Histology Images of Placental Villi [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Bahra, N. (2022). Mobility Prediction in Self-Organizing Cellular Networks [Thèse de doctorat, Polytechnique Montréal]. Disponible
Beamonte, R., Ezzati-Jivan, N., & Dagenais, M. (2022). Execution trace-based model verification to analyze multicore and real-time systems. Concurrency and Computation-Practice & Experience, 34(17), e6974 (26 pages). Lien externe
Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (août 2022). Overcoming challenges in leverage GANS for few-shots data augmentation [Affiche]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada. Lien externe
Bedard, C., Lutkebohle, I., & Dagenais, M. (2022). ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2. IEEE Robotics and Automation Letters, 7(3), 6511-6518. Lien externe
Belkhiri, A., Bushehri, A. S., & Dagenais, M. (juillet 2022). Virtual Networks Link-Layer Topologies Discovery through Host-based Tracing [Communication écrite]. International Conference on Electrical, Computer and Energy Technologies (ICECET 2022), Pragues, Czech Republic (8 pages). Lien externe
Ben Braiek, H. (2022). Debugging and Testing Deep Learning Software Systems [Thèse de doctorat, Polytechnique Montréal]. Disponible
Ben Braiek, H., Reid, T., & Khomh, F. (2022). Physics-guided adversarial machine learning for aircraft systems simulation. IEEE Transactions on Reliability, 72(3), 1161-1175. Lien externe
Ben Braiek, H., Tfaily, A., Khomh, F., Reid, T., & Guida, C. (octobre 2022). SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design [Communication écrite]. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Rochester, MI, USA (13 pages). Lien externe
Bertalan, V. G. F., & Ruiz, E. E. S. (octobre 2022). Words Matter Using Machine Learning to Verify How Words Absolve or Condemn Defendants [Communication écrite]. 1st International Workshop on Social Communication and Information Activity in Digital Humanities (SCIA 2022), Lviv, Ukraine. Lien externe
Bofill, M., Coll, J., Garcia, M., Giraldez-Cru, J., Pesant, G., Suy, J., & Villaret, M. (2022). Constraint solving approaches to the business-to-business meeting scheduling problem. Journal of Artificial Intelligence Research, 74, 263-301. Lien externe
Bouchard, I., Rancourt, M.-E., Aloise, D., & Kalaitzis, F. (2022). On transfer learning for building damage assessment from satellite imagery in emergency contexts. Remote Sensing, 14(11), 29 pages. Lien externe
Boucheneb, H., Barkaoui, K., Xing, Q., Wang, K.Z., Liu, G.Y., & Li, Z.W. (2022). Time based deadlock prevention for Petri nets. Automatica, 137, 110119 (11 pages). Lien externe
Bourque Bédard, C. (2022). Message Flow Analysis for Distributed Real-Time Control Systems [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Bouteiller, Y. (2022). Managing the World Complexity: From Linear Regression to Deep Learning. Dans Foundations of Robotics: A Multidisciplinary Approach with Python and ROS (p. 441-472). Lien externe
Burlats, A. (2022). Optimisation de la recherche combinatoire d'un solveur mêlant programmation par contrainte et belief propagation [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Businge, J., Openja, M., Nadi, S., & Berger, T. (2022). Reuse and maintenance practices among divergent forks in three software ecosystems. Empirical Software Engineering, 27(2), 54 (47 pages). Lien externe
Cappart, Q., Bergman, D., Rousseau, L.-M., Premont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. Lien externe
Carlino, F., Diana, A., Ventriglia, A., Piccolo, A., Mocerino, C., Riccardi, F., Bilancia, D., Giotta, F., Antoniol, G., Famiglietti, V., Feliciano, S., Cangiano, R., Lobianco, L., Pellegrino, B., De Vita, F., Ciardiello, F., & Orditura, M. (2022). HER2-Low Status Does Not Affect Survival Outcomes of Patients with Metastatic Breast Cancer (MBC) Undergoing First-Line Treatment with Endocrine Therapy plus Palbociclib: Results of a Multicenter, Retrospective Cohort Study. Cancers, 14(20), 4981 (11 pages). Lien externe
Chaillard, D. (2022). Combinaison de la programmation par contraintes et de l'apprentissage par renforcement profond pour résoudre les tâches de planification IA classique [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Chalangar, H., Ould-Bachir, T., Sheshyekani, K., & Mahseredjian, J. (2022). Methods for the Accurate Real-Time Simulation of High Frequency Power Converters. IEEE Transactions on Industrial Electronics, 69(9), 9613-9623. Lien externe
Charpentier, A. (2022). Optimisation de la sélection de techniques déceptives pour la sécurité et la cyber-résilience [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Charpentier, A., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (août 2022). Deep reinforcement learning-based defense strategy selection [Communication écrite]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (11 pages). Lien externe
Cherni, G. (2022). Apprentissage profond multimodal pour l'estimation de pose d'humains alités [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Chowdhury, M. A. R., Abdalkareem, R., Shihab, E., & Adams, B. (2022). On the Untriviality of Trivial Packages: An Empirical Study of npm JavaScript Packages. IEEE Transactions on Software Engineering, 48(8), 2695-2708. Lien externe
Clouatre, L., Parthasarathi, P., Zouaq, A., & Anbil Parthipan, S. C. (mai 2022). Local Structure Matters Most: Perturbation Study in NLU [Communication écrite]. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL 2022), Dublin, IRELAND. Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582. Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (mai 2022). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Communication écrite]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. Lien externe
Courtade, E. (2022). Importance des variables et régressions statistiques imitant l'heuristique de branchement fort dans un problème de rotation d'équipages [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Coviello, C., Romano, S., Scanniello, G., & Antoniol, G. (2022). GASSER: A Multi-Objective Evolutionary Approach for Test Suite Reduction. International Journal of Software Engineering and Knowledge Engineering, 32(2), 193-225. Lien externe
Crochelet, P., Neal, C., Boulahia Cuppens, N., & Cuppens, F. (décembre 2022). Attacker Attribution via Characteristics Inference Using Honeypot Data [Communication écrite]. 16th International Conference on Network and System Security (NSS 2022), Denarau Island, Fiji. Lien externe
Cros, S., Bouttier, H., Nguyen-Tan, P. F., Vorontsov, E., & Kadoury, S. (2022). Combining dense elements with attention mechanisms for 3D radiotherapy dose prediction on head and neck cancers. Journal of Applied Clinical Medical Physics, 23(8), e13655 (15 pages). Lien externe
Dah-Achinanon, U. (2022). A Runtime Environment for Micro and Macro UAV Swarms [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Dambri, O. A., & Cherkaoui, S. (2022). Modeling self-assembly of polymer-based wired nano-communication channel. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 8(2), 107-118. Lien externe
Desclaux, O. (2022). Protocole pour la création d'une base de données multimodale d'estimation de pose 3D d'enfants en salle de soins intensifs [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Desmarais, M. C. (juin 2022). Un survol de la modélisation de l'expertise et du défi de de l'évaluer dans un contexte ouvert [Communication écrite]. Environnements Informatiques pour l'Apprentissage Humain et Intelligence Artificielle (EIAH et IA), Saint-Étienne, France. Non disponible
Desrosiers, C., Letenneur, M., Bernier, F., Cheriet, F., Brailovski, V., Piché, N., & Guibault, F. (février 2022). Correlative laser confocal microscopy study and multimmodal 2D/3D registration as ground truth for x-ray inspection of internal defects in LPBF manufacturing [Communication écrite]. 11th Conference on Industrial Computed Tomography (ICT 2022), Wels, Austria. Lien externe
Diana, A., Carlino, F., Buono, G., Antoniol, G., Famiglietti, V., De Angelis, C., Carrano, S., Piccolo, A., De Vita, F., Ciardiello, F., Daniele, B., Arpino, G., & Orditura, M. (2022). Prognostic Relevance of Progesterone Receptor Levels in Early Luminal-Like HER2 Negative Breast Cancer Subtypes: A Retrospective Analysis. Frontiers in Oncology, 12. Lien externe
Dimitrijevic, A., Noblet, V., & De Leener, B. (juillet 2022). Deep learning-based longitudinal intra-subject registration of pediatric brain MR images [Communication écrite]. 10th International Workshop on Biomedical Image Registration (WBIR 2022), Munich, Germany (5 pages). Lien externe
Dimitrijevic, A., Noblet, V., & De Leener, B. (mai 2022). Medical image registration using deep learning techniques applied to pediatric magnetic resonance imaging (MRI) brain scans [Communication écrite]. 31st ISMRT Joint annual meeting ISMRM-ESMRMB, London, England. Lien externe
Ding, Z., Li, H., & Shang, W. (mars 2022). LoGenText: Automatically generating logging texts using neural machine translation [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. Lien externe
Ding, Z., Li, H., Shang, W., & Chen, T.-H. P. (2022). Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks. Empirical Software Engineering, 27(3), 38 pages. Lien externe
Dominguez, A., Saunier, N., Alcaraz, C., Al Mallah, R., & Fernandez, J. M. (janvier 2022). Reinforcement-Learning-Based Attack on Adaptive Traffic Control Systems [Communication écrite]. Transportation Research Board Annual Meeting, Washington, D.C. Lien externe
Dourid, I. (2022). Caractérisation et modélisation d'un réacteur de pyrolyse micro-ondes en vue de son contrôle en temps-réel [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Duplessis-Guindon, P. (2022). Méthodes d'apprentissage profond pour l'estimation de disparités d'une paire d'images multispectrale [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
El Aoun, M. R. (2022). Empirical Studies of Quantum Programming Issues [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Elfatimi, E., Eryigit, R., & Elfatimi, L. (2022). Beans Leaf Diseases Classification Using MobileNet Models. IEEE Access, 10, 9471-9482. Lien externe
Erfan, F., Bellaïche, M., & Halabi, T. (août 2022). Game-theoretic Designs for Blockchain-based IoT: Taxonomy and Research Directions [Communication écrite]. IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS 2022), Newark, CA, USA. Lien externe
Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (février 2022). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Communication écrite]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). Lien externe
Favreau, C.-O. (2022). Learning to Rank with BERT for Argument Quality [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Favreau, C.-O., Zouaq, A., & Bhatnagar, S. (mai 2022). Learning to Rank with BERT for Argument Quality Evaluation [Communication écrite]. 35th International Florida Artificial Intelligence Research Society Conference (FLAIRS-35 2022), Jensen Beach, FL, USA (6 pages). Lien externe
Ferreira, I., Adams, B., & Cheng, J. (mai 2022). How heated is it? Understanding GitHub locked issues [Communication écrite]. IEEE/ACM 19th International Conference on Mining Software Repositories (MSR 2022), Pittsburgh, PA, USA. Lien externe
Ferreira, I., Yang, N., Serebrenik, A., & Adams, B. (2022). Why do projects join the Apache Software Foundation? [Ensemble de données]. Lien externe
Filali, A., Mlika, Z., Cherkaoui, S., & Kobbane, A. (2022). Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services. IEEE Transactions on Network Science and Engineering, 9(4), 2174-2187. Lien externe
Fiorini, A., & Dagenais, M. (2022). Visualization of profiling and tracing in CPU-GPU programs. Concurrency and Computation: Practice and Experience, 34(23), 16 pages. Lien externe
Font, L., Gagnon, M., Leduc, N., & Richard, P. (2022). Intelligence in QED-Tutrix: Balancing the Interactions Between the Natural Intelligence of the User and the Artificial Intelligence of the Tutor Software. Dans Richard, P. R., Pilar Vélez, M., & Van Vaerenbergh, S. (édit.), Mathematics Education in the Age of Artificial Intelligence : How Artificial Intelligence can Serve Mathematical Human Learning (Vol. 17, p. 45-76). Lien externe
Fouad, H., & Beltrame, G. (2022). Energy autonomy for robot systems with constrained resources. IEEE Transactions on Robotics, 38(6), 3675-3693. Lien externe
Fournier, Q. (2022). Machine Learning for Anomaly Detection in Kernel Traces [Thèse de doctorat, Polytechnique Montréal]. Disponible
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (juillet 2022). Real-time 3D shape sensing with a random Fiber Bragg grating triplet [Communication écrite]. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Vancouver, British Columbia. Lien externe
Gallaba, K., Lamothe, M., & McIntosh, S. (mai 2022). Lessons from eight years of operational data from a continuous integration service: An exploratory case study of CircleCI [Communication écrite]. IEEE/ACM 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA. Lien externe
Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (avril 2022). Latent variable sequential set transformers for joint multi-agent motion prediction [Communication écrite]. 10th International Conference on Learning Representations (ICLR 2022). Lien externe
Grajales, D., Kadoury, S., Shams, R., Barkati, M., Delouya, G., Béliveau-Nadeau, D., Nicolas, B., Le, W. T., Benhacene-Boudam, M.-K., Juneau, D., DaSilva, J. N., Carrier, J.-F., Hautvast, G., & Ménard, C. (2022). Performance of an integrated multimodality image guidance and dose-planning system supporting tumor-targeted HDR brachytherapy for prostate cancer. Radiotherapy and Oncology, 166, 154-161. Lien externe
Hajlaoui, R., Bilodeau, G.-A., & Rockemann, J. (août 2022). MTGR: Improving Emotion and Sentiment Analysis with Gated Residual Networks [Communication écrite]. 26th International Conference on Pattern Recognition (ICPR Workshop 2022), Montreal, Qc, Canada. Lien externe
Halabi, T., Bellaïche, M., & Fung, B. C. M. (novembre 2022). Towards Adaptive Cybersecurity for Green IoT [Communication écrite]. IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS 2022), Bali, Indonesia. Lien externe
Hamdaqa, M., Met, L. A. P., & Qasse, I. (2022). iContractML 2.0: A domain-specific language for modeling and deploying smart contracts onto multiple blockchain platforms. Information and Software Technology, 144, 14 pages. Lien externe
Hassan, S., Li, H., & Hassan, A. E. (mars 2022). On the importance of performing app analysis within peer groups [Communication écrite]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. Lien externe
Hébert-Lavoie, M., Doyon-Poulin, P., & Ozell, B. (2022). Identification of visual functional thresholds for immersion assessment in virtual reality. PRESENCE: Virtual and Augmented Reality, 29, 1-22. Disponible
Hellman, J., Chen, J., Uddin, M. S., Cheng, J., & Guo, J. L. C. (mai 2022). Characterizing user behaviors in open-source software user forums: An empirical study [Communication écrite]. 15th ACM/IEEE International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2022), Pittsburgh, PA, USA. Lien externe
Hirigoyen, R. (2022). Génération automatique de requêtes SPARQL à partir de questions en langue naturelle [Mémoire de maîtrise, Polytechnique Montréal]. Disponible
Hirigoyen, R., Zouaq, A., & Reyd, S. (novembre 2022). A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation [Communication écrite]. 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, (AACL-IJCNLP 2022) (11 pages). Non disponible
Houngbadji, T. (septembre 2022). An Imputation Reinforcement Learning Agent For Power Transformers Load Study [Communication écrite]. IEEE International Conference on Power Systems Technology (POWERCON 2022), Kuala Lumpur, Malaysia (6 pages). Lien externe
Humeniuk, D., Antoniol, G., & Khomh, F. (mai 2022). ***AmbieGen tool at the SBST 2022 Tool Competition [Communication écrite]. 15th Search-Based Software Testing Workshop (SBST 2022). Lien externe
Humeniuk, D., Khomh, F., & Antoniol, G. (2022). A search-based framework for automatic generation of testing environments for cyber-physical systems. Information and Software Technology, 149, 106936 (17 pages). Lien externe
Hussain, A., Hosseinimanesh, G., Naeimabadi, S., Al kayed, N., & Alam, R. (septembre 2021). WearMask in COVID-19: Identification of Wearing Facemask Based on Using CNN Model and Pre-trained CNN Models [Communication écrite]. SAI Intelligent Systems Conference (IntelliSys 2021), Berlin, Germany. Lien externe
Ikama, A., Du, V., Belias, P., Muse, B. A., Khomh, F., & Hamdaqa, M. (octobre 2022). Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication [Communication écrite]. 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022), Limassol, Cyprus. Lien externe
Iovino, F., Diana, A., Carlino, F., Ferraraccio, F., Antoniol, G., Fisone, F., Perrone, A., Zito Marino, F., Panarese, I., Tathode, M. S., Caraglia, M., Gatta, G., Ruggiero, R., Parisi, S., De Vita, F., Ciardiello, F., Docimo, L., & Orditura, M. (2022). Expression of c-MET in Estrogen Receptor Positive and HER2 Negative Resected Breast Cancer Correlated with a Poor Prognosis. Journal of Clinical Medicine, 11(23), 6987 (15 pages). Lien externe
Italis, O., Pierre, S., & Quintero, A. (septembre 2022). Blockchain and Mobile Payment: Assessment on Privacy and Usability and a Scheme for Enhancement [Communication écrite]. 4th International Conference on Blockchain Computing and Applications (BCCA 2022), San Antonio, TX, USA. Lien externe
Italis, O., Pierre, S., & Quintero, A. (2022). Mobile Payment Platforms: Taxonomy, Architecture, Security, and Integration with Blockchain. Academia Letters. Lien externe
Jebnoun, H., Rahman, M. S., Khomh, F., & Muse, B. A. (2022). Clones in deep learning code: what, where, and why? Empirical Software Engineering, 27(4). Lien externe
Joshi, C. K., Cappart, Q., Rousseau, L.-M., & Laurent, T. (2022). Learning the travelling salesperson problem requires rethinking generalization. Constraints, 27(1-2), 70-98. Lien externe
Kabamba, H. (2022). Tracing nodejs applications in a low level context - progress report meeting. (Rapport technique). Lien externe
Katsikas, S. K., Lambrinoudakis, C., Boulahia Cuppens, N., Mylopoulos, J., Kalloniatis, C., Meng, W., Furnell, S., Pallas, F., Pohle, J., Sasse, M. A., Abie, H., Ranise, S., Verderame, L., Cambiaso, E., Vidal, J. M., & Sotelo Monge, M. A. (octobre 2022). Computer security [Communication écrite]. International Workshops on Computer Security (CyberICPS, SECPRE, ADIoT, SPOSE, CPS4CIP and CDT&SECOMANE), Darmstadt, Germany. Lien externe
Kazemi, F., Lamothe, M., & McIntosh, S. (octobre 2022). Exploring the Notion of Risk in Code Reviewer Recommendation [Communication écrite]. IEEE International Conference on Software Maintenance and Evolution (ICSME 2022), Limassol, Cyprus. Lien externe
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