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Aalian, Y., Gamache, M., & Pesant, G. (2022). Short-term underground mine planning with uncertain activity durations using constraint programming. (Technical Report n° G-2022-44). External link
Abedi, M. (2022). Towards a Reference Architecture of AI-Based Job Interview Systems [Master's thesis, Polytechnique Montréal]. Available
Aber Aouni, A. (2022). Utilisation d'un espace latent pour une déduplication de bogues rapide [Master's thesis, Polytechnique Montréal]. Available
Abidi, M., Rahman, M. S., Openja, M., & Khomh, F. (2022). Multi-language design smells: a backstage perspective. Empirical Software Engineering, 27(5), 52 pages. External link
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Ahmad, H., Holoday, C., Bertram, I., Angstadt, K., Sharafi, Z., & Weimer, W. (2022, November). LOGI: an empirical model of heat-induced disk drive data loss and its implications for data recovery [Paper]. 18th International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2022), Singapore. External link
Alfalqi, K. (2022). Mapping Approach of Emergency Events and Locations Based on Social Networks and Machine Learning [Ph.D. thesis, Polytechnique Montréal]. Available
Alfalqi, K., & Bellaïche, M. (2022). An Emergency Event Detection Ensemble Model Based on Big Data. Big Data and Cognitive Computing, 6(2), 18 pages. External link
Alghamdi, R. (2022). Intrusion Detection System for Internet of Things with Deep Learning [Ph.D. thesis, Polytechnique Montréal]. Available
Alghamdi, R., & Bellaïche, M. (2022). A Cascaded Federated Deep Learning Based Framework For Detecting Wormhole Attacks in IoT Networks. Computers & Security, 125, 17 pages. External link
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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. External link
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. External link
Alsheghri, A., Ghadiri, F., Zhang, Y., Lessard, O., Keren, J., Cheriet, F., & Guibault, F. (2022, February). Semi-supervised segmentation of tooth from 3D scanned dental arches [Poster]. SPIE Medical Imaging 2022 : Image processing, San Diego, California, USA (6 pages). External link
Amine Elforaici, M. E., Montagnon, E., Azzi, F., Trudel, D., Nguyen, B., Turcotte, S., Tang, A., & Kadoury, S. (2022, March). Semi-Supervised Tumor Response Grade Classification from Histology Images of Colorectal Liver Metastases [Paper]. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022), Kolkata, India (5 pages). External link
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). Available
Arseneault, S., Vielfaure, D., & Beltrame, G. (2022, May). RASS: Risk-Aware Swarm Storage [Paper]. 21st International Conference on Autonomous Agents and Multiagent Systems. External link
Asmar, M. (2022). A Computer Vision-Based Automatic Transcription of Guitar Music from RGBD Videos [Master's thesis, Polytechnique Montréal]. Available
Aurora Dugo, A. T., Lefoul, J.-B., Ben-Salem, A., Harnois, S., Gohring de Magalhaes, F., & Nicolescu, G. (2022, June). Efficient Scheduling, Mapping and Memory Bandwidth Allocation for Safety-Critical Systems [Paper]. 20th IEEE International Interregional NEWCAS Conference (NEWCAS 2022), Quebec City, QC, Canada. External link
Aurora, V. (2022). Classification non supervisée de cyberattaques par inspection de paquets [Master's thesis, Polytechnique Montréal]. Available
Azambuja, R. , Fouad, H., Bouteiller, Y., Sol, C., & Beltrame, G. (2022, May). When being soft makes you tough: a collision-resilient quadcopter inspired by arthropods' exoskeletons [Paper]. IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, PA, USA. External link
Badawy, Y. (2022). Weakly Supervised Anomaly Detection Pipeline for Histology Images of Placental Villi [Master's thesis, Polytechnique Montréal]. Available
Badran, K., Côté, P.-O., Kolopanis, A., Bouchoucha, R., Collante, A., Costa, D. E., Shihab, E., & Khomh, F. (2022). Can ensembling pre-processing algorithms lead to better machine learning fairness? [Dataset]. External link
Bahra, N. (2022). Mobility Prediction in Self-Organizing Cellular Networks [Ph.D. thesis, Polytechnique Montréal]. Available
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). External link
Beckham, C., Laradji, I., Rodriguez, P., Vazquez, D., Nowrouzezahrai, D., & Pal, C. J. (2022, August). Overcoming challenges in leverage GANS for few-shots data augmentation [Poster]. 1st Conference on Lifelong Learning Agents (CoLLAs 2022), Montreal, QC, Canada. External link
Bédard, C., Lütkebohle, 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. External link
Belkhiri, A., Bushehri, A. S., & Dagenais, M. (2022, July). Virtual Networks Link-Layer Topologies Discovery through Host-based Tracing [Paper]. International Conference on Electrical, Computer and Energy Technologies (ICECET 2022), Pragues, Czech Republic (8 pages). External link
Beltrame, G. (2022, May). La robotique d'essaim à travers les échelles : entre science et génie [Presentation]. In 89e Congrès de l'Acfas, Québec, Québec. External link
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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. External link
Ben Braiek, H., Tfaily, A., Khomh, F., Reid, T., & Guida, C. (2022, October). SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design [Paper]. 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022), Rochester, MI, USA (13 pages). External link
Bertalan, V. G. F., & Ruiz, E. E. S. (2022). Using attention methods to predict judicial outcomes. Artificial Intelligence and Law, 32(1), 87-115. External link
Bofill, M., Coll, J., Garcia, M., Giráldez-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. External link
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. External link
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). External link
Bourque Bédard, C. (2022). Message Flow Analysis for Distributed Real-Time Control Systems [Master's thesis, Polytechnique Montréal]. Available
Bouteiller, Y. (2022). Managing the World Complexity: From Linear Regression to Deep Learning. In Foundations of Robotics: A Multidisciplinary Approach with Python and ROS (pp. 441-472). External link
Burlats, A. (2022). Optimisation de la recherche combinatoire d'un solveur mêlant programmation par contrainte et belief propagation [Master's thesis, Polytechnique Montréal]. Available
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). External link
Cappart, Q., Bergman, D., Rousseau, L.-M., Prémont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. External link
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). External link
Chaillard, D. (2022). Combinaison de la programmation par contraintes et de l'apprentissage par renforcement profond pour résoudre les tâches de planification IA classique [Master's thesis, Polytechnique Montréal]. Available
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. External link
Charpentier, A. (2022). Optimisation de la sélection de techniques déceptives pour la sécurité et la cyber-résilience [Master's thesis, Polytechnique Montréal]. Available
Charpentier, A., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (2022, August). Deep reinforcement learning-based defense strategy selection [Paper]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (11 pages). External link
Chembakottu, B. (2022). A large-scale empirical study of android sports apps in the google play store [Dataset]. External link
Cherni, G. (2022). Apprentissage profond multimodal pour l'estimation de pose d'humains alités [Master's thesis, Polytechnique Montréal]. Available
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. External link
Clouâtre, L., Parthasarathi, P., Zouaq, A., & Anbil Parthipan, S. C. (2022, May). Local Structure Matters Most: Perturbation Study in NLU [Paper]. 60th Annual Meeting of the Association-for-Computational-Linguistics (ACL 2022), Dublin, IRELAND. External link
Clouâtre-Latraverse, L., Parthasarathi, P., Zouaq, A., & Anbil Parthipan, S. C. (2022, November). Local Structure Matters Most in Most Languages [Paper]. 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). External link
Clouâtre-Latraverse, L., Parthasarathi, P., Zouaq, A., & Chandar, S. (2022). Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes. Findings of the Association for Computational Linguistics: EMNLP 2022, 5375-5396. External link
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. External link
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022, May). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Paper]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. External link
Courtade, E. (2022). Importance des variables et régressions statistiques imitant l'heuristique de branchement fort dans un problème de rotation d'équipages [Master's thesis, Polytechnique Montréal]. Available
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. External link
Crochelet, P., Neal, C., Boulahia Cuppens, N., & Cuppens, F. (2022, December). Attacker Attribution via Characteristics Inference Using Honeypot Data [Paper]. 16th International Conference on Network and System Security (NSS 2022), Denarau Island, Fiji. External link
Cros, S., Bouttier, H., Nguyen-Tân, 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). External link
Dah-Achinanon, U. (2022). A Runtime Environment for Micro and Macro UAV Swarms [Master's thesis, Polytechnique Montréal]. Available
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. External link
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 [Master's thesis, Polytechnique Montréal]. Available
Desmarais, M. C. (2022, June). Un survol de la modélisation de l'expertise et du défi de de l'évaluer dans un contexte ouvert [Paper]. Environnements Informatiques pour l'Apprentissage Humain et Intelligence Artificielle (EIAH et IA), Saint-Étienne, France. Unavailable
Desrosiers, C., Letenneur, M., Bernier, F., Cheriet, F., Braïlovski, V., Piché, N., & Guibault, F. (2022, February). Correlative laser confocal microscopy study and multimmodal 2D/3D registration as ground truth for x-ray inspection of internal defects in LPBF manufacturing [Paper]. 11th Conference on Industrial Computed Tomography (ICT 2022), Wels, Austria. External link
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. Available
Dimitrijevic, A., Noblet, V., & De Leener, B. (2022, July). Deep learning-based longitudinal intra-subject registration of pediatric brain MR images [Paper]. 10th International Workshop on Biomedical Image Registration (WBIR 2022), Munich, Germany (5 pages). External link
Dimitrijevic, A., Noblet, V., & De Leener, B. (2022, May). Medical image registration using deep learning techniques applied to pediatric magnetic resonance imaging (MRI) brain scans [Paper]. 31st ISMRT Joint annual meeting ISMRM-ESMRMB, London, England. External link
Ding, Z., Li, H., & Shang, W. (2022, March). LoGenText: Automatically generating logging texts using neural machine translation [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. External link
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. External link
Dominguez, A., Saunier, N., Alcaraz, C., Al Mallah, R., & Fernandez, J. M. (2022, January). Reinforcement-Learning-Based Attack on Adaptive Traffic Control Systems [Paper]. Transportation Research Board Annual Meeting, Washington, D.C. External link
Dourid, I. (2022). Caractérisation et modélisation d'un réacteur de pyrolyse micro-ondes en vue de son contrôle en temps-réel [Master's thesis, Polytechnique Montréal]. Available
Duplessis-Guindon, P. (2022). Méthodes d'apprentissage profond pour l'estimation de disparités d'une paire d'images multispectrale [Master's thesis, Polytechnique Montréal]. Available
Duplessis-Guindon, P., & Bilodeau, G.-A. (2022, May). 4D-MultispectralNet : Stéréoscopie Multispectrale pour l'estimation de la disparité utilisant des masques de segmentation de silhouettes humaines [Presentation]. In 89e Congrès de l'Acfas, Québec, Québec. External link
El Aoun, M. R. (2022). Empirical Studies of Quantum Programming Issues [Master's thesis, Polytechnique Montréal]. Available
El-Sayegh, B., Cacciari, L. P., Leduc-Primeau, F., Sawan, M., & Dumoulin, C. (2022). The state of pelvic floor muscle dynamometry: A scoping review [Discussion or Letter]. Neurourology and Urodynamics, 42(2), 478-499. External link
Elfatimi, E., Eryiğit, R., & Elfatimi, L. (2022). Beans Leaf Diseases Classification Using MobileNet Models. IEEE Access, 10, 9471-9482. External link
Elfatimi, L., & Boucheneb, H. (2022). Brain Tumor Detection using Cellular Automata based image Segmentation techniques. International Journal of Scientific Research in Computer Sciences and Engineering, 10(5), 27-36. External link
Erfan, F., Bellaïche, M., & Halabi, T. (2022, August). Game-theoretic Designs for Blockchain-based IoT: Taxonomy and Research Directions [Paper]. IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS 2022), Newark, CA, USA. External link
Faramarzi, M., Amini, M., Badrinaaraayanan, A., Verma, V., & Anbil Parthipan, S. C. (2022, February). PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks [Paper]. 36th AAAI Conference on Artificial Intelligence (AAAI 2022). External link
Favreau, C.-O. (2022). Learning to Rank with BERT for Argument Quality [Master's thesis, Polytechnique Montréal]. Available
Favreau, C.-O., Zouaq, A., & Bhatnagar, S. (2022, May). Learning to Rank with BERT for Argument Quality Evaluation [Paper]. 35th International Florida Artificial Intelligence Research Society Conference (FLAIRS-35 2022), Jensen Beach, FL, USA (6 pages). External link
Ferraz, A., Cappart, Q., & Vidal, T. (2022, June). Deep-Learning for Data-Driven Districting and Routing [Paper]. 11th Triennial Symposium on Transportation Analysis conference (TRISTAN XI), Mauritius Island. External link
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. External link
Fiorini, A., & Dagenais, M. (2022). Visualization of profiling and tracing in CPU-GPU programs. Concurrency and Computation: Practice and Experience, 34(23), 16 pages. External link
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. In Richard, P. R., Pilar Vélez, M., & Van Vaerenbergh, S. (eds.), Mathematics Education in the Age of Artificial Intelligence : How Artificial Intelligence can Serve Mathematical Human Learning (Vol. 17, pp. 45-76). External link
Fouad, H., & Beltrame, G. (2022). Energy autonomy for robot systems with constrained resources. IEEE Transactions on Robotics, 38(6), 3675-3693. External link
Fournier, Q. (2022). Machine Learning for Anomaly Detection in Kernel Traces [Ph.D. thesis, Polytechnique Montréal]. Available
Francoeur, J., Roberge, A., Lorre, P., Monet, F., Wright, C., Kadoury, S., & Kashyap, R. (2022, July). Real-time 3D shape sensing with a random Fiber Bragg grating triplet [Paper]. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES), Vancouver, British Columbia. External link
Galdrán, A., Anjos, A., Dolz, J., Chakor, H., Lombaert, H., & Ayed, I. B. (2022). State-of-the-art retinal vessel segmentation with minimalistic models. Scientific Reports, 12(1), 6174 (13 pages). Available
Gallaba, K., Lamothe, M., & McIntosh, S. (2022, May). Lessons from eight years of operational data from a continuous integration service: An exploratory case study of CircleCI [Paper]. IEEE/ACM 44th International Conference on Software Engineering (ICSE 2022), Pittsburgh, PA, USA. External link
Girgis, R., Golemo, F., Codevilla, F., Weiss, M., D'Souza, J. A., Kahou, S. E., Heide, F., & Pal, C. J. (2022, April). Latent variable sequential set transformers for joint multi-agent motion prediction [Paper]. 10th International Conference on Learning Representations (ICLR 2022). External link
Gomes Ferreira Bertalan, V., & Ruiz, E. E. S. (2022, October). Words Matter Using Machine Learning to Verify How Words Absolve or Condemn Defendants [Paper]. 1st International Workshop on Social Communication and Information Activity in Digital Humanities (SCIA 2022), Lviv, Ukraine. External link
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. External link
Hajlaoui, R., Bilodeau, G.-A., & Rockemann, J. (2022, August). MTGR: Improving Emotion and Sentiment Analysis with Gated Residual Networks [Paper]. 26th International Conference on Pattern Recognition (ICPR Workshop 2022), Montreal, Qc, Canada. External link
Halabi, T., Bellaïche, M., & Fung, B. C. M. (2022, November). Towards Adaptive Cybersecurity for Green IoT [Paper]. IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS 2022), Bali, Indonesia. External link
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. External link
Hassan, S., Li, H., & Hassan, A. E. (2022, March). On the importance of performing app analysis within peer groups [Paper]. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER 2022), Honolulu, HI, USA. External link
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. Available
Hellman, J., Chen, J., Uddin, M. S., Cheng, J., & Guo, J. L. C. (2022, May). Characterizing user behaviors in open-source software user forums: An empirical study [Paper]. 15th ACM/IEEE International Conference on Cooperative and Human Aspects of Software Engineering (CHASE 2022), Pittsburgh, PA, USA. External link
Hirigoyen, R. (2022). Génération automatique de requêtes SPARQL à partir de questions en langue naturelle [Master's thesis, Polytechnique Montréal]. Available
Hirigoyen, R., Zouaq, A., & Reyd, S. (2022, November). A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation [Paper]. 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). External link
Houngbadji, T. (2022, September). An Imputation Reinforcement Learning Agent For Power Transformers Load Study [Paper]. IEEE International Conference on Power Systems Technology (POWERCON 2022), Kuala Lumpur, Malaysia (6 pages). External link
Humeniuk, D., Antoniol, G., & Khomh, F. (2022, May). ***AmbieGen tool at the SBST 2022 Tool Competition [Paper]. 15th Search-Based Software Testing Workshop (SBST 2022). External link
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). External link
Hussain, A., Hosseinimanesh, G., Naeimabadi, S., Al kayed, N., & Alam, R. (2021, September). WearMask in COVID-19: Identification of Wearing Facemask Based on Using CNN Model and Pre-trained CNN Models [Paper]. SAI Intelligent Systems Conference (IntelliSys 2021), Berlin, Germany. External link
Ikama, A., Du, V., Belias, P., Muse, B. A., Khomh, F., & Hamdaqa, M. (2022, October). Revisiting the Impact of Anti-patterns on Fault-Proneness: A Differentiated Replication [Paper]. 22nd IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2022), Limassol, Cyprus. External link
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). External link
Italis, O., Pierre, S., & Quintero, A. (2022, September). Blockchain and Mobile Payment: Assessment on Privacy and Usability and a Scheme for Enhancement [Paper]. 4th International Conference on Blockchain Computing and Applications (BCCA 2022), San Antonio, TX, USA. External link
Italis, O., Pierre, S., & Quintero, A. (2022). Mobile Payment Platforms: Taxonomy, Architecture, Security, and Integration with Blockchain. Academia Letters. External link
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). External link
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. External link
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