L'affiliation est "Génie logiciel et des technologies de l'information"

2026

Dolz, José et Ben Ayed, Ismail et Desrosiers, Christian, éds. 2026. « Less-supervised segmentation with CNNs: Scenarios, models and optimization ». Elsevier. 330 p.

AlKhazi, Bader, Mkaouer, Mohamed Wiem, Ouni, Ali et Alrubaye, Hussein. 2026. « Tutorial: Third-party software libraries: From integration to transition ». Communication lors de la conférence : Service-Oriented Computing – ICSOC 2024 Workshops: ASOCA, AI-PA, WESOACS, GAISS, LAIS, AI on Edge, RTSEMS, SQS, SOCAISA, SOC4AI and Satellite Events, Revised Selected Papers, Part II (Tunis, Tunisia, Dec. 03-06, 2024).

Aslam, Muhammad Haseeb, Martinez, Clara, Pedersoli, Marco, Lameiras Koerich, Alessandro, Etemad, Ali et Granger, Eric. 2026. « Learning from stochastic teacher representations using student-guided knowledge distillation ». In Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2025, Proceedings, Part VI (Porto, Portugal, Sept. 15-19, 2025) Coll. « Lecture Notes in Computer Science », vol. 16018. pp. 235-253. Springer.

Baklouti, Ghassen, Silva-Rodríguez, Julio, Dolz, Jose, Bahig, Houda et Ben Ayed, Ismail. 2026. « Regularized low-rank adaptation for few-shot organ segmentation ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15966. pp. 517-527. Springer.
Compte des citations dans Scopus : 1.

Beizaee, Farzad, Hajimiri, Sina, Ben Ayed, Ismail, Lodygensky, Gregory, Desrosiers, Christian et Dolz, Jose. 2026. « Reflect: Rectified flows for efficient brain anomaly correction transport ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part IV (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15963. pp. 456-466. Springer.

Beizaee, Farzad, Lodygensky, Gregory, Desrosiers, Christian et Dolz, José. 2026. « MAD-AD: Masked diffusion for unsupervised brain anomaly detection ». In Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Coll. « Lecture Notes in Computer Science », vol. 15830. pp. 139-153. Springer.

Bellal, Zouhir, Lahlou, Laaziz, Kara, Nadjia, Murphy, Timothy, Phat Nguyen, Tan, Ahmed, Arif et Perez-Jimenez, Mario. 2026. « Investigating the potential of Kepler toward power observability for sustainable cloud computing ». IEEE Transactions on Green Communications and Networking, vol. 10. pp. 2118-2135.

Bessghaier, Narjes, Ouni, Ali, Sayagh, Mohammed et Mkaouer, Mohamed Wiem. 2026. « A search-based file recommendation approach for Infrastructure-as-Code evolution ». Journal of Systems and Software, vol. 234.

Boateng, Gordon Owusu, Sami, Hani, Alagha, Ahmed, Elmekki, Hanae, Hammoud, Ahmad, Mizouni, Rabeb, Mourad, Azzam, Otrok, Hadi, Bentahar, Jamal, Muhaidat, Sami, Talhi, Chamseddine, Dziong, Zbignew et Guizani, Mohsen. 2026. « A survey on large language models for communication, network, and service management: Application insights, challenges, and future directions ». IEEE Communications Surveys and Tutorials, vol. 28. pp. 527-566.
Compte des citations dans Scopus : 20.

Bouktif, Salah, Khanday, Akib Mohi Ud Din et Ouni, Ali. 2026. « Revealing the impact of COVID-19 on mental health through machine learning ». JAMIA Open, vol. 9, nº 1.

Dargahi, Sedigheh, Bouix, Sylvain et Desrosiers, Christian. 2026. « Susceptibility distortion correction of diffusion MRI with a single phase-encoding direction ». In Computational Diffusion MRI: 16th International Workshop, CDMRI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 27, 2025) Coll. « Lecture Notes in Computer Science », vol. 16205. pp. 69-80. Springer.

Darif, Ikram, El Boussaidi, Ghizlane, Kpodjedo, Segla et Politowski, Cristiano. 2026. « Controlled natural language approaches for requirements specification: A systematic literature review ». ACM Computing Surveys, vol. 58, nº 7.
Compte des citations dans Scopus : 1.

Delangle, Mathieu, Moïse-Richard, Anne, Leclercq, Anne-Lise, Labbé, David, Bouchard, Stéphane, Andrews, Sheldon et Ménard, Lucie. 2026. « Speaking face-to-face with a virtual avatar to reduce anxiety in students who stutter: Tool development and pilot study results ». Journal of Fluency Disorders, vol. 87.

Desroches, Julien Dupuis, Ménard, Pierre André et Ratté, Sylvie. 2026. « Evaluating ASR for aphasia: a framework for clinically relevant transcription performance ». Aphasiology.
(Sous presse)

Djuikom Foka, Gwladys Ornella, Mishra, Sachit, Stanica, Razvan et Naboulsi, Diala. 2026. « Hotspot analysis and prediction for mobile networking applications ». Annals of Telecommunications.
(Sous presse)

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « A unified view of learning from both labeled and unlabeled data ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 17-37. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « Alternative learning scenarios ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 97-113. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « General introduction ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 1-13. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « Semi-supervised learning ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 39-71. Elsevier.

Dolz, José, Ben Ayed, Ismail et Desrosiers, Christian. 2026. « Weakly supervised segmentation ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 73-96. Elsevier.

El Fellah, Yahia, Baptiste Minani, Jean, Moha, Naouel, Gascon-Samson, Julien et Guéhéneuc, Yann-Gaël. 2026. « Analysis of microservices-based IoT systems: Deployment challenges, industry practices, and performance insights ». Internet of Things, vol. 36.

Gaillochet, Melanie, Noori, Mehrdad, Dastani, Sahar, Desrosiers, Christian et Lombaert, Herve. 2026. « Prompt learning with bounding box constraints for medical image segmentation ». IEEE Transactions on Biomedical Engineering, vol. 73, nº 1. pp. 359-368.

Ghlissi, Hakim, Boukhatem, Mohamed El Hadi, Abdellatif, Manel et Moha, Naouel. 2026. « A pattern-driven and LLM-assisted approach for decomposing monolithic ML-based systems into microservices ». In Service-Oriented Computing: 23rd International Conference, ICSOC 2025, Proceedings, Part I (Shenzhen, China, Dec. 01-04, 2025) Coll. « Lecture Notes in Computer Science », vol. 16320. pp. 221-229. Springer.

Guéhéneuc, Yann-Gaël, Petrillo, Fabio, Galasso-Carbonnel, Jessie, Serra, Henrique de Freitas, Politowski, Cristiano, Rousse, Nicolas, Ullmann, Gabriel, Voisard, Laurent et Costa, Diego Elias. 2026. « Report on ReAnimate'25 ». ACM SIGSOFT Software Engineering Notes, vol. 51, nº 1. 26–31.

Guzmán, Julián E., Mould, David et Paquette, Eric. 2026. « Adaptive multiresolution exemplar-based texture synthesis on animated fluids ». Computers and Graphics, vol. 134.

Kenfack, Patrik, Kahou, Samira Ebrahimi et Aïvodji, Ulrich. 2026. « Towards fair in-context learning with tabular foundation models ». Transactions on Machine Learning Research, vol. 2026.

Mendes, Eduardo, Vasconcellos, Marcelo, Petrillo, Fabio et Hallé, Sylvain. 2026. « From description to prescription: Unraveling log severity adjustments in open-source software ». Journal of Systems and Software, vol. 231.

Mlika, Eya, Hachem, Bahe, Al Habash, Yamen, Degueldre, Loic et Duong, Luc. 2026. « Predicting facial deformation during respiratory mask fitting with semi-supervised graph neural networks ». Medical engineering and physics, vol. 147, nº 2.

Moradkhani, Kaveh, Rushmore, R. Jarrett et Bouix, Sylvain. 2026. « SimCortex: Collision-free simultaneous cortical surfaces reconstruction ». In Shape in Medical Imaging: International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 23, 2025) Coll. « Lecture Notes in Computer Science », vol. 16171. pp. 347-359. Springer.

Morales-Álvarez, Pablo, Christodoulidis, Stergios, Vakalopoulou, Maria, Piantanida, Pablo et Dolz, Jose. 2026. « BayesAdapter: Enhanced uncertainty estimation in CLIP few-shot adaptation ». International Journal of Computer Vision, vol. 134, nº 2.

Olivares, Alejandro, Schuhler-Husson, Canelle, Zine, Yahia et Drouin, Simon. 2026. « Comparative evaluation of ultrasound-guided peripheral intravenous catheter insertion techniques in a virtual reality simulator ». Healthcare Technology Letters, vol. 13, nº 1.

Ouaziz, Mohammed Rida, Cheikhi, Laila, Idri, Ali et Abran, Alain. 2026. « Accessibility in e-government portals: a systematic mapping study ». International Journal of Electrical and Computer Engineering (IJECE), vol. 16, nº 1.

Ouédraogo, Fatimata, Demers, Marika, Menezes, Karla Vanessa Rodrigues, Labbé, David, Lebel, Karina, Brière, Simon, Levin, Mindy F., Tousignant, Michel et Kairy, Dahlia. 2026. « Tools and methods for assessing the usability and related aspects of usability of extended reality and telerehabilitation technologies in stroke rehabilitation: a scoping review ». Journal of Neuroengineering and Rehabilitation, vol. 23, nº 1.

Peng, Jizong, Pedersoli, Marco et Desrosiers, Christian. 2026. « Boosting semi-supervised image segmentation with global and local mutual information regularization ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 147-175. Elsevier.

Shakeri, Fereshteh, Baklouti, Ghassen, Silva-Rodríguez, Julio, Zanella, Maxime, Bahig, Houda, Dolz, Jose et Ben Ayed, Ismail. 2026. « Test-time adaptation of medical vision-language models ». In Foundation Models for General Medical AI: Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Proceedings (Daejeon, South Korea, Sept. 27, 2025) Coll. « Lecture Notes in Computer Science », vol. 16112. pp. 181-191. Springer.

Silva-Rodríguez, Julio, Ben Ayed, Ismail et Dolz, Jose. 2026. « Trustworthy few-shot transfer of medical VLMs through split conformal prediction ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15966. pp. 658-668. Springer.

Silva-Rodríguez, Julio, Dolz, José et Ben Ayed, Ismail. 2026. « A reality check of vision-language pre-training in radiology: Have we progressed using text? ». In Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Coll. « Lecture Notes in Computer Science », vol. 15830. pp. 294-309. Springer.

Silva-Rodríguez, Julio, Fillioux, Leo, Cournède, Paul-Henry, Vakalopoulou, Maria, Christodoulidis, Stergios, Ben Ayed, Ismail et Dolz, José. 2026. « Full conformal adaptation of medical vision-language models ». In Information Processing in Medical Imaging: 29th International Conference, IPMI 2025, Proceedings, Part II (Kos, Greece, May 25-30, 2025) Coll. « Lecture Notes in Computer Science », vol. 15830. pp. 278-293. Springer.

Silva-Rodríguez, Julio, Shakeri, Fereshteh, Bahig, Houda, Dolz, Jose et Ben Ayed, Ismail. 2026. « Few-shot, now for real: Medical VLMs adaptation without balanced sets or validation ». In Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference, Proceedings, Part VII (Daejeon, South Korea, Sept. 23-27, 2025) Coll. « Lecture Notes in Computer Science », vol. 15966. pp. 237-247. Springer.

Silva-Rodriguez, Julio-Jose, Dolz, Jose et Ben Ayed, Ismail. 2026. « Transductive few-shot adapters for medical image segmentation ». In Less-supervised segmentation with CNNs: Scenarios, models and optimization. pp. 295-309. Elsevier.

Violos, John, Voutsas, Fotios, Diou, Christos et Leivadeas, Aris. 2026. « Detecting application transitions and identifying application types for intent-based network assurance: A machine learning perspective ». Computer Networks, vol. 274.