Ismail Nejjar

23 papers A* 3Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM).
Reliab. Eng. Syst. Saf.
Olga Fink, Vinay Sharma, Ismail Nejjar, Leandro Von Krannichfeldt, Sergei Garmaev, Zepeng Zhang, Amaury Wei, Gaëtan Frusque, Florent Forest, Mengjie Zhao, Chi-Ching Hsu, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Raffael Theiler, Arthur Bizzi, Kevin Steiner
2026 J jnl
From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM).
Reliab. Eng. Syst. Saf.
Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao, Kevin Steiner, Yusuf Kesmen
2026 J jnl
Uncertainty-guided alignment for unsupervised domain adaptation in regression.
Reliab. Eng. Syst. Saf.
Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink
2025 A* conf
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation.
ICLR
Han Sun, Rui Gong, Ismail Nejjar, Olga Fink
2025 J jnl
DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation.
CoRR
Han Sun, Rui Gong, Ismail Nejjar, Olga Fink
2025 J jnl
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion.
IEEE Internet Things J.
Keivan Faghih Niresi, Ismail Nejjar, Olga Fink
2025 J jnl
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.
CoRR
Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao
2025 J jnl
Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework.
Trans. Mach. Learn. Res.
Ismail Nejjar, Hao Dong, Olga Fink
2025 J jnl
Semisupervised Health Index Monitoring With Feature Generation and Fusion.
IEEE Trans. Reliab.
Gaëtan Frusque, Ismail Nejjar, Majid Nabavi, Olga Fink
2024 J jnl
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction.
Reliab. Eng. Syst. Saf.
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, Cees Taal, Olga Fink
2024 J jnl
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion.
CoRR
Keivan Faghih Niresi, Ismail Nejjar, Olga Fink
2024 J jnl
IM-Context: In-Context Learning for Imbalanced Regression Tasks.
CoRR
Ismail Nejjar, Faez Ahmed, Olga Fink
2024 J jnl
IM-Context: In-Context Learning for Imbalanced Regression Tasks.
Trans. Mach. Learn. Res.
Ismail Nejjar, Faez Ahmed, Olga Fink
2024 J jnl
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework.
CoRR
Ismail Nejjar, Hao Dong, Olga Fink
2024 J jnl
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression.
CoRR
Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink
2023 A* conf
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices.
CVPR
Ismail Nejjar, Qin Wang, Olga Fink
2023 J jnl
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices.
CoRR
Ismail Nejjar, Qin Wang, Olga Fink
2023 J jnl
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction.
CoRR
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, Cees Taal, Olga Fink
2023 J jnl
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion.
CoRR
Gaëtan Frusque, Ismail Nejjar, Majid Nabavi, Olga Fink
2023 A* conf
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization.
NeurIPS
Hao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink
2023 J jnl
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization.
CoRR
Hao Dong, Ismail Nejjar, Han Sun, Eleni N. Chatzi, Olga Fink
2022 — conf
DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning.
DCASE
Ismail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink
2021 J jnl
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors.
CoRR
Mohammadhossein Bahari, Ismail Nejjar, Alexandre Alahi