Léonard Boussioux
According to our database1,
Léonard Boussioux
authored at least 16 papers
between 2019 and 2024.
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Bibliography
2024
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto.
CoRR, 2024
2023
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach.
CoRR, 2023
2022
npj Digit. Medicine, 2022
TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures.
CoRR, 2022
2021
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions.
CoRR, 2020
Asymptotic Cross-Entropy Weighting and Guided-Loss in Supervised Hierarchical Setting using Deep Attention Network.
Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification.
CoRR, 2019