:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Said, Aymen Ben, Mouhoub, Malek
Format:	Preprint
Publié:	2024
Sujets:	Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2409.07547
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

TruKAN: Towards More Efficient Kolmogorov-Arnold Networks Using Truncated Power Functions
par: Bayeh, Ali, et autres
Publié: (2026)

Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
par: Houten, Kim van den, et autres
Publié: (2024)

An Aligned Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size
par: Huertas, Jorge A., et autres
Publié: (2025)

Genetic-based Constraint Programming for Resource Constrained Job Scheduling
par: Nguyen, Su, et autres
Publié: (2024)

Leveraging Constraint Programming in a Deep Learning Approach for Dynamically Solving the Flexible Job-Shop Scheduling Problem
par: Echeverria, Imanol, et autres
Publié: (2024)

Investigating Constraint Programming and Hybrid Methods for Real World Industrial Test Laboratory Scheduling
par: Geibinger, Tobias, et autres
Publié: (2019)

Answer-Set Programming for Lexicographical Makespan Optimisation in Parallel Machine Scheduling
par: Eiter, Thomas, et autres
Publié: (2022)

Detecting Continuous Integration Skip : A Reinforcement Learning-based Approach
par: Mhalla, Hajer, et autres
Publié: (2024)

On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
par: Farid, Ali Moltajaei, et autres
Publié: (2024)

A Constraint Programming Approach to Fair High School Course Scheduling
par: Kiyohara, Mitsuka, et autres
Publié: (2024)

Enhancing Clustering: An Explainable Approach via Filtered Patterns
par: Hassine, Motaz Ben, et autres
Publié: (2026)

Predictive Analytics for Dementia: Machine Learning on Healthcare Data
par: Opee, Shafiul Ajam, et autres
Publié: (2026)

Constraint Programming Models For Serial Batch Scheduling With Minimum Batch Size
par: Huertas, Jorge A., et autres
Publié: (2025)

Intelligently Weighting Multiple Reference Models for Direct Preference Optimization of LLMs
par: Wu, Skyler, et autres
Publié: (2025)

Programming over Thinking: Efficient and Robust Multi-Constraint Planning
par: Deik, Derrick Goh Xin, et autres
Publié: (2026)

Collaborative Agents for Automated Program Repair in Ruby
par: Akbarpour, Nikta, et autres
Publié: (2025)

Efficient Quantum-Safe Homomorphic Encryption for Quantum Computer Programs
par: Goertzel, Ben
Publié: (2025)

Learning Flexible Job Shop Scheduling under Limited Buffers and Material Kitting Constraints
par: Zhang, Shishun, et autres
Publié: (2026)

Enhancing LIME using Neural Decision Trees
par: Bouyahia, Mohamed Aymen, et autres
Publié: (2026)

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
par: Patel, Vipul, et autres
Publié: (2025)

Uncertainty Quantification for Machine Learning in Healthcare: A Survey
par: López, L. Julián Lechuga, et autres
Publié: (2025)

A Production Scheduling Framework for Reinforcement Learning Under Real-World Constraints
par: Hoss, Jonathan, et autres
Publié: (2025)

R-ConstraintBench: Evaluating LLMs on NP-Complete Scheduling
par: Jain, Raj, et autres
Publié: (2025)

Solving Parallel Machine Scheduling With Precedences and Cumulative Resource Constraints With Calendars
par: Einspieler, Christoph, et autres
Publié: (2025)

Fair Machine Learning in Healthcare: A Review
par: Feng, Qizhang, et autres
Publié: (2022)

Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
par: Chen, Xinan, et autres
Publié: (2025)

M3H: Multimodal Multitask Machine Learning for Healthcare
par: Bertsimas, Dimitris, et autres
Publié: (2024)

Bottleneck Identification in Resource-Constrained Project Scheduling via Constraint Relaxation
par: Nedbálek, Lukáš, et autres
Publié: (2025)

Learning Model Agnostic Explanations via Constraint Programming
par: Koriche, Frederic, et autres
Publié: (2024)

Investigation of the Generalisation Ability of Genetic Programming-evolved Scheduling Rules in Dynamic Flexible Job Shop Scheduling
par: Zhu, Luyao, et autres
Publié: (2026)

The Practimum-Optimum Algorithm for Manufacturing Scheduling: A Paradigm Shift Leading to Breakthroughs in Scale and Performance
par: BenBassat, Moshe
Publié: (2024)

Hyperparameter Optimization of Constraint Programming Solvers
par: Haddad, Hedieh, et autres
Publié: (2026)

Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML
par: Salari, Mohammad Amir, et autres
Publié: (2025)

CoBOS: Constraint-Based Online Scheduler for Human-Robot Collaboration
par: Ionova, Marina, et autres
Publié: (2024)

Addressing Terminal Constraints in Data-Driven Demand Response Scheduling
par: Bloor, Maximilian, et autres
Publié: (2026)

Modelling Program Spaces in Program Synthesis with Constraints
par: Hinnerichs, Tilman, et autres
Publié: (2025)

Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
par: Bessa, Swann, et autres
Publié: (2024)

ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
par: Shi, Weichun, et autres
Publié: (2025)

FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare
par: Wang, Penghao, et autres
Publié: (2025)

Expert-Guided POMDP Learning for Data-Efficient Modeling in Healthcare
par: Locatelli, Marco, et autres
Publié: (2025)