:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Qiu, Mingming, Najm, Elie, Sharrock, Rémi, Traverson, Bruno
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	https://arxiv.org/abs/2402.15521
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
di: Lakatos, Robert, et al.
Pubblicazione: (2024)

A proximal policy optimization based intelligent home solar management
di: Creer, Kode, et al.
Pubblicazione: (2024)

Traceable LLM-based validation of statements in knowledge graphs
di: Adam, Daniel, et al.
Pubblicazione: (2024)

Empowering smart app development with SolidGPT: an edge-cloud hybrid AI agent framework
di: Hu, Liao, et al.
Pubblicazione: (2025)

MQuinE: a cure for "Z-paradox" in knowledge graph embedding models
di: Liu, Yang, et al.
Pubblicazione: (2024)

Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
di: Irwin, Christopher, et al.
Pubblicazione: (2024)

FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy
di: Chen, Jingyun, et al.
Pubblicazione: (2024)

mDAE : modified Denoising AutoEncoder for missing data imputation
di: Dupuy, Mariette, et al.
Pubblicazione: (2024)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems
di: Piga, Dario, et al.
Pubblicazione: (2024)

MobileNetV2: A lightweight classification model for home-based sleep apnea screening
di: Pan, Hui, et al.
Pubblicazione: (2024)

Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
di: Caufield, J. Harry, et al.
Pubblicazione: (2023)

Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
di: Kum, Seungwoo
Pubblicazione: (2026)

Overcoming Catastrophic Forgetting in Tabular Data Classification: A Pseudorehearsal-based approach
di: García-Santaclara, Pablo, et al.
Pubblicazione: (2024)

Easydiagnos: a framework for accurate feature selection for automatic diagnosis in smart healthcare
di: Maji, Prasenjit, et al.
Pubblicazione: (2024)

Super-Exponential Regret for UCT, AlphaGo and Variants
di: Orseau, Laurent, et al.
Pubblicazione: (2024)

TKAN: Temporal Kolmogorov-Arnold Networks
di: Genet, Remi, et al.
Pubblicazione: (2024)

Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
di: Ding, Yue, et al.
Pubblicazione: (2024)

Innate-Values-driven Reinforcement Learning based Cognitive Modeling
di: Yang, Qin
Pubblicazione: (2024)

Seismic full-waveform inversion based on a physics-driven generative adversarial network
di: Zhang, Xinyi, et al.
Pubblicazione: (2026)

Set-based Meta-Interpolation for Few-Task Meta-Learning
di: Lee, Seanie, et al.
Pubblicazione: (2022)

Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethics
di: Piskala, Deepak Babu, et al.
Pubblicazione: (2025)

Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models
di: Polo-Rodríguez, Aurora, et al.
Pubblicazione: (2025)

Self-Distilled Disentangled Learning for Counterfactual Prediction
di: Li, Xinshu, et al.
Pubblicazione: (2024)

A survey on knowledge-enhanced multimodal learning
di: Lymperaiou, Maria, et al.
Pubblicazione: (2022)

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
di: Ruddick, Julian, et al.
Pubblicazione: (2024)

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
di: Cortés, Adrien, et al.
Pubblicazione: (2025)

Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
di: Lin, Chaofan, et al.
Pubblicazione: (2024)

Performance Insights-based AI-driven Football Transfer Fee Prediction
di: Sulimov, Daniil
Pubblicazione: (2024)

Combining Physics-based and Data-driven Modeling for Building Energy Systems
di: Von Krannichfeldt, Leandro, et al.
Pubblicazione: (2024)

Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs
di: Liepelt, Milan, et al.
Pubblicazione: (2026)

Exploring the design space of deep-learning-based weather forecasting systems
di: Siddiqui, Shoaib Ahmed, et al.
Pubblicazione: (2024)

Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
di: Saad, Elie, et al.
Pubblicazione: (2025)

Mesh Based Simulations with Spatial and Temporal awareness
di: Garnier, Paul, et al.
Pubblicazione: (2026)

Adapformer: Adaptive Channel Management for Multivariate Time Series Forecasting
di: Luo, Yuchen, et al.
Pubblicazione: (2025)

Comparative performance of ensemble models in predicting dental provider types: insights from fee-for-service data
di: Al-Batah, Mohammad Subhi, et al.
Pubblicazione: (2025)

Landscape of AI safety concerns -- A methodology to support safety assurance for AI-based autonomous systems
di: Schnitzer, Ronald, et al.
Pubblicazione: (2024)

Can I trust my anomaly detection system? A case study based on explainable AI
di: Rashid, Muhammad, et al.
Pubblicazione: (2024)

Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification
di: Rosu, Radu-Andrei, et al.
Pubblicazione: (2024)

Applying sparse autoencoders to unlearn knowledge in language models
di: Farrell, Eoin, et al.
Pubblicazione: (2024)

QDeepGR4J: Quantile-based ensemble of deep learning and GR4J hybrid rainfall-runoff models for extreme flow prediction with uncertainty quantification
di: Kapoor, Arpit, et al.
Pubblicazione: (2025)