:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Suleiman, Basem, Alibasa, Muhammad Johan, Purwanto, Rizka Widyarini, Jeffries, Lewis, Anaissi, Ali, Song, Jacky
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.06340
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Unit Test Case Generation: A Systematic Literature Review
by: Wang, Jason, et al.
Published: (2025)

New Money: A Systematic Review of Synthetic Data Generation for Finance
by: Meldrum, James, et al.
Published: (2025)

ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)

Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery
by: Handoyo, Alif Tri, et al.
Published: (2026)

Benchmarking Preprocessing and Integration Methods in Single-Cell Genomics
by: Anaissi, Ali, et al.
Published: (2026)

TriFlow: A Progressive Multi-Agent Framework for Intelligent Trip Planning
by: Chen, Yuxing, et al.
Published: (2025)

Long Context Modeling with Ranked Memory-Augmented Retrieval
by: Alselwi, Ghadir, et al.
Published: (2025)

CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
by: Singh, Abhishek, et al.
Published: (2024)

KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
by: Markondapatnaikuni, Hruday, et al.
Published: (2025)

Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
by: Feng, Hao, et al.
Published: (2024)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services
by: Anaissi, Ali, et al.
Published: (2024)

A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
by: Marrapese, Alexander, et al.
Published: (2024)

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
by: Zhong, Kezhen, et al.
Published: (2025)

Overcoming label shift with target-aware federated learning
by: Zec, Edvin Listo, et al.
Published: (2024)

Generalising realisability in statistical learning theory under epistemic uncertainty
by: Cuzzolin, Fabio
Published: (2024)

Toward efficient resource utilization at edge nodes in federated learning
by: Alawadi, Sadi, et al.
Published: (2023)

FedStale: leveraging stale client updates in federated learning
by: Rodio, Angelo, et al.
Published: (2024)

A weighted U statistic for association analysis considering genetic heterogeneity
by: Wei, Changshuai, et al.
Published: (2015)

Knowledge-aware contrastive heterogeneous molecular graph learning
by: Chen, Mukun, et al.
Published: (2025)

FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection
by: Nguyen, Van Tuan, et al.
Published: (2024)

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering
by: Anaissi, Ali, et al.
Published: (2025)

Mixture of Experts in a Mixture of RL settings
by: Willi, Timon, et al.
Published: (2024)

Holder Policy Optimisation
by: Chen, Yuxiang, et al.
Published: (2026)

Bayes' capacity as a measure for reconstruction attacks in federated learning
by: Biswas, Sayan, et al.
Published: (2024)

A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs
by: Chang, Yue, et al.
Published: (2026)

Gradient-free variational learning with conditional mixture networks
by: Heins, Conor, et al.
Published: (2024)

Improving statistical learning methods via features selection without replacement sampling and random projection
by: khan, Sulaiman, et al.
Published: (2025)

Optimisation Is Not What You Need
by: Ibias, Alfredo
Published: (2025)

Optimisation in Neurosymbolic Learning Systems
by: van Krieken, Emile
Published: (2024)

FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
by: Dave, Darpit, et al.
Published: (2024)

Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
by: Salmeron, Jose L., et al.
Published: (2024)

Predicting kernel regression learning curves from only raw data statistics
by: Karkada, Dhruva, et al.
Published: (2025)

A GAN-based data poisoning framework against anomaly detection in vertical federated learning
by: Chen, Xiaolin, et al.
Published: (2024)

Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)

Ensemble Distributionally Robust Bayesian Optimisation
by: Ramazyan, Tigran, et al.
Published: (2026)

In value-based deep reinforcement learning, a pruned network is a good network
by: Obando-Ceron, Johan, et al.
Published: (2024)

Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
by: Liu, Shengheng, et al.
Published: (2024)

Shadow defense against gradient inversion attack in federated learning
by: Jiang, Le, et al.
Published: (2025)

SPO: Sequential Monte Carlo Policy Optimisation
by: Macfarlane, Matthew V, et al.
Published: (2024)

Combining Automated Optimisation of Hyperparameters and Reward Shape
by: Dierkes, Julian, et al.
Published: (2024)