:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rakaraddi, Appan, Siew-Kei, Lam, Pratama, Mahardhika, de Carvalho, Marcus
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.04825
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Cross-Domain Continual Learning
by: de Carvalho, Marcus, et al.
Published: (2024)

Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)

Few-Shot Class Incremental Learning via Robust Transformer Approach
by: Paeedeh, Naeem, et al.
Published: (2024)

Continual Knowledge Consolidation LORA for Domain Incremental Learning
by: Paeedeh, Naeem, et al.
Published: (2025)

Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
by: Furqon, M. T., et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Resources Allocation Optimization: A Survey
by: Hady, Mohamad A., et al.
Published: (2025)

Source-Free Cross-Domain Continual Learning
by: Furqon, Muhammad Tanzil, et al.
Published: (2025)

Cross-Domain Few-Shot Learning via Adaptive Transformer Networks
by: Paeedeh, Naeem, et al.
Published: (2024)

Cross-Domain Continual Learning via CLAMP
by: Weng, Weiwei, et al.
Published: (2024)

Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

Adaptability in Multi-Agent Reinforcement Learning: A Framework and Unified Review
by: Hu, Siyi, et al.
Published: (2025)

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model
by: Paeedeh, Naeem, et al.
Published: (2026)

Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
by: Paeedeh, Naeem, et al.
Published: (2025)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
by: Hou, Charlie, et al.
Published: (2023)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Evaluating Differentially Private Generation of Domain-Specific Text
by: Sun, Yidan, et al.
Published: (2025)

Generative Data Mining with Longtail-Guided Diffusion
by: Hayden, David S., et al.
Published: (2025)

Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
by: Potin, Lucas, et al.
Published: (2023)

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era
by: Li, Dawei, et al.
Published: (2025)

DS-Span: Single-Phase Discriminative Subgraph Mining for Efficient Graph Embeddings
by: Kaiser, Yeamin, et al.
Published: (2025)

Semantic Trajectory Data Mining with LLM-Informed POI Classification
by: Liu, Yifan, et al.
Published: (2024)

Federated Learning with Graph-Based Aggregation for Traffic Forecasting
by: Banik, Audri, et al.
Published: (2025)

Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining
by: Li, Pochun
Published: (2024)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)

Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
by: Liang, Yingbin, et al.
Published: (2025)

Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)

Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
by: Yan, Xu, et al.
Published: (2024)

Off-Policy Evaluation and Learning for the Future under Non-Stationarity
by: Shimizu, Tatsuhiro, et al.
Published: (2025)

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
by: Yang, Hanqing, et al.
Published: (2024)

Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models
by: Armstrong, Marcus, et al.
Published: (2026)

Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
by: Satish, Manthan Chelenahalli, et al.
Published: (2024)

Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey
by: Taha, Kamal
Published: (2024)

UniGeM: Unifying Data Mixing and Selection via Geometric Exploration and Mining
by: Wang, Changhao, et al.
Published: (2026)

Fast Mining and Dynamic Time-to-Event Prediction over Multi-sensor Data Streams
by: Nakamura, Kota, et al.
Published: (2026)

Mining Generalizable Activation Functions
by: Vitvitskyi, Alex, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Heterogeneous Satellite Cluster Resources Optimization
by: Hady, Mohamad A., et al.
Published: (2025)