:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Kaituhi matua:	Anonymous
Hōputu:	Recurso digital
Reo:
I whakaputaina:	Zenodo 2024
Urunga tuihono:	https://doi.org/10.5281/zenodo.10581012
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams
mā: Yelleti, Vivek
I whakaputaina: (2025)

Code and Data for Submission #462
mā: Anonymous
I whakaputaina: (2026)

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
mā: Gower-Winter, Brandon, me ētahi atu.
I whakaputaina: (2024)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
mā: Barboza, Eduardo V. L., me ētahi atu.
I whakaputaina: (2026)

Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields
mā: Schlama, Rémi, me ētahi atu.
I whakaputaina: (2026)

Autonomous Drift Learning in Data Streams: A Unified Perspective
mā: Yang, Xiaoyu, me ētahi atu.
I whakaputaina: (2026)

TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization
mā: Zhong, Yuan-Ting, me ētahi atu.
I whakaputaina: (2025)

Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams
mā: Komorniczak, Joanna
I whakaputaina: (2026)

Data
mā: Anonymous, Anonymous
I whakaputaina: (2026)

Code-Optimise: Self-Generated Preference Data for Correctness and Efficiency
mā: Gee, Leonidas, me ētahi atu.
I whakaputaina: (2024)

Predict, Don't React: Value-Based Safety Forecasting for LLM Streaming
mā: Kavumba, Pride, me ētahi atu.
I whakaputaina: (2026)

Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
mā: Li, Jin, me ētahi atu.
I whakaputaina: (2026)

Generalized Incremental Learning under Concept Drift across Evolving Data Streams
mā: Yu, En, me ētahi atu.
I whakaputaina: (2025)

Describing Nonstationary Data Streams in Frequency Domain
mā: Komorniczak, Joanna
I whakaputaina: (2025)

Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
mā: Wang, Bingbing, me ētahi atu.
I whakaputaina: (2025)

Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
mā: Garcia, Cristiano M., me ētahi atu.
I whakaputaina: (2024)

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
mā: Amarasinghe, Pivithuru Thejan, me ētahi atu.
I whakaputaina: (2024)

Data and Code for "The cat's out of the bag: examining US wildlife trade of felids from 2000 – 2020"
mā: Anonymous, Researcher
I whakaputaina: (2025)

React/Review
I whakaputaina: (2022)

Reacting to terrorism
I whakaputaina: (1996)

ISCI-Security-Culture-Data-: Initial Data Set
mā: Anonymous
I whakaputaina: (2026)

Detecting Flow Gaps in Data Streams
mā: Dong, Siyuan, me ētahi atu.
I whakaputaina: (2025)

React-tRace: A Semantics for Understanding React Hooks
mā: Lee, Jay, me ētahi atu.
I whakaputaina: (2025)

Optimising for the Unknown: Domain Alignment for Cephalometric Landmark Detection
mā: Wyatt, Julian, me ētahi atu.
I whakaputaina: (2024)

Temperature Optimisation in Data Centres
mā: Coroamă, Vlad C.
I whakaputaina: (2025)

Domain-Decomposed Lagrangian Data Assimilation for Drifting Sea-Ice Floe Dynamics
mā: Li, Danyang, me ētahi atu.
I whakaputaina: (2026)

Code for APE: A Data-Centric Benchmark for Efficient LLM Adaptation in Text Summarization (NeurIPS 2025 Submission)
mā: Anonymous Author(s)
I whakaputaina: (2025)

ChemGen: Code Generation for Multispecies Chemically Reacting Flow Simulations
mā: Johnson, Ryan F., me ētahi atu.
I whakaputaina: (2025)

ConFixer Data
mā: Anonymous
I whakaputaina: (2026)

Numerical Simulation of Reacting and Non-Reacting Liquid Jets in Supersonic Crossflow
mā: Ullman, Michael, me ētahi atu.
I whakaputaina: (2025)

Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
mā: Neves, Lara Sá, me ētahi atu.
I whakaputaina: (2026)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
mā: Carnier, Rodrigo Matos, me ētahi atu.
I whakaputaina: (2025)

An Efficient Outlier Detection Algorithm for Data Streaming
mā: Hu, Rui, me ētahi atu.
I whakaputaina: (2025)

PersTurnBench-Data
mā: Anonymous
I whakaputaina: (2026)

Data from: MS for review
mā: Anonymous
I whakaputaina: (2016)

React-ing to Grace Hopper 200: Five Open-Weights Coding Models, One React Native App, One GH200, One Weekend
mā: Potanin, Alex
I whakaputaina: (2026)

Methods for Generating Drift in Text Streams
mā: Garcia, Cristiano Mesquita, me ētahi atu.
I whakaputaina: (2024)

Replication package for A Unified Cross-Language Intermediate Representation for Infrastructure-as-Code Smell Detection
mā: Anonymous
I whakaputaina: (2026)

Replication package for A Unified Cross-Language Intermediate Representation for Infrastructure-as-Code Smell Detection
mā: Anonymous
I whakaputaina: (2026)

DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
mā: Han, Yizhou, me ētahi atu.
I whakaputaina: (2026)