Data Integration

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 130 papers with code (431 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• IAM: Enhancing RGB-D Instance Segmentation with New Benchmarks
  3 Jan 2025 3 repositories listed
  Image segmentation is a vital task for providing human assistance and enhancing autonomy in our daily lives.
• Multimodal Contextualized Semantic Parsing from Speech
  10 Jun 2024 2 repositories listed
  We introduce Semantic Parsing in Contextual Environments (SPICE), a task designed to enhance artificial agents' contextual awareness by integrating multimodal inputs with prior contexts.
• Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective
  22 May 2024 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  Traditional time series forecasting methods predominantly rely on historical data patterns, neglecting external interventions that significantly shape future dynamics.
• Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
  15 Dec 2022 2 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)
  Many, if not most, systems of interest in science are naturally described as nonlinear dynamical systems.
• COMO: A Pipeline for Multi-Omics Data Integration in Metabolic Modeling and Drug Discovery
  4 Nov 2020 2 repositories listed
  Identifying potential drug targets using metabolic modeling requires integrating multiple modeling methods and heterogenous biological datasets, which can be challenging without sophisticated tools.
• Bayesian Hybrid Matrix Factorisation for Data Integration
  17 Apr 2017 2 repositories listed
  We introduce a novel Bayesian hybrid matrix factorisation model (HMF) for data integration, based on combining multiple matrix factorisation methods, that can be used for in- and out-of-matrix prediction of missing…
• MIMIC-III, a freely accessible critical care database
  24 May 2016 2 repositories listed
  MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
• From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
  11 Jul 2025 1 repository listed
  Cancer research is increasingly driven by the integration of diverse data modalities, spanning from genomics and proteomics to imaging and clinical factors.
• scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
  10 Jun 2025 1 repository listed
  Our analysis reveals task-specific trade-offs: the specialized single-cell frameworks, scVI, CLAIRE, and the finetuned scGPT excel at uni-modal batch correction, while generic SSL methods, such as VICReg and SimCLR,…
• The Cell Ontology in the age of single-cell omics
  10 Jun 2025 1 repository listed
  Single-cell omics technologies have transformed our understanding of cellular diversity by enabling high-resolution profiling of individual cells.
• KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
  6 Jun 2025 1 repository listed
  Our results on KRAMABENCH show that, although the models are sufficiently capable of solving well-specified data science code generation tasks, when extensive data processing and domain knowledge are required to…
• Evaluating AI capabilities in detecting conspiracy theories on YouTube
  29 May 2025 1 repository listed
  Leveraging a labeled dataset of thousands of videos, we evaluate a variety of LLMs in a zero-shot setting and compare their performance to a fine-tuned RoBERTa baseline.
• Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting
  25 May 2025 1 repository listed
  In this work, we propose a data fusion approach for precipitation nowcasting by integrating data from meteorological and rain gauge stations in Rio de Janeiro metropolitan area with ERA5 reanalysis data and GFS…
• Generalized probabilistic canonical correlation analysis for multi-modal data integration with full or partial observations
  15 Apr 2025 1 repository listed
  GPCCA addresses key challenges in multi-modal data analysis by handling missing values within the model, enabling the integration of more than two modalities, and identifying informative features while accounting for…
• OmniEcon Nexus: Global Microeconomic Simulation Engine
  7 Apr 2025 1 repository listed
  Risk Analysis: Assesses market volatility and systemic risk using network analysis.
• Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
  26 Mar 2025 1 repository listed
  We evaluate the efficacy of our methodology in three settings: single-dataset learning, multi-dataset learning, and transfer learning.
• MODIS: Multi-Omics Data Integration for Small and Unpaired Datasets
  24 Mar 2025 1 repository listed
  A key challenge today lies in the ability to efficiently handle multi-omics data since such multimodal data may provide a more comprehensive overview of the underlying processes in a system.
• FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification
  18 Mar 2025 1 repository listed
  World models significantly enhance hierarchical understanding, improving data integration and learning efficiency.
• Intermediate triple table: A general architecture for virtual knowledge graphs
  24 Feb 2025 1 repository listed
  We employ star-shaped query processing and extend this technique to mapping candidate selection.
• Integrating Weather Station Data and Radar for Precipitation Nowcasting: SmaAt-fUsion and SmaAt-Krige-GNet
  22 Feb 2025 1 repository listed
  This highlights the potential of incorporating discrete weather station data to enhance the performance of deep learning-based weather nowcasting models.
• PulmoFusion: Advancing Pulmonary Health with Efficient Multi-Modal Fusion
  29 Jan 2025 1 repository listed
  We present a novel, non-invasive approach using multimodal predictive models that integrate RGB or thermal video data with patient metadata.
• RecKG: Knowledge Graph for Recommender Systems
  7 Jan 2025 1 repository listed
  Knowledge graphs have proven successful in integrating heterogeneous data across various domains.
• Column Property Annotation using Large Language Models
  1 Jan 2025 1 repository listed
  We further explore the scenario where training data for the CPA task is available and can be used for selecting demonstrations or fine-tuning the model.
• Semantic Web: Past, Present, and Future
  22 Dec 2024 1 repository listed
  Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations.
• Learn2Mix: Training Neural Networks Using Adaptive Data Integration
  21 Dec 2024 1 repository listed
  Accelerating model convergence in resource-constrained environments is essential for fast and efficient neural network training.
• GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
  20 Dec 2024 1 repository listed
  The integration of multi-omic data is pivotal for understanding complex diseases, but its high dimensionality and noise present significant challenges.
• Data Integration with Fusion Searchlight: Classifying Brain States from Resting-state fMRI
  13 Dec 2024 1 repository listed
  Resting-state fMRI captures spontaneous neural activity characterized by complex spatiotemporal dynamics.
• Towards Unified Molecule-Enhanced Pathology Image Representation Learning via Integrating Spatial Transcriptomics
  1 Dec 2024 1 repository listed
  Recent advancements in multimodal pre-training models have significantly advanced computational pathology.
• Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
  23 Nov 2024 1 repository listed
  Federated Learning (FL) is a decentralized machine learning approach that has gained attention for its potential to enable collaborative model training across clients while protecting data privacy, making it an…
• Benchmarking pre-trained text embedding models in aligning built asset information
  18 Nov 2024 1 repository listed
  Accurate mapping of the built asset information to established data classification systems and taxonomies is crucial for effective asset management, whether for compliance at project handover or ad-hoc data integration…

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.