arXiv (All)
open access
Universal Multi-Modal Traceformer: Integrating Heterogeneous Context for Process Event Prediction
Event logs arise in a wide range of real-world processes, capturing not only event activities and timestamps but also multi-modal contextual information. Existing event-sequence models, including many temporal point process approaches, primarily model event activities and timestamps while overlookin
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Universal Multi-Modal Traceformer: Integrating Heterogeneous Context for Process Event Prediction#1028712
- Decision-Aware Suffix Prediction and Reasoning of Business Processes#973771
- Inferring High-Level Events from Timestamped Data: Complexity and Medical Applications#126559
- A Unified Particle Filter LSTM for Data-Driven Process Simulation#822379
- Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams#2779
Record · ID 1050989
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive