DBLP
metadata only
CC BY 4.0
Readers' affect: predicting and understanding readers' emotions with deep learning.
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
- Expresso-AI: Explainable Video-Based Deep Learning Models for Depression Diagnosis#307041
- LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo#821715
- Don't Read Everything: A Curvature-Conditioned Query for Linear Attention#793703
- Don't Read Everything: A Curvature-Conditioned Query for Linear Attention#789699
- FTA-Mem: Fact-Time-Affect Anchored Memory for Low-Density Long-Term Dialogue#620703
Record · ID 489655
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