Scott Sanner
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Vector Instituteas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-7984-8394
- OpenAlex ID
- A5028174137, A5123125590, A5124052384, A5137598952, A5140951572as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 47
Achieving Efficient and Cognitively Plausible Learning in Backgammon,
A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams,
A Longitudinal Study of Topic Classification on Twitter,
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems,
A User-Centric Analysis of Social Media for Stock Market Prediction,
AutoRec,
A Workflow Analysis of Context-driven Conversational Recommendation,
Classification and Regression via Integer Optimization for Neighborhood Change
+39 more
← Authored by 47
Achieving Efficient and Cognitively Plausible Learning in Backgammon,
A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams,
A Longitudinal Study of Topic Classification on Twitter,
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems,
A User-Centric Analysis of Social Media for Stock Market Prediction,
AutoRec,
A Workflow Analysis of Context-driven Conversational Recommendation,
Classification and Regression via Integer Optimization for Neighborhood Change
+39 more
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Summary
Scott Sanner is a human[1].