Research & Decision Science
Research built into the product
Forecasting, optimization and applied AI for real decisions under real constraints.
- indexed research outputs
- 1,181indexed research outputs
- combined citations
- 53,485combined citations
- Clarivate Highly Cited Papers in forecasting
- Top 1%Clarivate Highly Cited Papers in forecasting
Scientific foundations
From research result to product behavior
Probabilistic forecasts, coherent hierarchies, constraint-aware recommendations and governed human intervention.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local forecasts do not aggregate coherently across the enterprise | Reconciled forecasts across every level |
| Probabilistic forecasting | Point forecasts hide risk | Full predictive distributions, intervals and scenario ranges |
| Optimization | Forecasts do not tell teams what to do | Constraint-aware recommendations |
| Agentic AI | Context is trapped in emails and notes | Adaptive elicitation, semantic routing and governed context workflows |
| Human-in-the-loop AI | Automation without trust creates resistance | Belief review, governed publication and intervention lineage |
| Alignment science | Teams optimize against conflicting goals | Goals & Guardrails within Forecasting & Optimization |
Hierarchical forecasting
Local forecasts do not aggregate coherently across the enterprise
Reconciled forecasts across every level
Probabilistic forecasting
Point forecasts hide risk
Full predictive distributions, intervals and scenario ranges
Optimization
Forecasts do not tell teams what to do
Constraint-aware recommendations
Agentic AI
Context is trapped in emails and notes
Adaptive elicitation, semantic routing and governed context workflows
Human-in-the-loop AI
Automation without trust creates resistance
Belief review, governed publication and intervention lineage
Alignment science
Teams optimize against conflicting goals
Goals & Guardrails within Forecasting & Optimization
Research database
Search the indexed record by title, author, venue, category or year. Records include peer-reviewed work, preprints, books, chapters and other scholarly outputs.
1,181 results · page 76 of 99
2005
Topic-specific scoring of documents with discrete PCA
W Buntine, K Valtonen
ICML 2005 Workshop 4, 34-41, 2005
Research1 citationsStructuring Documents Efficiently
R Marshall, S Bird, P Stuckey
Proceedings of the Australasian Language Technology Workshop 2005, 120-126, 2005
ResearchImproved Inference for Checking Annotations
PJ Stuckey, M Sulzmann, J Wazny
arXiv preprint cs/0507036, 2005
Bayesian MethodsFast Node Overlap Removal in Graph Layout Adjustment
T Dwyer, K Marriott, PJ Stuckey
Monash University Publishing, 2005
Research13 An MDL Framework for Data Clustering
P Myllymäki, W Buntine
Advances in Minimum Description Length: Theory and Applications, 323, 2005
ResearchProceedings of Learning in Web Search (LWS 2005)
S Bloedorn, WL Buntine, A Hotho
OptimizationProceedings of the Workshop on Learning in Web Search (LWS 2005), 7-11 August 2005 in Bonn, Germany
S Bloehdorn, W Buntine, A Hotho
Optimization
2004
The refined operational semantics of Constraint Handling Rules
GJ Duck, PJ Stuckey, MG De La Banda, C Holzbaur
International Conference on Logic Programming, 90-104, 2004
Machine Learning239 citationsSpeeding up constraint propagation
C Schulte, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2004
Machine Learning94 citationsImproving type error diagnosis
PJ Stuckey, M Sulzmann, J Wazny
Proceedings of the 2004 ACM SIGPLAN workshop on Haskell, 80-91, 2004
Research70 citationsSound and decidable type inference for functional dependencies
GJ Duck, S Peyton-Jones, PJ Stuckey, M Sulzmann
European Symposium on Programming, 49-63, 2004
Bayesian Methods54 citationsA scalable topic-based open source search engine
W Buntine, J Lofstrom, J Perkio, S Perttu, V Poroshin, T Silander, H Tirri, ...
IEEE/WIC/ACM International Conference on Web Intelligence (WI'04), 228-234, 2004
Optimization49 citations
Learn the science behind the engine
“Forecasting for Data Scientists”, a free 30-chapter video course by co-founder Dr Christoph Bergmeir, from fundamentals to advanced deep learning.