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 38 of 99
2018
Image constrained blockmodelling: a constraint programming approach
M Ganji, J Chan, PJ Stuckey, J Bailey, C Leckie, K Ramamohanarao, ...
Proceedings of the 2018 SIAM International Conference on Data Mining, 19-27, 2018
Machine Learning7 citationsPackage forecast-the comprehensive R archive network
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Jun, 2018
Forecasting6 citationsforecast: Forecasting functions for time series and linear models (version 8.)
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
R package, 2018
Forecasting6 citationsA study of evacuation planning for wildfires
C Artigues, E Hébrard, Y Pencolé, A Schutt, PJ Stuckey
The Seventeenth International Workshop on Constraint Modelling and …, 2018
Optimization6 citationsDistinguishing question subjectivity from difficulty for improved crowdsourcing
Y Jin, M Carman, Y Zhu, W Buntine
Asian Conference on Machine Learning, 192-207, 2018
Research6 citationsExperiments with learning graphical models on text
J Capdevila, H Zhao, F Petitjean, W Buntine
Behaviormetrika 45 (2), 363-387, 2018
Bayesian Methods6 citationsA left-to-right algorithm for likelihood estimation in gamma-poisson factor analysis
J Capdevila, J Cerquides, J Torres, F Petitjean, W Buntine
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
Research6 citationsSequential precede chain for value symmetry elimination
G Gange, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2018
Machine Learning5 citationsBreaking symmetries with lex implications
M Codish, T Ehlers, G Gange, A Itzhakov, PJ Stuckey
International Symposium on Functional and Logic Programming, 182-197, 2018
Research5 citationsLocal-style search in the linear MaxSAT algorithm: A computational study of solution-based phase saving
E Demirovic, P Stuckey
Pragmatics of SAT workshop, 2018
Optimization5 citationsforecast: Forecasting functions for time series and linear models. Software, R package
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting3 citationsSemi-supervised blockmodelling with pairwise guidance
M Ganji, J Chan, PJ Stuckey, J Bailey, C Leckie, K Ramamohanarao, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
Machine Learning3 citations
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