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 49 of 99
2015
A fusion of predicate logic and document semantic distance method orientated on data and context mapping
G Liu, W Buntine, S Sun, X Yang
2015 4th International Conference on Computer Science and Network Technology …, 2015
ResearchSpecial session on trends & controversies in data science (TCDS)
F Forbes, W Buntine
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
ResearchIntroduction: special issue of selected papers of ACML 2013
CS Ong, W Buntine, TB Ho, M Sugiyama, GI Webb
Machine Learning 99 (2), 165-167, 2015
Research
2014
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”
LS Riza, A Janusz, C Bergmeir, C Cornelis, F Herrera, D Śle, JM Benítez
Research222 citationsThe minizinc challenge 2008–2013
PJ Stuckey, T Feydy, A Schutt, G Tack, J Fischer
Research172 citationsOn the usefulness of cross-validation for directional forecast evaluation
C Bergmeir, M Costantini, JM Benítez
Computational Statistics & Data Analysis 76, 132-143, 2014
Forecasting119 citationsTwitter opinion topic model: Extracting product opinions from tweets by leveraging hashtags and sentiment lexicon
KW Lim, W Buntine
Proceedings of the 23rd ACM international conference on conference on …, 2014
Research117 citationsExperiments with non-parametric topic models
WL Buntine, S Mishra
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Research79 citationsEncoding linear constraints into SAT
I Abío, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2014
Machine Learning49 citationsDifferential topic models
C Chen, W Buntine, N Ding, L Xie, L Du
IEEE transactions on pattern analysis and machine intelligence 37 (2), 230-242, 2014
Research38 citations- Machine Learning37 citations
Synthesizing optimal switching lattices
G Gange, H Søndergaard, PJ Stuckey
ACM Transactions on Design Automation of Electronic Systems (TODAES) 20 (1 …, 2014
Research31 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.