Research & Decision Science
Where forecasting research becomes operational decision infrastructure
RabbitHawk is built on peer-reviewed work in probabilistic forecasting, hierarchical reconciliation, optimization and applied AI, translated into systems that improve real decisions under real constraints.
- publications
- 1,181publications
- citations
- 53,485citations
- highly cited papers
- Top 1%highly cited papers
Scientific foundations
Methods proven in the literature, applied in production
Our team’s research is recognized at the field’s leading venues and used at scale by major organizations. We bring that rigor to enterprise planning, but judge every method by whether it improves decisions in practical settings.
Research → product
| Research area | Enterprise problem | RabbitHawk capability |
|---|---|---|
| Hierarchical forecasting | Local plans do not add up to executive targets | 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 | Context ingestion and decision agents |
| Human-in-the-loop AI | Automation without trust creates resistance | Approval, override and audit trails |
| Alignment science | Teams optimize against conflicting goals | 90North alignment and goal clarity |
Hierarchical forecasting
Local plans do not add up to executive targets
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
Context ingestion and decision agents
Human-in-the-loop AI
Automation without trust creates resistance
Approval, override and audit trails
Alignment science
Teams optimize against conflicting goals
90North alignment and goal clarity
Selected publications
The full peer-reviewed database: search by title, author, venue, category or year.
1,181 results · page 56 of 99
2013
ACM Transactions on Intelligent Systems and Technology (TIST) Volume 5 Issue 1
DH Xiong, DS Shekhar, DA Tuzhilin, F Bonchi, W Buntine, R Gavaldá, ...
ACM 5 (1), 2013
ResearchIntroduction: special issue of selected papers of ACML 2012
ZH Zhou, WS Lee, SCH Hoi, W Buntine, H Motoda
Machine Learning 92 (2), 221-223, 2013
ResearchNumerical Algorithms for the Analysis of Expert Opinions Elicited in Text Format
WP Malcolm, W Buntine
ResearchNumerical Algorithms for the Analysis of Expert Opinions Elicited in Text Format: DSTO-TR-2797
WP Malcolm, W Buntine
DSTO Formal Reports, 2013
Research
2012
On the use of cross-validation for time series predictor evaluation
C Bergmeir, JM Benítez
Information Sciences 191, 192-213, 2012
Forecasting1,464 citationsNeural networks in R using the Stuttgart neural network simulator: RSNNS
C Bergmeir, JM Benítez
Journal of Statistical Software 46, 1-26, 2012
Machine Learning436 citations- Research200 citations
Segmentation of cervical cell nuclei in high-resolution microscopic images: a new algorithm and a web-based software framework
C Bergmeir, MG Silvente, JM Benítez
Computer methods and programs in biomedicine 107 (3), 497-512, 2012
Research154 citationsSequential latent Dirichlet allocation
L Du, W Buntine, H Jin, C Chen
Knowledge and information systems 31 (3), 475-503, 2012
Research86 citationsScore-based Bayesian skill learning
S Guo, S Sanner, T Graepel, W Buntine
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
Bayesian Methods48 citationsSignedness-agnostic program analysis: Precise integer bounds for low-level code
JA Navas, P Schachte, H Søndergaard, PJ Stuckey
Asian Symposium on Programming Languages and Systems, 115-130, 2012
Research40 citationsMaximising the net present value for resource-constrained project scheduling
A Schutt, G Chu, PJ Stuckey, MG Wallace
International conference on integration of artificial intelligence (AI) and …, 2012
Machine Learning36 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.