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 17 of 99
2022
FRANS: Automatic feature extraction for time series forecasting
A Chernikov, CW Tan, P Montero-Manso, C Bergmeir
arXiv preprint arXiv:2209.07018, 2022
Forecasting6 citationsDual euclidean shortest path search
R Hechenberger, PJ Stuckey, P Le Bodic, DD Harabor
Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022
Optimization5 citationsMulti-train path finding revisited
Z Chen, J Li, D Harabor, PJ Stuckey, S Koenig
Proceedings of the International Symposium on Combinatorial Search 15 (1), 38-46, 2022
Machine Learning5 citationsMulti-target search in euclidean space with ray shooting (full version)
R Hechenberger, D Harabor, MA Cheema, PJ Stuckey, PL Bodic
arXiv preprint arXiv:2207.02436, 2022
Optimization5 citationsCoupling different integer encodings for SAT
H Bierlee, G Gange, G Tack, JJ Dekker, PJ Stuckey
International Conference on Integration of Constraint Programming …, 2022
Research4 citationsUnsupervised sentence simplification via dependency parsing
V Vo, W Wang, W Buntine
arXiv preprint arXiv:2206.12261, 2022
Research4 citationsInductive biases for low data vqa: a data augmentation approach
N Askarian, E Abbasnejad, I Zukerman, W Buntine, G Haffari
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
Research4 citationsBallot-polling audits of instant-runoff voting elections with a Dirichlet-tree model
F Everest, M Blom, PB Stark, PJ Stuckey, V Teague, D Vukcevic
European Symposium on Research in Computer Security, 525-540, 2022
Research3 citationsEnumerated Types and Type Extensions for MiniZinc
PJ Stuckey, G Tack
International Conference on Integration of Constraint Programming …, 2022
Research2 citations- Research2 citations
Evaluating individual heterogeneity in mental health research: an overview of clustering methods and guidelines for applications
CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, JMM Bayer, ...
PsyArXiv, 2022
Optimization1 citationsMaking resource-constrained sequential recommendations
F De Nijs, G Theocharous
US Patent 11,449,763, 2022
Machine Learning1 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.