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 35 of 99
2018
A note on the validity of cross-validation for evaluating autoregressive time series prediction
C Bergmeir, RJ Hyndman, B Koo
Computational Statistics & Data Analysis 120, 70-83, 2018
Forecasting887 citationsExploring the sources of uncertainty: Why does bagging for time series forecasting work?
F Petropoulos, RJ Hyndman, C Bergmeir
European Journal of Operational Research 268 (2), 545-554, 2018
Machine Learning211 citationsCharacterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
S Nanayakkara, S Fogarty, M Tremeer, K Ross, B Richards, C Bergmeir, ...
PLoS medicine 15 (11), e1002709, 2018
Machine Learning145 citationsLearning how to actively learn: A deep imitation learning approach
M Liu, W Buntine, G Haffari
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Research115 citationsAdaptive knowledge sharing in multi-task learning: Improving low-resource neural machine translation
P Zaremoodi, W Buntine, G Haffari
Annual Meeting of the Association of Computational Linguistics 2018, 656-661, 2018
Machine Learning75 citationsPackage ‘Mcomp’
R Hyndman, M Akram, C Bergmeir, M O'Hara-Wild, MR Hyndman
Research64 citationsLearning to actively learn neural machine translation
M Liu, W Buntine, G Haffari
Conference on Natural Language Learning 2018, 334-344, 2018
Machine Learning60 citationsSolution-based phase saving for CP: A value-selection heuristic to simulate local search behavior in complete solvers
E Demirović, G Chu, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2018
Optimization55 citationsChuffed, a lazy clause generation solver
G Chu, PJ Stuckey, A Schutt, T Ehlers, G Gange, K Francis
URL: https://github. com/chuffed/chuffed, 2018
Research51 citationsMixed-integer linear programming and constraint programming formulations for solving resource availability cost problems
S Kreter, A Schutt, PJ Stuckey, J Zimmermann
European Journal of Operational Research 266 (2), 472-486, 2018
Machine Learning49 citationsDirichlet belief networks for topic structure learning
H Zhao, L Du, W Buntine, M Zhou
Advances in neural information processing systems 31, 2018
Research46 citationsMachine learning and constraint programming for relational-to-ontology schema mapping
D De Uña, N Rümmele, G Gange, P Schachte, PJ Stuckey
International Joint Conference on Artificial Intelligence 2018, 1277-1283, 2018
Machine Learning36 citations
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