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 24 of 99
2021
Lightweight nontermination inference with CHCs
B Kafle, G Gange, P Schachte, H Søndergaard, PJ Stuckey
International Conference on Software Engineering and Formal Methods, 383-402, 2021
Bayesian Methods1 citationsMulti-Target Search in Euclidean Space with Ray Shooting
R Hechenberger, DD Harabor, MA Cheema, PJ Stuckey, P Le Bodic
Proceedings of the International Symposium on Combinatorial Search 12 (1 …, 2021
Optimization1 citationsEvaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract)
YS Grewal, F de Nijs, S Goodwin
Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15785 …, 2021
Machine LearningML4CO submission EFPP
E Lam, F de Nijs, P Le Bodic, P Stuckey
Advances in Neural Information Processing Systems Competition 2021: Machine …, 2021
ResearchPlanning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021
B Say, S Sanner, J Devriendt, J Nordström, PJ Stuckey
arXiv preprint arXiv:2108.00633, 2021
Machine LearningIntegration of Constraint Programming, Artificial Intelligence, and Operations Research
PJ Stuckey
Springer International Publishing, 2021
Machine LearningThe Neglected Sibling: Isotropic Gaussian Posterior for VAE
L Zhang, W Buntine, E Shareghi
arXiv preprint arXiv:2110.07383, 2021
ResearchTemporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
B Hettige, W Wang, YF Li, S Le, W Buntine
arXiv preprint arXiv:2102.02586, 2021
Forecasting
2020
Learning classification trees
W Buntine
Artificial Intelligence frontiers in statistics, 182-201, 2020
Research693 citationsForecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
K Bandara, C Bergmeir, S Smyl
Expert systems with applications 140, 112896, 2020
Machine Learning591 citationsReinforcement learning for whole-building HVAC control and demand response
D Azuatalam, WL Lee, F de Nijs, A Liebman
Energy and AI 2, 100020, 2020
Machine Learning284 citationsLSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns
K Bandara, C Bergmeir, H Hewamalage
IEEE transactions on neural networks and learning systems 32 (4), 1586-1599, 2020
Forecasting248 citations
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