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 37 of 99
2018
Lagrangian constrained community detection
M Ganji, J Bailey, P Stuckey
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Machine Learning15 citationsReference abstract domains and applications to string analysis
R Amadini, G Gange, F Gauthier, A Jordan, P Schachte, H Søndergaard, ...
Fundamenta Informaticae 158 (4), 297-326, 2018
Machine Learning15 citationsForward search in contraction hierarchies
D Harabor, P Stuckey
Proceedings of the International Symposium on Combinatorial Search 9 (1), 55-62, 2018
Optimization15 citationsSolution dominance over constraint satisfaction problems
T Guns, PJ Stuckey, G Tack
arXiv preprint arXiv:1812.09207, 2018
Machine Learning14 citationsBayesian multi-label learning with sparse features and labels, and label co-occurrences
H Zhao, P Rai, L Du, W Buntine
International Conference on Artificial Intelligence and Statistics, 1943-1951, 2018
Bayesian Methods14 citationsCapacity-aware Sequential Recommendations
F de Nijs, G Theocharous, N Vlassis, MM de Weerdt, MTJ Spaan
Proceedings of the 17th International Conference on Autonomous Agents and …, 2018
Research12 citationsDeclarative local-search neighbourhoods in MiniZinc
G Björdal, P Flener, J Pearson, PJ Stuckey, G Tack
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
Optimization12 citationsBallot-polling risk limiting audits for IRV elections
M Blom, PJ Stuckey, VJ Teague
International Joint Conference on Electronic Voting, 17-34, 2018
Research12 citationsPropagating lex, find and replace with Dashed Strings
R Amadini, G Gange, PJ Stuckey
International Conference on the Integration of Constraint Programming …, 2018
Research12 citationsPropagating regular membership with dashed strings
R Amadini, G Gange, PJ Stuckey
International Conference on Principles and Practice of Constraint …, 2018
Research10 citationsPreallocation and planning under stochastic resource constraints
F de Nijs, MTJ Spaan, MM de Weerdt
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Machine Learning9 citationsForecast: Forecasting functions for time series and linear models. R package
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Forecasting7 citations
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