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 12 of 99
2023
From formal boosted tree explanations to interpretable rule sets
J Yu, A Ignatiev, PJ Stuckey
29th International Conference on Principles and Practice of Constraint …, 2023
Research8 citationsRobust educational dialogue act classifiers with low-resource and imbalanced datasets
J Lin, W Tan, ND Nguyen, D Lang, L Du, W Buntine, R Beare, G Chen, ...
International Conference on Artificial Intelligence in Education, 114-125, 2023
Research8 citationsCommon Pitfalls and Better Practices in Forecast Evaluation for Data Scientists.
C Bergmeir
Foresight: The International Journal of Applied Forecasting, 2023
Forecasting7 citationsDoes informativeness matter? Active learning for educational dialogue act classification
W Tan, J Lin, D Lang, G Chen, D Gašević, L Du, W Buntine
International Conference on Artificial Intelligence in Education, 176-188, 2023
Research7 citationsCausal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand
AN Prasanna, P Grecov, AD Weng, C Bergmeir
IEEE Transactions on Power Systems 39 (2), 3417-3430, 2023
Forecasting5 citationsAdaptively weighted audits of instant-runoff voting elections: AWAIRE
A Ek, PB Stark, PJ Stuckey, D Vukcevic
International Joint Conference on Electronic Voting, 35-51, 2023
Machine Learning5 citationsA constraint programming solution to the guillotine rectangular cutting problem
S Polyakovskiy, PJ Stuckey
Proceedings of the International Conference on Automated Planning and …, 2023
Machine Learning4 citationsChameleonIDE: Untangling Type Errors Through Interactive Visualization and Exploration
S Fu, T Dwyer, PJ Stuckey, J Wain, J Linossier
2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023
Research4 citationsPaying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network
JC Penny-Dimri, C Bergmeir, CM Reid, J Williams-Spence, AD Cochrane, ...
Plos one 18 (8), e0289930, 2023
Machine Learning3 citationsDeep active audio feature learning in resource-constrained environments
M Mohaimenuzzaman, C Bergmeir, B Meyer
arXiv preprint arXiv:2308.13201, 2023
Machine Learning3 citationsA FastMap-Based Framework for Efficiently Computing Top-K Projected Centrality
A Li, P Stuckey, S Koenig, TKS Kumar
Research3 citationsLifted Sequential Planning with Lazy Constraint Generation Solvers
A Singh, M Ramirez, N Lipovetzky, PJ Stuckey
arXiv preprint arXiv:2307.08242, 2023
Machine Learning3 citations
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