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 15 of 99
2022
Using MaxSAT for efficient explanations of tree ensembles
A Ignatiev, Y Izza, PJ Stuckey, J Marques-Silva
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3776-3785, 2022
Research93 citationsModel selection in reconciling hierarchical time series
M Abolghasemi, RJ Hyndman, E Spiliotis, C Bergmeir
Machine Learning 111 (2), 739-789, 2022
Forecasting37 citationsPruning vs XNOR-net: A comprehensive study of deep learning for audio classification on edge-devices
M Mohaimenuzzaman, C Bergmeir, B Meyer
IEEE Access 10, 6696-6707, 2022
Machine Learning35 citationsMulti-agent path finding for precedence-constrained goal sequences
H Zhang, J Chen, J Li, B Williams, S Koenig
International Joint Conference on Autonomous Agents and Multiagent Systems …, 2022
Machine Learning32 citationsAssociation between urine output and mortality in critically ill patients: a machine learning approach
AJ Heffernan, S Judge, SM Petrie, R Godahewa, C Bergmeir, D Pilcher, ...
Critical care medicine 50 (3), e263-e271, 2022
Machine Learning30 citationsProximal policy optimization based reinforcement learning for joint bidding in energy and frequency regulation markets
M Anwar, C Wang, F De Nijs, H Wang
2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022
Machine Learning30 citationsLimref: Local interpretable model agnostic rule-based explanations for forecasting, with an application to electricity smart meter data
D Rajapaksha, C Bergmeir
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12098 …, 2022
Forecasting27 citationsSmooth perturbations for time series adversarial attacks
G Pialla, HI Fawaz, M Devanne, J Weber, L Idoumghar, PA Muller, ...
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 485-496, 2022
Forecasting25 citationsA divide and conquer algorithm for predict+ optimize with non-convex problems
AU Guler, E Demirović, J Chan, J Bailey, C Leckie, PJ Stuckey
Proceedings of the AAAI conference on artificial intelligence 36 (4), 3749-3757, 2022
Research22 citationsMachine learning to predict adverse outcomes after cardiac surgery: a systematic review and meta‐analysis
JC Penny‐Dimri, C Bergmeir, L Perry, L Hayes, R Bellomo, JA Smith
Machine Learning21 citationsFast optimal and bounded suboptimal euclidean pathfinding
B Shen, MA Cheema, DD Harabor, PJ Stuckey
Artificial Intelligence 302, 103624, 2022
Research20 citationsComparison and Evaluation of Methods for a Predict+ Optimize Problem in Renewable Energy
C Bergmeir, F de Nijs, A Sriramulu, M Abolghasemi, R Bean, J Betts, ...
arXiv preprint arXiv:2212.10723, 2022
Research19 citations
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