This page presents a partial list of papers we have read as part of our work in SumTime. There is plenty of literature on processing Time Series Data. We intend to review as much earlier work as we can manage during the project.Therefore, from time to time we might update this page with new references.
| 1. | Shahar, Y., 1997, A farmework for knowledge-based temporal abstraction, Artificial Intelligence 90, 79-133. |
| 2. | Shahar, Y. et al, Semi-automated entry of Clinical Temporal-abstraction knowledge, Journal of the American Medical Informatics Association Vol 6 Num 6 Nov/Dec 1999 |
| 3. | Shahar, Y., Dynamic Temporal Interpretation Contexts for Temporal Abstraction, Ann Math Artif Intell., 22(1-2) 1998. |
| 4. | Goldberg, E. et al, Using Natural-Language Processing to produce Weather Forecasts, IEEE Expert, April 1994. |
| 5. | Grosso, W. et al, Knowledge Modeling at the Millennium (The design and evolution of Protege-2000), http://www.smi.stanford.edu/projects/protege/protege-2000/ |
| 6. | Boyd, S., TREND: A System for Generating Intelligent descriptions of time-series data, IEEE International Conference on Intelligent Processing Systems, 1998 |
| 7. | Gunther, O. et al, The design of MMM: A Model Management System for the time series analysis, http://www.cs.dartmouth.edu/~samr/DAGS95/Papers/mmm.html |
| 8. | Vibhu Mittal, Johanna Moore, Guiseppe Carenini and Steven Roth, Describing complex charts in Natural language: A caption generation system, Computational Linguistics, 24, 431-467, 1998 |
| 9. | O Rioul and M Vetterli (1991), Wavelets and Signal Processing,
IEEE SIGNAL PROCESSING, vol 8, pp 14-38 |