Publications

(2024). Complex Event Recognition with Symbolic Register Transducers. In International Conference on Very Large DataBases (VLDB).

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(2024). A Tensor-Based Formalization of the Event Calculus. In Proceedings of the 33rd International Conference on Artificial Intelligence (IJCAI), 3584–3592.

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(2024). Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity. In Machine Learning, 113(3), 1445–1481.

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(2024). A Framework to Evaluate Early Time-Series Classification Algorithms. In Proceedings of the 27th International Conference on Extending Database Technology (EDBT).

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(2023). Online Event Recognition over Noisy Data Streams. In International Journal of Approximate Reasoning (IJAR), 161:108993.

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(2023). Online Learning Probabilistic Event Calculus Theories in Answer Set Programming. In Theory and Practice of Logic Programming Journal (TPLP), 23(2), pp. 362–386.

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(2023). Complex Event Recognition with Allen Relations. In Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR), 502–511.

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(2022). Incremental Event Calculus for Run-Time Reasoning. In Journal of Artificial Intelligence Research (JAIR), 73, pp. 967–1023.

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(2022). Complex Event Forecasting with Prediction Suffix Trees. In International Journal on Very Large DataBases (VLDBJ).

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(2022). Stream Reasoning with Cycles. In Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (KR).

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(2021). A Probabilistic Interval-based Event Calculus for Activity Recognition. In Annals of Mathematics and Artificial Intelligence Journal (AMAI), 89.

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(2020). Complex Event Recognition in the Big Data Era: A Survey. In The International Journal on Very Large DataBases (VLDBJ), 29(1).

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(2020). Online Probabilistic Interval-based Event Calculus. In European Conference on Artificial Intelligence (ECAI).

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(2020). Fine-Tuned Compressed Representations of Vessel Trajectories.. In International Conference on Information and Knowledge Management (CIKM).

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(2020). WOLED: A Tool for Online Learning Weighted Answer Set Rules for Temporal Reasoning Under Uncertainty. In Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR).

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(2019). Semi-Supervised Online Structure Learning for Composite Event Recognition. In Machine Learning, 108(7).

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(2018). Online Learning of Weighted Relational Rules for Complex Event Recognition. In European Conference on Machine Learning (ECML-PKDD).

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(2017). Probabilistic Complex Event Recognition: A Survey. In ACM Computing Surveys, 50(5).

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(2017). Online event recognition from moving vessel trajectories. In GeoInformatica, 21(2).

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(2016). Online Learning of Event Definitions. In Theory and Practice of Logic Programming (TPLP), 16(5-6).

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(2016). OSLα: Online Structure Learning using Background Knowledge Axiomatization. In European Conference on Machine Learning (ECML-PKDD).

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(2015). Incremental Learning of Event Definitions with Inductive Logic Programming. In Machine Learning, 100(2-3).

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(2015). An Event Calculus for Event Recognition. In IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(4).

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(2015). A probabilistic logic programming event calculus. In Theory and Practice of Logic Programming (TPLP), 15(2).

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(2015). Probabilistic Event Calculus for Event Recognition. In ACM Transactions on Computational Logic (TOCL), 16(2).

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