Journal Articles

  • Context discovery for anomaly detection — Calikus, Ece; Nowaczyk, Sławomir; Dikmen, Onur. International Journal of Data Science and Analytics, 19(1):99–113 (2025).

  • Wisdom of the contexts: active ensemble learning for contextual anomaly detection — Calikus, Ece; Nowaczyk, Sławomir; Bouguelia, Mohamed-Rafik; Dikmen, Onur. Data Mining and Knowledge Discovery, 36(6):2410–2458 (2022).

  • Opportunities for machine learning in district heating — Mbiydzenyuy, Gideon; Nowaczyk, Sławomir; Knutsson, Håkan; Vanhoudt, Dirk; Brage, Jens; Calikus, Ece. Applied Sciences, 11(13):6112 (2021).

  • No free lunch but a cheaper supper: A general framework for streaming anomaly detection — Calikus, Ece; Nowaczyk, Sławomir; Sant’Anna, Anita; Dikmen, Onur. Expert Systems with Applications, 155:113453 (2020).

  • A data-driven approach for discovering heat load patterns in district heating — Calikus, Ece; Nowaczyk, Sławomir; Sant’Anna, Anita; Gadd, Henrik; Werner, Sven. Applied Energy, 252:113409 (2019).

  • Ranking abnormal substations by power signature dispersion — Calikus, Ece; Nowaczyk, Sławomir; Sant’Anna, Anita; Byttner, Stefan. Energy Procedia, 149:345–353 (2018).

Conference and Workshop Proceedings

  • Gradient-Based Diversity Optimization with Differentiable Top-k Objective — Zhou, Tianyi; Dalleiger, Sebastian; Calikus, Ece; Gionis, Aristides. The Fourteenth International Conference on Learning Representations (2026).

  • Reimagining Anomalies: What If Anomalies Were Normal? — Liznerski, Philipp; Varshneya, Saurabh; Calikus, Ece; Wang, Puyu; Bartscher, Alexander; Vollmer, Sebastian Josef; Fellenz, Sophie; Kloft, Marius. Proceedings of the AAAI Conference on Artificial Intelligence, 40(18):15430–15438 (2026).

  • Who is at Risk? Analyzing the Risk of Radicalization Among Reddit Users — Calikus, Ece; De Francisci Morales, Gianmarco; Gionis, Aristides. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 375–392 (2025).

  • Towards intersectional fairness in community detection — Panayiotou, Georgios; Magnani, Matteo; Calikus, Ece. Workshop Proceedings of the 19th International AAAI Conference on Web and Social Media, 507(651):378 (2025).

  • MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection — Panayiotou, Georgios; Simon, Anand Mathew Muthukulam; Magnani, Matteo; Calikus, Ece. arXiv preprint arXiv:2510.12348 (2025).

  • Video features predicting engagement in climate change education — Christodoulou, Vasiliki; Saprikis, Vaggelis; Kythreotou, Louiza; Christodoulos, Monogios; Calikus, Ece; Joselowitz, Jared. E3S Web of Conferences, 436 (2023). EDP Sciences.

  • Interactive-cosmo: Consensus self-organized models for fault detection with expert feedback — Calikus, Ece; Fan, Yuantao; Nowaczyk, Sławomir; Sant’Anna, Anita. Proceedings of the Workshop on Interactive Data Mining, pp. 1–9 (2019).

  • Monitoring equipment operation through model and event discovery — Nowaczyk, Sławomir; Sant’Anna, Anita; Calikus, Ece; Fan, Yuantao. International Conference on Intelligent Data Engineering and Automated Learning, pp. 41–53 (2018). Springer International Publishing.

Theses

  • Together we learn more: Algorithms and applications for user-centric anomaly detection (PhD Thesis) — Calikus, Ece. Halmstad University Press (2022).

Book Chapters

  • Towards autonomous knowledge creation from big data in smart cities — Nowaczyk, Sławomir; Rögnvaldsson, Thorsteinn; Fan, Yuantao; Calikus, Ece. In Handbook of Smart Cities, pp. 1–35 (2020). Springer International Publishing.