Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B.
, Micenkova, B., Schubert, E.
, Assent, I. & Houle, M. E. (2016).
On the Evaluation of Outlier Detection: Measures, Datasets, and an Empirical Study Continued. In R. Krestel, D. Mottin & E. Müller (Eds.),
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen" (Vol. 1670, pp. 1). ceur workshop proceedings. CEUR Workshop Proceedings Vol. 1670
http://ceur-ws.org/Vol-1670/paper-55.pdf
Dang, X-H., Micenková, B., Assent, I. & Ng, R. T. (2013).
Local Outlier Detection with Interpretation. In H. Blockeel, K. Kersting , S. Nijssen & F. Železný (Eds.),
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III (pp. 304-320 ). Springer VS. Lecture Notes in Computer Science Vol. 8190
https://doi.org/10.1007/978-3-642-40994-3_20
Dang, X-H., Micenková, B., Assent, I. & Ng, R. T. (2013).
Outlier Detection with Space Transformation and Spectral Analysis. In C. Kamath, J. Dy, Z. Obradovic, J. Ghosh, S. Parthasarathy & Z-H. Zhou (Eds.),
Proceedings of the 2013 SIAM International Conference on Data Mining, SDM (pp. 225-233). Society for Industrial and Applied Mathematics.
https://doi.org/10.1137/1.9781611972832.25
Kristensen, J., Mai, S. T., Assent, I., Jacobsen, J., Vo, B. & Le, A. (2017).
Interactive exploration of subspace clusters for high dimensional data. In D. Benslimane, E. Damiani, W. I. Grosky, A. Hameurlain, A. Sheth & R. R. Wagner (Eds.),
Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Proceedings (Vol. 10438 LNCS, pp. 327-342). Springer VS. Lecture Notes in Computer Science Vol. 10438
https://doi.org/10.1007/978-3-319-64468-4_25
Mai, S. T., Dieu, M. S.
, Assent, I., Jacobsen, J.
, Kristensen, J. & Birk, M. (2017).
Scalable and interactive graph clustering algorithm on multicore CPUs. In
2017 IEEE 33rd International Conference on Data Engineering (ICDE) (pp. 349-360). IEEE Computer Society Press. Proceedings of the International Conference on Data Engineering
https://doi.org/10.1109/ICDE.2017.94
Micenková, B., Ng, R. T.
, Dang, X-H. & Assent, I. (2013).
Explaining outliers by subspace separability. In H. Xiong, G. Karypis, B. Thuraisingham, D. Cook & X. Wu (Eds.),
Proceedings, IEEE 13th International Conference on Data Mining (ICDM 2013) (pp. 518 - 527 ). IEEE Press. IEEE International Conference on Data Mining (ICDM'13)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6724379
Müller, E.
, Assent, I., Günnemann, S., Gerwert, P., Hannen, M., Jansen, T. & Seidl, T. (2011).
A Framework for Evaluation and Exploration of Clustering Algorithms in Subspaces of High Dimensional Databases. In T. Härder, W. Lehner, B. Mitschang, H. Schöning & H. Schwarz (Eds.),
Proceedings of the 14th GI Conference on Database Systems for Business, Technology, and the Web (BTW 2011) (pp. 347-366). Gesellschaft für Informatik e.V..
Neerbek, J., Eskildsen, M., Dolog, P.
& Assent, I. (2020).
A real-world data resource of complex sensitive sentences based on documents from the Monsanto trial. In N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk & S. Piperidis (Eds.),
LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (pp. 1258-1267). European Language Resources Association.
Neerbek, J., Assent, I. & Dolog, P. (2018).
Detecting Complex Sensitive Information via Phrase Structure in Recursive Neural Networks. In D. Phung, V. S. Tseng, G. I. Webb, B. Ho, M. Ganji & L. Rashidi (Eds.),
Advances in Knowledge Discovery and Data Mining: PAKDD '18 (Vol. 10939, pp. 373-385). Springer VS. Lecture Notes in Computer Science (LNCS) No. 10939
https://doi.org/10.1007/978-3-319-93040-4_30
Neerbek, J., Dolog, P.
& Assent, I. (2019).
Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings. In Q. Yang, M-L. Zhang, Z. Gong, S-J. Huang & Z-H. Zhou (Eds.),
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Proceedings: PAKDD '19 (pp. 40-53). Springer.
https://doi.org/10.1007/978-3-030-16142-2_4
Thai Son, M., Assent, I., Birk, M. S.
, Dieu, M. S., Jacobsen, J., Kristensen, J., Rahman, H., Thirumuruganathan, S., Das, G., Omidvar-Tehrani, B., Borromeo, R. M., Chen, L., Miller, R., Benouaret, I., Amer-Yahia, S. & Roy, S. B. (2019).
An Efficient Greedy Algorithm for Sequence Recommendation. In
DEXA 2019: International Conference on Database and Expert Systems Applications, Aug 2019, Linz, Austria (pp. 314-326)
https://doi.org/10.1007/978-3-030-27615-7_24
Thai Son, M., Assent, I. & Le, A. T. (2016).
Anytime OPTICS: An efficient approach for hierarchical density-based clustering. In S. B. Navathe, W. Wu, S. Shekhar, X. Du, X. Sean Wang & H. Xiong (Eds.),
Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Proceedings (Vol. 9642, pp. 164-179). Springer VS. Lecture Notes in Computer Science (LNCS) Vol. 9642
https://doi.org/10.1007/978-3-319-32025-0_11