Bilstrup, K. E. K., Kaspersen, M. H., Assent, I., Enni, S. & Petersen, M. G. (2022).
From Demo to Design in Teaching Machine Learning. In
Proceedings of the 5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022 (pp. 2168-2178). Association for Computing Machinery. ACM International Conference Proceeding Series
https://doi.org/10.1145/3531146.3534634
Thai Son, M., Jacobsen, J., Amer-Yahia, S., Spence, I., Tran, P.
, Assent, I. & Viet Hung Nguyen, Q. (2022).
Incremental Density-based Clustering on Multicore Processors.
I E E E Transactions on Pattern Analysis and Machine Intelligence,
44(3), 1338-1356.
https://doi.org/10.1109/TPAMI.2020.3023125
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.
Trittenbach, H., Böhm, K.
& Assent, I. (2020).
Active Learning of SVDD Hyperparameter Values. In G. Webb, Z. Zhang, V. S. Tseng, G. Williams, M. Vlachos & L. Cao (Eds.),
Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020 (pp. 109-117). [9260103] IEEE.
https://doi.org/10.1109/DSAA49011.2020.00023
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
Son, M. T., Amer-Yahia, S.
, Assent, I., Birk, M., Storgaard Dieu, M., Jacobsen, J. & Kristensen, J. (2019).
Scalable Interactive Dynamic Graph Clustering on Multicore CPUs.
IEEE Transactions on Knowledge and Data Engineering,
31(7), 1239-1252. [8340880].
https://doi.org/10.1109/TKDE.2018.2828086
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
Shao, J., Tan, Y., Gao, L., Yang, Q., Plant, C.
& Assent, I. (2019).
Synchronization-based clustering on evolving data stream.
Information Sciences,
501, 573-587.
https://doi.org/10.1016/j.ins.2018.09.035
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
Pham, T. H.
, Kristensen, J., Mai, S. T., Assent, I., Jacobsen, J., Vo, B. & Le, A. (2018).
Interactive Exploration of Subspace Clusters on Multicore Processors. In A. Hameurlain, R. Wagner, D. Benslimane, E. Damiani & W. I. Grosky (Eds.),
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX: Special Issue on Database- and Expert-Systems Applications (Vol. 11310, pp. 169-199). Springer VS. Lecture Notes in Computer Science (LNCS) Vol. 11310
https://doi.org/10.1007/978-3-662-58415-6_6
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
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
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
Campos, G. O., Zimek, A., Sander, J., Campello, R. J. G. B.
, Micenková, B., Schubert, E.
, Assent, I. & Houle, M. E. (2016).
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study.
Data Mining and Knowledge Discovery,
30(4), 891-927.
https://doi.org/10.1007/s10618-015-0444-8
Müller, E.
, Assent, I., Günnemann, S., Seidl, T. & Dy, J. (2015).
MultiClust special issue on discovering, summarizing and using multiple clusterings.
Machine Learning,
98(1-2), 1-5.
https://doi.org/10.1007/s10994-014-5445-0