Zhang, K., Zhou, J., Tao, D.
, Karras, P., Li, Q. & Xiong, H. (2020).
Geodemographic Influence Maximization. In
KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2764-2774). Association for Computing Machinery.
https://doi.org/10.1145/3394486.3403327
Zardbani, F., Afshani, P. & Karras, P. (2020).
Revisiting the theory and practice of database cracking. In A. Bonifati, Y. Zhou, M. A. Vaz Salles, A. Bohm, D. Olteanu, G. Fletcher, A. Khan & B. Yang (Eds.),
Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings (pp. 415-418). openproceedings.org.
https://doi.org/10.5441/002/edbt.2020.46
Tziavelis, N., Giannakopoulos, I., Doka, K., Koziris, N.
& Karras, P. (2019).
Equitable Stable Matchings in Quadratic Time. In H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox & R. Garnett (Eds.),
Advances in Neural Information Processing Systems 32 (NIPS 2019): Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019 (Vol. 32, pp. 455-465). Curran Associates, Inc..
https://papers.nips.cc/paper/8337-equitable-stable-matchings-in-quadratic-time
Tzavelis, N., Giannakopoulos, I., Johansen, R. Q., Doka, K., Koziris, N.
& Karras, P. (2020).
Fair Procedures for Fair Stable Marriage Outcomes. In
AAAI 2020 - 34th AAAI Conference on Artificial Intelligence (Vol. 34, no. 5, pp. 7269-7276). AAAI Press.
https://doi.org/10.1609/aaai.v34i05.6218
Tsitsulin, A.
, Mottin, D., Karras, P., Bronstein, A. & Müller, E. (2019).
Spectral graph complexity. In L. Liu & R. White (Eds.),
The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019 (pp. 308-309). Association for Computing Machinery.
https://doi.org/10.1145/3308560.3316589
Tsitsulin, A., Munkhoeva, M.
, Mottin, D., Karras, P., Bronstein, A., Oseledets, I. & Müller, E. (2020).
The Shape of Data: Intrinsic Distance for Data Distributions. Paper presented at The International Conference on Learning Representations (ICLR), Ababa, Ethiopia.
Tsitsulin, A., Munkhoeva, M.
, Mottin, D., Karras, P., Oseledets, I. & Mueller, E. (2021).
FREDE: Anytime Graph Embeddings.
Proceedings of the VLDB Endowment,
14(6), 1102-1110.
https://doi.org/10.14778/3447689.3447713
Truica, C.-O., Apostol, E. S., Stefu, T.
& Karras, P. (2021).
A Deep Learning Architecture for Audience Interest Prediction of News Topic on Social Media. In Y. Velegrakis, D. Zeinalipour-Yazti, P. K. Chrysanthis & F. Guerra (Eds.),
Advances in Database Technology - EDBT 2021: 24th International Conference on Extending Database Technology, Proceedings (pp. 588-599). openproceedings.org.
https://doi.org/10.5441/002/edbt.2021.69
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). Article 9260103 IEEE.
https://doi.org/10.1109/DSAA49011.2020.00023
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.
https://doi.org/10.1007/978-3-319-32025-0_11
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
Database and Expert Systems Applications - 30th International Conference, DEXA 2019, Proceedings (pp. 314-326)
https://doi.org/10.1007/978-3-030-27615-7_24
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
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. Article 8340880.
https://doi.org/10.1109/TKDE.2018.2828086
Skitsas, K., Papageorgiou, I. G., Talebi, M. S., Kantere, V., Katehakis, M. N.
& Karras, P. (2022).
SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs.
Proceedings of the VLDB Endowment,
16(1), 90-98.
https://doi.org/10.14778/3561261.3561269
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
Saleem, M. A., Soares da Costa, F., Dolog, P.
, Karras, P., Pedersen, T. B. & Calders, T. (2018).
Predicting Visitors Using Location-Based Social Networks. In
Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018 (pp. 245-250). IEEE.
https://doi.org/10.1109/MDM.2018.00043
Saleem, M. A., Calders, T.
, Pedersen, T. B. & Karras, P. (2021).
Finding Geo-Social Cohorts in Location-Based Social Networks. In L. H. U, M. Spaniol, Y. Sakurai & J. Chen (Eds.),
Web and Big Data - 5th International Joint Conference, APWeb-WAIM 2021, Proceedings: 5th International Joint Conference, APWeb-WAIM 2021, Proceedings, Part II (pp. 368-383). Springer International Publishing.
https://doi.org/10.1007/978-3-030-85899-5_27
Safavi, T., Belth, C., Faber, L.
, Mottin, D., Müller, E. & Koutra, D. (2019).
Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. 528-537. Paper presented at IEEE International Conference on Data Mining, Beijing, China.
https://web.eecs.umich.edu/~dkoutra/papers/19_ICDM_GLIMPSE-CR.pdf
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: Special Issue on Database- and Expert-Systems Applications (Vol. 11310, pp. 169-199). Springer VS.
https://doi.org/10.1007/978-3-662-58415-6_6
Pauli, A. B., Pablos Sarabia, R., Derczynski, L.
& Assent, I. (2023).
TeamAmpa at SemEval-2023 Task 3: Exploring Multilabel and Multilingual RoBERTa Models for Persuasion and Framing Detection. In A. K. Ojha, A. S. Doğruöz, G. Da San Martino, H. Tayyar Madabushi, R. Kumar & E. Sartori (Eds.),
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 847–855). Association for Computational Linguistics.
https://doi.org/10.18653/v1/2023.semeval-1.117