Publications

Showing entries 121 - 138 out of 138

Behzadi Soheil S, Hinterhauser H, Plant C. ITGC: Information-theoretic Grid-based Clustering. In Reinwald B, Herschel M, Fundulaki I, Kaoudi Z, Galhardas H, Binnig C, editors, EDBT 2019: 22nd International Conference on Extending Database Technology, Proceedings. open proceedings. 2019. p. 618-621. (Advances in Database Technology). doi.org/10.5441/002/edbt.2019.70


Sun X, Song Z, Dong J, Yu Y, Plant C, Böhm C. Network Structure and Transfer Behaviors Embedding via Deep Prediction Model. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Hono. 2019. p. 5041-5048 doi.org/10.1609/aaai.v33i01.33015041


Amrouche S, Golling T, Kiehn M, Plant C, Salzburger A. Similarity hashing for charged particle tracking. In Baru C, Huan J, Khan L, Hu XT, Ak R, Tian Y, Barga R, Zaniolo C, Lee K, Ye YF, editors, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. IEEE. 2019. p. 1595-1600 doi.org/10.1109/BigData47090.2019.9006316


Berner J, Elbrächter D, Grohs P, Jentzen A. Towards a regularity theory for ReLU networks – chain rule and global error estimates. In 2019 13th International Conference on Sampling Theory and Applications (SampTA). Piscataway, NJ: IEEE. 2019. p. 1-5 doi.org/10.1109/SampTA45681.2019.9031005


Schelling B, Plant C. DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering. In 2018 IEEE International Conference on Data Mining (ICDM) : 17-20 Nov. 2018. Piscataway, NJ: IEEE. 2018. p. 407-416 doi.org/10.1109/ICDM.2018.00056


Feldbauer R, Leodolter M, Plant C, Flexer A. Fast approximate hubness reduction for large high-dimensional data. In Soon OY, Chen H, Wu X, Aggarwal C, editors, 2018 IEEE International Conference on Big Knowledge (ICBK). IEEE. 2018. p. 358-367 doi.org/10.1109/ICBK.2018.00055


Schelling B, Plant C. KMN - Removing Noise from K-Means Clustering Results. In Ordonez C, Bellatreche L, editors, Big Data Analytics and Knowledge Discovery: 20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings. 1 ed. Cham: Springer International Publishing. 2018. p. 137-151. (Lecture Notes in Computer Science, Vol. 11031). (Information Systems and Applications, incl. Internet/Web, and HCI). doi.org/10.1007/978-3-319-98539-8_11


Lux M, Rinderle-Ma S, Preda A. Assessing the Quality of Search Process Models. In Montali M, Weber I, Weske M, vom Brocke J, editors, Business Process Management, 16th International Conference, BPM 2018, Sydney, NSW, Australia, September 9–14, 2018, Proceedings. Springer International Publishing. 2018. p. 445-461. (Lecture Notes in Computer Science, Vol. 11080). doi.org/10.1007/978-3-319-98648-7_26



Hubig N, Plant C. Information-Theoretic Non-redundant Subspace Clustering. In Kim J, Shim K, Cao L, Lee J-G, Lin X, Moon Y-S, editors, Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I. Cham: Springer International Publishing. 2017. p. 198-209. (Lecture Notes in Computer Science, Vol. 10234). doi.org/10.1007/978-3-319-57454-7_16


Leodolter M, Widhalm P, Plant C, Brändle N. Semi-supervised segmentation of accelerometer time series for transport mode classification. In 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017: Naples, Italy, June 26-28, 2017. 2017. p. 663-668 doi.org/10.1109/MTITS.2017.8005596


Ye W, Wackersreuther B, Böhm C, Ewers M, Plant C. IDEA: Integrative Detection of Early-stage Alzheimer's disease. In SDM-DMMH 2016, 5th Workshop on Data Mining for Medicine and Healthcare: May 7, 2016, Miami, FL. 2016. p. 32-40


Showing entries 121 - 138 out of 138