Publications

Behzadi Soheil S, Müller N, Plant C, Böhm C. Clustering of Mixed-type Data Considering Concept Hierarchies. In Yang Q, Zhou ZH, Gong Z, Zhang ML, Huang SJ, editors, Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Proceedings: 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Springer. 2019. p. 555-573. (Lecture Notes in Computer Science, Vol. 11439). doi: 10.1007/978-3-030-16148-4_43

Mautz D, Plant C, Böhm C. Deep Embedded Cluster Tree. In 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019. IEEE. 2019. p. 1258-1263

Schelling B, Plant C. DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering. In David K, Geihs K, Lange M, Stumme G, editors, Informatik 2019 : 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft: 23.-26. September 2019 Kassel. Vol. 294. Bonn: Gesellschaft für Informatik e.V. 2019. p. 255-256. (GI-Edition : lecture notes in informatics Proceedings). doi: 10.18420/inf2019_31

Bibinger M, Hautsch N, Malec P, Reiss M. Estimating the Spot Covariation of Asset Prices—Statistical Theory and Empirical Evidence. Journal of Business and Economic Statistics. 2019;37(3):419-435. Epub 2017 Dec 17. doi: 10.1080/07350015.2017.1356728

Bomze I, Rinaldi F, Rota Bulò S. First-order methods for the impatient: support identiﬁcation in ﬁnite time with convergent Frank-Wolfe variants. SIAM Journal on Optimization. 2019;29(3):2211-2226. Epub 2019 Sept 5. doi: 10.1137/18M1206953

Bomze IM, Mertikopoulos P, Schachinger W, Staudigl M. Hessian barrier algorithms for linearly constrained optimization problems. SIAM Journal on Optimization. 2019;29(3):2100–2127. Epub 2019 Aug 27. doi: 10.1137/18M1215682

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: 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: 10.1609/aaai.v33i01.33015041

Cebiroglu G, Hautsch N, Walsh C. Revisiting the Stealth Trading Hypothesis: Does Time-Varying Liquidity Explain the Sitze-Effect? 2019.

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: 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: 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: 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: 10.1109/ICBK.2018.00055

Großschedl JE, Alves J , Meingast S , Ackerl C, Ascenso J, Bouy H et al. 3D shape of Orion A from Gaia DR2. Astronomy & Astrophysics. 2018 Nov 1;619:A106. doi: 10.1051/0004-6361/201833901

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: 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: 10.1007/978-3-319-98648-7_26

Bomze I. On minimal Hölder gaps and Shannon entropy balance. Portugaliae Mathematica. 2018 Jul 5;75(1):1-10. doi: 10.4171/PM/2009

Schmale W. Strategische Optionen für universitäre Repositorien in den Digital Humanities. Mitteilungen der Vereinigung österreichischer Bibliothekarinnen und Bibliothekare. 2018 Jul 1;71(1):21-29. doi: 10.31263/voebm.v71i1.1966

Schmale W. Privatheit im digitalen Zeitalter. Figurationen: Gender, Literatur, Kultur. 2018 Jun 15;19(1):121-133.

Steinberger L , Leeb H. On conditional moments of high-dimensional random vectors given lower-dimensional projections. Bernoulli: a journal of mathematical statistics and probability. 2018 Feb;24(1):565–591. doi: 10.3150/16-BEJ888