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Daniyal Kazempour
Daniyal Kazempour
Postdoc, CAU Kiel
Verified email at informatik.uni-kiel.de
Title
Cited by
Cited by
Year
antiSMASH 2.0—a versatile platform for genome mining of secondary metabolite producers
K Blin, MH Medema, D Kazempour, MA Fischbach, R Breitling, E Takano, ...
Nucleic acids research 41 (W1), W204-W212, 2013
9812013
Improved lanthipeptide detection and prediction for antiSMASH
K Blin, D Kazempour, W Wohlleben, T Weber
PLoS One 9 (2), e89420, 2014
622014
FATBIRD: A Tool for Flight and Trajectories Analyses of Birds
TS D. Kazempour, A. Beer, F. Herzog, D. Kaltenthaler, J.-Y. Lohrer
2018 IEEE 14th International Conference on e-Science (e-Science), 2018
102018
Detecting global hyperparaboloid correlated clusters based on Hough transform
D Kazempour, M Mauder, P Kröger, T Seidl
Proceedings of the 29th International Conference on Scientific and …, 2017
92017
On comads and principal component analysis
D Kazempour, MAX Hünemörder, T Seidl
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
72019
Luck-linear correlation clustering using cluster algorithms and a knn based distance function
A Beer, D Kazempour, L Stephan, T Seidl
Proceedings of the 31st International Conference on Scientific and …, 2019
62019
Enhancing cluster analysis via topological manifold learning
M Herrmann, D Kazempour, F Scheipl, P Kröger
Data Mining and Knowledge Discovery 38 (3), 840-887, 2024
52024
PARADISO: an interactive approach of parameter selection for the mean shift algorithm
D Kazempour, A Beer, JY Lohrer, D Kaltenthaler, T Seidl
Proceedings of the 30th International Conference on Scientific and …, 2018
52018
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering
D Kazempour, A Beer, P Kröger, T Seidl
2020 International Conference on Data Mining Workshops (ICDMW), 316-323, 2020
42020
Rock-Let the points roam to their clusters themselves.
A Beer, D Kazempour, T Seidl
EDBT, 630-633, 2019
42019
D-MASC: A novel search strategy for detecting regions of interest in linear parameter space
D Kazempour, K Bein, P Kröger, T Seidl
Similarity Search and Applications: 11th International Conference, SISAP …, 2018
42018
Similarity Search and Applications: 14th International Conference, SISAP 2021, Dortmund, Germany, September 29–October 1, 2021, Proceedings
N Reyes, R Connor, N Kriege, D Kazempour, I Bartolini, E Schubert, ...
Springer Nature, 2021
32021
Grace-Limiting the Number of Grid Cells for Clustering High-Dimensional Data.
A Beer, D Kazempour, J Busch, A Tekles, T Seidl
LWDA, 11-22, 2020
32020
Sidekick: Linear correlation clustering with supervised background knowledge
MAX Hünemörder, D Kazempour, P Kröger, T Seidl
Similarity Search and Applications: 12th International Conference, SISAP …, 2019
32019
“Show Me the Crowds!” Revealing Cluster Structures Through AMTICS
F Richter, Y Lu, D Kazempour, T Seidl
Data Science and Engineering 5 (4), 360-374, 2020
22020
Towards an internal evaluation measure for arbitrarily oriented subspace clustering
D Kazempour, P Kröger, T Seidl
2020 International Conference on Data Mining Workshops (ICDMW), 300-307, 2020
22020
Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform
D Kazempour, K Emmerig, P Kröger, T Seidl
Proceedings of the 31st International Conference on Scientific and …, 2019
22019
Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm
D Kazempour, M Mauder, P Kröger, T Seidl
Distributed and Parallel Databases 37 (1), 39-72, 2019
22019
CODEC-Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.
MAX Hünemörder, A Beer, D Kazempour, T Seidl
LWDA, 111-114, 2019
22019
Insights into a running clockwork: On interactive process-aware clustering.
D Kazempour, T Seidl
EDBT, 706-709, 2019
22019
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Articles 1–20