Daniyal Kazempour

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Arbitrarily Oriented

Top Venues

Publications

Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
Enhancing cluster analysis via topological manifold learning. Data Min. Knowl. Discov. 38 (3) (2024)
Lisa Anders, Daniyal Kazempour, Peer Kröger
What Will I Need this for Later? Towards a Platform for the Discovery of Intra and Inter-Module Content Relations. CSEDU (2) (2024)
Andrea Göhring, Mirjam Bayer, Daniyal Kazempour, Sweety Mohanty, Claudius Zelenka
Data Fusion Between Land and Sea: Multi-Isotope Fingerprints of Viking Animals and Modern Plants. MDM (2024)
Daniyal Kazempour, Claudius Zelenka, Peer Kröger
The Missing Link? On the In-Between Instance Detection Task. EDBT (2024)
Mirjam Bayer, Daniyal Kazempour, Peer Kröger
Towards a fixed-gear AIS trajectory differentiation. SSTD (2023)
Sweety Mohanty, Daniyal Kazempour, Lavinia Patara, Peer Kröger
Detection and Tracking of Dynamic Ocean Carbon Uptake Regimes Built Upon Spatial Target-Driver Relationships via Adaptive Hierarchical Clustering. e-Science (2023)
Mirjam Bayer, Tabea Fry, Sören Dethlefsen, Daniyal Kazempour
Pipeline for open AIS data with filtering based on vessel class. GeoWildLife@SIGSPATIAL (2023)
Sweety Mohanty, Daniyal Kazempour, Lavinia Patara, Peer Kröger
Interactive Detection and Visualization of Ocean Carbon Regimes. SSTD (2023)
Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger
A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks. ICCV (Workshops) (2023)
Daniyal Kazempour, Melanie Oelker, Peer Kröger
Doing groceries again: towards a recommender system for grocery stores selection. LocalRec@SIGSPATIAL (2022)
Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder, Peer Kröger
CoMadOut - A Robust Outlier Detection Algorithm based on CoMAD. CoRR (2022)
Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
Enhancing cluster analysis via topological manifold learning. CoRR (2022)
Daniyal Kazempour, Johannes Winter, Peer Kröger, Thomas Seidl
On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters. Datenbank-Spektrum 21 (3) (2021)
Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl
Compound Segmentation via Clustering on Mol2Vec-based Embeddings. e-Science (2021)
Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. ICDM (Workshops) (2020)
Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. PAKDD (1) (2020)
Daniyal Kazempour, Long Mathias Yan, Peer Kröger, Thomas Seidl
You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. ICDM (Workshops) (2020)
Daniyal Kazempour, Peer Kröger, Thomas Seidl
Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. ICDM (Workshops) (2020)
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
AMTICS: Aligning Micro-clusters to Identify Cluster Structures. DASFAA (1) (2020)
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. Data Sci. Eng. 5 (4) (2020)
Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl
Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. LWDA (2020)
Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl
Human Learning in Data Science. HCI (34) (2019)
Daniyal Kazempour, Lisa Krombholz, Peer Kröger, Thomas Seidl
A Galaxy of Correlations. EDBT (2019)
Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl
LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. SSDBM (2019)
Daniyal Kazempour, Thomas Seidl
Insights into a running clockwork: On interactive process-aware clustering. EDBT (2019)
Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl
CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA. LWDA (2019)
Daniyal Kazempour, Maksim Kazakov, Peer Kröger, Thomas Seidl
DICE: Density-based Interactive Clustering and Exploration. BTW (2019)
Daniyal Kazempour, Thomas Seidl
On systematic hyperparameter analysis through the example of subspace clustering. SSDBM (2019)
Daniyal Kazempour, Anna Beer, Thomas Seidl
Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. HCI (34) (2019)
Anna Beer, Daniyal Kazempour, Thomas Seidl
Rock - Let the points roam to their clusters themselves. EDBT (2019)
Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. SISAP (2019)
Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl
Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm. Distributed Parallel Databases 37 (1) (2019)
Daniyal Kazempour, M. A. X. Hünemörder, Thomas Seidl
On coMADs and Principal Component Analysis. SISAP (2019)
Daniyal Kazempour, Long Mathias Yan, Thomas Seidl
From Covariance to Comode in context of Principal Component Analysis. LWDA (2019)
Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl
Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents. LWDA (2019)
Daniyal Kazempour, Kilian Emmerig, Peer Kröger, Thomas Seidl
Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform. SSDBM (2019)
Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl
FATBIRD: A Tool for Flight and Trajectories Analyses of Birds. eScience (2018)
Daniyal Kazempour, Thomas Seidl
Identifying Entangled Data Points on Iteration Trajectories of Clusterings. LWDA (2018)
Daniyal Kazempour, Kevin Bein, Peer Kröger, Thomas Seidl
D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space. SISAP (2018)
Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl
PARADISO: an interactive approach of parameter selection for the mean shift algorithm. SSDBM (2018)
Daniyal Kazempour, Andrian Mörtlbauer, Peer Kröger, Thomas Seidl
Mirror Mirror on the Wall, What is the Fairest Linear Parameter Space Representation of All? On Representations of Linear Parameter Space in Context of Clustering. LWDA (2018)
Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl
Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. SSDBM (2017)
Kai Blin, Marnix H. Medema, Daniyal Kazempour, Michael A. Fischbach, Rainer Breitling, Eriko Takano, Tilmann Weber
antiSMASH 2.0 - a versatile platform for genome mining of secondary metabolite producers. Nucleic Acids Res. 41 (Webserver-Issue) (2013)