Daniyal Kazempour

50 papers B 18Misc 1Journal 8Unranked 23
YearRankTypeTitle / Venue / Authors
2025 — conf
Anomalies In The Depths: Evaluating Unsupervised Anomaly Detection on Real-World Unlabelled Data. A Case Study on Autonomous Ocean Gliders.
GeoAnomalies@SIGSPATIAL
Federico Scarscelli, Claudius Zelenka, Daniyal Kazempour, Peer Kröger, Florian Schütte
2025 — conf
Position Paper: Computer Supported Education vs. Education Supported Computing - On the Problem of Informed Decision Making of Appropriate Data Analytics Method.
CSEDU (2)
Daniyal Kazempour, Christiane Attig, Peer Kröger, Muhammad Aammar Tufail, Daniela E. Winkler, Claudius Zelenka
2025 — conf
k-Local Graphs.
DCFS
Christian Beth, Pamela Fleischmann, Annika Huch, Daniyal Kazempour, Peer Kröger, Andrea Kulow, Matthias Renz
2024 J jnl
CoMadOut - a robust outlier detection algorithm based on CoMAD.
Mach. Learn.
Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder, Peer Kröger
2024 B conf
Data Fusion Between Land and Sea: Multi-Isotope Fingerprints of Viking Animals and Modern Plants.
MDM
Andrea Göhring, Mirjam Bayer, Daniyal Kazempour, Sweety Mohanty, Claudius Zelenka
2024 — conf
Do good scores imply good embeddings? On the necessity of inspecting manifold learning evaluation results by multiple criteria.
ICDM (Workshops)
Daniyal Kazempour, Claudius Zelenka, Atakan Kara, Andreas Lohrer, Peer Kröger
2024 J jnl
Enhancing cluster analysis via topological manifold learning.
Data Min. Knowl. Discov.
Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
2024 — conf
Not the same, yet similar? - On commonalities and differences between VQPCA and ORCLUS.
ICDM (Workshops)
Daniyal Kazempour, Claudius Zelenka, Artjom Mukhamedov, Peer Kröger
2024 B conf
The Missing Link? On the In-Between Instance Detection Task.
EDBT
Daniyal Kazempour, Claudius Zelenka, Peer Kröger
2024 — conf
What Will I Need this for Later? Towards a Platform for the Discovery of Intra and Inter-Module Content Relations.
CSEDU (2)
Lisa Anders, Daniyal Kazempour, Peer Kröger
2023 — conf
A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks.
ICCV (Workshops)
Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger
2023 B conf
Detection and Tracking of Dynamic Ocean Carbon Uptake Regimes Built Upon Spatial Target-Driver Relationships via Adaptive Hierarchical Clustering.
e-Science
Sweety Mohanty, Daniyal Kazempour, Lavinia Patara, Peer Kröger
2023 B conf
Interactive Detection and Visualization of Ocean Carbon Regimes.
SSTD
Sweety Mohanty, Daniyal Kazempour, Lavinia Patara, Peer Kröger
2023 — conf
Pipeline for open AIS data with filtering based on vessel class.
GeoWildLife@SIGSPATIAL
Mirjam Bayer, Tabea Fry, Sören Dethlefsen, Daniyal Kazempour
2023 B conf
Towards a fixed-gear AIS trajectory differentiation.
SSTD
Mirjam Raffaela Bayer, Daniyal Kazempour, Peer Kröger
2022 J jnl
CoMadOut - A Robust Outlier Detection Algorithm based on CoMAD.
CoRR
Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder, Peer Kröger
2022 — conf
Doing groceries again: towards a recommender system for grocery stores selection.
LocalRec@SIGSPATIAL
Daniyal Kazempour, Melanie Oelker, Peer Kröger
2022 J jnl
Enhancing cluster analysis via topological manifold learning.
CoRR
Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
2021 B conf
Compound Segmentation via Clustering on Mol2Vec-based Embeddings.
e-Science
Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl
2021 J jnl
On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters.
Datenbank-Spektrum
Daniyal Kazempour, Johannes Winter, Peer Kröger, Thomas Seidl
2021 B ed.
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings
SISAP
Nora Reyes, Richard Connor, Nils M. Kriege, Daniyal Kazempour, Ilaria Bartolini, Erich Schubert, Jian-Jia Chen
2020 J jnl
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS.
Data Sci. Eng.
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
2020 — conf
AMTICS: Aligning Micro-clusters to Identify Cluster Structures.
DASFAA (1)
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
2020 — conf
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform.
PAKDD (1)
Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl
2020 — conf
Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data.
LWDA
Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl
2020 — conf
I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering.
ICDM (Workshops)
Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl
2020 — conf
Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering.
ICDM (Workshops)
Daniyal Kazempour, Peer Kröger, Thomas Seidl
2020 — conf
You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters.
ICDM (Workshops)
Daniyal Kazempour, Long Mathias Yan, Peer Kröger, Thomas Seidl
2019 B conf
A Galaxy of Correlations.
EDBT
Daniyal Kazempour, Lisa Krombholz, Peer Kröger, Thomas Seidl
2019 — conf
CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.
LWDA
Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl
2019 — conf
Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.
LWDA
Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl
2019 Misc conf
DICE: Density-based Interactive Clustering and Exploration.
BTW
Daniyal Kazempour, Maksim Kazakov, Peer Kröger, Thomas Seidl
2019 — conf
Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data.
HCI (34)
Daniyal Kazempour, Anna Beer, Thomas Seidl
2019 B conf
Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform.
SSDBM
Daniyal Kazempour, Kilian Emmerig, Peer Kröger, Thomas Seidl
2019 J jnl
Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm.
Distributed Parallel Databases
Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl
2019 — conf
From Covariance to Comode in context of Principal Component Analysis.
LWDA
Daniyal Kazempour, Long Mathias Yan, Thomas Seidl
2019 — conf
Human Learning in Data Science.
HCI (34)
Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl
2019 B conf
Insights into a running clockwork: On interactive process-aware clustering.
EDBT
Daniyal Kazempour, Thomas Seidl
2019 B conf
LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function.
SSDBM
Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl
2019 B conf
On coMADs and Principal Component Analysis.
SISAP
Daniyal Kazempour, Max Hünemörder, Thomas Seidl
2019 B conf
On systematic hyperparameter analysis through the example of subspace clustering.
SSDBM
Daniyal Kazempour, Thomas Seidl
2019 B conf
Rock - Let the points roam to their clusters themselves.
EDBT
Anna Beer, Daniyal Kazempour, Thomas Seidl
2019 B conf
SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge.
SISAP
Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl
2018 B conf
D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space.
SISAP
Daniyal Kazempour, Kevin Bein, Peer Kröger, Thomas Seidl
2018 — conf
FATBIRD: A Tool for Flight and Trajectories Analyses of Birds.
eScience
Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl
2018 — conf
Identifying Entangled Data Points on Iteration Trajectories of Clusterings.
LWDA
Daniyal Kazempour, Thomas Seidl
2018 — conf
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
Daniyal Kazempour, Andrian Mörtlbauer, Peer Kröger, Thomas Seidl
2018 B conf
PARADISO: an interactive approach of parameter selection for the mean shift algorithm.
SSDBM
Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl
2017 B conf
Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform.
SSDBM
Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl
2013 J jnl
antiSMASH 2.0 - a versatile platform for genome mining of secondary metabolite producers.
Nucleic Acids Res.
Kai Blin, Marnix H. Medema, Daniyal Kazempour, Michael A. Fischbach, Rainer Breitling, Eriko Takano, Tilmann Weber