antiSMASH 2.0 - a versatile platform for genome mining of secondary metabolite producers. - Kai Blin; Marnix H. Medema; Daniyal Kazempour; Michael A. Fischbach; Rainer Breitling; Eriko Takano; Tilmann Weber (Nucleic Acids Res., 2013)

Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform. - Daniyal Kazempour; Markus Mauder 001; Peer Kröger; Thomas Seidl 001 (SSDBM, 2017)

FATBIRD: A Tool for Flight and Trajectories Analyses of Birds. - Daniyal Kazempour; Anna Beer 001; Friederike Herzog; Daniel Kaltenthaler; Johannes-Y. Lohrer; Thomas Seidl 001 (eScience, 2018)

Identifying Entangled Data Points on Iteration Trajectories of Clusterings. - Daniyal Kazempour; Thomas Seidl 001 (LWDA, 2018)

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. - Daniyal Kazempour; Andrian Mörtlbauer; Peer Kröger; Thomas Seidl 001 (LWDA, 2018)

D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space. - Daniyal Kazempour; Kevin Bein; Peer Kröger; Thomas Seidl 001 (SISAP, 2018)

PARADISO: an interactive approach of parameter selection for the mean shift algorithm. - Daniyal Kazempour; Anna Beer 001; Johannes-Y. Lohrer; Daniel Kaltenthaler; Thomas Seidl 001 (SSDBM, 2018)

DICE: Density-based Interactive Clustering and Exploration. - Daniyal Kazempour; Maksim Kazakov; Peer Kröger; Thomas Seidl 001 (BTW, 2019)

Rock - Let the points roam to their clusters themselves. - Anna Beer 001; Daniyal Kazempour; Thomas Seidl 001 (EDBT, 2019)

Insights into a running clockwork: On interactive process-aware clustering. - Daniyal Kazempour; Thomas Seidl 001 (EDBT, 2019)

A Galaxy of Correlations. - Daniyal Kazempour; Lisa Krombholz; Peer Kröger; Thomas Seidl 001 (EDBT, 2019)

Human Learning in Data Science. - Anna Beer 001; Daniyal Kazempour; Marcel Baur; Thomas Seidl 001 (HCI (34), 2019)

Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. - Daniyal Kazempour; Anna Beer 001; Thomas Seidl 001 (HCI (34), 2019)

CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA. - Maximilian Archimedes Xaver Hünemörder; Anna Beer 001; Daniyal Kazempour; Thomas Seidl 001 (LWDA, 2019)

Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents. - Daniyal Kazempour; Anna Beer 001; Oliver Schrüfer; Thomas Seidl 001 (LWDA, 2019)

From Covariance to Comode in context of Principal Component Analysis. - Daniyal Kazempour; Long Mathias Yan; Thomas Seidl 001 (LWDA, 2019)

SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge. - Maximilian Archimedes Xaver Hünemörder; Daniyal Kazempour; Peer Kröger; Thomas Seidl 001 (SISAP, 2019)

On coMADs and Principal Component Analysis. - Daniyal Kazempour; Max Hünemörder; Thomas Seidl 001 (SISAP, 2019)

LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function. - Anna Beer 001; Daniyal Kazempour; Lisa Stephan; Thomas Seidl 001 (SSDBM, 2019)

On systematic hyperparameter analysis through the example of subspace clustering. - Daniyal Kazempour; Thomas Seidl 001 (SSDBM, 2019)

Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform. - Daniyal Kazempour; Kilian Emmerig; Peer Kröger; Thomas Seidl 001 (SSDBM, 2019)

Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm. - Daniyal Kazempour; Markus Mauder 001; Peer Kröger; Thomas Seidl 001 (Distributed Parallel Databases, 2019)

AMTICS: Aligning Micro-clusters to Identify Cluster Structures. - Florian Richter 001; Yifeng Lu; Daniyal Kazempour; Thomas Seidl 001 (DASFAA (1), 2020)

I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering. - Daniyal Kazempour; Anna Beer 001; Peer Kröger; Thomas Seidl 001 (ICDM (Workshops), 2020)

Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering. - Daniyal Kazempour; Peer Kröger; Thomas Seidl 001 (ICDM (Workshops), 2020)

You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters. - Daniyal Kazempour; Long Mathias Yan; Peer Kröger; Thomas Seidl 001 (ICDM (Workshops), 2020)

Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data. - Anna Beer 001; Daniyal Kazempour; Julian Busch; Alexander Tekles; Thomas Seidl 001 (LWDA, 2020)

Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. - Felix Borutta; Daniyal Kazempour; Felix Mathy; Peer Kröger; Thomas Seidl 001 (PAKDD (1), 2020)

"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. - Florian Richter 001; Yifeng Lu; Daniyal Kazempour; Thomas Seidl 001 (Data Sci. Eng., 2020)

Compound Segmentation via Clustering on Mol2Vec-based Embeddings. - Daniyal Kazempour; Anna Beer 001; Melanie Oelker; Peer Kröger; Thomas Seidl 001 (e-Science, 2021)

On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters. - Daniyal Kazempour; Johannes Winter; Peer Kröger; Thomas Seidl 001 (Datenbank-Spektrum, 2021)

Doing groceries again: towards a recommender system for grocery stores selection. - Daniyal Kazempour; Melanie Oelker; Peer Kröger (LocalRec@SIGSPATIAL, 2022)

Detection and Tracking of Dynamic Ocean Carbon Uptake Regimes Built Upon Spatial Target-Driver Relationships via Adaptive Hierarchical Clustering. - Sweety Mohanty; Daniyal Kazempour; Lavinia Patara; Peer Kröger (e-Science, 2023)

Pipeline for open AIS data with filtering based on vessel class. - Mirjam Bayer; Tabea Fry; Sören Dethlefsen; Daniyal Kazempour (GeoWildLife@SIGSPATIAL, 2023)

A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks. - Claudius Zelenka; Andrea Göhring; Daniyal Kazempour; Maximilian Hünemörder; Lars Schmarje; Peer Kröger (ICCV (Workshops), 2023)

Towards a fixed-gear AIS trajectory differentiation. - Mirjam Raffaela Bayer; Daniyal Kazempour; Peer Kröger (SSTD, 2023)

Interactive Detection and Visualization of Ocean Carbon Regimes. - Sweety Mohanty; Daniyal Kazempour; Lavinia Patara; Peer Kröger (SSTD, 2023)

What Will I Need this for Later? Towards a Platform for the Discovery of Intra and Inter-Module Content Relations. - Lisa Anders; Daniyal Kazempour; Peer Kröger (CSEDU (2), 2024)

The Missing Link? On the In-Between Instance Detection Task. - Daniyal Kazempour; Claudius Zelenka; Peer Kröger (EDBT, 2024)

Do good scores imply good embeddings? On the necessity of inspecting manifold learning evaluation results by multiple criteria. - Daniyal Kazempour; Claudius Zelenka; Atakan Kara 002; Andreas Lohrer; Peer Kröger (ICDM (Workshops), 2024)

Not the same, yet similar? - On commonalities and differences between VQPCA and ORCLUS. - Daniyal Kazempour; Claudius Zelenka; Artjom Mukhamedov; Peer Kröger (ICDM (Workshops), 2024)

Data Fusion Between Land and Sea: Multi-Isotope Fingerprints of Viking Animals and Modern Plants. - Andrea Göhring; Mirjam Bayer; Daniyal Kazempour; Sweety Mohanty; Claudius Zelenka (MDM, 2024)

k-local Graphs. - Christian Beth; Pamela Fleischmann; Annika Huch; Daniyal Kazempour; Peer Kröger; Andrea Kulow; Matthias Renz (CoRR, 2024)

Enhancing cluster analysis via topological manifold learning. - Moritz Herrmann; Daniyal Kazempour; Fabian Scheipl; Peer Kröger (Data Min. Knowl. Discov., 2024)

CoMadOut - a robust outlier detection algorithm based on CoMAD. - Andreas Lohrer; Daniyal Kazempour; Maximilian Hünemörder; Peer Kröger (Mach. Learn., 2024)

Position Paper: Computer Supported Education vs. Education Supported Computing - On the Problem of Informed Decision Making of Appropriate Data Analytics Method. - Daniyal Kazempour; Christiane Attig; Peer Kröger; Muhammad Aammar Tufail; Daniela E. Winkler; Claudius Zelenka (CSEDU (2), 2025)

k-Local Graphs. - Christian Beth; Pamela Fleischmann; Annika Huch; Daniyal Kazempour; Peer Kröger; Andrea Kulow; Matthias Renz (DCFS, 2025)