Daniyal Kazempour

According to our database, Daniyal Kazempour authored at least 43 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CoMadOut - a robust outlier detection algorithm based on CoMAD.

Andreas Lohrer, Daniyal Kazempour, Maximilian Hünemörder, Peer Kröger

Mach. Learn., October, 2024

Enhancing cluster analysis via topological manifold learning.

Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger

Data Min. Knowl. Discov., May, 2024

<i>k</i>-local Graphs.

Christian Beth, Pamela Fleischmann, Annika Huch, Daniyal Kazempour, Peer Kröger, Andrea Kulow, Matthias Renz

CoRR, 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

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

The Missing Link? On the In-Between Instance Detection Task.

Daniyal Kazempour, Claudius Zelenka, Peer Kröger

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

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

Proceedings of the 16th International Conference on Computer Supported Education, 2024

2023

Interactive Detection and Visualization of Ocean Carbon Regimes.

Sweety Mohanty, Daniyal Kazempour, Lavinia Patara, Peer Kröger

Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023

Towards a fixed-gear AIS trajectory differentiation.

Mirjam Raffaela Bayer, Daniyal Kazempour, Peer Kröger

Proceedings of the 18th International Symposium on Spatial and Temporal Data, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Pipeline for open AIS data with filtering based on vessel class.

Mirjam Bayer, Tabea Fry, Sören Dethlefsen, Daniyal Kazempour

Proceedings of the 1st ACM SIGSPATIAL International Workshop on AI-driven Spatio-temporal Data Analysis for Wildlife Conservation, 2023

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

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Doing groceries again: towards a recommender system for grocery stores selection.

Daniyal Kazempour, Melanie Oelker, Peer Kröger

Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2022

2021

On Methods and Measures for the Inspection of Arbitrarily Oriented Subspace Clusters.

Daniyal Kazempour, Johannes Winter, Peer Kröger, Thomas Seidl

Datenbank-Spektrum, 2021

Compound Segmentation via Clustering on Mol2Vec-based Embeddings.

Daniyal Kazempour, Anna Beer, Melanie Oelker, Peer Kröger, Thomas Seidl

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS.

Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl

Data Sci. Eng., 2020

Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform.

Felix Borutta, Daniyal Kazempour, Felix Mathy, Peer Kröger, Thomas Seidl

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data.

Anna Beer, Daniyal Kazempour, Julian Busch, Alexander Tekles, Thomas Seidl

Proceedings of the Conference "Lernen, 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

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering.

Daniyal Kazempour, Peer Kröger, Thomas Seidl

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering.

Daniyal Kazempour, Anna Beer, Peer Kröger, Thomas Seidl

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

AMTICS: Aligning Micro-clusters to Identify Cluster Structures.

Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Detecting global hyperparaboloid correlated clusters: a Hough-transform based multicore algorithm.

Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl

Distributed Parallel Databases, 2019

Detecting Global Periodic Correlated Clusters in Event Series based on Parameter Space Transform.

Daniyal Kazempour, Kilian Emmerig, Peer Kröger, Thomas Seidl

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

On systematic hyperparameter analysis through the example of subspace clustering.

Daniyal Kazempour, Thomas Seidl

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

LUCK- Linear Correlation Clustering Using Cluster Algorithms and a kNN based Distance Function.

Anna Beer, Daniyal Kazempour, Lisa Stephan, Thomas Seidl

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

On coMADs and Principal Component Analysis.

Daniyal Kazempour, Max Hünemörder, Thomas Seidl

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

SIDEKICK: Linear Correlation Clustering with Supervised Background Knowledge.

Maximilian Archimedes Xaver Hünemörder, Daniyal Kazempour, Peer Kröger, Thomas Seidl

Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

From Covariance to Comode in context of Principal Component Analysis.

Daniyal Kazempour, Long Mathias Yan, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents.

Daniyal Kazempour, Anna Beer, Oliver Schrüfer, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.

Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour, Thomas Seidl

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data.

Daniyal Kazempour, Anna Beer, Thomas Seidl

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

Human Learning in Data Science.

Anna Beer, Daniyal Kazempour, Marcel Baur, Thomas Seidl

Proceedings of the HCI International 2019 - Posters - 21st International Conference, 2019

A Galaxy of Correlations.

Daniyal Kazempour, Lisa Krombholz, Peer Kröger, Thomas Seidl

Proceedings of the Advances in Database Technology, 2019

Insights into a running clockwork: On interactive process-aware clustering.

Daniyal Kazempour, Thomas Seidl

Proceedings of the Advances in Database Technology, 2019

Rock - Let the points roam to their clusters themselves.

Anna Beer, Daniyal Kazempour, Thomas Seidl

Proceedings of the Advances in Database Technology, 2019

DICE: Density-based Interactive Clustering and Exploration.

Daniyal Kazempour, Maksim Kazakov, Peer Kröger, Thomas Seidl

Proceedings of the Datenbanksysteme für Business, 2019

2018

PARADISO: an interactive approach of parameter selection for the mean shift algorithm.

Daniyal Kazempour, Anna Beer, Johannes-Y. Lohrer, Daniel Kaltenthaler, Thomas Seidl

Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

D-MASC: A Novel Search Strategy for Detecting Regions of Interest in Linear Parameter Space.

Daniyal Kazempour, Kevin Bein, Peer Kröger, Thomas Seidl

Proceedings of the Similarity Search and Applications - 11th International Conference, 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

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Identifying Entangled Data Points on Iteration Trajectories of Clusterings.

Daniyal Kazempour, Thomas Seidl

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

FATBIRD: A Tool for Flight and Trajectories Analyses of Birds.

Daniyal Kazempour, Anna Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, Thomas Seidl

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Detecting Global Hyperparaboloid Correlated Clusters Based on Hough Transform.

Daniyal Kazempour, Markus Mauder, Peer Kröger, Thomas Seidl

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

2013

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