News

26.11.2020

Vacancy: PostDoc in the area of Machine Learning and Data Analytics (f/m/d)

We are looking for talented and highly motivated computer scientists (or people with a related background) interested in the design, development, and analysis of novel machine learning methods. more
25.11.2020

Accepted paper at EDBT 2021

KISS - A fast kNN-based Importance Score for Subspaces more
07.11.2020

Our new Innovation Lab website is online
06.11.2020

Accepted short paper at WI-IAT 2020

Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation more
06.11.2020

Accepted paper at WI-IAT 2020

Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions more
06.11.2020

Accepted paper at NeurIPS 2020 Workshop SSL 2020

Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering more
06.11.2020

Accepted short paper at WI-IAT 2020

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods more
06.11.2020

Accepted paper at iiWAS 2020

KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection more
22.10.2020

Accepted paper at ACM SIGSPATIAL 2020 Workshop IWCTS 2020

Quantifying the Potential of Data-Driven Mobility Support System more
08.10.2020

Accepted paper at Space Weather Journal

Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model more
08.10.2020

Accepted paper at EMNLP 2020

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion more
08.10.2020

Keynote talk at ICPM 2020

Data Mining on Process Data more
08.10.2020

Accepted paper at EMNLP 2020

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing more
08.10.2020

Accepted paper at Astrophysical Journal

Prediction and understanding of soft proton contamination in XMM-Newton: a machine learning approach more
24.09.2020

Accepted paper at ICDM 2020 Workshop HDM'20

You see a set of wagons - I see one train: Towards a unified view of local and global arbitrarily oriented subspace clusters more
24.09.2020

Accepted paper at ICPM 2020 Workshop SA4PM 2020

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation more
24.09.2020

Accepted paper at ICPM 2020 Workshop SA4PM 2020

Performance Skyline: Inferring Process Performance Models from Interval Events more
24.09.2020

Accepted paper at ICPM 2020 Workshop SA4PM 2020

OTOSO: Online Trace Ordering for Structural Overviews more
24.09.2020

Accepted paper at ICDM 2020 Workshop HDM'20

Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering more
24.09.2020

Accepted paper at ICDM 2020 Workshop HDM'20

I fold you so! An internal evaluation measure for arbitrary oriented subspace clustering more
03.09.2020

Accepted paper at CIKM 2020 Workshop KDAH

Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels more
13.08.2020

Accepted paper at ICPM 2020

TOAD: Trace Ordering for Anomaly Detection more
13.08.2020

Accepted paper at SISAP 2020

Angle-Based Clustering more
30.07.2020

Accepted paper at LWDA 2020

Grace - Limiting the Number of Grid Cells for Clustering High-Dimensional Data more
30.07.2020

Accepted article at DSE (Data Science and Engineering)

Show me the crowds! Revealing Cluster Structures through AMTICS more
29.07.2020

MCML Workshop
02.07.2020

Accepted paper at ICPR 2020

Improving Visual Relation Detection using Depth Maps more
02.07.2020

Announcement PyKEEN 1.0

As a member of the PyKEEN community project, we are happy to announce PyKEEN 1.0 – PyKEEN is a software package to train and evaluate knowledge graph embedding models. more
02.07.2020

Accepted article at eLife

A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes more
28.05.2020

Accepted short vision paper at SSDBM 2020

Orderings of Data - more than a Tripping Hazard more
28.05.2020

Accepted journal paper at DB-Spektrum

Relational and Fine-Grained Argument Mining more
28.05.2020

Accepted paper at BPM 2020

TADE: Stochastic Conformance Checking using Temporal Activity Density Estimation more
28.05.2020

Preprint at ESSOAr

Medium Energy Electron Flux in Earth's Outer Radiation Belt (MERLIN): A Machine Learning Model more
07.05.2020

Accepted article at remote sensing

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network more
23.04.2020

Accepted paper at IJCAI 2020

Semi-Markov Reinforcement Learning for Stochastic Resource Collection more
23.04.2020

Accepted journal paper in Quantitative Science Studies (MIT Journal)

Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research more
09.04.2020

Accepted demo paper at MDM 2020

SMART-Env more
26.03.2020

Accepted extended abstract at DL4G@WWW 2020

Active Learning for Entity Alignment more
26.03.2020

Accepted extended abstract at DL4G@WWW 2020

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank more
26.03.2020

Accepted paper at IJCNN 2020

k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity more
27.02.2020

Accepted paper at DASFAA 2020

AMTICS: Aligning Micro-clusters To Identify Cluster Structures more
06.02.2020

Accepted paper at PAKDD 2020

Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform more
06.02.2020

New paper on arXiv and deepai

Unsupervised Anomaly Detection for X-Ray Images more
06.02.2020

New paper on arXiv

Active Learning for Entity Alignment more
06.02.2020

New paper on arXiv

A Critical Assessment of State-of-the-Art in Entity Alignment more
20.12.2019

MCML Upgrade
19.12.2019

Accepted Paper at ECIR 2020 reproducibility track

Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned more

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