Name Venue Year citations
Going Offline: An Evaluation of the Offline Phase in Stream Clustering. ECML/PKDD 2025 0
DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-learning. PAKDD 2025 1
MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection. ICDM 2025 0
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos. CVPR 2025 0
FALCUN: A Simple and Efficient Deep Active Learning Strategy. ECML/PKDD 2024 0
On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises. PAKDD 2024 0
Autoregressive Policy Optimization for Constrained Allocation Tasks. NIPS/NeurIPS 2024 0
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. ECML/PKDD 2024 6
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos. ECCV 2024 0
How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning. ECML/PKDD 2023 2
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. ECML/PKDD 2023 1
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. PAKDD 2023 2
InstanceFormer: An Online Video Instance Segmentation Framework. AAAI 2023 0
Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN 2023 0
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. ECAI 2023 0
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. ECML/PKDD 2022 4
VERIPS: Verified Pseudo-label Selection for Deep Active Learning. ICDM 2022 3
Argument Mining Driven Analysis of Peer-Reviews. AAAI 2021 0
Diversity Aware Relevance Learning for Argument Search. ECIR 2021 0
Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform. PAKDD 2020 0
PushNet: Efficient and Adaptive Neural Message Passing. ECAI 2020 12
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. IJCNN 2020 3
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR 2020 0
Human Learning in Data Science. HCI 2019 0
Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data. HCI 2019 1
Infusing Geo-Recency Mixture Models for Effective Location Prediction in LBSN. SDM 2016 5
Normalized Semantic Web Distance. ESWC 2016 1
Effect of Heuristics on Serendipity in Path-Based Storytelling with Linked Data. HCI 2016 7
Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining. ICDM 2016 22
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases. CIKM 2015 5
UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN. ECML/PKDD 2015 1
MultiClust special issue on discovering, summarizing and using multiple clusterings. MLJ 2015 0
Efficient Filter Approximation Using the Earth Mover's Distance in Very Large Multimedia Databases with Feature Signatures. CIKM 2014 23
Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD 2014 20
Check-in Location Prediction Using Wavelets and Conditional Random Fields. ICDM 2014 19
SMVC: semi-supervised multi-view clustering in subspace projections. KDD 2014 34
Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors. PAKDD 2013 47
Adaptive Model Tree for Streaming Data. ICDM 2013 2
Detecting and exploring clusters in attributed graphs: a plugin for the gephi platform. CIKM 2013 12
Spectral Subspace Clustering for Graphs with Feature Vectors. ICDM 2013 66
Effective and Robust Mining of Temporal Subspace Clusters. ICDM 2012 7
A tool for automated evaluation of algorithms. CIKM 2012 0
Multi-view clustering using mixture models in subspace projections. KDD 2012 36
Finding density-based subspace clusters in graphs with feature vectors. DMKD 2012 4
Tracing Evolving Subspace Clusters in Temporal Climate Data. DMKD 2012 24
Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. PAKDD 2012 7
Tracing clusters in evolving graphs with node attributes. CIKM 2012 9
Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. KDD 2012 17
CC-MR - Finding Connected Components in Huge Graphs with MapReduce. ECML/PKDD 2012 35
Mining coherent subgraphs in multi-layer graphs with edge labels. KDD 2012 0
Modeling image similarity by Gaussian mixture models and the Signature Quadratic Form Distance. ICCV 2011 45
An effective evaluation measure for clustering on evolving data streams. KDD 2011 105
MOA: A Real-Time Analytics Open Source Framework. ECML/PKDD 2011 56
Tracing Evolving Clusters by Subspace and Value Similarity. PAKDD 2011 15
DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors. ECML/PKDD 2011 63
Scalable density-based subspace clustering. CIKM 2011 25
External evaluation measures for subspace clustering. CIKM 2011 55
Flexible Fault Tolerant Subspace Clustering for Data with Missing Values. ICDM 2011 26
Processing the signature quadratic form distance on many-core GPU architectures. CIKM 2011 11
Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification. PAKDD 2010 5
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data. ICDM 2010 82
Subspace Clustering for Uncertain Data. SDM 2010 36
Subgraph Mining on Directed and Weighted Graphs. PAKDD 2010 16
Adaptive outlierness for subspace outlier ranking. CIKM 2010 37
Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. ICDM 2010 122
SOREX: Subspace Outlier Ranking Exploration Toolkit. ECML/PKDD 2010 0
Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data. ICDM 2009 97
Self-Adaptive Anytime Stream Clustering. ICDM 2009 76
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams. ECML/PKDD 2009 35
Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance. CIKM 2009 4
DensEst: Density Estimation for Data Mining in High Dimensional Spaces. SDM 2009 46
Detection of orthogonal concepts in subspaces of high dimensional data. CIKM 2009 47
Harnessing the strengths of anytime algorithms for constant data streams. DMKD 2009 0
Pleiades: Subspace Clustering and Evaluation. ECML/PKDD 2008 13
INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy. ICDM 2008 111
SubClass: Classification of Multidimensional Noisy Data Using Subspace Clusters. PAKDD 2008 5
Morpheus: interactive exploration of subspace clustering. KDD 2008 43
EDSC: efficient density-based subspace clustering. CIKM 2008 34
DUSC: Dimensionality Unbiased Subspace Clustering. ICDM 2007 146
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. KDD 2005 108
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