Home  | Tags | #p_seidl

#p_seidl

LLS+25a

Human Uncertainty-Aware Reliable Data Selection and Efficient Annotation for Visual Question Answering

ReliableML @NeurIPS 2025

#p_seidl

DJS+25

MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection

ICDM 2025

#p_seidl

RSS+25

MotiVAtor: Analyzing Physical Activity Study Data in Lab and Life Through Visual Analytics

VAHC @VIS 2025

#p_seidl

KTO+25

Introducing K-Traceoids: A Structure-Preserving Trace Clustering Framework

ML4PM @ICPM 2025

#p_seidl

LHC+25

When and Where Do Events Switch in Multi-Event Video Generation?

LongVid-Foundations @ICCV 2025

#p_cremers #p_seidl #p_tresp

CZK+25

LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching

Preprint (Oct. 2025)

#p_seidl

HWW+25

SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-Temporal Video Action Grounding

Preprint (Oct. 2025)

#p_cremers #p_seidl #p_tresp

LLS+25

Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering

Preprint (Oct. 2025)

#p_hedderich #p_schuetze #p_seidl

GTP+25

Towards Trace Variant Explainability

ADBIS 2025

#p_seidl

JDL+25

Going Offline: An Evaluation of the Offline Phase in Stream Clustering

ECML-PKDD 2025

#p_seidl

STS25

Towards Explainable Deep Clustering for Time Series Data

TempXAI @ECML-PKDD 2025

#p_seidl

MFA+25

SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms

Preprint (Sep. 2025)

#p_seidl

AMS+25a

Social Impact of LLMs: The Ups, the Downs and the Uncharted Waters

Preprint (Sep. 2025)

#p_seidl

RFM+25

BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction

BPM 2025

#p_seidl

YLL+25

Enhancing Robustness of Autoregressive Language Models Against Orthographic Attacks via Pixel-Based Approach

Preprint (Aug. 2025)

#p_schuetze #p_seidl

DNP+25

Weakly Supervised Anomaly Detection via Dual-Tailed Kernel

ICML 2025

#p_seidl

XSL+25

Open Source Planning & Control System With Language Agents for Autonomous Scientific Discovery

ML4Astro @ICML 2025

#p_seidl

KMS+25

Which LIME Should I Trust? Concepts, Challenges, and Solutions

XAI 2025

#p_seidl

MK25

Who Owns the Future? Ways to Understand Power, Technology, and the Moral Commons

Preprint (Jul. 2025)

#p_seidl

HIG+25

ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos

CVPR 2025

#p_seidl

ATL+25

DCMatch - Identify Matching Architectures in Deep Clustering Through Meta-Learning

PAKDD 2025

#p_seidl

ZHK+25

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction

Preprint (Jun. 2025)

#p_seidl #p_tresp

CZB+25

Does Machine Unlearning Truly Remove Model Knowledge? a Framework for Auditing Unlearning in LLMs

Preprint (May. 2025)

#p_navab #p_seidl #p_tresp

LFS+25

My Answer Is NOT 'Fair': Mitigating Social Bias in Vision-Language Models via Fair and Biased Residuals

Preprint (May. 2025)

#p_seidl #p_tresp

Gil25

Advances in Deep Active Learning and Synergies With Semi-Supervision

Dissertation LMU München. Feb. 2025

#p_seidl

LFP25

Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA

AAAI 2025

#p_plank #p_seidl

WSB+24

Autoregressive Policy Optimization for Constrained Allocation Tasks

NeurIPS 2024

#p_schubert #p_seidl

LSS+24

Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters

DLC 2024 @ICDM 2024

#p_schubert #p_seidl

BWM+24

SHADE: Deep Density-Based Clustering

ICDM 2024

#p_seidl

HKB+24

GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation

ICPR 2020

#p_schubert #p_seidl #p_tresp

GTB24

Beyond Flattening: Detecting Concurrency Anomalies Using K-NN Graph-Based Modeling in Object-Centric Event Logs

DATAMOD @SEFM 2024

#p_seidl

BHS+24

Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images

ECAI 2024

#p_schubert #p_seidl

MAF+24

IGEDI: Interactive Generating Event Data With Intentional Features

Demo Tracks @ICPM 2024

#p_seidl

Mal24

Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks

Doctoral Consortium @ICPM 2024

#p_seidl

RFZ+24

Process-Aware Bayesian Networks for Sequential Event Log Queries

ICPM 2024

#p_seidl

XZT+24

CC-HIT: Creating Counterfactuals From High-Impact Transitions

ML4PM @ICPM 2024

#p_seidl

HIS+24

RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos

ECCV 2024

#p_seidl

DLT+24

Benchmarking AutoML Clustering Frameworks

AutoML 2024 - ABCD Track

#p_seidl

GBM+24

FALCUN: A Simple and Efficient Deep Active Learning Strategy

ECML-PKDD 2024

#p_seidl #p_tresp

JFB+24

Data With Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms

ECML-PKDD 2024

#p_seidl

CLM24

Effects of Similarity Measures and Assignment Methods on Mode Pairing for the Application of Timber Plates

ISMA 2024

#p_seidl

MFT+24

GEDI: Generating Event Data With Intentional Features for Benchmarking Process Mining

BPM 2024

#p_seidl

OTJ+24

CoSMo: A Framework to Instantiate Conditioned Process Simulation Models

BPM 2024

#p_seidl

SDM+24

Problem-Oriented AutoML in Clustering

Preprint (Sep. 2024)

#p_seidl

SLW+24

Differentiable Almost Everything @ICML 2024

#p_seidl #p_tresp

APT+24

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles

XAI 2024

#p_seidl

OTJ+24a

CAiSE 2024

#p_seidl

MWG+24

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data

Preprint (Jun. 2024)

#p_huellermeier #p_seidl

SML+24

Text-Guided Alternative Image Clustering

Preprint (Jun. 2024)

#p_seidl

BPM+24

DROPP: Structure-Aware PCA for Ordered Data

ICDE 2024

#p_seidl

ZRS+24

On Diverse and Precise Recommendations for Small and Medium-Sized Enterprises

PAKDD 2024

#p_seidl

LKH+24

CoMadOut—a Robust Outlier Detection Algorithm Based on CoMAD

Machine Learning 113. May. 2024

#p_seidl

Lei24

Clustering in Transformed Feature Spaces by Analyzing Distinct Modes

Dissertation LMU München. Apr. 2024

#p_seidl

GTD+24

Automated Trace Clustering Pipeline Synthesis in Process Mining

Information 15.4. Apr. 2024

#p_seidl

LMP+23a

Benchmarking Deep Clustering Algorithms With ClustPy

Workshop @ICDM 2023

#p_seidl

MTO+23

FEEED: Feature Extraction From Event Data

Doctoral Consortium @ICPM 2023

#p_seidl

MZS+23

Process Mining Techniques for Collusion Detection in Online Exams

EduPM @ICPM 2023

#p_seidl

LMP+23

Application of Deep Clustering Algorithms

CIKM 2023

#p_seidl

MSL+23

Non-Redundant Image Clustering of Early Medieval Glass Beads

DSAA 2023

#p_seidl

WSS+23a

Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning

ECAI 2023

#p_schubert #p_seidl

GBR+23

DiffusAL: Coupling Active Learning With Graph Diffusion for Label-Efficient Node Classification

ECML-PKDD 2023

#p_seidl

GHF+23

How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning

ECML-PKDD 2023

#p_seidl

KLB23

K-SubMix: Common Subspace Clustering on Mixed-Type Data

ECML-PKDD 2023

#p_seidl

BDH+23

Connecting the Dots — Density-Connectivity Distance Unifies DBSCAN, K-Center and Spectral Clustering

KDD 2023

#p_seidl

FBF+23

Cross-Domain Argument Quality Estimation

Findings @ACL 2023

#p_schubert #p_seidl #p_tresp

WSS+23

Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning

PAKDD 2023

#p_schubert #p_seidl #p_tresp

BLB+23

Extension of the Dip-Test Repertoire - Efficient and Differentiable P-Value Calculation for Clustering

SDM 2023

#p_seidl

UBH+23

Over-Optimistic Evaluation and Reporting of Novel Cluster Algorithms: An Illustrative Study

Advances in Data Analysis and Classification 17. Mar. 2023

#p_boulesteix #p_seidl

KHS+23

InstanceFormer: An Online Video Instance Segmentation Framework

AAAI 2023

#p_schubert #p_seidl #p_tresp

DMP+22

DBHD: Density-Based Clustering for Highly Varying Density

ICDM 2022

#p_boehm #p_seidl

GJM+22

VERIPS: Verified Pseudo-Label Selection for Deep Active Learning

ICDM 2022

#p_seidl #p_tresp

LBK22

Group Anomaly Detection for Spatio-Temporal Collective Behaviour Scenarios in Smart Cities

IWCTS @ACM SIGSPATIAL 2022

#p_seidl

ZLB+22

AI4EO Hyperview: A SpectralNet3D and RNNPlus Approach for Sustainable Soil Parameter Estimation on Hyperspectral Image Data

ICIP 2022

#p_seidl

SWB+22

Reinforcement Learning for Multi-Agent Stochastic Resource Collection

ECML-PKDD 2022

#p_schubert #p_seidl #p_tresp

WSS+22

Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection

ECML-PKDD 2022

#p_schubert #p_seidl

GBM+22

Accelerating Diversity Sampling for Deep Active Learning by Low-Dimensional Representations

IAL @ECML-PKDD 2022

#p_seidl #p_tresp

HFB+22

SCAR - Spectral Clustering Accelerated and Robustified

VLDB 2022

#p_seidl

LBN+22

The DipEncoder: Enforcing Multimodality in Autoencoders

KDD 2022

#p_boehm #p_seidl

Fro22

Machine Learning Driven Argument Mining

Dissertation LMU München. Jul. 2022

#p_seidl

LMP+22

Automatic Parameter Selection for Non-Redundant Clustering

SDM 2022

#p_boehm #p_seidl

Kaz22

Advances in Correlation Clustering

Dissertation LMU München. Mar. 2022

#p_seidl

BSS21

LUCKe- Connecting Clustering and Correlation Clustering

Workshop @ICDM 2021

#p_seidl

BHH+21

Implicit Hough Transform Neural Networks for Subspace Clustering

Workshop @ICDM 2021

#p_seidl

LDH+21

OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets

Workshop @ICDM 2021

#p_seidl

Bee21

Dissertation LMU München. Nov. 2021

#p_seidl

KFF+21

Active Learning for Argument Strength Estimation

Insights @EMNLP 2021

#p_schubert #p_seidl

KBO+21

Compound Segmentation via Clustering on Mol2Vec-Based Embeddings

EScience 2021

#p_seidl

OBW+21

Cluster Flow — An Advanced Concept for Ensemble-Enabling, Interactive Clustering

BTW 2021

#p_seidl

KWK+21

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

Datenbank-Spektrum 21. Sep. 2021

#p_seidl

SFO21

Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR

LWDA 2021 - Lernen, Wissen, Daten, Analysen 2021. Sep. 2021

#p_seidl

LBH+21

AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval

LWDA 2021

#p_seidl

LBS+21

Dip-Based Deep Embedded Clustering With K-Estimation

KDD 2021

#p_boehm #p_seidl

FBO+21

ECIR 2021

#p_schubert #p_seidl #p_tresp

BAH+21

KISS - A Fast KNN-Based Importance Score for Subspaces

EDBT 2021

#p_seidl

FFB+21

Argument Mining Driven Analysis of Peer-Reviews

AAAI 2021

#p_schubert #p_seidl #p_tresp

FBB+20

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

WI-IAT 2020

#p_schubert #p_seidl

OBK20

Memory-Efficient RkNN Retrieval by Nonlinear K-Distance Approximation

WI-IAT 2020

#p_kroeger #p_seidl #p_tresp

BFS+20

Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering

SSL @NeurIPS 2020

#p_schubert #p_seidl

ZLS20

KNNAC: An Efficient K Nearest Neighbor Based Clustering With Active Core Detection

IiWAS 2020

#p_seidl #p_tresp

KBK+20

I Fold You So! an Internal Evaluation Measure for Arbitrary Oriented Subspace Clustering Through Piecewise-Linear Approximations of Manifolds

Workshop @ICDM 2020

#p_kroeger #p_seidl

KKS20a

Towards an Internal Evaluation Measure for Arbitrarily Oriented Subspace Clustering

Workshop @ICDM 2020

#p_kroeger #p_seidl

KYK20

You See a Set of Wagons - I See One Train: Towards a Unified View of Local and Global Arbitrarily Oriented Subspace Clusters

Workshop @ICDM 2020

#p_kroeger #p_seidl

MFM+20

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

Workshop @CIKM 2020

#p_feuerriegel #p_schubert #p_seidl

Sei20

Keynote: Data Mining on Process Data

ICPM 2020

#p_seidl

MSR+20

Performance Skyline: Inferring Process Performance Models From Interval Events

SA4PM @ICPM 2020

#p_seidl

BSS+20

Angle-Based Clustering

SISAP 2020

#p_seidl

BKB+20

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

LWDA 2020

#p_seidl

BHS20

Orderings of Data - More Than a Tripping Hazard

SSDBM 2020

#p_seidl

FSB+20

SMART-Env

MDM 2020

#p_schubert #p_seidl

BKM+20

Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform

PAKDD 2020

#p_kroeger #p_seidl

BFM+20

Knowledge Graph Entity Alignment With Graph Convolutional Networks: Lessons Learned

ECIR 2020

#p_feuerriegel #p_schubert #p_seidl #p_tresp

Bor20

Unsupervised Learning on Social Data

Dissertation LMU München. Mar. 2020

#p_seidl

DMT+20

Unsupervised Anomaly Detection for X-Ray Images

Preprint (Jan. 2020)

#p_feuerriegel #p_mueller #p_schubert #p_seidl #p_tresp

FVB+19

Graph Alignment Networks With Node Matching Scores

Graph Representation Learning @NeurIPS 2019

#p_schubert #p_seidl #p_tresp

FRS+19

Spatial Interpolation With Message Passing Framework

Workshop @ICDM 2019

#p_schubert #p_seidl #p_tresp

FBF+19

XD-STOD: Cross-Domain Superresolution for Tiny Object Detection

Workshop @ICDM 2019

#p_schubert #p_seidl #p_tresp

BSF19

Optimizing the Spatio-Temporal Resource Search Problem With Reinforcement Learning

ACM SIGSPATIAL 2019

#p_seidl

BBF+19

Structural Graph Representations Based on Multiscale Local Network Topologies

WI 2019

#p_schubert #p_seidl

FFS19

TACAM: Topic and Context Aware Argument Mining

WI 2019

#p_schubert #p_seidl

BLS19

MORe++: K-Means Based Outlier Removal on High-Dimensional Data

SISAP 2019

#p_seidl

BBK19

K-Distance Approximation for Memory-Efficient RkNN Retrieval

SISAP 2019

#p_kroeger #p_seidl #p_tresp

BKH19

A Generic Summary Structure for Arbitrarily Oriented Subspace Clustering in Data Streams

SISAP 2019

#p_kroeger #p_seidl

HKK+19

SIDEKICK: Linear Correlation Clustering With Supervised Background Knowledge

SISAP 2019

#p_kroeger #p_seidl

KHS19

On CoMADs and Principal Component Analysis

SISAP 2019

#p_seidl

BSS19

A Generator for Subspace Clusters

LWDA 2019

#p_seidl

KBS+19

Clustering Trend Data Time-Series Through Segmentation of FFT-Decomposed Signal Constituents

LWDA 2019

#p_seidl

KYS19

From Covariance to Comode in Context of Principal Component Analysis

LWDA 2019

#p_seidl

HBS19a

Chain-Detection Between Clusters

Datenbank-Spektrum 19. Sep. 2019

#p_seidl

SFS19

Scaling the Dynamic Resource Routing Problem

SSTD 2019

#p_schubert #p_seidl

BKB+19

Human Learning in Data Science (Poster Extended Abstract)

HCII 2019

#p_seidl

KBS19

Data on RAILs: On Interactive Generation of Artificial Linear Correlated Data (Poster Extended Abstract)

HCII 2019

#p_seidl

BKS+19a

LUCK - Linear Correlation Clustering Using Cluster Algorithms and a KNN Based Distance Function (Short Paper)

SSDBM 2019

#p_seidl

BS19

Graph Ordering and Clustering - A Circular Approach

SSDBM 2019

#p_seidl

KEK+19

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

SSDBM 2019

#p_kroeger #p_seidl

KS19a

On Systematic Hyperparameter Analysis Through the Example of Subspace Clustering

SSDBM 2019

#p_seidl

BKS19

Rock - Let the Points Roam to Their Clusters Themselves

EDBT 2019

#p_seidl

KKK+19

A Galaxy of Correlations - Detecting Linear Correlated Clusters Through K-Tuples Sampling Using Parameter Space Transform

EDBT 2019

#p_kroeger #p_seidl

KS19

Insights Into a Running Clockwork: On Interactive Process-Aware Clustering

EDBT 2019

#p_seidl

KKK+19a

DICE: Density-Based Interactive Clustering and Exploration

BTW 2019

#p_kroeger #p_seidl
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0001-01-01 - Last modified: 0001-01-01