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Stefan Conrad 0001
Person information
- affiliation: Heinrich Heine University Düsseldorf, Department of Computer Science, Germany
Other persons with the same name
- Stefan Conrad 0002 — University of Hamburg, Department of Informatics
- Stefan Conrad 0003 — Fraunhofer Institute for Media Communication (IMK)
- Stefan Conrad 0004 — University of Freiburg, Germany
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2020 – today
- 2024
- [c158]Heiko Kauschke, Kirill Bogomasov, Stefan Conrad:
Predicting Captions and Detecting Concepts for Medical Images: Contributions of the DBS-HHU Team to ImageCLEFmedical Caption 2024. CLEF (Working Notes) 2024: 1645-1655 - [c157]Manh Khoi Duong, Stefan Conrad:
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. DaWaK 2024: 375-380 - [c156]Mihir Mulye, Stefan Conrad, Stefan Knecht:
Proof of clinical feasibility of natural language learning with machines. GvDB 2024: 64-69 - [c155]Kirill Bogomasov, Tim Geuer, Stefan Conrad:
Let's Talk About Image Quality Improvement in Underwater Images for Object Detection. ICMVA 2024: 1-6 - [i7]Manh Khoi Duong, Stefan Conrad:
Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques. CoRR abs/2405.12926 (2024) - [i6]Manh Khoi Duong, Stefan Conrad:
Measuring and Mitigating Bias for Tabular Datasets with Multiple Protected Attributes. CoRR abs/2405.19300 (2024) - 2023
- [j36]Gerhard Klassen, Martha Tatusch, Stefan Conrad:
Cluster-based stability evaluation in time series data sets. Appl. Intell. 53(13): 16606-16629 (2023) - [c154]Manh Khoi Duong, Stefan Conrad:
Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes. AusDM 2023: 105-120 - [c153]Manh Khoi Duong, Jannik Dunkelau, José Andrés Cordova, Stefan Conrad:
RAPP: A Responsible Academic Performance Prediction Tool for Decision-Making in Educational Institutes. BTW 2023: 595-606 - [c152]Manh Khoi Duong, Stefan Conrad:
Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness? DaWaK 2023: 176-190 - [c151]Kirill Bogomasov, Tim Geuer, Stefan Conrad:
InfEval: Application for Object Detection Analysis. ECIR (3) 2023: 201-205 - [c150]Kirill Bogomasov, Stefan Conrad:
Efficient Iterative Semi-supervised Object Detection Training for Counting of Fruits and Vegetables. ICAAI 2023: 133-137 - [c149]Fabian Billert, Stefan Conrad:
HHU at SemEval-2023 Task 3: An Adapter-based Approach for News Genre Classification. SemEval@ACL 2023: 1166-1171 - 2022
- [c148]Felix Kerlin, Kirill Bogomasov, Stefan Conrad:
Monitoring Coral Reefs Using Faster R-CNN. CLEF (Working Notes) 2022: 1443-1454 - [c147]Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, Dorit Merhof:
Monoplanar CT Reconstruction with GANs. IPTA 2022: 1-6 - [c146]Lea Kawaletz, Heidrun Dorgeloh, Stefan Conrad, Zeljko Bekcic:
Developing an argument annotation scheme based on a semantic classification of arguments. SIGDIAL 2022: 62-67 - [i5]Carlo Schackow, Stefan Conrad, Ingo Plag:
Sense disambiguation of compound constituents. CoRR abs/2204.00429 (2022) - 2021
- [j35]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Conrad, Stefan Dietze:
Charaterizing RDF graphs through graph-based measures - framework and assessment. Semantic Web 12(5): 789-812 (2021) - [c145]Julia Romberg, Stefan Conrad:
Citizen Involvement in Urban Planning - How Can Municipalities Be Supported in Evaluating Public Participation Processes for Mobility Transitions? ArgMining@EMNLP 2021: 89-99 - [c144]Kirill Bogomasov, Stefan Conrad:
Efficient Fruit and Vegetable Classification and Counting for Retail Applications Using Deep Learning. ICAAI 2021: 65-71 - [c143]Kirill Bogomasov, Thomas Grings, Christian Rubbert, Lars Schimmöller, Stefan Conrad:
Orientation Estimation in MRI of Prostate Cancer Patients: When Simple Models Perform Better. IST 2021: 1-6 - 2020
- [j34]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
PyMatting: A Python Library for Alpha Matting. J. Open Source Softw. 5(54): 2481 (2020) - [c142]Martha Tatusch, Gerhard Klassen, Stefan Conrad:
Loners Stand Out. Identification of Anomalous Subsequences Based on Group Performance. ADMA 2020: 360-369 - [c141]Kirill Bogomasov, Philipp Grawe, Stefan Conrad:
Enhanced Localization and Classification of Coral Reef Structures and Compositions. CLEF (Working Notes) 2020 - [c140]Martha Tatusch, Gerhard Klassen, Stefan Conrad:
Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion. DaWaK 2020: 333-347 - [c139]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
Fast Multi-Level Foreground Estimation. ICPR 2020: 1104-1111 - [c138]Gerhard Klassen, Martha Tatusch, Ludmila Himmelspach, Stefan Conrad:
Fuzzy Clustering Stability Evaluation of Time Series. IPMU (1) 2020: 680-692 - [c137]Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung, Dorit Merhof:
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. ShapeMI@MICCAI 2020: 85-94 - [c136]Julia Romberg, Jan Dyczmons, Sandra Olivia Borgmann, Jana Sommer, Markus Vomhof, Cecilia Brunoni, Ismael Bruck-Ramisch, Luis Enders, Andrea Icks, Stefan Conrad:
Annotating Patient Information Needs in Online Diabetes Forums. SMM4H@COLING 2020: 19-26 - [c135]Gerhard Klassen, Martha Tatusch, Stefan Conrad:
Clustering of Time Series Regarding Their Over-Time Stability. SSCI 2020: 1051-1058 - [e16]Stefan Conrad, Ilaria Tiddi:
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020. CEUR Workshop Proceedings 2699, CEUR-WS.org 2020 [contents] - [i4]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
PyMatting: A Python Library for Alpha Matting. CoRR abs/2003.12382 (2020) - [i3]Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling:
Fast Multi-Level Foreground Estimation. CoRR abs/2006.14970 (2020)
2010 – 2019
- 2019
- [c134]Martha Tatusch, Gerhard Klassen, Marcus Bravidor, Stefan Conrad:
Show Me Your Friends and I'll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions. AusDM 2019: 91-103 - [c133]Kirill Bogomasov, Daniel Braun, Andreas Burbach, Ludmila Himmelspach, Stefan Conrad:
Feature and Deep Learning Based Approaches for Automatic Report Generation and Severity Scoring of Lung Tuberculosis from CT Images. CLEF (Working Notes) 2019 - [c132]Kirill Bogomasov, Philipp Grawe, Stefan Conrad:
A two-staged Approach for Localization and Classification of Coral Reef Structures and Compositions. CLEF (Working Notes) 2019 - [c131]Alexander Askinadze, Stefan Conrad:
Predicting Student Dropout in Higher Education Based on Previous Exam Results. EDM 2019 - [c130]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. ESWC 2019: 523-539 - [c129]Alexander Oberstraß, Julia Romberg, Anke Stoll, Stefan Conrad:
HHU at SemEval-2019 Task 6: Context Does Matter - Tackling Offensive Language Identification and Categorization with ELMo. SemEval@NAACL-HLT 2019: 628-634 - [i2]Matthäus Zloch, Maribel Acosta, Daniel Hienert, Stefan Dietze, Stefan Conrad:
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs. CoRR abs/1907.01885 (2019) - 2018
- [c128]Kirill Bogomasov, Ludmila Himmelspach, Gerhard Klassen, Martha Tatusch, Stefan Conrad:
Feature-Based Approach for Severity Scoring of Lung Tuberculosis from CT Images. CLEF (Working Notes) 2018 - [c127]Martha Tatusch, Stefan Conrad:
Detection of Multidrug-resistant Tuberculosis using Convolutional Neural Networks and Decision Trees. CLEF (Working Notes) 2018 - [c126]Matthias Liebeck, Andreas Funke, Stefan Conrad:
HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant. SemEval@NAACL-HLT 2018: 1114-1119 - [c125]Alexander Askinadze, Stefan Conrad:
Respecting Data Privacy in Educational Data Mining: An Approach to the Transparent Handling of Student Data and Dealing with the Resulting Missing Value Problem. WETICE 2018: 160-164 - [e15]Gerhard Klassen, Stefan Conrad:
Proceedings of the 30th GI-Workshop Grundlagen von Datenbanken, Wuppertal, Germany, May 22-25, 2018. CEUR Workshop Proceedings 2126, CEUR-WS.org 2018 [contents] - 2017
- [j33]Pascal Hirmer, Tim Waizenegger, Ghareeb Falazi, Majd Abdo, Yuliya Volga, Alexander Askinadze, Matthias Liebeck, Stefan Conrad, Tobias Hildebrandt, Conrad Indiono, Stefanie Rinderle-Ma, Martin Grimmer, Matthias Kricke, Eric Peukert:
The First Data Science Challenge at BTW 2017. Datenbank-Spektrum 17(3): 207-222 (2017) - [j32]Matthias Liebeck, Katharina Esau, Stefan Conrad:
Text Mining für Online-Partizipationsverfahren: Die Notwendigkeit einer maschinell unterstützten Auswertung. HMD Prax. Wirtsch. 54(4): 544-562 (2017) - [c124]Michael Singhof, Gerhard Klassen, Daniel Braun, Stefan Conrad:
Detection and Implicit Classification of Outliers via Different Feature Sets in Polygonal Chains. BTW 2017: 237-246 - [c123]Daniel Braun, Michael Singhof, Martha Tatusch, Stefan Conrad:
Convolutional Neural Networks for Multidrug-resistant and Drug-sensitive Tuberculosis Distinction. CLEF (Working Notes) 2017 - [c122]Alexander Askinadze, Stefan Conrad:
Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data. EDM 2017 - [c121]Tobias Cabanski, Julia Romberg, Stefan Conrad:
HHU at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Data using Machine Learning Methods. SemEval@ACL 2017: 832-836 - [c120]Matthäus Zloch, Daniel Hienert, Stefan Conrad:
Towards a Use Case Driven Evaluation of Database Systems for RDF Data Storage - A Case Study for Statistical Data. BLINK/NLIWoD3@ISWC 2017 - [c119]Alexander Askinadze, Stefan Conrad:
A Web Service Architecture for Tracking and Analyzing Data from Distributed E-Learning Environments. WETICE 2017: 208-213 - [i1]Pashutan Modaresi, Philipp Gross, Siavash Sefidrodi, Mirja Eckholf, Stefan Conrad:
On (Commercial) Benefits of Automatic Text Summarization Systems in the News Domain: A Case of Media Monitoring and Media Response Analysis. CoRR abs/1701.00728 (2017) - 2016
- [c118]Matthias Liebeck, Katharina Esau, Stefan Conrad:
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld. ArgMining@ACL 2016 - [c117]Matthias Liebeck, Pashutan Modaresi, Stefan Conrad:
Evaluating Safety, Soundness and Sensibleness of Obfuscation Systems. CLEF (Working Notes) 2016: 920-928 - [c116]Pashutan Modaresi, Matthias Liebeck, Stefan Conrad:
Exploring the Effects of Cross-Genre Machine Learning for Author Profiling in PAN 2016. CLEF (Working Notes) 2016: 970-977 - [c115]Pashutan Modaresi, Stefan Conrad:
Simurg: An Extendable Multilingual Corpus for Abstractive Single Document Summarization. FIRE 2016: 24-27 - [c114]Pashutan Modaresi, Matthias Liebeck, Stefan Conrad:
Neural Classification of Linguistic Coherence using Long Short-Term Memories. FIRE 2016: 28-31 - [c113]Matthias Liebeck, Pashutan Modaresi, Alexander Askinadze, Stefan Conrad:
Pisco: A Computational Approach to Predict Personality Types from Java Source Code. FIRE (Working Notes) 2016: 43-47 - [c112]Ludmila Himmelspach, Stefan Conrad:
The Effect of Noise and Outliers on Fuzzy Clustering of High Dimensional Data. IJCCI (FCTA) 2016: 101-108 - [c111]Ludmila Himmelspach, Stefan Conrad:
Fuzzy c-Means Clustering of Incomplete Data Using Dimension-Wise Fuzzy Variances of Clusters. IPMU (1) 2016: 699-710 - [c110]Michael Singhof, Daniel Braun, Stefan Conrad:
Finding Trees in Mountains - Outlier Detection on Polygonal Chains. LWDA 2016: 235-246 - [c109]Daniel Braun, Michael Singhof, Stefan Conrad:
AdaMS: Adaptive Mountain Silhouette Extraction from Images. MLDM 2016: 98-112 - [c108]Matthias Liebeck, Philipp Pollack, Pashutan Modaresi, Stefan Conrad:
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity. SemEval@NAACL-HLT 2016: 595-601 - [c107]Ludmila Himmelspach, Stefan Conrad:
A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm. SUM 2016: 338-344 - 2015
- [c106]Matthias Liebeck, Stefan Conrad:
IWNLP: Inverse Wiktionary for Natural Language Processing. ACL (2) 2015: 414-418 - [c105]Magdalena Rischka, Stefan Conrad:
Image Landmark Recognition with Hierarchical K-Means Tree. BTW 2015: 455-464 - [c104]Thi Thuy Anh Nguyen, Stefan Conrad:
Ontology Matching using Multiple Similarity Measures. KDIR 2015: 603-611 - [c103]Kahraman Ayyildiz, Stefan Conrad:
Optimized Background Subtraction for Moving Camera Recordings. VISAPP (2) 2015: 167-176 - [p5]Sadet Alcic, Stefan Conrad:
Evaluating Web Image Context Extraction. Multimedia Data Mining and Analytics 2015: 229-252 - 2014
- [c102]Thi Thuy Anh Nguyen, Stefan Conrad:
An Improved String Similarity Measure Based on Combining Information-Theoretic and Edit Distance Methods. IC3K (Selected Papers) 2014: 228-239 - [c101]Thi Thuy Anh Nguyen, Stefan Conrad:
Applying Information-theoretic and Edit Distance Approaches to Flexibly Measure Lexical Similarity. KDIR 2014: 505-511 - [c100]Magdalena Rischka, Stefan Conrad:
Landmark Recognition: State-of-the-Art Methods in a Large-Scale Scenario. LWA 2014: 10-17 - [c99]Pashutan Modaresi, Stefan Conrad:
From Phrases to Keyphrases: An Unsupervised Fuzzy Set Approach to Summarize News Articles. MoMM 2014: 336-341 - 2013
- [c98]Jiwu Zhao, Stefan Conrad:
Subspace Clustering with Distance-density Function and Entropy in High-dimensional Data. DATA 2013: 14-22 - [c97]Thomas Scholz, Stefan Conrad:
Opinion Mining in Newspaper Articles by Entropy-Based Word Connections. EMNLP 2013: 1828-1839 - [c96]Thi Thuy Anh Nguyen, Stefan Conrad:
A Semantic Similarity Measure between Nouns based on the Structure of Wordnet. iiWAS 2013: 605 - [c95]Kahraman Ayyildiz, Stefan Conrad:
Classifier Comparison for Repeating Motion Based Video Classification. ISVC (2) 2013: 725-736 - [c94]Thomas Scholz, Stefan Conrad:
Extraction of Statements in News for a Media Response Analysis. NLDB 2013: 1-12 - [c93]Thomas Scholz, Stefan Conrad:
Linguistic Sentiment Features for Newspaper Opinion Mining. NLDB 2013: 272-277 - 2012
- [j31]Tim Schlüter, Stefan Conrad:
An approach for automatic sleep stage scoring and apnea-hypopnea detection. Frontiers Comput. Sci. 6(2): 230-241 (2012) - [j30]Natheer Khasawneh, Stefan Conrad, Luay Fraiwan, Eyad Taqieddin, Basheer Khasawneh:
Combining decision trees classifiers: a case study of automatic sleep stage scoring. Int. J. Knowl. Eng. Data Min. 2(1): 60-75 (2012) - [j29]Mohammad Fraiwan, Rami Al-Salman, Natheer Khasawneh, Stefan Conrad:
Analysis and Identification of Malicious JavaScript Code. Inf. Secur. J. A Glob. Perspect. 21(1): 1-11 (2012) - [c92]Robin Küppers, Stefan Conrad:
A Set-Based Approach to Plagiarism Detection. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c91]Magdalena Rischka, Stefan Conrad:
DBRIS at ImageCLEF 2012 Photo Annotation Task. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c90]Jiwu Zhao, Stefan Conrad:
Automatic Subspace Clustering with Density Function. DATA 2012: 63-69 - [c89]Thi Thuy Anh Nguyen, Stefan Conrad:
Combination of Lexical and Structure-Based Similarity Measures to Match Ontologies Automatically. IC3K 2012: 101-112 - [c88]Thi Thuy Anh Nguyen, Stefan Conrad:
A New Structure-based Similarity Measure for Automatic Ontology Matching. KDIR 2012: 443-449 - [c87]Thomas Scholz, Stefan Conrad:
Integrating viewpoints into newspaper opinion mining for a media response analysis. KONVENS 2012: 30-38 - [c86]Thomas Scholz, Stefan Conrad, Isabel Wolters:
Comparing Different Methods for Opinion Mining in Newspaper Articles. NLDB 2012: 259-264 - [c85]Tim Schlüter, Stefan Conrad:
Hidden markov model-based time series prediction using motifs for detecting inter-time-serial correlations. SAC 2012: 158-164 - [c84]Ludmila Himmelspach, João Paulo Carvalho, Stefan Conrad:
On Cluster Validity for Fuzzy Clustering of Incomplete Data. SUM 2012: 612-618 - [c83]Thomas Scholz, Stefan Conrad, Lutz Hillekamps:
Opinion Mining on a German Corpus of a Media Response Analysis. TSD 2012: 39-46 - [c82]Kahraman Ayyildiz, Stefan Conrad:
Analyzing Invariance of Frequency Domain based Features from Videos with Repeating Motion. VISAPP (1) 2012: 659-666 - 2011
- [c81]Tim Schlüter, Stefan Conrad:
About the analysis of time series with temporal association rule mining. CIDM 2011: 325-332 - [c80]Ludmila Himmelspach, Daniel Hommers, Stefan Conrad:
Cluster Tendency Assessment for Fuzzy Clustering of Incomplete Data. EUSFLAT Conf. 2011: 290-297 - [c79]Thomas Scholz, Stefan Conrad:
Style Analysis of Academic Writing. NLDB 2011: 246-249 - [c78]Sadet Alcic, Stefan Conrad:
Page segmentation by web content clustering. WIMS 2011: 24 - 2010
- [c77]Oliver Daute, Stefan Conrad:
Maintenance Scenarios for Distributed Application Infrastructures - Concepts with the Focus on Functional and Data Integrity. BIR 2010: 161-175 - [c76]Oliver Daute, Stefan Conrad:
Supporting Complex Business Information Systems. BIS 2010: 171-182 - [c75]Katrin Zaiß, Stefan Conrad, Sven Vater:
A Benchmark for Testing Instance-based Ontology Matching Methods. EKAW (Posters and Demos) 2010 - [c74]Tim Schlüter, Stefan Conrad:
Mining Several Kinds of Temporal Association Rules Enhanced by Tree Structures. eKNOW 2010: 86-93 - [c73]Ludmila Himmelspach, Stefan Conrad:
Clustering approaches for data with missing values: Comparison and evaluation. ICDIM 2010: 19-28 - [c72]Tim Schlüter, Stefan Conrad:
An Approach for Automatic Sleep Stage Scoring and Apnea-Hypopnea Detection. ICDM 2010: 1007-1012 - [c71]Ludmila Himmelspach, Stefan Conrad:
Fuzzy Clustering of Incomplete Data Based on Cluster Dispersion. IPMU 2010: 59-68
2000 – 2009
- 2009
- [c70]Oliver Daute, Stefan Conrad:
Activity Control in Application Landscapes A Further Approach to Improving Maintainability of Distributed Application Landscapes. CloudComp 2009: 83-92 - [c69]Katrin Zaiß, Stefan Conrad:
Partial Ontology Matching Using Instance Features. OTM Conferences (2) 2009: 1201-1208 - [c68]Hieu Quang Le, Stefan Conrad:
Classifying Structured Web Sources Using Support Vector Machine and Aggressive Feature Selection. WEBIST (Selected Papers) 2009: 270-282 - [c67]Hieu Quang Le, Stefan Conrad:
Classifying Structured Web Sources using Aggressive Feature Selection. WEBIST 2009: 618-625 - 2008
- [c66]Asem Omari, Regina Langer, Stefan Conrad:
TARtool: A Temporal Dataset Generator for Market Basket Analysis. ADMA 2008: 400-410 - [c65]Asem Omari, Mehdi Bin Lamine, Stefan Conrad:
On Using Clustering and Classification during the Design Phase to Build Well-Structured Retail Websites. IADIS European Conf. Data Mining 2008: 51-59 - [c64]Michael Matuschek, Tim Schlüter, Stefan Conrad:
Measuring text similarity with dynamic time warping. IDEAS 2008: 263-267 - [c63]Johanna Vompras, Thomas Scholz, Stefan Conrad:
Extracting contextual information from multiuser systems for improving annotation-based retrieval of image data. Multimedia Information Retrieval 2008: 149-155 - [c62]Katrin Zaiß, Tim Schlüter, Stefan Conrad:
Instance-Based Ontology Matching Using Regular Expressions. OTM Workshops 2008: 40-41 - [c61]Sadet Alcic, Stefan Conrad:
2-DOM: A 2-Dimensional Object Model towards Web Image Annotation. SMAP 2008: 3-8 - [p4]Johanna Vompras, Stefan Conrad:
Management and Processing of Personalized Annotations in Image Retrieval Systems. Advances in Semantic Media Adaptation and Personalization 2008: 137-155 - 2007
- [c60]Ludmila Himmelspach, Mehmet Kolac, Krasimir Kutsarov, Alexander Chernin, Christopher Popfinger, Stefan Conrad:
COMICS: A Global Constraint Manager for Interactive Component Database Systems. NBiS 2007: 217-226 - [e14]