Martin Ester

According to our database1, Martin Ester authored at least 161 papers between 1985 and 2019.

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Bibliography

2019
A Deep Bayesian Tensor-Based System for Video Recommendation.
ACM Trans. Inf. Syst., 2019

Tissue-Specific Subcellular Localization Prediction Using Multi-Label Markov Random Fields.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

An Active Approach for Model Interpretation.
CoRR, 2019

MOLI: multi-omics late integration with deep neural networks for drug response prediction.
Bioinformatics, 2019

SUBSTRA: Supervised Bayesian Patient Stratification.
Bioinformatics, 2019

Collaborative intra-tumor heterogeneity detection.
Bioinformatics, 2019

Multi-task based Sales Predictions for Online Promotions.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Topic Modeling in Online Social Media, User Features and Social Networks for.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction.
CoRR, 2018

HUME: large-scale detection of causal genetic factors of adverse drug reactions.
Bioinformatics, 2018

Joint User- and Event- Driven Stable Social Event Organization.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

ROSC: Robust Spectral Clustering on Multi-scale Data.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Social Recommendation with Missing Not at Random Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Device-Aware Rule Recommendation for the Internet of Things.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN.
ACM Trans. Database Syst., 2017

Microscopic and Macroscopic Spatio-Temporal Topic Models for Check-in Data.
IEEE Trans. Knowl. Data Eng., 2017

SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines.
J. Cheminformatics, 2017

Learning Personalized Preference of Strong and Weak Ties for Social Recommendation.
Proceedings of the 26th International Conference on World Wide Web, 2017

Semi-supervised Clustering in Attributed Heterogeneous Information Networks.
Proceedings of the 26th International Conference on World Wide Web, 2017

Provider-Consumer Anomaly Detection for Healthcare Systems.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Interactive Social Recommendation.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Structural Analysis of User Choices for Mobile App Recommendation.
TKDD, 2016

Detecting Singleton Review Spammers Using Semantic Similarity.
CoRR, 2016

Structural Analysis of User Choices for Mobile App Recommendation.
CoRR, 2016

Which to View: Personalized Prioritization for Broadcast Emails.
Proceedings of the 25th International Conference on World Wide Web, 2016

CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Collaborative Denoising Auto-Encoders for Top-N Recommender Systems.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Bayesian Biclustering for Patient Stratification.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Activity monitoring using topic models.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Social Recommendation with Strong and Weak Ties.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Community-Based Question Answering via Heterogeneous Social Network Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Detecting Singleton Review Spammers Using Semantic Similarity.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Spatio-Temporal Topic Models for Check-in Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
User Behavior in Online Social Networks, Influencing Factors.
Encyclopedia of Social Network Analysis and Mining, 2014

Density-Based Subspace Clustering in Heterogeneous Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Spatially embedded co-offence prediction using supervised learning.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A Sentiment-aligned Topic Model for Product Aspect Rating Prediction.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

CRIMETRACER: Activity space based crime location prediction.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining.
IEEE Trans. Knowl. Data Eng., 2013

The FLDA model for aspect-based opinion mining: addressing the cold start problem.
Proceedings of the 22nd International World Wide Web Conference, 2013

Spatial topic modeling in online social media for location recommendation.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Recommendation in social networks.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

RecSys challenge 2013.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Finding contexts of social influence in online social networks.
Proceedings of the 7th Workshop on Social Network Mining and Analysis, 2013

Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Density-Based Clustering.
Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach.
IEEE Trans. Knowl. Data Eng., 2012

ETF: extended tensor factorization model for personalizing prediction of review helpfulness.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Aspect-based opinion mining from product reviews.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Assessing the Significance of Data Mining Results on Graphs with Feature Vectors.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

On the design of LDA models for aspect-based opinion mining.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

User Features and Social Networks for Topic Modeling in Online Social Media.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Learning the Strength of the Factors Influencing User Behavior in Online Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Co-offending Network Mining.
Proceedings of the Counterterrorism and Open Source Intelligence, 2011

Optimally discriminative subnetwork markers predict response to chemotherapy.
Bioinformatics [ISMB/ECCB], 2011

Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns.
Proceedings of the 20th International Conference on World Wide Web, 2011

ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

CrimeWalker: a recommendation model for suspect investigation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

A generalized stochastic block model for recommendation in social rating networks.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks.
Proceedings of the IJCAI 2011, 2011

AQA: Aspect-based Opinion Question Answering.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Review recommendation: personalized prediction of the quality of online reviews.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes.
Bioinformatics, 2010

Inferring cancer subnetwork markers using density-constrained biclustering.
Bioinformatics, 2010

A Data Mining Approach to XML Dissemination.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

A matrix factorization technique with trust propagation for recommendation in social networks.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Graph-based pigment network detection in skin images.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks.
Proceedings of the ICDMW 2010, 2010

Evaluating skylines in the presence of equijoins.
Proceedings of the 26th International Conference on Data Engineering, 2010

FVC: A Feature-Vector-Based Classification for XML Dissemination.
Proceedings of the Database Systems for Advanced Applications, 2010

Opinion digger: an unsupervised opinion miner from unstructured product reviews.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Supervised identification and linking of concept mentions to a domain-specific ontology.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Hierarchical Document Clustering.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis
CoRR, 2009

Slider - maximum use of probability information for alignment of short sequence reads and SNP detection.
Bioinformatics, 2009

Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks.
Proceedings of the Algorithms in Bioinformatics, 9th International Workshop, 2009

Mining Cohesive Patterns from Graphs with Feature Vectors.
Proceedings of the SIAM International Conference on Data Mining, 2009

FeedbackTrust: using feedback effects in trust-based recommendation systems.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Using a trust network to improve top-N recommendation.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Dense Graphlet Statistics of Protein Interaction and Random Networks.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

TrustWalker: a random walk model for combining trust-based and item-based recommendation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

A multi-relational approach to spatial classification.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications.
TKDD, 2008

Robust projected clustering.
Knowl. Inf. Syst., 2008

Join Bayes Nets: A new type of Bayes net for relational data
CoRR, 2008

2007
Association Rules in the Relational Calculus
CoRR, 2007

On Dominating Your Neighborhood Profitably.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

On Efficient Processing of Subspace Skyline Queries on High Dimensional Data.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

Efficiently Mining Regional Outliers in Spatial Data.
Proceedings of the Advances in Spatial and Temporal Databases, 2007

A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts.
Proceedings of the Short Paper Proceedings of the 2nd International Symposium on Languages in Biology and Medicine (LBM 2007), 2007

Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Constraint-driven clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

The minimum consistent subset cover problem and its applications in data mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Efficient incremental constrained clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

The Multi-Relational Skyline Operator.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Towards multidimensional subspace skyline analysis.
ACM Trans. Database Syst., 2006

A Disc-based Approach to Data Summarization and Privacy Preservation.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Cluster Description Formats, Problems and Algorithms.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Density-Based Clustering over an Evolving Data Stream with Noise.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Discovering significant OPSM subspace clusters in massive gene expression data.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

P3C: A Robust Projected Clustering Algorithm.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Right of Inference: Nearest Rectangle Learning Revisited.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis.
Bioinformatics, 2005

Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Efficient Processing of Ranked Queries with Sweeping Selection.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

2004
Accurate and Efficient Crawling for Relevant Websites.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Mining Thick Skylines over Large Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

A microeconomic data mining problem: customer-oriented catalog segmentation.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria.
Nucleic Acids Research, 2003

Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*.
Knowl. Inf. Syst., 2003

Hierarchical Document Clustering using Frequent Itemsets.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Frequent-subsequence-based prediction of outer membrane proteins.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002
Instance Selection Techniques for Memory-based Collaborative Filtering.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Web site mining: a new way to spot competitors, customers and suppliers in the world wide web.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Frequent term-based text clustering.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases.
IEEE Trans. Knowl. Data Eng., 2001

Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address).
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001

Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support.
Data Min. Knowl. Discov., 2000

Towards an effective cooperation of the user and the computer for classification.
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Knowledge Discovery in Databases - Techniken und Anwendungen
Springer, ISBN: 3-540-67328-8, 2000

1999
Perception-Based Classification.
Informatica (Slovenia), 1999

Knowledge Discovery in Spatial Databases (Abstract).
Datenbank Rundbrief, 1999

Visual Classification: An Interactive Approach to Decision Tree Construction.
Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

Knowledge Discovery in Spatial Databases.
Proceedings of the Mustererkennung 1999, 1999

Database Primitives for Spatial Data Mining.
Proceedings of the Datenbanksysteme in Büro, 1999

1998
Clustering for Mining in Large Spatial Databases.
KI, 1998

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications.
Data Min. Knowl. Discov., 1998

Incremental Clustering for Mining in a Data Warehousing Environment.
Proceedings of the VLDB'98, 1998

Algorithms for Characterization and Trend Detection in Spatial Databases.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

Incremental Generalization for Mining in a Data Warehousing Environment.
Proceedings of the Advances in Database Technology, 1998

1997
Spatial Data Mining: A Database Approach.
Proceedings of the Advances in Spatial Databases, 1997

Density-Connected Sets and their Application for Trend Detection in Spatial Databases.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental Results.
Proceedings of the German Conference on Bioinformatics, 1996

1995
Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification.
Proceedings of the Advances in Spatial Databases, 1995

A Database Interface for Clustering in Large Spatial Databases.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank.
Proceedings of the Datenbanksysteme in Büro, 1995

1989
Konsistenzwerkzeuge für PROLOG-Wissensbasen.
PhD thesis, 1989

1987
KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung.
Proceedings of the Expertensysteme '87: Konzepte und Werkzeuge, 1987

1985
Integrity in a Knowledge Based Office Information System: Modeling with Extended SDM and Implementation with Prolog.
Proceedings of the Büroautomation '85, 1985


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