Martin Ester - RankMe

222 papers A* 61A 33B 10C 2Misc 6Journal 75Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. ACM Comput. Surv. Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
2025	J	`jnl`	Accelerating Scientific Discovery with Autonomous Goal-evolving Agents. CoRR Yuanqi Du, Botao Yu, Tianyu Liu, Tony Shen, Junwu Chen, Jan G. Rittig, Kunyang Sun, Yikun Zhang, Zhangde Song, Bo Zhou, Cassandra Masschelein, Yingze Wang, Haorui Wang, Haojun Jia, Chao Zhang, Hongyu Zhao, Martin Ester, Teresa Head-Gordon, Carla P. Gomes, Huan Sun, Chenru Duan, Philippe Schwaller, Wengong Jin
2025	A*	`conf`	Compositional Flows for 3D Molecule and Synthesis Pathway Co-design. ICML Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester
2025	J	`jnl`	Compositional Flows for 3D Molecule and Synthesis Pathway Co-design. CoRR Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson, Woo Youn Kim, Martin Ester
2025	A*	`conf`	Generative Flows on Synthetic Pathway for Drug Design. ICLR Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2025	J	`jnl`	Guest Editorial: Special Issue on Deep Learning for Intelligent Media Computing and Applications. IEEE Trans. Neural Networks Learn. Syst. Hamido Fujita, Bo Li, Yiyu Yao, Xinbo Gao, Maoguo Gong, Ivan Lee, Martin Ester, Xin Wang
2025	—	`conf`	Informed Augmentation Selection Improves Tabular Contrastive Learning. PAKDD (1) Arash Khoeini, Shuman Peng, Martin Ester
2025	A*	`conf`	Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. ICML Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio
2025	J	`jnl`	Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation. CoRR Mohit Pandey, Gopeshh Subbaraj, Artem Cherkasov, Martin Ester, Emmanuel Bengio
2025	J	`jnl`	Why Pool When You Can Flow? Active Learning with GFlowNets. CoRR Renfei Zhang, Mohit Pandey, Artem Cherkasov, Martin Ester
2025	J	`jnl`	scMUSCL: multi-source transfer learning for clustering scRNA-seq data. Bioinform. Arash Khoeini, Funda Sar, Yen-Yi Lin, Colin C. Collins, Martin Ester
2024	A*	`conf`	Adversarially Balanced Representation for Continuous Treatment Effect Estimation. AAAI Amirreza Kazemi, Martin Ester
2024	J	`jnl`	Causal Order Discovery based on Monotonic SCMs. CoRR Ali Izadi, Martin Ester
2024	J	`jnl`	Generative Flows on Synthetic Pathway for Drug Design. CoRR Seonghwan Seo, Minsu Kim, Tony Shen, Martin Ester, Jinkyoo Park, Sungsoo Ahn, Woo Youn Kim
2024	J	`jnl`	Geometric-informed GFlowNets for Structure-Based Drug Design. CoRR Grayson Lee, Tony Shen, Martin Ester
2024	A*	`conf`	IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. ICLR Yuzhen Mao, Martin Ester, Ke Li
2024	J	`jnl`	IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. CoRR Yuzhen Mao, Martin Ester, Ke Li
2024	J	`jnl`	Identifying Synergistic Components of Botanical Fungicide Formulations Using Interpretable Graph Neural Networks. J. Chem. Inf. Model. Oliver Snow, Amirreza Kazemi, Forum Bhanshali, Alyas Nasiri, Annett Rozek, Martin Ester
2024	J	`jnl`	Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles. CoRR Shuman Peng, Arash Khoeini, Sharan Vaswani, Martin Ester
2024	J	`jnl`	Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4. Comput. Biol. Medicine Ali Arab, Bahareh Kashani, Miguel Cordova-Delgado, Erika N. Scott, Kaveh Alemi, Jessica Trueman, Gabriella Groeneweg, Wan-Chun Chang, Catrina M. Loucks, Colin J. D. Ross, Bruce C. Carleton, Martin Ester
2024	J	`jnl`	Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. Bioinform. Yuzhen Mao, Yen-Yi Lin, Nelson K. Y. Wong, Stanislav Volik, Funda Sar, Colin C. Collins, Martin Ester
2024	J	`jnl`	TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design. Trans. Mach. Learn. Res. Tony Shen, Seonghwan Seo, Grayson Lee, Mohit Pandey, Jason R. Smith, Artem Cherkasov, Woo Youn Kim, Martin Ester
2024	J	`jnl`	UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data. CoRR Michael Hartung, Andreas Maier, Fernando M. Delgado-Chaves, Yuliya Burankova, Olga I. Isaeva, Fábio Malta de Sá Patroni, Daniel He, Casey Shannon, Katharina Kaufmann, Jens Johann Georg Lohmann, Alexey Savchik, Anne Hartebrodt, Zoe Chervontseva, Farzaneh Firoozbakht, Niklas Probul, Evgenia Zotova, Olga Tsoy, David B. Blumenthal, Martin Ester, Tanja Laske, Jan Baumbach, Olga I. Zolotareva
2023	J	`jnl`	Adversarially Balanced Representation for Continuous Treatment Effect Estimation. CoRR Amirreza Kazemi, Martin Ester
2023	J	`jnl`	Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang
2023	J	`jnl`	TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design. CoRR Tony Shen, Mohit Pandey, Jason R. Smith, Artem Cherkasov, Martin Ester
2022	J	`jnl`	A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
2022	J	`jnl`	Aristotle: stratified causal discovery for omics data. BMC Bioinform. Mehrdad Mansouri, Sahand Khakabimamaghani, Leonid Chindelevitch, Martin Ester
2022	J	`jnl`	Causal Inference from Small High-dimensional Datasets. CoRR Raquel Aoki, Martin Ester
2022	J	`jnl`	Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Trans. Inf. Syst. Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu
2022	J	`jnl`	SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
2022	J	`jnl`	Subgroup Discovery in Unstructured Data. CoRR Ali Arab, Dev Arora, Jialin Lu, Martin Ester
2021	J	`jnl`	An Interactive Visualization Tool for Understanding Active Learning. CoRR Zihan Wang, Jialin Lu, Oliver Snow, Martin Ester
2021	J	`jnl`	CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
2021	J	`jnl`	Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models. Briefings Bioinform. Hossein Sharifi-Noghabi, Soheil Jahangiri-Tazehkand, Petr Smirnov, Casey Hon, Anthony Mammoliti, Sisira Kadambat Nair, Arvind Singh Mer, Martin Ester, Benjamin Haibe-Kains
2021	A*	`conf`	H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang
2021	J	`jnl`	Identification of differentially expressed gene modules in heterogeneous diseases. Bioinform. Olga I. Zolotareva, Sahand Khakabimamaghani, Olga I. Isaeva, Zoe Chervontseva, Alexey Savchik, Martin Ester
2021	A*	`conf`	Interpretable Drug Response Prediction using a Knowledge-based Neural Network. KDD Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester
2021	J	`jnl`	M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation. CoRR Raquel Aoki, Yizhou Chen, Martin Ester
2021	J	`jnl`	Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction. Nat. Mach. Intell. Hossein Sharifi-Noghabi, Parsa Alamzadeh Harjandi, Olga I. Zolotareva, Colin C. Collins, Martin Ester
2021	Misc	`conf`	ParKCa: Causal Inference with Partially Known Causes. PSB Raquel Aoki, Martin Ester
2020	J	`jnl`	AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics. Bioinform. Hossein Sharifi-Noghabi, Shuman Peng, Olga I. Zolotareva, Colin C. Collins, Martin Ester
2020	A*	`conf`	CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020	J	`jnl`	CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020	J	`jnl`	CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
2020	J	`jnl`	Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification. CoRR Shuman Peng, Weilian Song, Martin Ester
2020	A*	`conf`	DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang
2020	J	`jnl`	Domain Generalization via Semi-supervised Meta Learning. CoRR Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester
2020	A*	`conf`	Heidegger: Interpretable Temporal Causal Discovery. KDD Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester
2020	A*	`conf`	Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
2020	A	`conf`	Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. CIKM Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li
2020	J	`jnl`	ParKCa: Causal Inference with Partially Known Causes. CoRR Raquel Aoki, Martin Ester
2019	J	`jnl`	A Deep Bayesian Tensor-Based System for Video Recommendation. ACM Trans. Inf. Syst. Wei Lu, Fu-Lai Chung, Wenhao Jiang, Martin Ester, Wei Liu
2019	J	`jnl`	An Active Approach for Model Interpretation. CoRR Jialin Lu, Martin Ester
2019	J	`jnl`	Collaborative intra-tumor heterogeneity detection. Bioinform. Sahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, Dujian Ding, Ryan D. Morin, Leonid Chindelevitch, Martin Ester
2019	J	`jnl`	Hierarchical Graph Pooling with Structure Learning. CoRR Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
2019	J	`jnl`	MOLI: multi-omics late integration with deep neural networks for drug response prediction. Bioinform. Hossein Sharifi-Noghabi, Olga I. Zolotareva, Colin C. Collins, Martin Ester
2019	A	`conf`	Multi-task based Sales Predictions for Online Promotions. CIKM Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang
2019	J	`jnl`	SUBSTRA: Supervised Bayesian Patient Stratification. Bioinform. Sahand Khakabimamaghani, Yogeshwar D. Kelkar, Bruno M. Grande, Ryan D. Morin, Martin Ester, Daniel Ziemek
2019	J	`jnl`	Tissue-Specific Subcellular Localization Prediction Using Multi-Label Markov Random Fields. IEEE ACM Trans. Comput. Biol. Bioinform. Lu Zhu, Ralf Hofestädt, Martin Ester
2019	J	`jnl`	Uncovering the subtype-specific temporal order of cancer pathway dysregulation. PLoS Comput. Biol. Sahand Khakabimamaghani, Dujian Ding, Oliver Snow, Martin Ester
2018	A*	`conf`	ANRL: Attributed Network Representation Learning via Deep Neural Networks. IJCAI Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
2018	—	`ch.`	Density-Based Clustering. Encyclopedia of Database Systems (2nd ed.) Martin Ester
2018	A	`conf`	Device-Aware Rule Recommendation for the Internet of Things. CIKM Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai
2018	J	`jnl`	HUME: large-scale detection of causal genetic factors of adverse drug reactions. Bioinform. Mehrdad Mansouri, Bowei Yuan, Colin J. D. Ross, Bruce C. Carleton, Martin Ester
2018	A*	`conf`	Joint User- and Event- Driven Stable Social Event Organization. WWW Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester
2018	A*	`conf`	Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. KDD Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang
2018	A	`conf`	Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang
2018	J	`jnl`	PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction. CoRR Qingyuan Feng, Evgenia V. Dueva, Artem Cherkasov, Martin Ester
2018	A	`conf`	PRRE: Personalized Relation Ranking Embedding for Attributed Networks. CIKM Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang
2018	A	`ed.`	Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA. SDM Martin Ester, Dino Pedreschi
2018	A*	`conf`	ROSC: Robust Spectral Clustering on Multi-scale Data. WWW Xiang Li, Ben Kao, Siqiang Luo, Martin Ester
2018	A*	`conf`	Social Recommendation with Missing Not at Random Data. ICDM Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen
2018	—	`ch.`	Topic Modeling in Online Social Media, User Features and Social Networks for. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Bo Hu, Zhao Song, Martin Ester
2018	—	`ch.`	User Behavior in Online Social Networks: Influencing Factors. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Bo Hu, Mohsen Jamali, Martin Ester
2017	—	`conf`	Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins. BCB Lu Zhu, Martin Ester
2017	J	`jnl`	DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
2017	A	`conf`	Interactive Social Recommendation. CIKM Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester
2017	A*	`conf`	Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen
2017	J	`jnl`	Microscopic and Macroscopic Spatio-Temporal Topic Models for Check-in Data. IEEE Trans. Knowl. Data Eng. Yu Liu, Martin Ester, Yuqiu Qian, Bo Hu, David W. Cheung
2017	—	`conf`	Provider-Consumer Anomaly Detection for Healthcare Systems. ICHI Luiz F. M. Carvalho, Carlos H. C. Teixeira, Wagner Meira Jr., Martin Ester, Osvaldo Carvalho, Maria Helena Brandao
2017	A*	`conf`	Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
2017	J	`jnl`	SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines. J. Cheminformatics Tong He, Marten Heidemeyer, Fuqiang Ban, Artem Cherkasov, Martin Ester
2016	C	`conf`	Activity monitoring using topic models. ISI Boshra Nabaei, Martin Ester
2016	Misc	`conf`	Bayesian Biclustering for Patient Stratification. PSB Sahand Khakabimamaghani, Martin Ester
2016	A	`conf`	CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering. WSDM Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Yang
2016	A	`conf`	Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. WSDM Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester
2016	A*	`conf`	Community-Based Question Answering via Heterogeneous Social Network Learning. AAAI Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester
2016	J	`jnl`	Detecting Singleton Review Spammers Using Semantic Similarity. CoRR Vlad Sandulescu, Martin Ester
2016	A*	`conf`	Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. AAAI Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu
2016	A	`conf`	Social Recommendation with Strong and Weak Ties. CIKM Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen
2016	J	`jnl`	Structural Analysis of User Choices for Mobile App Recommendation. CoRR Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
2016	J	`jnl`	Structural Analysis of User Choices for Mobile App Recommendation. ACM Trans. Knowl. Discov. Data Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
2016	A*	`conf`	The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. KDD Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai
2016	A*	`conf`	Which to View: Personalized Prioritization for Broadcast Emails. WWW Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai
2015	—	`conf`	Detecting Singleton Review Spammers Using Semantic Similarity. WWW (Companion Volume) Vlad Sandulescu, Martin Ester
2015	A	`conf`	FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering. WSDM Yao Wu, Martin Ester
2015	A*	`conf`	Spatio-Temporal Topic Models for Check-in Data. ICDM Yu Liu, Martin Ester, Bo Hu, David W. Cheung
2014	B	`ed.`	2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014 ASONAM Xindong Wu, Martin Ester, Guandong Xu
2014	A*	`conf`	A Sentiment-aligned Topic Model for Product Aspect Rating Prediction. EMNLP Hao Wang, Martin Ester
2014	B	`conf`	CRIMETRACER: Activity space based crime location prediction. ASONAM Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham
2014	—	`conf`	Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD (1) Brigitte Boden, Martin Ester, Thomas Seidl
2014	A	`ed.`	Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014 RecSys Alfred Kobsa, Michelle X. Zhou, Martin Ester, Yehuda Koren
2014	A*	`conf`	Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks. ICDM Bo Hu, Martin Ester
2014	A*	`conf`	Spatially embedded co-offence prediction using supervised learning. KDD Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham
2014	—	`ch.`	Topic Modeling in Online Social Media, User Features, and Social Networks for. Encyclopedia of Social Network Analysis and Mining Bo Hu, Zhao Song, Martin Ester
2014	—	`ch.`	User Behavior in Online Social Networks, Influencing Factors. Encyclopedia of Social Network Analysis and Mining Bo Hu, Mohsen Jamali, Martin Ester
2014	A*	`conf`	Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. AAAI Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai
2013	—	`ch.`	Density-Based Clustering. Data Clustering: Algorithms and Applications Martin Ester
2013	—	`conf`	Finding contexts of social influence in online social networks. SNAKDD Jennifer H. Nguyen, Bo Hu, Stephan Günnemann, Martin Ester
2013	A	`conf`	RecSys challenge 2013. RecSys Jim Blomo, Martin Ester, Marty Field
2013	A	`conf`	Recommendation in social networks. RecSys Martin Ester
2013	A	`conf`	Spatial topic modeling in online social media for location recommendation. RecSys Bo Hu, Martin Ester
2013	A*	`conf`	Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation. ICDM Bo Hu, Mohsen Jamali, Martin Ester
2013	A*	`conf`	The FLDA model for aspect-based opinion mining: addressing the cold start problem. WWW Samaneh Moghaddam, Martin Ester
2013	J	`jnl`	The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. IEEE Trans. Knowl. Data Eng. Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
2012	A*	`conf`	Aspect-based opinion mining from product reviews. SIGIR Samaneh Moghaddam, Martin Ester
2012	A*	`conf`	Assessing the Significance of Data Mining Results on Graphs with Feature Vectors. ICDM Stephan Günnemann, Phuong Dao, Mohsen Jamali, Martin Ester
2012	A	`conf`	ETF: extended tensor factorization model for personalizing prediction of review helpfulness. WSDM Samaneh Moghaddam, Mohsen Jamali, Martin Ester
2012	B	`conf`	Learning the Strength of the Factors Influencing User Behavior in Online Social Networks. ASONAM Bo Hu, Mohsen Jamali, Martin Ester
2012	J	`jnl`	On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach. IEEE Trans. Knowl. Data Eng. Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J. M. Jones
2012	A	`conf`	On the design of LDA models for aspect-based opinion mining. CIKM Samaneh Moghaddam, Martin Ester
2012	B	`conf`	User Features and Social Networks for Topic Modeling in Online Social Media. ASONAM Bo Hu, Zhao Song, Martin Ester
2011	A*	`conf`	A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks. IJCAI Mohsen Jamali, Martin Ester
2011	A	`conf`	A generalized stochastic block model for recommendation in social rating networks. RecSys Mohsen Jamali, Tianle Huang, Martin Ester
2011	—	`conf`	AQA: Aspect-based Opinion Question Answering. ICDM Workshops Samaneh Moghaddam, Martin Ester
2011	—	`ch.`	Co-offending Network Mining. Counterterrorism and Open Source Intelligence Patricia L. Brantingham, Martin Ester, Richard Frank, Uwe Glässer, Mohammad A. Tayebi
2011	A	`conf`	CrimeWalker: a recommendation model for suspect investigation. RecSys Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glässer, Richard Frank
2011	A*	`conf`	ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. SIGIR Samaneh Moghaddam, Martin Ester
2011	A*	`conf`	Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns. WWW Mohsen Jamali, Gholamreza Haffari, Martin Ester
2011	J	`jnl`	Optimally discriminative subnetwork markers predict response to chemotherapy. Bioinform. Phuong Dao, Kendric Wang, Colin C. Collins, Martin Ester, Anna Lapuk, Süleyman Cenk Sahinalp
2011	A	`conf`	Review recommendation: personalized prediction of the quality of online reviews. CIKM Samaneh Moghaddam, Mohsen Jamali, Martin Ester
2010	B	`conf`	A Data Mining Approach to XML Dissemination. WISE Xiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou
2010	A	`conf`	A matrix factorization technique with trust propagation for recommendation in social networks. RecSys Mohsen Jamali, Martin Ester
2010	A*	`conf`	Evaluating skylines in the presence of equijoins. ICDE Wen Jin, Michael D. Morse, Jignesh M. Patel, Martin Ester, Zengjian Hu
2010	—	`conf`	FVC: A Feature-Vector-Based Classification for XML Dissemination. DASFAA Workshops Xiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou
2010	B	`conf`	Graph-based pigment network detection in skin images. Image Processing Maryam Sadeghi, Majid Razmara, Martin Ester, Tim K. Lee, M. Stella Atkins
2010	J	`jnl`	Inferring cancer subnetwork markers using density-constrained biclustering. Bioinform. Phuong Dao, Recep Colak, Raheleh Salari, Flavia Moser, Elai Davicioni, Alexander Schönhuth, Martin Ester
2010	—	`conf`	Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks. ICDM Workshops Mohsen Jamali, Martin Ester
2010	A	`conf`	Opinion digger: an unsupervised opinion miner from unstructured product reviews. CIKM Samaneh Moghaddam, Martin Ester
2010	J	`jnl`	PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinform. Nancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, Süleyman Cenk Sahinalp, Martin Ester, Leonard J. Foster, Fiona S. L. Brinkman
2010	—	`conf`	Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy. WAIM Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester, Aoying Zhou
2010	A	`conf`	Supervised identification and linking of concept mentions to a domain-specific ontology. CIKM Gabor Melli, Martin Ester
2009	A*	`conf`	A multi-relational approach to spatial classification. KDD Richard Frank, Martin Ester, Arno J. Knobbe
2009	—	`conf`	Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery. CSE (4) Amin Milani Fard, Martin Ester
2009	Misc	`conf`	Dense Graphlet Statistics of Protein Interaction and Random Networks. Pacific Symposium on Biocomputing Recep Colak, Fereydoun Hormozdiari, Flavia Moser, Alexander Schönhuth, J. Holman, Martin Ester, Süleyman Cenk Sahinalp
2009	—	`ch.`	Density-based Clustering. Encyclopedia of Database Systems Martin Ester
2009	A	`conf`	FeedbackTrust: using feedback effects in trust-based recommendation systems. RecSys Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi
2009	—	`ch.`	Hierarchical Document Clustering. Encyclopedia of Data Warehousing and Mining Benjamin C. M. Fung, Ke Wang, Martin Ester
2009	J	`jnl`	KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis CoRR Obi L. Griffith, Byron J. Gao, Mikhail Bilenky, Yuliya Prichyna, Martin Ester, Steven J. M. Jones
2009	A	`conf`	Mining Cohesive Patterns from Graphs with Feature Vectors. SDM Flavia Moser, Recep Colak, Arash Rafiey, Martin Ester
2009	C	`conf`	Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks. WABI Phuong Dao, Alexander Schönhuth, Fereydoun Hormozdiari, Iman Hajirasouliha, Süleyman Cenk Sahinalp, Martin Ester
2009	J	`jnl`	Slider - maximum use of probability information for alignment of short sequence reads and SNP detection. Bioinform. Nawar Malhis, Yaron S. N. Butterfield, Martin Ester, Steven J. M. Jones
2009	A	`conf`	Using a trust network to improve top-N recommendation. RecSys Mohsen Jamali, Martin Ester
2008	J	`jnl`	Join Bayes Nets: A new type of Bayes net for relational data CoRR Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester
2008	J	`jnl`	Joint cluster analysis of attribute data and relationship data: The connected ACM Trans. Knowl. Discov. Data Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe
2008	J	`jnl`	Robust projected clustering. Knowl. Inf. Syst. Gabriela Moise, Jörg Sander, Martin Ester
2007	—	`conf`	A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions. PKDD Richard Frank, Flavia Moser, Martin Ester
2007	J	`jnl`	Association Rules in the Relational Calculus CoRR Oliver Schulte, Flavia Moser, Martin Ester, Zhiyong Lu
2007	A*	`conf`	Constraint-driven clustering. KDD Rong Ge, Martin Ester, Wen Jin, Ian Davidson
2007	A*	`conf`	Efficient incremental constrained clustering. KDD Ian Davidson, S. S. Ravi, Martin Ester
2007	B	`conf`	Efficiently Mining Regional Outliers in Spatial Data. SSTD Richard Frank, Wen Jin, Martin Ester
2007	A*	`conf`	Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. KDD Flavia Moser, Rong Ge, Martin Ester
2007	A*	`conf`	On Dominating Your Neighborhood Profitably. VLDB Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester
2007	B	`conf`	On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. SSDBM Wen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han
2007	—	`conf`	Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts. LBM (Short Papers) Gabor Melli, Martin Ester, Anoop Sarkar
2007	A*	`conf`	The Multi-Relational Skyline Operator. ICDE Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han
2007	A*	`conf`	The minimum consistent subset cover problem and its applications in data mining. KDD Byron J. Gao, Martin Ester, Jin-Yi Cai, Oliver Schulte, Hui Xiong
2006	B	`conf`	A Disc-based Approach to Data Summarization and Privacy Preservation. SSDBM Rong Ge, Martin Ester, Wen Jin, Zengjian Hu
2006	A	`conf`	Cluster Description Formats, Problems and Algorithms. SDM Byron J. Gao, Martin Ester
2006	A	`conf`	Density-Based Clustering over an Evolving Data Stream with Noise. SDM Feng Cao, Martin Ester, Weining Qian, Aoying Zhou
2006	A*	`conf`	Discovering significant OPSM subspace clusters in massive gene expression data. KDD Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones
2006	A	`conf`	Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. SDM Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe
2006	A*	`conf`	P3C: A Robust Projected Clustering Algorithm. ICDM Gabriela Moise, Jörg Sander, Martin Ester
2006	—	`conf`	Right of Inference: Nearest Rectangle Learning Revisited. ECML Byron J. Gao, Martin Ester
2006	J	`jnl`	Towards multidimensional subspace skyline analysis. ACM Trans. Database Syst. Jian Pei, Yidong Yuan, Xuemin Lin, Wen Jin, Martin Ester, Qing Liu, Wei Wang, Yufei Tao, Jeffrey Xu Yu, Qing Zhang
2006	A*	`conf`	Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. ICDM Byron J. Gao, Martin Ester
2005	A*	`conf`	Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. VLDB Jian Pei, Wen Jin, Martin Ester, Yufei Tao
2005	—	`conf`	Efficient Processing of Ranked Queries with Sweeping Selection. PKDD Wen Jin, Martin Ester, Jiawei Han
2005	J	`jnl`	PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis. Bioinform. Jennifer L. Gardy, Matthew R. Laird, Fei Chen, Sébastien Rey, C. J. Walsh, Martin Ester, Fiona S. L. Brinkman
2004	A	`conf`	A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences. SDM Martin Ester, Xiang Zhang
2004	A*	`conf`	A microeconomic data mining problem: customer-oriented catalog segmentation. KDD Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
2004	A*	`conf`	Accurate and Efficient Crawling for Relevant Websites. VLDB Martin Ester, Hans-Peter Kriegel, Matthias Schubert
2004	—	`conf`	Mining Thick Skylines over Large Databases. PKDD Wen Jin, Jiawei Han, Martin Ester
2003	J	`jnl`	Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*. Knowl. Inf. Syst. Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
2003	A*	`conf`	Frequent-subsequence-based prediction of outer membrane proteins. KDD Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman
2003	A	`conf`	Hierarchical Document Clustering using Frequent Itemsets. SDM Benjamin C. M. Fung, Ke Wang, Martin Ester
2003	J	`jnl`	PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. Nucleic Acids Res. Jennifer L. Gardy, Cory Spencer, Ke Wang, Martin Ester, Gábor E. Tusnády, István Simon, Sujun Hua, Katalin de Fays, Christophe G. Lambert, Kenta Nakai, Fiona S. L. Brinkman
2003	—	`conf`	Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications. PKDD Stefan Holland, Martin Ester, Werner Kießling
2002	A*	`conf`	Frequent term-based text clustering. KDD Florian Beil, Martin Ester, Xiaowei Xu
2002	A	`conf`	Instance Selection Techniques for Memory-based Collaborative Filtering. SDM Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel
2002	A*	`conf`	Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. KDD Martin Ester, Hans-Peter Kriegel, Matthias Schubert
2001	—	`conf`	Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address). DEXA Workshop Kai Yu, Zhong Wen, Xiaowei Xu, Martin Ester
2001	J	`jnl`	Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. IEEE Trans. Knowl. Data Eng. Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
2001	A	`conf`	Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. CIKM Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel
2000	A*	`conf`	Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. ICDE Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander
2000	—	`book`	Knowledge Discovery in Databases - Techniken und Anwendungen Martin Ester, Jörg Sander
2000	J	`jnl`	Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. Data Min. Knowl. Discov. Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
2000	A*	`conf`	The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses. ICDE Martin Ester, Jörn Kohlhammer, Hans-Peter Kriegel
2000	A*	`conf`	Towards an effective cooperation of the user and the computer for classification. KDD Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
1999	Misc	`conf`	Database Primitives for Spatial Data Mining. BTW Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander
1999	J	`jnl`	Knowledge Discovery in Spatial Databases (Abstract). Datenbank Rundbr. Martin Ester
1999	—	`conf`	Knowledge Discovery in Spatial Databases. DAGM-Symposium Martin Ester, Hans-Peter Kriegel, Jörg Sander
1999	Misc	`conf`	Knowledge Discovery in Spatial Databases. KI Martin Ester, Hans-Peter Kriegel, Jörg Sander
1999	J	`jnl`	Perception-Based Classification. Informatica (Slovenia) Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel
1999	A*	`conf`	Visual Classification: An Interactive Approach to Decision Tree Construction. KDD Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel
1998	A*	`conf`	A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander
1998	A*	`conf`	Algorithms for Characterization and Trend Detection in Spatial Databases. KDD Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander
1998	J	`jnl`	Clustering for Mining in Large Spatial Databases. Künstliche Intell. Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
1998	J	`jnl`	Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Min. Knowl. Discov. Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
1998	A*	`conf`	Incremental Clustering for Mining in a Data Warehousing Environment. VLDB Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu
1998	B	`conf`	Incremental Generalization for Mining in a Data Warehousing Environment. EDBT Martin Ester, Rüdiger Wittmann
1997	A*	`conf`	Density-Connected Sets and their Application for Trend Detection in Spatial Databases. KDD Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
1997	—	`conf`	Spatial Data Mining: A Database Approach. SSD Martin Ester, Hans-Peter Kriegel, Jörg Sander
1996	A*	`conf`	A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu
1996	—	`conf`	Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental Results. German Conference on Bioinformatics Martin Ester, Hans-Peter Kriegel, Stefan Wirth
1995	A*	`conf`	A Database Interface for Clustering in Large Spatial Databases. KDD Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
1995	Misc	`conf`	Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. BTW Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu
1995	—	`conf`	Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
1989	—	`—`	Konsistenzwerkzeuge für PROLOG-Wissensbasen. Martin Ester
1987	—	`conf`	KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung. Expertensysteme Hans-Jürgen Appelrath, Martin Ester, Heinrich Jasper, Alfred Ultsch
1985	—	`conf`	Integrity in a Knowledge Based Office Information System: Modeling with Extended SDM and Implementation with Prolog. Büroautomation Hans-Jürgen Appelrath, Martin Ester