Martin Ester

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 73

Top Venues

ETH Zurich, Zürich, Switzerland (PHD)

Education History

ETH Zurich, Zürich, Switzerland

PHD

Publications

Yuzhen Mao, Yen-Yi Lin, Nelson K. Y. Wong, Stanislav Volik, Funda Sar, Colin C. Collins, Martin Ester
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. Bioinform. 40 (2) (2024)
Yuzhen Mao, Martin Ester, Ke Li
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. ICLR (2024)
Yuzhen Mao, Martin Ester, Ke Li
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. CoRR (2024)
Amirreza Kazemi, Martin Ester
Adversarially Balanced Representation for Continuous Treatment Effect Estimation. AAAI (2024)
Grayson Lee, Tony Shen, Martin Ester
Geometric-informed GFlowNets for Structure-Based Drug Design. CoRR (2024)
Tony Shen, Mohit Pandey, Jason R. Smith, Artem Cherkasov, Martin Ester
TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design. CoRR (2023)
Amirreza Kazemi, Martin Ester
Adversarially Balanced Representation for Continuous Treatment Effect Estimation. CoRR (2023)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang
Hierarchical Multi-View Graph Pooling With Structure Learning. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Raquel Aoki, Martin Ester
Causal Inference from Small High-dimensional Datasets. CoRR (2022)
Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR (2022)
Mehrdad Mansouri, Sahand Khakabimamaghani, Leonid Chindelevitch, Martin Ester
Aristotle: stratified causal discovery for omics data. BMC Bioinform. 23 (1) (2022)
Ali Arab, Dev Arora, Jialin Lu, Martin Ester
Subgroup Discovery in Unstructured Data. CoRR (2022)
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu
Direction-Aware User Recommendation Based on Asymmetric Network Embedding. ACM Trans. Inf. Syst. 40 (2) (2022)
Raquel Aoki, Yizhou Chen, Martin Ester
M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation. CoRR (2021)
Olga I. Zolotareva, Sahand Khakabimamaghani, Olga I Isaeva, Zoe Chervontseva, Alexey Savchik, Martin Ester
Identification of differentially expressed gene modules in heterogeneous diseases. Bioinform. 37 (12) (2021)
Oliver Snow, Hossein Sharifi-Noghabi, Jialin Lu, Olga I. Zolotareva, Mark Lee, Martin Ester
Interpretable Drug Response Prediction using a Knowledge-based Neural Network. KDD (2021)
Raquel Aoki, Martin Ester
ParKCa: Causal Inference with Partially Known Causes. PSB (2021)
Hossein Sharifi-Noghabi, Parsa Alamzadeh Harjandi, Olga I. Zolotareva, Colin C. Collins, Martin Ester
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction. Nat. Mach. Intell. 3 (11) (2021)
Zihan Wang, Jialin Lu, Oliver Snow, Martin Ester
An Interactive Visualization Tool for Understanding Active Learning. CoRR (2021)
Zhen Zhang, Jiajun Bu, Martin Ester, Zhao Li, Chengwei Yao, Zhi Yu, Can Wang
H2MN: Graph Similarity Learning with Hierarchical Hypergraph Matching Networks. KDD (2021)
Hossein Sharifi-Noghabi, Soheil Jahangiri-Tazehkand, Petr Smirnov, Casey Hon, Anthony Mammoliti, Sisira Kadambat Nair, Arvind Singh Mer, Martin Ester, Benjamin Haibe-Kains
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models. Briefings Bioinform. 22 (6) (2021)
Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. 39 (3) (2021)
Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester
Heidegger: Interpretable Temporal Causal Discovery. KDD (2020)
Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. CIKM (2020)
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD (2020)
Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR (2020)
Raquel Aoki, Martin Ester
ParKCa: Causal Inference with Partially Known Causes. CoRR (2020)
Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang
DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI (2020)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. WWW (2020)
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR (2020)
Shuman Peng, Weilian Song, Martin Ester
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification. CoRR (2020)
Hossein Sharifi-Noghabi, Shuman Peng, Olga I. Zolotareva, Colin C. Collins, Martin Ester
AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics. Bioinform. 36 (Supplement-1) (2020)
Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester
Domain Generalization via Semi-supervised Meta Learning. CoRR (2020)
Hossein Sharifi-Noghabi, Olga I. Zolotareva, Colin C. Collins, Martin Ester
MOLI: multi-omics late integration with deep neural networks for drug response prediction. Bioinform. 35 (14) (2019)
Sahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, Dujian Ding, Ryan D. Morin, Leonid Chindelevitch, Martin Ester
Collaborative intra-tumor heterogeneity detection. Bioinform. 35 (14) (2019)
Sahand Khakabimamaghani, Dujian Ding, Oliver Snow, Martin Ester
Uncovering the subtype-specific temporal order of cancer pathway dysregulation. PLoS Comput. Biol. 15 (11) (2019)
Wei Lu, Fu-Lai Chung, Wenhao Jiang, Martin Ester, Wei Liu
A Deep Bayesian Tensor-Based System for Video Recommendation. ACM Trans. Inf. Syst. 37 (1) (2019)
Lu Zhu, Ralf Hofestädt, Martin Ester
Tissue-Specific Subcellular Localization Prediction Using Multi-Label Markov Random Fields. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang
Multi-task based Sales Predictions for Online Promotions. CIKM (2019)
Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang
Hierarchical Graph Pooling with Structure Learning. CoRR (2019)
Sahand Khakabimamaghani, Yogeshwar D. Kelkar, Bruno M. Grande, Ryan D. Morin, Martin Ester, Daniel Ziemek
SUBSTRA: Supervised Bayesian Patient Stratification. Bioinform. 35 (18) (2019)
Jialin Lu, Martin Ester
An Active Approach for Model Interpretation. CoRR (2019)
Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai
Device-Aware Rule Recommendation for the Internet of Things. CIKM (2018)
Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM (2018)
Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang
PRRE: Personalized Relation Ranking Embedding for Attributed Networks. CIKM (2018)
Xin Shen, Hongxia Yang, Weizhao Xian, Martin Ester, Jiajun Bu, Zhongyao Wang, Can Wang
Mobile Access Record Resolution on Large-Scale Identifier-Linkage Graphs. KDD (2018)
Xiang Li, Ben Kao, Siqiang Luo, Martin Ester
ROSC: Robust Spectral Clustering on Multi-scale Data. WWW (2018)
Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
ANRL: Attributed Network Representation Learning via Deep Neural Networks. IJCAI (2018)
Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen
Social Recommendation with Missing Not at Random Data. ICDM (2018)
Mehrdad Mansouri, Bowei Yuan, Colin J. D. Ross, Bruce C. Carleton, Martin Ester
HUME: large-scale detection of causal genetic factors of adverse drug reactions. Bioinform. 34 (24) (2018)
Qingyuan Feng, Evgenia V. Dueva, Artem Cherkasov, Martin Ester
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction. CoRR (2018)
Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester
Joint User- and Event- Driven Stable Social Event Organization. WWW (2018)
Erich Schubert, Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN. ACM Trans. Database Syst. 42 (3) (2017)
Yu Liu, Martin Ester, Yuqiu Qian, Bo Hu, David W. Cheung
Microscopic and Macroscopic Spatio-Temporal Topic Models for Check-in Data. IEEE Trans. Knowl. Data Eng. 29 (9) (2017)
Tong He, Marten Heidemeyer, Fuqiang Ban, Artem Cherkasov, Martin Ester
SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines. J. Cheminformatics 9 (1) (2017)
Luiz F. M. Carvalho, Carlos H. C. Teixeira, Wagner Meira Jr., Martin Ester, Osvaldo Carvalho, Maria Helena Brandao
Provider-Consumer Anomaly Detection for Healthcare Systems. ICHI (2017)
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW (2017)
Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW (2017)
Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester
Interactive Social Recommendation. CIKM (2017)
Lu Zhu, Martin Ester
Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins. BCB (2017)
Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen
Social Recommendation with Strong and Weak Ties. CIKM (2016)
Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu
Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. AAAI (2016)
Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Yang
CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering. WSDM (2016)
Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. WSDM (2016)
Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester
Community-Based Question Answering via Heterogeneous Social Network Learning. AAAI (2016)
Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
Structural Analysis of User Choices for Mobile App Recommendation. CoRR (2016)
Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai
Which to View: Personalized Prioritization for Broadcast Emails. WWW (2016)
Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai
The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. KDD (2016)
Vlad Sandulescu, Martin Ester
Detecting Singleton Review Spammers Using Semantic Similarity. CoRR (2016)
Boshra Nabaei, Martin Ester
Activity monitoring using topic models. ISI (2016)
Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
Structural Analysis of User Choices for Mobile App Recommendation. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Sahand Khakabimamaghani, Martin Ester
Bayesian Biclustering for Patient Stratification. PSB (2016)
Yu Liu, Martin Ester, Bo Hu, David W. Cheung
Spatio-Temporal Topic Models for Check-in Data. ICDM (2015)
Yao Wu, Martin Ester
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering. WSDM (2015)
Vlad Sandulescu, Martin Ester
Detecting Singleton Review Spammers Using Semantic Similarity. WWW (Companion Volume) (2015)
Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. AAAI (2014)
Bo Hu, Martin Ester
Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks. ICDM (2014)
Brigitte Boden, Martin Ester, Thomas Seidl
Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD (1) (2014)
Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham
Spatially embedded co-offence prediction using supervised learning. KDD (2014)
Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham
CRIMETRACER: Activity space based crime location prediction. ASONAM (2014)
Hao Wang, Martin Ester
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction. EMNLP (2014)
Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. IEEE Trans. Knowl. Data Eng. 25 (3) (2013)
Jennifer H. Nguyen, Bo Hu, Stephan Günnemann, Martin Ester
Finding contexts of social influence in online social networks. SNAKDD (2013)
Martin Ester
Recommendation in social networks. RecSys (2013)
Bo Hu, Mohsen Jamali, Martin Ester
Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation. ICDM (2013)
Jim Blomo, Martin Ester, Marty Field
RecSys challenge 2013. RecSys (2013)
Samaneh Moghaddam, Martin Ester
The FLDA model for aspect-based opinion mining: addressing the cold start problem. WWW (2013)
Bo Hu, Martin Ester
Spatial topic modeling in online social media for location recommendation. RecSys (2013)
Bo Hu, Mohsen Jamali, Martin Ester
Learning the Strength of the Factors Influencing User Behavior in Online Social Networks. ASONAM (2012)
Samaneh Moghaddam, Mohsen Jamali, Martin Ester
ETF: extended tensor factorization model for personalizing prediction of review helpfulness. WSDM (2012)
Samaneh Moghaddam, Martin Ester
On the design of LDA models for aspect-based opinion mining. CIKM (2012)
Samaneh Moghaddam, Martin Ester
Aspect-based opinion mining from product reviews. SIGIR (2012)
Bo Hu, Zhao Song, Martin Ester
User Features and Social Networks for Topic Modeling in Online Social Media. ASONAM (2012)
Stephan Günnemann, Phuong Dao, Mohsen Jamali, Martin Ester
Assessing the Significance of Data Mining Results on Graphs with Feature Vectors. ICDM (2012)
Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J. M. Jones
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach. IEEE Trans. Knowl. Data Eng. 24 (2) (2012)
Samaneh Moghaddam, Mohsen Jamali, Martin Ester
Review recommendation: personalized prediction of the quality of online reviews. CIKM (2011)
Mohsen Jamali, Martin Ester
A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks. IJCAI (2011)
Samaneh Moghaddam, Martin Ester
AQA: Aspect-based Opinion Question Answering. ICDM Workshops (2011)
Mohsen Jamali, Tianle Huang, Martin Ester
A generalized stochastic block model for recommendation in social rating networks. RecSys (2011)

Martin Ester.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Martin Ester