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ORCIDMartin Ester
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- affiliation: Simon Fraser University, Burnaby, Canada
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2020 – today
- 2024
[j40]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)- [j39]Oliver Snow, Amirreza Kazemi, Forum Bhanshali, Alyas Nasiri, Annett Rozek, Martin Ester:
Identifying Synergistic Components of Botanical Fungicide Formulations Using Interpretable Graph Neural Networks. J. Chem. Inf. Model. 64(15): 5786-5795 (2024) - [c130]Amirreza Kazemi, Martin Ester:
Adversarially Balanced Representation for Continuous Treatment Effect Estimation. AAAI 2024: 13085-13093 - [c129]Yuzhen Mao, Martin Ester, Ke Li:
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. ICLR 2024 - [i23]Yuzhen Mao, Martin Ester, Ke Li:
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs. CoRR abs/2405.02842 (2024) - [i22]Grayson Lee, Tony Shen, Martin Ester:
Geometric-informed GFlowNets for Structure-Based Drug Design. CoRR abs/2406.10867 (2024) - [i21]Michael Hartung, Andreas Maier, Fernando Delgado-Chaves, Yuliya Burankova, Olga I. Isaeva, Fábio Malta de Sá Patroni, Daniel He, Casey Shannon, Katharina Kaufmann, Jens 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:
UnPaSt: unsupervised patient stratification by differentially expressed biclusters in omics data. CoRR abs/2408.00200 (2024) - 2023
- [j38]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): 545-559 (2023) - [i20]Tony Shen, Mohit Pandey, Jason R. Smith, Artem Cherkasov, Martin Ester:
TacoGFN: Target Conditioned GFlowNet for Structure-Based Drug Design. CoRR abs/2310.03223 (2023) - [i19]Amirreza Kazemi, Martin Ester:
Adversarially Balanced Representation for Continuous Treatment Effect Estimation. CoRR abs/2312.10570 (2023) - 2022
- [j37]Mehrdad Mansouri, Sahand Khakabimamaghani, Leonid Chindelevitch, Martin Ester:
Aristotle: stratified causal discovery for omics data. BMC Bioinform. 23(1): 42 (2022) - [j36]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): 1980-1992 (2022) - [j35]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): 29:1-29:23 (2022) - [i18]Raquel Aoki, Martin Ester:
Causal Inference from Small High-dimensional Datasets. CoRR abs/2205.09281 (2022) - [i17]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 abs/2206.07579 (2022) - [i16]Ali Arab, Dev Arora, Jialin Lu, Martin Ester:
Subgroup Discovery in Unstructured Data. CoRR abs/2207.07781 (2022) - 2021
- [j34]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) - [j33]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): 1691-1698 (2021) - [j32]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): 962-972 (2021) - [j31]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): 34:1-34:24 (2021) - [c128]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: 2274-2284 - [c127]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: 3558-3568 - [c126]Raquel Aoki, Martin Ester:
ParKCa: Causal Inference with Partially Known Causes. PSB 2021 - [i15]Zihan Wang, Jialin Lu, Oliver Snow, Martin Ester:
An Interactive Visualization Tool for Understanding Active Learning. CoRR abs/2111.04936 (2021) - [i14]Raquel Aoki, Yizhou Chen, Martin Ester:
M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation. CoRR abs/2112.07574 (2021) - 2020
- [j30]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): i380-i388 (2020) - [c125]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: 6949-6956 - [c124]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: 2845-2852 - [c123]Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. KDD 2020: 439-449 - [c122]Mehrdad Mansouri, Ali Arab, Zahra Zohrevand, Martin Ester:
Heidegger: Interpretable Temporal Causal Discovery. KDD 2020: 1688-1696 - [c121]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: 3049-3055 - [i13]Raquel Aoki, Martin Ester:
ParKCa: Causal Inference with Partially Known Causes. CoRR abs/2003.07952 (2020) - [i12]Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester:
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. CoRR abs/2006.04435 (2020) - [i11]Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester:
Domain Generalization via Semi-supervised Meta Learning. CoRR abs/2009.12658 (2020) - [i10]Shuman Peng, Weilian Song, Martin Ester:
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification. CoRR abs/2011.00179 (2020) - [i9]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 abs/2011.07739 (2020)
2010 – 2019
- 2019
- [j29]Sahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, Dujian Ding, Ryan D. Morin, Leonid Chindelevitch, Martin Ester:
Collaborative intra-tumor heterogeneity detection. Bioinform. 35(14): i379-i388 (2019) - [j28]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): i501-i509 (2019) - [j27]Sahand Khakabimamaghani, Yogeshwar D. Kelkar, Bruno M. Grande, Ryan D. Morin, Martin Ester, Daniel Ziemek:
SUBSTRA: Supervised Bayesian Patient Stratification. Bioinform. 35(18): 3263-3272 (2019) - [j26]Sahand Khakabimamaghani, Dujian Ding, Oliver Snow, Martin Ester:
Uncovering the subtype-specific temporal order of cancer pathway dysregulation. PLoS Comput. Biol. 15(11) (2019) - [j25]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): 1471-1482 (2019) - [j24]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): 7:1-7:22 (2019) - [c120]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: 2823-2831 - [i8]Jialin Lu, Martin Ester:
An Active Approach for Model Interpretation. CoRR abs/1910.12207 (2019) - [i7]Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhi Yu, Can Wang:
Hierarchical Graph Pooling with Structure Learning. CoRR abs/1911.05954 (2019) - 2018
- [j23]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): 4274-4283 (2018) - [c119]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: 823-832 - [c118]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: 953-962 - [c117]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: 2037-2045 - [c116]Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen:
Social Recommendation with Missing Not at Random Data. ICDM 2018: 29-38 - [c115]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: 3155-3161 - [c114]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: 886-894 - [c113]Xiang Li, Ben Kao, Siqiang Luo, Martin Ester:
ROSC: Robust Spectral Clustering on Multi-scale Data. WWW 2018: 157-166 - [c112]Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester:
Joint User- and Event- Driven Stable Social Event Organization. WWW 2018: 1513-1522 - [e3]Martin Ester, Dino Pedreschi:
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. SIAM 2018, ISBN 978-1-61197-532-1 [contents] - [r7]Martin Ester:
Density-Based Clustering. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Bo Hu, Mohsen Jamali, Martin Ester:
User Behavior in Online Social Networks: Influencing Factors. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r5]Bo Hu, Zhao Song, Martin Ester:
Topic Modeling in Online Social Media, User Features and Social Networks for. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i6]Qingyuan Feng, Evgenia V. Dueva, Artem Cherkasov, Martin Ester:
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction. CoRR abs/1807.09741 (2018) - 2017
- [j22]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): 24:1-24:14 (2017) - [j21]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): 1957-1970 (2017) - [j20]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): 19:1-19:21 (2017) - [c111]Lu Zhu, Martin Ester:
Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins. BCB 2017: 321-329 - [c110]Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester:
Interactive Social Recommendation. CIKM 2017: 357-366 - [c109]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: 229-238 - [c108]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: 1601-1610 - [c107]Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng:
Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW 2017: 1621-1629 - 2016
- [j19]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): 17:1-17:23 (2016) - [c106]Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester:
Community-Based Question Answering via Heterogeneous Social Network Learning. AAAI 2016: 122-128 - [c105]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: 1331-1337 - [c104]Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen:
Social Recommendation with Strong and Weak Ties. CIKM 2016: 5-14 - [c103]Boshra Nabaei, Martin Ester:
Activity monitoring using topic models. ISI 2016: 115-120 - [c102]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: 1895-1904 - [c101]Sahand Khakabimamaghani, Martin Ester:
Bayesian Biclustering for Patient Stratification. PSB 2016: 345-356 - [c100]Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Yang:
CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering. WSDM 2016: 73-82 - [c99]Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester:
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. WSDM 2016: 153-162 - [c98]Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai:
Which to View: Personalized Prioritization for Broadcast Emails. WWW 2016: 1181-1190 - [i5]Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester:
Structural Analysis of User Choices for Mobile App Recommendation. CoRR abs/1605.07980 (2016) - [i4]Vlad Sandulescu, Martin Ester:
Detecting Singleton Review Spammers Using Semantic Similarity. CoRR abs/1609.02727 (2016) - 2015
- [c97]Yu Liu, Martin Ester, Bo Hu, David W. Cheung:
Spatio-Temporal Topic Models for Check-in Data. ICDM 2015: 889-894 - [c96]Yao Wu, Martin Ester:
FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering. WSDM 2015: 199-208 - [c95]Vlad Sandulescu, Martin Ester:
Detecting Singleton Review Spammers Using Semantic Similarity. WWW (Companion Volume) 2015: 971-976 - 2014
- [c94]Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai:
Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. AAAI 2014: 173-179 - [c93]Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham:
CRIMETRACER: Activity space based crime location prediction. ASONAM 2014: 472-480 - [c92]Hao Wang, Martin Ester:
A Sentiment-aligned Topic Model for Product Aspect Rating Prediction. EMNLP 2014: 1192-1202 - [c91]Bo Hu, Martin Ester:
Social Topic Modeling for Point-of-Interest Recommendation in Location-Based Social Networks. ICDM 2014: 845-850 - [c90]Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham:
Spatially embedded co-offence prediction using supervised learning. KDD 2014: 1789-1798 - [c89]Brigitte Boden, Martin Ester, Thomas Seidl:
Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD (1) 2014: 149-164 - [e2]Xindong Wu, Martin Ester, Guandong Xu:
2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5877-1 [contents] - [e1]Alfred Kobsa, Michelle X. Zhou, Martin Ester, Yehuda Koren:
Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014. ACM 2014, ISBN 978-1-4503-2668-1 [contents] - [r4]Bo Hu, Zhao Song, Martin Ester:
Topic Modeling in Online Social Media, User Features, and Social Networks for. Encyclopedia of Social Network Analysis and Mining 2014: 2178-2191 - [r3]Bo Hu, Mohsen Jamali, Martin Ester:
User Behavior in Online Social Networks, Influencing Factors. Encyclopedia of Social Network Analysis and Mining 2014: 2289-2302 - 2013
- [j18]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): 690-703 (2013) - [c88]Bo Hu, Mohsen Jamali, Martin Ester:
Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation. ICDM 2013: 1073-1078 - [c87]Jennifer H. Nguyen, Bo Hu, Stephan Günnemann, Martin Ester:
Finding contexts of social influence in online social networks. SNAKDD 2013: 1:1-1:9 - [c86]Bo Hu, Martin Ester:
Spatial topic modeling in online social media for location recommendation. RecSys 2013: 25-32 - [c85]Jim Blomo, Martin Ester, Marty Field:
RecSys challenge 2013. RecSys 2013: 489-490 - [c84]Martin Ester:
Recommendation in social networks. RecSys 2013: 491-492 - [c83]Samaneh Moghaddam, Martin Ester:
The FLDA model for aspect-based opinion mining: addressing the cold start problem. WWW 2013: 909-918 - [p2]Martin Ester:
Density-Based Clustering. Data Clustering: Algorithms and Applications 2013: 111-126 - 2012
- [j17]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): 309-325 (2012) - [c82]Bo Hu, Zhao Song, Martin Ester:
User Features and Social Networks for Topic Modeling in Online Social Media. ASONAM 2012: 202-209 - [c81]Bo Hu, Mohsen Jamali, Martin Ester:
Learning the Strength of the Factors Influencing User Behavior in Online Social Networks. ASONAM 2012: 368-375 - [c80]Samaneh Moghaddam, Martin Ester:
On the design of LDA models for aspect-based opinion mining. CIKM 2012: 803-812 - [c79]Stephan Günnemann, Phuong Dao, Mohsen Jamali, Martin Ester:
Assessing the Significance of Data Mining Results on Graphs with Feature Vectors. ICDM 2012: 270-279 - [c78]Samaneh Moghaddam, Martin Ester:
Aspect-based opinion mining from product reviews. SIGIR 2012: 1184 - [c77]Samaneh Moghaddam, Mohsen Jamali, Martin Ester:
ETF: extended tensor factorization model for personalizing prediction of review helpfulness. WSDM 2012: 163-172 - 2011
- [j16]Phuong Dao, Kendric Wang, Colin C. Collins, Martin Ester, Anna Lapuk, Süleyman Cenk Sahinalp:
Optimally discriminative subnetwork markers predict response to chemotherapy. Bioinform. 27(13): 205-213 (2011) - [c76]Samaneh Moghaddam, Mohsen Jamali, Martin Ester:
Review recommendation: personalized prediction of the quality of online reviews. CIKM 2011: 2249-2252 - [c75]Samaneh Moghaddam, Martin Ester:
AQA: Aspect-based Opinion Question Answering. ICDM Workshops 2011: 89-96 - [c74]Mohsen Jamali, Martin Ester:
A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks. IJCAI 2011: 2644-2649 - [c73]Mohsen Jamali, Tianle Huang, Martin Ester:
A generalized stochastic block model for recommendation in social rating networks. RecSys 2011: 53-60 - [c72]Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glässer, Richard Frank:
CrimeWalker: a recommendation model for suspect investigation. RecSys 2011: 173-180 - [c71]Samaneh Moghaddam, Martin Ester:
ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. SIGIR 2011: 665-674 - [c70]Mohsen Jamali, Gholamreza Haffari, Martin Ester:
Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns. WWW 2011: 527-536 - [p1]Patricia L. Brantingham, Martin Ester, Richard Frank, Uwe Glässer, Mohammad A. Tayebi:
Co-offending Network Mining. Counterterrorism and Open Source Intelligence 2011: 73-102 - 2010
- [j15]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:
PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinform. 26(13): 1608-1615 (2010) - [j14]Phuong Dao, Recep Colak, Raheleh Salari, Flavia Moser, Elai Davicioni, Alexander Schönhuth, Martin Ester:
Inferring cancer subnetwork markers using density-constrained biclustering. Bioinform. 26(18) (2010)