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2020 – today
- 2024
[j4]Thiti Suttaket
, Stanley Kok:
Interpretable Predictive Models for Healthcare via Rational Multi-Layer Perceptrons. ACM Trans. Manag. Inf. Syst. 15(3): 12:1-12:43 (2024)- [c26]Yan Sun, Stanley Kok:
Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs. ICIS 2024 - [c25]Xue Wen Tan, Kenneth See, Stanley Kok:
ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams. ICIS 2024 - [i5]Xue Wen Tan, Stanley Kok:
Explainable Risk Classification in Financial Reports. CoRR abs/2405.01881 (2024) - 2023
- [c24]Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing:
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. ACL (Findings) 2023: 932-946 - [c23]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL 2023: 2598-2609 - [c22]Xue Wen Tan, Stanley Kok:
Explainable Risk Classification in Financial Reports. ICIS 2023 - [i4]Jia Guo, Stanley Kok, Lidong Bing:
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. CoRR abs/2304.00824 (2023) - [i3]Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing:
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. CoRR abs/2305.19902 (2023) - 2022
- [c21]Thiti Suttaket, Stanley Kok:
In-Training Multicalibrated Survival Analysis For Healthcare via Constrained Optimization. ICIS 2022 - 2021
- [j3]Zhao Fang, Qiang Zhang, Stanley Kok, Ling Li, Anning Wang, Shanlin Yang:
Referent graph embedding model for name entity recognition of Chinese car reviews. Knowl. Based Syst. 233: 107558 (2021) - [c20]Jia Guo, Stanley Kok:
BiQUE: Biquaternionic Embeddings of Knowledge Graphs. EMNLP (1) 2021: 8338-8351 - [c19]Thiti Suttaket, L. Vivek Harsha Vardhan, Stanley Kok:
Interpretable Predictive Models for Healthcare via Rational Logistic Regression. ICIS 2021 - [i2]Jia Guo, Stanley Kok:
BiQUE: Biquaternionic Embeddings of Knowledge Graphs. CoRR abs/2109.14401 (2021) - 2020
- [j2]Liling Tan, Maggie Yundi Li, Stanley Kok:
E-Commerce Product Categorization via Machine Translation. ACM Trans. Manag. Inf. Syst. 11(3): 11:1-11:14 (2020) - [c18]L. Vivek Harsha Vardhan, Guo Jia, Stanley Kok:
Probabilistic Logic Graph Attention Networks for Reasoning. WWW (Companion Volume) 2020: 669-673
2010 – 2019
- 2018
- [c17]Maggie Yundi Li, Liling Tan, Stanley Kok, Ewa Szymanska:
Unconstrained Production Categorization with Sequence-to-Sequence Models. eCOM@SIGIR 2018 - [i1]Maggie Yundi Li, Stanley Kok, Liling Tan:
Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation. CoRR abs/1812.05774 (2018) - 2016
- [c16]Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi:
CrowdOp: Query optimization for declarative crowdsourcing systems. ICDE 2016: 1546-1547 - [c15]Bilal Mirza, Stanley Kok, Zhiping Lin, Yong Kiang Yeo, Xiaoping Lai, Jiuwen Cao, Jose Sepulveda:
Efficient representation learning for high-dimensional imbalance data. DSP 2016: 511-515 - [c14]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla:
Unifying Logical and Statistical AI. LICS 2016: 1-11 - 2015
- [j1]Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi:
CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE Trans. Knowl. Data Eng. 27(8): 2078-2092 (2015) - 2014
- [c13]Wei-Chen Cheng, Stanley Kok, Hoai Vu Pham, Hai Leong Chieu, Kian Ming Adam Chai:
Language modeling with sum-product networks. INTERSPEECH 2014: 2098-2102 - 2011
- [c12]Galileo Namata, Stanley Kok, Lise Getoor:
Collective graph identification. KDD 2011: 87-95 - 2010
- [c11]Stanley Kok, Pedro M. Domingos:
Using Structural Motifs for Learning Markov Logic Networks. StarAI@AAAI 2010 - [c10]Stanley Kok, Pedro M. Domingos:
Learning Markov Logic Networks Using Structural Motifs. ICML 2010: 551-558 - [c9]Stanley Kok, Chris Brockett:
Hitting the Right Paraphrases in Good Time. HLT-NAACL 2010: 145-153 - [p2]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla:
Markov Logic: A Language and Algorithms for Link Mining. Link Mining 2010: 135-161
2000 – 2009
- 2009
- [c8]Stanley Kok, Pedro M. Domingos:
Learning Markov logic network structure via hypergraph lifting. ICML 2009: 505-512 - 2008
- [c7]Stanley Kok, Pedro M. Domingos:
Extracting Semantic Networks from Text Via Relational Clustering. ECML/PKDD (1) 2008: 624-639 - [c6]Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla:
Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) 2008: 1-25 - [c5]Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang:
Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR 2008: 3 - [p1]Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla:
Markov Logic. Probabilistic Inductive Logic Programming 2008: 92-117 - 2007
- [c4]Stanley Kok, Pedro M. Domingos:
Statistical predicate invention. ICML 2007: 433-440 - 2006
- [c3]Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla:
Unifying Logical and Statistical AI. AAAI 2006: 2-9 - 2005
- [c2]Stanley Kok, Pedro M. Domingos:
Learning the structure of Markov logic networks. ICML 2005: 441-448 - 2004
- [c1]Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates:
Web-scale information extraction in knowitall: (preliminary results). WWW 2004: 100-110
Coauthor Index
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last updated on 2024-11-21 21:23 CET by the dblp team
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