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2020 – today
- 2024
[i5]Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Campbell, Michael Y. Hu, Umang Bhatt, Brenden M. Lake, Thomas L. Griffiths:
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. CoRR abs/2402.03618 (2024)- [i4]Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang:
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2404.06214 (2024) - 2023
- [j26]Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho:
Latent State Models of Training Dynamics. Trans. Mach. Learn. Res. 2023 (2023) - [i3]Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho:
Latent State Models of Training Dynamics. CoRR abs/2308.09543 (2023) - 2022
- [c3]Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins, Jonathan D. Cohen, Nathaniel D. Daw, Karthik Narasimhan, Tom Griffiths:
Using natural language and program abstractions to instill human inductive biases in machines. NeurIPS 2022 - [i2]Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y. Hu, Robert D. Hawkins
, Nathaniel D. Daw, Jonathan D. Cohen, Karthik Narasimhan, Thomas L. Griffiths:
Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines. CoRR abs/2205.11558 (2022) - 2021
- [c2]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. NeurIPS 2021: 13794-13808 - 2020
- [j25]Kholekile L. Gwebu, Jing Wang, Michael Y. Hu:
Information security policy noncompliance: An integrative social influence model. Inf. Syst. J. 30(2): 220-269 (2020) - [i1]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. CoRR abs/2010.05150 (2020)
2010 – 2019
- 2012
- [j24]Kholekile L. Gwebu, Michael Y. Hu, Murali S. Shanker:
An experimental investigation into the effects of information revelation in multi-attribute reverse auctions. Behav. Inf. Technol. 31(6): 631-644 (2012) - 2010
- [j23]Jyhshyan Lan, Michael Y. Hu, Butje Eddy Patuwo, G. Peter Zhang:
An investigation of neural network classifiers with unequal misclassification costs and group sizes. Decis. Support Syst. 48(4): 582-591 (2010) - [j22]Mary E. Schramm, Kevin J. Trainor, Murali S. Shanker, Michael Y. Hu:
An agent-based diffusion model with consumer and brand agents. Decis. Support Syst. 50(1): 234-242 (2010) - [j21]Tuo Wang, Michael Y. Hu, Andy Wei Hao:
Name-Your-Own-Price seller's information revelation strategy with the presence of list-price channel. Electron. Mark. 20(2): 119-129 (2010) - [j20]Haiyang Chen, Michael Y. Hu, G. Peter Zhang:
Overcoming Liability of Foreignness: An Analysis of Early Foreign Investment in China. Int. J. Strateg. Decis. Sci. 1(3): 71-83 (2010)
2000 – 2009
- 2009
- [j19]Jyhshyan Lan, Victor L. Berardi, Butje Eddy Patuwo, Michael Y. Hu:
A joint investigation of misclassification treatments and imbalanced datasets on neural network performance. Neural Comput. Appl. 18(7): 689-706 (2009) - 2008
- [j18]Michael Y. Hu, Murali S. Shanker, G. Peter Zhang, Ming S. Hung:
Modeling consumer situational choice of long distance communication with neural networks. Decis. Support Syst. 44(4): 899-908 (2008) - 2007
- [j17]Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher:
The effect of sample size on the extended self-organizing map network - A market segmentation application. Comput. Stat. Data Anal. 51(12): 5940-5948 (2007) - 2006
- [j16]Michael Y. Hu, Christos Tsoukalas:
Conditional volatility properties of sleep-disordered breathing. Comput. Biol. Medicine 36(3): 303-312 (2006) - [j15]Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher:
An extended self-organizing map network for market segmentation - a telecommunication example. Decis. Support Syst. 42(1): 36-47 (2006) - [j14]Murali S. Shanker, Michael Y. Hu:
A Framework for Distance Education Effectiveness: An Illustration Using a Business Statistics Course. Int. J. Web Based Learn. Teach. Technol. 1(2): 1-17 (2006) - 2005
- [j13]Marvin D. Troutt, Michael Y. Hu, Murali S. Shanker:
A distribution-free approach to estimating best response values with application to mutual fund performance modeling. Eur. J. Oper. Res. 166(2): 520-527 (2005) - [c1]Melody Y. Kiang, Michael Y. Hu, Dorothy M. Fisher, Robert T. H. Chi:
The Effect of Sample Size on the Extended Self-Organizing Map Network for Market Segmentation. HICSS 2005 - 2004
- [j12]Victor L. Berardi, Butje Eddy Patuwo, Michael Y. Hu:
A principled approach for building and evaluating neural network classification models. Decis. Support Syst. 38(2): 233-246 (2004) - [j11]Michael Y. Hu, G. Peter Zhang, Haiyang Chen:
Modeling foreign equity control in Sino-foreign joint ventures with neural networks. Eur. J. Oper. Res. 159(3): 729-740 (2004) - 2003
- [j10]Michael Y. Hu, Christos Tsoukalas:
Explaining consumer choice through neural networks: The stacked generalization approach. Eur. J. Oper. Res. 146(3): 650-660 (2003) - 2002
- [j9]Ming S. Hung, Murali Shanker, Michael Y. Hu:
Estimating breast cancer risks using neural networks. J. Oper. Res. Soc. 53(2): 222-231 (2002) - 2001
- [j8]G. Peter Zhang, Butje Eddy Patuwo, Michael Y. Hu:
A simulation study of artificial neural networks for nonlinear time-series forecasting. Comput. Oper. Res. 28(4): 381-396 (2001)
1990 – 1999
- 1999
- [j7]Michael Y. Hu, Ming S. Hung, Butje Eddy Patuwo, Murali S. Shanker:
Estimating the performance of Sino‐Hong Kong joint ventures using neuralnetwork ensembles. Ann. Oper. Res. 87: 213-232 (1999) - [j6]Guoqiang Peter Zhang, Michael Y. Hu, Butje Eddy Patuwo, Daniel C. Indro:
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. Eur. J. Oper. Res. 116(1): 16-32 (1999) - 1995
- [j5]Sameer Prasad, David E. Booth, Michael Y. Hu:
Monitoring the Quality of a Chemical Production Process Using the Joint Estimation Method. J. Chem. Inf. Comput. Sci. 35(1): 53-58 (1995) - [j4]Paul R. Sebastian, David E. Booth, Michael Y. Hu:
Using polynomial smoothing and data bounding for the detection of nuclear material diversions and losses. J. Chem. Inf. Comput. Sci. 35(3): 442-450 (1995) - [j3]Abraham Mehrez, Michael Y. Hu:
Predictors of the outcome of a soccer game - a normative analysis illustrated for the Israeli Soccer League. Math. Methods Oper. Res. 42(3): 361-372 (1995) - 1994
- [j2]Paul R. Sebastian, David E. Booth, Michael Y. Hu:
Using Polynomial Smoothing and Data Bounding for the Detection of Adverse Process Changes in a Chemical Process. J. Chem. Inf. Comput. Sci. 34(4): 881-889 (1994) - 1993
- [j1]Venkat Subramanian, Ming S. Hung, Michael Y. Hu:
An experimental evaluation of neural networks for classification. Comput. Oper. Res. 20(7): 769-782 (1993)
Coauthor Index
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