An experimental evaluation of neural networks for classification. - Venkat Subramanian 001; Ming S. Hung; Michael Y. Hu (Comput. Oper. Res., 1993)

Using Polynomial Smoothing and Data Bounding for the Detection of Adverse Process Changes in a Chemical Process. - Paul R. Sebastian; David E. Booth; Michael Y. Hu (J. Chem. Inf. Comput. Sci., 1994)

Monitoring the Quality of a Chemical Production Process Using the Joint Estimation Method. - Sameer Prasad; David E. Booth; Michael Y. Hu (J. Chem. Inf. Comput. Sci., 1995)

Using polynomial smoothing and data bounding for the detection of nuclear material diversions and losses. - Paul R. Sebastian; David E. Booth; Michael Y. Hu (J. Chem. Inf. Comput. Sci., 1995)

Predictors of the outcome of a soccer game - a normative analysis illustrated for the Israeli Soccer League. - Abraham Mehrez; Michael Y. Hu (Math. Methods Oper. Res., 1995)

Estimating the performance of Sino‐Hong Kong joint ventures using neuralnetwork ensembles. - Michael Y. Hu; Ming S. Hung; Butje Eddy Patuwo; Murali S. Shanker (Ann. Oper. Res., 1999)

Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. - Guoqiang Peter Zhang; Michael Y. Hu; Butje Eddy Patuwo; Daniel C. Indro (Eur. J. Oper. Res., 1999)

A simulation study of artificial neural networks for nonlinear time-series forecasting. - G. Peter Zhang; Butje Eddy Patuwo; Michael Y. Hu (Comput. Oper. Res., 2001)

Estimating breast cancer risks using neural networks. - Ming S. Hung; Murali Shanker; Michael Y. Hu (J. Oper. Res. Soc., 2002)

Explaining consumer choice through neural networks: The stacked generalization approach. - Michael Y. Hu; Christos Tsoukalas (Eur. J. Oper. Res., 2003)

A principled approach for building and evaluating neural network classification models. - Victor L. Berardi; Butje Eddy Patuwo; Michael Y. Hu (Decis. Support Syst., 2004)

Modeling foreign equity control in Sino-foreign joint ventures with neural networks. - Michael Y. Hu; G. Peter Zhang; Haiyang Chen (Eur. J. Oper. Res., 2004)

The Effect of Sample Size on the Extended Self-Organizing Map Network for Market Segmentation. - Melody Y. Kiang; Michael Y. Hu; Dorothy M. Fisher; Robert T. H. Chi (HICSS, 2005)

A distribution-free approach to estimating best response values with application to mutual fund performance modeling. - Marvin D. Troutt; Michael Y. Hu; Murali S. Shanker (Eur. J. Oper. Res., 2005)

Conditional volatility properties of sleep-disordered breathing. - Michael Y. Hu; Christos Tsoukalas (Comput. Biol. Medicine, 2006)

An extended self-organizing map network for market segmentation - a telecommunication example. - Melody Y. Kiang; Michael Y. Hu; Dorothy M. Fisher (Decis. Support Syst., 2006)

A Framework for Distance Education Effectiveness: An Illustration Using a Business Statistics Course. - Murali S. Shanker; Michael Y. Hu (Int. J. Web Based Learn. Teach. Technol., 2006)

The effect of sample size on the extended self-organizing map network - A market segmentation application. - Melody Y. Kiang; Michael Y. Hu; Dorothy M. Fisher (Comput. Stat. Data Anal., 2007)

Modeling consumer situational choice of long distance communication with neural networks. - Michael Y. Hu; Murali S. Shanker; G. Peter Zhang; Ming S. Hung (Decis. Support Syst., 2008)

A joint investigation of misclassification treatments and imbalanced datasets on neural network performance. - Jyhshyan Lan; Victor L. Berardi; Butje Eddy Patuwo; Michael Y. Hu (Neural Comput. Appl., 2009)

An investigation of neural network classifiers with unequal misclassification costs and group sizes. - Jyhshyan Lan; Michael Y. Hu; Butje Eddy Patuwo; G. Peter Zhang (Decis. Support Syst., 2010)

An agent-based diffusion model with consumer and brand agents. - Mary E. Schramm; Kevin J. Trainor; Murali S. Shanker; Michael Y. Hu (Decis. Support Syst., 2010)

Name-Your-Own-Price seller's information revelation strategy with the presence of list-price channel. - Tuo Wang; Michael Y. Hu; Andy Wei Hao (Electron. Mark., 2010)

Overcoming Liability of Foreignness: An Analysis of Early Foreign Investment in China. - Haiyang Chen; Michael Y. Hu; G. Peter Zhang (Int. J. Strateg. Decis. Sci., 2010)

An experimental investigation into the effects of information revelation in multi-attribute reverse auctions. - Kholekile L. Gwebu; Michael Y. Hu; Murali S. Shanker (Behav. Inf. Technol., 2012)

Information security policy noncompliance: An integrative social influence model. - Kholekile L. Gwebu; Jing Wang 074; Michael Y. Hu (Inf. Syst. J., 2020)

Safe Reinforcement Learning with Natural Language Constraints. - Tsung-Yen Yang; Michael Y. Hu; Yinlam Chow; Peter J. Ramadge; Karthik Narasimhan (NeurIPS, 2021)

Using natural language and program abstractions to instill human inductive biases in machines. - Sreejan Kumar; Carlos G. Correa; Ishita Dasgupta 001; Raja Marjieh; Michael Y. Hu; Robert D. Hawkins; Jonathan D. Cohen 003; Nathaniel D. Daw; Karthik Narasimhan; Tom Griffiths 001 (NeurIPS, 2022)

Latent State Models of Training Dynamics. - Michael Y. Hu; Angelica Chen; Naomi Saphra; Kyunghyun Cho (Trans. Mach. Learn. Res., 2023)

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction. - Sreejan Kumar; Raja Marjieh; Byron Zhang; Declan Campbell; Michael Y. Hu; Umang Bhatt; Brenden M. Lake; Thomas L. Griffiths 001 (CoRR, 2024)

[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. - Leshem Choshen; Ryan Cotterell; Michael Y. Hu; Tal Linzen; Aaron Mueller; Candace Ross; Alex Warstadt; Ethan Wilcox; Adina Williams; Chengxu Zhuang (CoRR, 2024)

Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Michael Y. Hu; Aaron Mueller; Candace Ross; Adina Williams; Tal Linzen; Chengxu Zhuang; Ryan Cotterell; Leshem Choshen; Alex Warstadt; Ethan Gotlieb Wilcox (CoRR, 2024)

Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases. - Michael Y. Hu; Jackson Petty; Chuan Shi; William Merrill; Tal Linzen (ACL (1), 2025)

Aioli: A Unified Optimization Framework for Language Model Data Mixing. - Mayee F. Chen; Michael Y. Hu; Nicholas Lourie; Kyunghyun Cho; Christopher Ré (ICLR, 2025)

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. - Lucas Charpentier; Leshem Choshen; Ryan Cotterell; Mustafa Omer Gul; Michael Y. Hu; Jaap Jumelet; Tal Linzen; Jing Liu; Aaron Mueller; Candace Ross; Raj Sanjay Shah; Alex Warstadt; et al. (CoRR, 2025)

RELIC: Evaluating Compositional Instruction Following via Language Recognition. - Jackson Petty; Michael Y. Hu; Wentao Wang; Shauli Ravfogel; William Merrill; Tal Linzen (CoRR, 2025)

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check. - Nicholas Lourie; Michael Y. Hu; Kyunghyun Cho (CoRR, 2025)