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Matthew Harding
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2020 – today
- 2022
- [i4]Matthew Harding, Gabriel F. R. Vasconcelos:
Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings? CoRR abs/2202.04218 (2022) - 2021
- [i3]Giacomo De Giorgi, Matthew Harding, Gabriel F. R. Vasconcelos:
Predicting Mortality from Credit Reports. CoRR abs/2111.03662 (2021) - 2020
- [c5]Iljoo Baek, Matthew Harding, Akshit Kanda, Kyung Ryeol Choi, Soheil Samii, Ragunathan Raj Rajkumar:
CARSS: Client-Aware Resource Sharing and Scheduling for Heterogeneous Applications. RTAS 2020: 324-335
2010 – 2019
- 2018
- [c4]Matthew Harding, Nicolas Van der Noot, Bruno Somers, Renaud Ronsse, Auke Jan Ijspeert:
Augmented Neuromuscular Gait Controller Enables Real-time Tracking of Bipedal Running Speed. BioRob 2018: 364-371 - [i2]Matthew Harding, Carlos Lamarche:
A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment. CoRR abs/1808.03364 (2018) - 2016
- [c3]Siddhartha S. Srinivasa, Aaron M. Johnson, Gilwoo Lee, Michael C. Koval, Shushman Choudhury, Jennifer E. King, Christopher M. Dellin, Matthew Harding, David T. Butterworth, Prasanna Velagapudi, Allison Thackston:
A System for Multi-step Mobile Manipulation: Architecture, Algorithms, and Experiments. ISER 2016: 254-265 - 2015
- [c2]Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin:
Scalable Probabilistic Tensor Factorization for Binary and Count Data. IJCAI 2015: 3770-3776 - [c1]Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin:
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. ECML/PKDD (2) 2015: 53-70 - [i1]Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin:
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data. CoRR abs/1508.04211 (2015)
Coauthor Index
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