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2020 – today
- 2022
[j4]Sebastián Araya, Andrés Elberg
, Carlos Noton, Daniel Schwartz:
Identifying Food Labeling Effects on Consumer Behavior. Mark. Sci. 41(5): 982-1003 (2022)- [c18]Ismail Ataie, Tania Taami, Sadoon Azizi, Md Mainuddin, Daniel Schwartz:
D2FO: Distributed Dynamic Offloading Mechanism for Time-Sensitive Tasks in Fog-Cloud IoT-based Systems. IPCCC 2022: 360-366 - [c17]Aviel J. Stein, Daniel Schwartz, Yiwen Shi, Spiros Mancoridis:
Linguistic Approach to Segmenting Source Code. ICSC 2022: 177-178 - [i2]Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim:
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. CoRR abs/2204.07066 (2022) - 2021
- [j3]Angélica Córdova, Alex Imas, Daniel Schwartz:
Are non-contingent incentives more effective in motivating new behavior? Evidence from the field. Games Econ. Behav. 130: 602-615 (2021) - [c16]Bahareh Shakibajahromi, Saeed Shayestehmanesh, Daniel Schwartz, Ali Shokoufandeh:
HyNet: 3D Segmentation Using Hybrid Graph Networks. 3DV 2021: 805-814 - [c15]Daniel Schwartz, Jonathan Michael Gomes Selman, Peter H. Wrege, Andreas Paepcke:
Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions. ICMLA 2021: 1035-1042 - [c14]Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. IJCNN 2021: 1-8 - [i1]Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim:
Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. CoRR abs/2101.06511 (2021) - 2020
- [j2]Scott Haag, Daniel Schwartz, Bahareh Shakibajahromi, Michael Campagna, Ali Shokoufandeh:
A fast algorithm to delineate watershed boundaries for simple geometries. Environ. Model. Softw. 134: 104842 (2020) - [c13]Stephen Hansen, Daniel Schwartz, Jesse Stover, Md Abu Saleh Tajin, William M. Mongan, Kapil R. Dandekar:
Fusion Learning on Multiple-Tag RFID Measurements for Respiratory Rate Monitoring. BIBE 2020: 472-480 - [c12]John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat, Edward Kim:
Learning Spiking Neural Network Models of Drosophila Olfaction. ICONS 2020: 20:1-20:5 - [c11]Daniel Schwartz, Yigit Alparslan, Edward Kim:
Regularization and Sparsity for Adversarial Robustness and Stable Attribution. ISVC (1) 2020: 3-14 - [c10]William Goble, Elizabeth Braddy, Mike Burmester, Daniel Schwartz, Ryan Sloan, Demetra Drizis, Nitish Ahir, Melissa Ma, Matthew J. Bays, Matt Chastain:
Challenges of Securing and Defending Unmanned Aerial Vehicles. NCS 2020: 119-138
2010 – 2019
- 2014
- [c9]Patrick Rakers, Mohammed Alam, David Newman, Kurt Hausmann, Daniel Schwartz, Mahib Rahman, Mark Kirschenmann:
Multi-mode cellular transceivers for LTE and LTE-Advanced. CICC 2014: 1-8 - 2013
- [e1]Zhipeng Cai, Oliver Eulenstein, Daniel Janies, Daniel Schwartz:
Bioinformatics Research and Applications, 9th International Symposium, ISBRA 2013, Charlotte, NC, USA, May 20-22, 2013. Proceedings. Lecture Notes in Computer Science 7875, Springer 2013, ISBN 978-3-642-38035-8 [contents] - 2011
- [c8]Daniel Schwartz:
Invited: "Going viral" with biological sequence analysis. ICCABS 2011: 11
2000 – 2009
- 2009
- [c7]Daniel Schwartz, Allen Gunn:
Integrating user experience into free/libre open source software: CHI 2009 special interest group. CHI Extended Abstracts 2009: 2739-2742 - 2005
- [j1]Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally:
Data Mining with Combined Use of Optimization Techniques and Self-Organizing Maps for Improving Risk Grouping Rules: Application to Prostate Cancer Patients. J. Manag. Inf. Syst. 21(4): 85-100 (2005) - [c6]Daniel Schwartz:
Interactivity and Learning. AIED 2005: 6 - 2004
- [c5]Leonid Churilov, Adil M. Bagirov, Daniel Schwartz, Kate A. Smith, Michael Dally:
Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization. HICSS 2004 - 2003
- [c4]Daniel Schwartz, Kate A. Smith, Leonid Churilov, Michael Dally, Richard Weber:
Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps. HIS 2003: 126-136
1990 – 1999
- 1999
- [c3]Marek J. Druzdzel, Agnieszka Onisko, Daniel Schwartz, John N. Dowling, Hanna Wasyluk:
Knowledge Engineering for Very Large Decision-analytic Medical Models. AMIA 1999 - 1997
- [c2]Daniel Schwartz:
d-rhum. SIGGRAPH Visual Proceedings 1997: 70-71 - 1996
- [c1]Daniel Schwartz:
d-rhum. SIGGRAPH Visual Proceedings 1996: 67
Coauthor Index
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