Daniel Schwartz

Orcid: 0000-0002-7301-2622

According to our database1, Daniel Schwartz authored at least 22 papers between 1997 and 2022.

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Bibliography

2022
Identifying Food Labeling Effects on Consumer Behavior.
Mark. Sci., 2022

EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting.
CoRR, 2022

Linguistic Approach to Segmenting Source Code.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

D<sup>2</sup>FO: Distributed Dynamic Offloading Mechanism for Time-Sensitive Tasks in Fog-Cloud IoT-based Systems.
Proceedings of the IEEE International Performance, 2022

2021
Are non-contingent incentives more effective in motivating <i>new</i> behavior? Evidence from the field.
Games Econ. Behav., 2021

Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems.
Proceedings of the International Joint Conference on Neural Networks, 2021

Deployment of Embedded Edge-AI for Wildlife Monitoring in Remote Regions.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

HyNet: 3D Segmentation Using Hybrid Graph Networks.
Proceedings of the International Conference on 3D Vision, 2021

2020
A fast algorithm to delineate watershed boundaries for simple geometries.
Environ. Model. Softw., 2020

Challenges of Securing and Defending Unmanned Aerial Vehicles.
Proceedings of the National Cyber Summit (NCS) Research Track 2020, 2020

Regularization and Sparsity for Adversarial Robustness and Stable Attribution.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Learning Spiking Neural Network Models of Drosophila Olfaction.
Proceedings of the International Conference on Neuromorphic Systems, 2020

Fusion Learning on Multiple-Tag RFID Measurements for Respiratory Rate Monitoring.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2014
Multi-mode cellular transceivers for LTE and LTE-Advanced.
Proceedings of the IEEE 2014 Custom Integrated Circuits Conference, 2014

2011
Invited: "Going viral" with biological sequence analysis.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

2009
Integrating user experience into free/libre open source software: CHI 2009 special interest group.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2005
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., 2005

Interactivity and Learning.
Proceedings of the Artificial Intelligence in Education, 2005

2004
Improving Risk Grouping Rules for Prostate Cancer Patients with Optimization.
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004

2003
Improving Risk Grouping Rules for Prostate Cancer Patients Using Self-Organizing Maps.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

1999
Knowledge Engineering for Very Large Decision-analytic Medical Models.
Proceedings of the AMIA 1999, 1999

1997
d-rhum.
Proceedings of the ACM SIGGRAPH 97 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '97, 1997


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