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Edward Schwalb

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2020 – today

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2022
[c8]
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Edward Schwalb, Andreas Richter, Daniel Rohne:
Validating Autonomous Behaviors against Partially Specified Ambiguous Requirements. SMC 2022: 1342-1349
[c7]
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Daniel Rohne, Andreas Richter, Edward Schwalb:
Implementing ODD as single point of knowledge to support the development of automated driving. SMC 2022: 1364-1370
2021
[c6]
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Edward Schwalb:
Prototyping: Sample Selection for Imbalanced Data. CSCI 2021: 221-227
[c5]
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Edward Schwalb, Patrick Irvine, Xizhe Zhang, Siddartha Khastgir, Paul A. Jennings:
A Two-Level Abstraction ODD Definition Language: Part II. SMC 2021: 1669-1676
[c4]
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Patrick Irvine, Xizhe Zhang, Siddartha Khastgir, Edward Schwalb, Paul A. Jennings:
A Two-Level Abstraction ODD Definition Language: Part I. SMC 2021: 2614-2621
2020
[c3]
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Noah Schwalb, Edward Schwalb:
Applications of Particle Swarm Optimization to System Identification and Supervised Learning. IEEE BigData 2020: 94-101
[c2]
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Edward Schwalb:
Sketches: Fast Membership Scans for Continuous Variable Predicate Workloads. IEEE BigData 2020: 210-217
[c1]
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Edward Schwalb:
Accelerated Evaluation of Autonomous Drivers using Neural Network Quantile Generators. IEEE BigData 2020: 4751-4758

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