Leslie Kanthan

According to our database1, Leslie Kanthan authored at least 19 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
evoML Yellow Paper: Evolutionary AI and Optimisation Studio.
CoRR, 2022

The Spoofing Resistance of Frequent Call Markets.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Real-time Detection of Practical Universal Adversarial Perturbations.
CoRR, 2021

Universal Adversarial Robustness of Texture and Shape-Biased Models.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Agent-based markets: equilibrium strategies and robustness.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Call Markets with Adaptive Clearing Intervals.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Fast Distributed <i>k</i>NN Graph Construction Using Auto-tuned Locality-sensitive Hashing.
ACM Trans. Intell. Syst. Technol., 2020

Better Model Selection with a new Definition of Feature Importance.
CoRR, 2020

IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning.
CoRR, 2020

Cryptocurrency Trading: A Comprehensive Survey.
CoRR, 2020

Ascertaining price formation in cryptocurrency markets with DeepLearning.
CoRR, 2020

Clone Detection on Large Scala Codebases.
Proceedings of the IEEE 14th International Workshop on Software Clones, 2020

Checkers: Multi-modal Darwinian API Optimisation.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019
Efficient graph construction for similarity search on high dimensional data.
PhD thesis, 2019

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training.
CoRR, 2019

2018
Darwinian data structure selection.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2017
Darwinian Data Structure Selection.
CoRR, 2017

Optimising Darwinian Data Structures on Google Guava.
Proceedings of the Search Based Software Engineering - 9th International Symposium, 2017

Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017


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