Alex Mathai
According to our database1,
Alex Mathai
authored at least 10 papers
between 2020 and 2024.
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Timeline
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2021
2022
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs.
CoRR, 2024
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
The Landscape of Source Code Representation Learning in AI-Driven Software Engineering Tasks.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023
2022
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization.
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022
2021
Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation.
CoRR, 2021
Monolith to Microservices: Representing Application Software through Heterogeneous GNN.
CoRR, 2021
ReCLive: Real-Time Classification and QoE Inference of Live Video Streaming Services.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks.
CoRR, 2020