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Jerome Dinal Herath
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2020 – today
- 2022
- [j3]Oshan Mudannayake
, Disni Rathnayake
, Jerome Dinal Herath, Dinuni K. Fernando
, Mgnas Fernando:
Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation. IEEE Access 10: 122570-122585 (2022) - [c6]Jerome Dinal Herath, Priti Prabhakar Wakodikar, Ping Yang, Guanhua Yan:
CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs. DSN 2022: 172-184 - 2021
- [c5]Jerome Dinal Herath, Ping Yang, Guanhua Yan:
Real-Time Evasion Attacks against Deep Learning-Based Anomaly Detection from Distributed System Logs. CODASPY 2021: 29-40 - 2020
- [j2]Adita Kulkarni
, Anand Seetharam
, Arti Ramesh, Jerome Dinal Herath
:
DeepChannel: Wireless Channel Quality Prediction Using Deep Learning. IEEE Trans. Veh. Technol. 69(1): 443-456 (2020)
2010 – 2019
- 2019
- [j1]Jerome Dinal Herath
, Anand Seetharam
:
A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks. IEEE Trans. Veh. Technol. 68(1): 812-821 (2019) - [c4]Jerome Dinal Herath, Changxin Bai, Guanhua Yan, Ping Yang, Shiyong Lu:
RAMP: Real-Time Anomaly Detection in Scientific Workflows. IEEE BigData 2019: 1367-1374 - [c3]Dinuni K. Fernando, Siddharth Kulshrestha, Jerome Dinal Herath, Nitin Mahadik, Yanzhe Ma, Changxin Bai, Ping Yang, Guanhua Yan, Shiyong Lu:
SciBlock: A Blockchain-Based Tamper-Proof Non-Repudiable Storage for Scientific Workflow Provenance. CIC 2019: 81-90 - [c2]Jerome Dinal Herath, Anand Seetharam, Arti Ramesh:
A Deep Learning Model for Wireless Channel Quality Prediction. ICC 2019: 1-6 - 2018
- [c1]Jerome Dinal Herath, Anand Seetharam:
Analyzing Opportunistic Request Routing in Wireless Cache Networks. ICC 2018: 1-6
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