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Found 13 papers, 4 papers with code
Fault Detection and Tolerant Control for Aero2 2D0F Two-rotor Helicopter
Stability and satisfactory performance are critical control requirements for Unmanned Aerial Vehicle (UAV) applications.
Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network
In financial fraud detection, the modus operandi of criminals can be identified by analyzing user profile and their behaviors such as transaction, loaning etc.
Frequency-Aware Contrastive Learning for Neural Machine Translation
Inspired by the observation that low-frequency words form a more compact embedding space, we tackle this challenge from a representation learning perspective.
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation
This paper proposes a sophisticated neural architecture to incorporate bilingual dictionaries into Neural Machine Translation (NMT) models.
Multi-Hop Transformer for Document-Level Machine Translation
Document-level neural machine translation (NMT) has proven to be of profound value for its effectiveness on capturing contextual information.
Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach
Due to the distributed characteristics of Federated Learning (FL), the vulnerability of global model and coordination of devices are the main obstacle.
Maximizing Error Injection Realism for Chaos Engineering with System Calls
In this paper, we present a novel fault injection framework for system call invocation errors, called Phoebe.
Software Engineering
Automatic Observability for Dockerized Java Applications
In this paper, we present a novel approach, called POBS, to automatically improve the observability of Dockerized Java applications.
Software Engineering
Observability and Chaos Engineering on System Calls for Containerized Applications in Docker
The unique feature of ChaosOrca is that it conducts experiments under production-like workload without instrumenting the application.
Software Engineering
PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network
This paper presents the system in SemEval-2019 Task 3, {``}EmoContext: Contextual Emotion Detection in Text{''}.
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks
Deep neural networks (DNNs) have been widely used in the fields such as natural language processing, computer vision and image recognition.
TripleAgent: Monitoring, Perturbation And Failure-obliviousness for Automated Resilience Improvement in Java Applications
In this paper, we present a novel system for fault injection in production for Java applications.
Software Engineering
A Chaos Engineering System for Live Analysis and Falsification of Exception-handling in the JVM
In this paper, we propose a novel design and implementation of a chaos engineering system in Java called CHAOSMACHINE.
Software Engineering
