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20152026
most citedMalicious URL Detection using Machine Learning: A Survey

276 citations · 1.2k across the 50 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.AI2023★ 2 cited

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules

Hung Le, Hailin Chen, Amrita Saha +3

Large Language Models (LLMs) have already become quite proficient at solving simpler programming tasks like those in HumanEval or MBPP benchmarks. However, solving more complex and…

cs.LG2023★ 1 cited

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain

Gerald Woo, Chenghao Liu, Akshat Kumar +1

Time series has been left behind in the era of pre-training and transfer learning. While research in the fields of natural language processing and computer vision are enjoying prog…

cs.AI2023★ 4 cited

PyRCA: A Library for Metric-based Root Cause Analysis

Chenghao Liu, Wenzhuo Yang, Himanshu Mittal +3

We introduce PyRCA, an open-source Python machine learning library of Root Cause Analysis (RCA) for Artificial Intelligence for IT Operations (AIOps). It provides a holistic framew…

cs.LG2023

OTW: Optimal Transport Warping for Time Series

Fabian Latorre, Chenghao Liu, Doyen Sahoo +1

Dynamic Time Warping (DTW) has become the pragmatic choice for measuring distance between time series. However, it suffers from unavoidable quadratic time complexity when the optim…

cs.LG2023★ 20 cited

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges

Qian Cheng, Doyen Sahoo, Amrita Saha +6

Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big data generated by IT Operations processes, particularly in cloud infrastructures, to…

cs.AI2023★ 3 cited

LogAI: A Library for Log Analytics and Intelligence

Qian Cheng, Amrita Saha, Wenzhuo Yang +3

Software and System logs record runtime information about processes executing within a system. These logs have become the most critical and ubiquitous forms of observability data t…