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20132026
most citedTensor Decomposition for Signal Processing and Machine Learning

1.7k citations · 1.8k across the 76 of their papers we have counts for

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6 papers · 1 filter

cs.IR2026

Field-Aware Agent Skill Retrieval

Paimon Goulart, Liang Wu, Kelly Wan +2

As lifelong learning agents accumulate lifelong growing skill banks, retrieving the correct skill becomes an increasingly important bottleneck. Most current skill retrieval methods…

cs.IR2025

A Real-Time System to Populate FRA Form 57 from News

Chansong Lim, Haz Sameen Shahgir, Yue Dong +2

Local railway committees need timely situational awareness after highway-rail grade crossing incidents, yet official Federal Railroad Administration (FRA) investigations can take d…

cs.IR2024

Improving Out-of-Vocabulary Handling in Recommendation Systems

William Shiao, Mingxuan Ju, Zhichun Guo +5

Recommendation systems (RS) are an increasingly relevant area for both academic and industry researchers, given their widespread impact on the daily online experiences of billions…

cs.IR2020

RecTen: A Recursive Hierarchical Low Rank Tensor Factorization Method to Discover Hierarchical Patterns in Multi-modal Data

Risul Islam, Md Omar Faruk Rokon, Evangelos E. Papalexakis +1

How can we expand the tensor decomposition to reveal a hierarchical structure of the multi-modal data in a self-adaptive way? Current tensor decomposition provides only a single la…

cs.IR2018★ 8 cited

A Constrained Coupled Matrix-Tensor Factorization for Learning Time-evolving and Emerging Topics

Sanaz Bahargam, Evangelos E. Papalexakis

Topic discovery has witnessed a significant growth as a field of data mining at large. In particular, time-evolving topic discovery, where the evolution of a topic is taken into ac…

cs.IR2018

RIPEx: Extracting malicious IP addresses from security forums using cross-forum learning

Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos

Is it possible to extract malicious IP addresses reported in security forums in an automatic way? This is the question at the heart of our work. We focus on security forums, where…