Jessica Lin

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 49

Top Topics

Temporal Data Mining

Multivariate Time Series

Malware Detection

Driving Behavior

Top Venues

Publications

Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM (2023)
Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification. CoRR (2023)
Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. CoRR (2023)
Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin
Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series. SDM (2022)
Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. ICDM (2022)
Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin
Robust Time Series Chain Discovery with Incremental Nearest Neighbors. CoRR (2022)
Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS (2021)
Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5 (4) (2021)
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin
CPM: A general feature dependency pattern mining framework for contrast multivariate time series. Pattern Recognit. 112 (2021)
Xiaosheng Li, Jessica Lin, Liang Zhao
Time series clustering in linear time complexity. Data Min. Knowl. Discov. 35 (6) (2021)
Li Zhang, Yifeng Gao, Jessica Lin
Semantic Discord: Finding Unusual Local Patterns for Time Series. CoRR (2020)
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment. ACM Trans. Spatial Algorithms Syst. 6 (4) (2020)
Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI (2020)
Yifeng Gao, Jessica Lin, Constantin Brif
Ensemble Grammar Induction For Detecting Anomalies in Time Series. CoRR (2020)
Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI (2020)
Yifeng Gao, Jessica Lin, Constantin Brif
Ensemble Grammar Induction For Detecting Anomalies in Time Series. EDBT (2020)
Li Zhang, Yifeng Gao, Jessica Lin
Semantic Discord: Finding Unusual Local Patterns for Time Series. SDM (2020)
Yifeng Gao, Jessica Lin
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. CoRR (2019)
Iqbal Owadally, Feng Zhou, Rasaq Otunba, Jessica Lin, Douglas Wright
An agent-based system with temporal data mining for monitoring financial stability on insurance markets. Expert Syst. Appl. 123 (2019)
Rasaq Otunba, Raimi A. Rufai, Jessica Lin
Deep Stacked Ensemble Recommender. SSDBM (2019)
Yifeng Gao, Jessica Lin
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. ICDM (2019)
Yifeng Gao, Jessica Lin
HIME: discovering variable-length motifs in large-scale time series. Knowl. Inf. Syst. 61 (1) (2019)
Xiaosheng Li, Jessica Lin
Linear Time Motif Discovery in Time Series. SDM (2019)
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM (2019)
Rohan Khade, Jessica Lin, Nital Patel
Finding Meaningful Contrast Patterns for Quantitative Data. EDBT (2019)
Xiaosheng Li, Jessica Lin, Liang Zhao
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. IJCAI (2019)
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns. ACM Trans. Knowl. Discov. Data 12 (1) (2018)
Daoyuan Li, Jessica Lin, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification. EDBT (2018)
Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun
Exact variable-length anomaly detection algorithm for univariate and multivariate time series. Data Min. Knowl. Discov. 32 (6) (2018)
Yifeng Gao, Jessica Lin
Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series. CoRR (2018)
Xiaosheng Li, Jessica Lin
Evolving Separating References for Time Series Classification. SDM (2018)
Yifeng Gao, Jessica Lin
Exploring variable-length time series motifs in one hundred million length scale. Data Min. Knowl. Discov. 32 (5) (2018)
Rohan Khade, Jessica Lin, Nital Patel
Finding Contrast Patterns for Mixed Streaming Data (Application track). EDBT (2018)
Xiaosheng Li, Jessica Lin
Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. ICDM (2017)
Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates
STAVIS 2.0: Mining Spatial Trajectories via Motifs. SSTD (2017)
Yifeng Gao, Jessica Lin
Efficient discovery of time series motifs with large length range in million scale time series. ICDM (2017)
Rasaq Otunba, Raimi A. Rufai, Jessica Lin
MPR: Multi-Objective Pairwise Ranking. RecSys (2017)
Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala
A Uniform Representation for Trajectory Learning Tasks. SIGSPATIAL/GIS (2017)
Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala
TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) (2017)
Yifeng Gao, Jessica Lin, Huzefa Rangwala
IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICDM (2017)
Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber
Improving the recognition of grips and movements of the hand using myoelectric signals. BMC Medical Informatics Decis. Mak. 16 (S-2) (2016)
Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
RPM: Representative Pattern Mining for Efficient Time Series Classification. EDBT (2016)
Yifeng Gao, Jessica Lin, Huzefa Rangwala
Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICMLA (2016)
Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun
A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing. CIKM (2016)
Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber
Using myoelectric signals to recognize grips and movements of the hand. BIBM (2015)
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
Time series anomaly discovery with grammar-based compression. EDBT (2015)
Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang
A Generative Model For Time Series Discretization Based On Multiple Normal Distributions. PIKM@CIKM (2015)
Rohan Khade, Jessica Lin, Nital Patel
Frequent Set Mining for Streaming Mixed and Large Data. ICMLA (2015)
Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. ICMLA (2015)
Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series. ECML/PKDD (3) (2014)
Uday Kamath, Jessica Lin, Kenneth A. De Jong
SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO (2014)
Rasaq Otunba, Jessica Lin, Pavel Senin
MBPD: Motif-Based Period Detection. PAKDD Workshops (2014)
Rasaq Otunba, Jessica Lin
APT: Approximate Period Detection in Time Series. SEKE (2014)
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
Multi-event decision making over multivariate time series. Int. J. Inf. Decis. Sci. 5 (3) (2013)
Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi
Motif discovery in spatial trajectories using grammar inference. CIKM (2013)
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series. DSS (2012)
Yuan Li, Jessica Lin, Tim Oates
Visualizing Variable-Length Time Series Motifs. SDM (2012)
Jessica Lin, Rohan Khade, Yuan Li
Rotation-invariant similarity in time series using bag-of-patterns representation. J. Intell. Inf. Syst. 39 (2) (2012)
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS (2011)
Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
A Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS (2) (2011)
Jessica Lin, Guido Cervone, Nigel Waters
DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010). ACM SIGSPATIAL Special 3 (1) (2011)
Jessica Lin, Guido Cervone, Pasquale Franzese
Assessment of error in air quality models using dynamic time warping. GIS-DMG (2010)
Jessica Lin, Yuan Li
Finding approximate frequent patterns in streaming medical data. CBMS (2010)
Jessica Lin, William Ott
Observing Infinite-dimensional Dynamical Systems. SIAM J. Appl. Dyn. Syst. 9 (4) (2010)
Jessica Lin, Yuan Li
Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation. SSDBM (2009)
Jessica Lin, Yuan Li
Finding structurally different medical data. CBMS (2009)
Eiman Tamah Al-Shammari, Jessica Lin
A novel Arabic lemmatization algorithm. AND (2008)
Eiman Tamah Al-Shammari, Jessica Lin
Towards an error-free Arabic stemming. CIKM-iNEWS (2008)
Eiman Tamah Al-Shammari, Jessica Lin
A new Arabic stemming algorithm. ExLing (2008)
Jessica Lin, David Etter, David DeBarr
Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. SDM (2008)
Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle
Finding the most unusual time series subsequence: algorithms and applications. Knowl. Inf. Syst. 11 (1) (2007)
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi
Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Discov. 15 (2) (2007)
Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu
Efficient Discovery of Unusual Patterns in Time Series. New Gener. Comput. 25 (1) (2006)
Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin
Finding Time Series Discords Based on Haar Transform. ADMA (2006)
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, Helga Van Herle
Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. IEEE Trans. Inf. Technol. Biomed. 10 (3) (2006)
Jessica Lin, Eamonn J. Keogh
Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data. PKDD (2006)
Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle
Approximations to Magic: Finding Unusual Medical Time Series. CBMS (2005)
Eamonn J. Keogh, Jessica Lin
Clustering of time-series subsequences is meaningless: implications for previous and future research. Knowl. Inf. Syst. 8 (2) (2005)
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. ICDM (2005)
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le
A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD (2005)
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi
Visualizing and discovering non-trivial patterns in large time series databases. Inf. Vis. 4 (2) (2005)
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos
Iterative Incremental Clustering of Time Series. EDBT (2004)
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
Visually mining and monitoring massive time series. KDD (2004)
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases. VLDB (2004)
Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu
We Have Seen the Future, and It Is Symbolic. ACSW (2004)
Eamonn J. Keogh, Jessica Lin, Wagner Truppel
Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. ICDM (2003)
Jessica Lin, Eamonn J. Keogh, Wagner Truppel
Clustering of streaming time series is meaningless. DMKD (2003)
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu
A symbolic representation of time series, with implications for streaming algorithms. DMKD (2003)
Jessica Lin, Eamonn J. Keogh, Wagner Truppel
(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research. IC-AI (2003)
Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi
Mining Motifs in Massive Time Series Databases. ICDM (2002)