Jessica Lin

According to our database, Jessica Lin authored at least 86 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification.

Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin

CoRR, 2023

PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series.

Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series.

Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Robust Time Series Chain Discovery with Incremental Nearest Neighbors.

Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

CPM: A general feature dependency pattern mining framework for contrast multivariate time series.

Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin

Pattern Recognit., 2021

Time series clustering in linear time complexity.

Xiaosheng Li, Jessica Lin, Liang Zhao

Data Min. Knowl. Discov., 2021

Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach.

Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun

Cryptogr., 2021

Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events.

Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi

Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 2021

2020

Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment.

Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin

ACM Trans. Spatial Algorithms Syst., 2020

Semantic Discord: Finding Unusual Local Patterns for Time Series.

Li Zhang, Yifeng Gao, Jessica Lin

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features.

Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Ensemble Grammar Induction For Detecting Anomalies in Time Series.

Yifeng Gao, Jessica Lin, Constantin Brif

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network.

Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

HIME: discovering variable-length motifs in large-scale time series.

Yifeng Gao, Jessica Lin

Knowl. Inf. Syst., 2019

An agent-based system with temporal data mining for monitoring financial stability on insurance markets.

Iqbal Owadally, Feng Zhou, Rasaq Otunba, Jessica Lin, Douglas Wright

Expert Syst. Appl., 2019

Deep Stacked Ensemble Recommender.

Rasaq Otunba, Raimi A. Rufai, Jessica Lin

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Linear Time Motif Discovery in Time Series.

Xiaosheng Li, Jessica Lin

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest.

Xiaosheng Li, Jessica Lin, Liang Zhao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.

Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series.

Yifeng Gao, Jessica Lin

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Finding Meaningful Contrast Patterns for Quantitative Data.

Rohan Khade, Jessica Lin, Nital Patel

Proceedings of the Advances in Database Technology, 2019

2018

GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

ACM Trans. Knowl. Discov. Data, 2018

Exact variable-length anomaly detection algorithm for univariate and multivariate time series.

Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun

Data Min. Knowl. Discov., 2018

Exploring variable-length time series motifs in one hundred million length scale.

Yifeng Gao, Jessica Lin

Data Min. Knowl. Discov., 2018

Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series.

Yifeng Gao, Jessica Lin

CoRR, 2018

Evolving Separating References for Time Series Classification.

Xiaosheng Li, Jessica Lin

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification.

Daoyuan Li, Jessica Lin, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon

Proceedings of the 21st International Conference on Extending Database Technology, 2018

Finding Contrast Patterns for Mixed Streaming Data (Application track).

Rohan Khade, Jessica Lin, Nital Patel

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

STAVIS 2.0: Mining Spatial Trajectories via Motifs.

Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates

Proceedings of the Advances in Spatial and Temporal Databases, 2017

MPR: Multi-Objective Pairwise Ranking.

Rasaq Otunba, Raimi A. Rufai, Jessica Lin

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory.

Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features.

Xiaosheng Li, Jessica Lin

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs.

Yifeng Gao, Jessica Lin, Huzefa Rangwala

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Efficient discovery of time series motifs with large length range in million scale time series.

Yifeng Gao, Jessica Lin

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

A Uniform Representation for Trajectory Learning Tasks.

Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Improving the recognition of grips and movements of the hand using myoelectric signals.

Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber

BMC Medical Informatics Decis. Mak., 2016

RPM: Representative Pattern Mining for Efficient Time Series Classification.

Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

Proceedings of the 19th International Conference on Extending Database Technology, 2016

A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing.

Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms.

Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Frequent Set Mining for Streaming Mixed and Large Data.

Rohan Khade, Jessica Lin, Nital Patel

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Time series anomaly discovery with grammar-based compression.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein

Proceedings of the 18th International Conference on Extending Database Technology, 2015

A Generative Model For Time Series Discretization Based On Multiple Normal Distributions.

Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang

Proceedings of the 8th Workshop on Ph.D. Workshop in Information and Knowledge Management, 2015

Using myoelectric signals to recognize grips and movements of the hand.

Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

APT: Approximate Period Detection in Time Series.

Rasaq Otunba, Jessica Lin

Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series.

Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

MBPD: Motif-Based Period Detection.

Rasaq Otunba, Jessica Lin, Pavel Senin

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

SAX-EFG: an evolutionary feature generation framework for time series classification.

Uday Kamath, Jessica Lin, Kenneth A. De Jong

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Multi-event decision making over multivariate time series.

Chun-Kit Ngan, Alexander Brodsky, Jessica Lin

Int. J. Inf. Decis. Sci., 2013

Motif discovery in spatial trajectories using grammar inference.

Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Rotation-invariant similarity in time series using bag-of-patterns representation.

Jessica Lin, Rohan Khade, Yuan Li

J. Intell. Inf. Syst., 2012

Visualizing Variable-Length Time Series Motifs.

Yuan Li, Jessica Lin, Tim Oates

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series.

Chun-Kit Ngan, Alexander Brodsky, Jessica Lin

Proceedings of the Fusing Decision Support Systems into the Fabric of the Context, 2012

2011

DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010).

Jessica Lin, Guido Cervone, Nigel Waters

ACM SIGSPATIAL Special, 2011

An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series.

Chun-Kit Ngan, Alexander Brodsky, Jessica Lin

Proceedings of the Enterprise Information Systems - 13th International Conference, 2011

A Service Framework for Learning, Querying and Monitoring Multivariate Time Series.

Chun-Kit Ngan, Alexander Brodsky, Jessica Lin

Proceedings of the ICEIS 2011, 2011

2010

Mining Time Series Data.

Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Observing Infinite-dimensional Dynamical Systems.

Jessica Lin, William Ott

SIAM J. Appl. Dyn. Syst., 2010

Assessment of error in air quality models using dynamic time warping.

Jessica Lin, Guido Cervone, Pasquale Franzese

Proceedings of the 2010 First International Workshop on Data Mining for Geoinformatics, 2010

Finding approximate frequent patterns in streaming medical data.

Jessica Lin, Yuan Li

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009

Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation.

Jessica Lin, Yuan Li

Proceedings of the Scientific and Statistical Database Management, 2009

Finding structurally different medical data.

Jessica Lin, Yuan Li

Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008

A novel Arabic lemmatization algorithm.

Eiman Tamah Al-Shammari, Jessica Lin

Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008

Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data.

Jessica Lin, David Etter, David DeBarr

Proceedings of the SIAM International Conference on Data Mining, 2008

A new Arabic stemming algorithm.

Eiman Tamah Al-Shammari, Jessica Lin

Proceedings of the ISCA Tutorial and Research Workshop on Experimental Linguistics, 2008

Towards an error-free Arabic stemming.

Eiman Tamah Al-Shammari, Jessica Lin

Proceedings of the Proceeding of the 2nd ACM workshop on Improving Non English Web Searching, 2008

2007

Finding the most unusual time series subsequence: algorithms and applications.

Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle

Knowl. Inf. Syst., 2007

Experiencing SAX: a novel symbolic representation of time series.

Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi

Data Min. Knowl. Discov., 2007

2006

Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications.

Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, Helga Van Herle

IEEE Trans. Inf. Technol. Biomed., 2006

Efficient Discovery of Unusual Patterns in Time Series.

Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu

New Gener. Comput., 2006

Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data.

Jessica Lin, Eamonn J. Keogh

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Finding Time Series Discords Based on Haar Transform.

Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Clustering of time-series subsequences is meaningless: implications for previous and future research.

Eamonn J. Keogh, Jessica Lin

Knowl. Inf. Syst., 2005

Visualizing and discovering non-trivial patterns in large time series databases.

Jessica Lin, Eamonn J. Keogh, Stefano Lonardi

Inf. Vis., 2005

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams.

Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence.

Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Approximations to Magic: Finding Unusual Medical Time Series.

Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Mining Time Series Data.

Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases.

Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Visually mining and monitoring massive time series.

Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Iterative Incremental Clustering of Time Series.

Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos

Proceedings of the Advances in Database Technology, 2004

We Have Seen the Future, and It Is Symbolic.

Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu

Proceedings of the ACSW Frontiers 2004, 2004 ACSW Workshops, 2004

2003

Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research.

Eamonn J. Keogh, Jessica Lin, Wagner Truppel

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research.

Jessica Lin, Eamonn J. Keogh, Wagner Truppel

Proceedings of the International Conference on Artificial Intelligence, 2003

Clustering of streaming time series is meaningless.

Jessica Lin, Eamonn J. Keogh, Wagner Truppel

Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

A symbolic representation of time series, with implications for streaming algorithms.

Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu

Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, 2003

2002

Mining Motifs in Massive Time Series Databases.

Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002