Jessica Lin - RankMe

100 papers A* 13A 11B 14C 6Misc 1Journal 31Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series. CoRR Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin
2025	—	`conf`	"I Forgot About You": Exploring Multi-Label Unlearning (MLU) for Responsible Facial Recognition Systems. ECML/PKDD (5) Prommy Sultana Hossain, Emanuela Marasco, Jessica Lin, Michael King
2025	—	`conf`	Toward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs. EMNLP (Findings) Prommy Sultana Hossain, Chahat Raj, Ziwei Zhu, Jessica Lin, Emanuela Marasco
2024	—	`conf`	Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification. PAKDD (6) Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin
2024	J	`jnl`	RandomNet: Clustering Time Series Using Untrained Deep Neural Networks. CoRR Xiaosheng Li, Wenjie Xi, Jessica Lin
2024	J	`jnl`	Randomnet: clustering time series using untrained deep neural networks. Data Min. Knowl. Discov. Xiaosheng Li, Wenjie Xi, Jessica Lin
2024	J	`jnl`	VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification. CoRR Wenjie Xi, Rundong Zuo, Alejandro Álvarez, Jie Zhang, Byron Choi, Jessica Lin
2023	J	`jnl`	LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification. CoRR Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin
2023	A	`conf`	PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. SDM Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
2023	J	`jnl`	PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. CoRR Li Zhang, Jiahao Ding, Yifeng Gao, Jessica Lin
2022	A	`conf`	Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series. SDM Li Zhang, Nital Patel, Xiuqi Li, Jessica Lin
2022	A*	`conf`	Robust Time Series Chain Discovery with Incremental Nearest Neighbors. ICDM Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin
2022	J	`jnl`	Robust Time Series Chain Discovery with Incremental Nearest Neighbors. CoRR Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin
2021	C	`conf`	Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi
2021	J	`jnl`	CPM: A general feature dependency pattern mining framework for contrast multivariate time series. Pattern Recognit. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin
2021	J	`jnl`	Time series clustering in linear time complexity. Data Min. Knowl. Discov. Xiaosheng Li, Jessica Lin, Liang Zhao
2021	J	`jnl`	Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun
2020	J	`jnl`	Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment. ACM Trans. Spatial Algorithms Syst. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin
2020	B	`conf`	Ensemble Grammar Induction For Detecting Anomalies in Time Series. EDBT Yifeng Gao, Jessica Lin, Constantin Brif
2020	J	`jnl`	Ensemble Grammar Induction For Detecting Anomalies in Time Series. CoRR Yifeng Gao, Jessica Lin, Constantin Brif
2020	A	`conf`	Semantic Discord: Finding Unusual Local Patterns for Time Series. SDM Li Zhang, Yifeng Gao, Jessica Lin
2020	J	`jnl`	Semantic Discord: Finding Unusual Local Patterns for Time Series. CoRR Li Zhang, Yifeng Gao, Jessica Lin
2020	—	`conf`	StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun
2020	A*	`conf`	TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu
2019	J	`jnl`	An agent-based system with temporal data mining for monitoring financial stability on insurance markets. Expert Syst. Appl. Iqbal Owadally, Feng Zhou, Rasaq Otunba, Jessica Lin, Douglas Wright
2019	A*	`conf`	Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. ICDM Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu
2019	B	`conf`	Deep Stacked Ensemble Recommender. SSDBM Rasaq Otunba, Raimi A. Rufai, Jessica Lin
2019	A*	`conf`	Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. ICDM Yifeng Gao, Jessica Lin
2019	J	`jnl`	Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. CoRR Yifeng Gao, Jessica Lin
2019	B	`conf`	Finding Meaningful Contrast Patterns for Quantitative Data. EDBT Rohan Khade, Jessica Lin, Nital Patel
2019	J	`jnl`	HIME: discovering variable-length motifs in large-scale time series. Knowl. Inf. Syst. Yifeng Gao, Jessica Lin
2019	A*	`conf`	Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. IJCAI Xiaosheng Li, Jessica Lin, Liang Zhao
2019	A	`conf`	Linear Time Motif Discovery in Time Series. SDM Xiaosheng Li, Jessica Lin
2018	J	`jnl`	Efficient Discovery of Variable-length Time Series Motifs with Large Length Range in Million Scale Time Series. CoRR Yifeng Gao, Jessica Lin
2018	A	`conf`	Evolving Separating References for Time Series Classification. SDM Xiaosheng Li, Jessica Lin
2018	J	`jnl`	Exact variable-length anomaly detection algorithm for univariate and multivariate time series. Data Min. Knowl. Discov. Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun
2018	J	`jnl`	Exploring variable-length time series motifs in one hundred million length scale. Data Min. Knowl. Discov. Yifeng Gao, Jessica Lin
2018	B	`conf`	Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification. EDBT Daoyuan Li, Jessica Lin, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
2018	B	`conf`	Finding Contrast Patterns for Mixed Streaming Data (Application track). EDBT Rohan Khade, Jessica Lin, Nital Patel
2018	J	`jnl`	GrammarViz 3.0: Interactive Discovery of Variable-Length Time Series Patterns. ACM Trans. Knowl. Discov. Data Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
2017	—	`conf`	A Uniform Representation for Trajectory Learning Tasks. SIGSPATIAL/GIS Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala
2017	A*	`conf`	Efficient discovery of time series motifs with large length range in million scale time series. ICDM Yifeng Gao, Jessica Lin
2017	A*	`conf`	IterativE Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICDM Yifeng Gao, Jessica Lin, Huzefa Rangwala
2017	A*	`conf`	Linear Time Complexity Time Series Classification with Bag-of-Pattern-Features. ICDM Xiaosheng Li, Jessica Lin
2017	A	`conf`	MPR: Multi-Objective Pairwise Ranking. RecSys Rasaq Otunba, Raimi A. Rufai, Jessica Lin
2017	B	`conf`	STAVIS 2.0: Mining Spatial Trajectories via Motifs. SSTD Crystal Chen, Arnold P. Boedihardjo, Brian S. Jenkins, Charlotte L. Ellison, Jessica Lin, Pavel Senin, Tim Oates
2017	—	`conf`	TrajViz: A Tool for Visualizing Patterns and Anomalies in Trajectory. ECML/PKDD (3) Yifeng Gao, Qingzhe Li, Xiaosheng Li, Jessica Lin, Huzefa Rangwala
2016	A	`conf`	A Self-Learning and Online Algorithm for Time Series Anomaly Detection, with Application in CPU Manufacturing. CIKM Xing Wang, Jessica Lin, Nital Patel, Martin W. Braun
2016	J	`jnl`	Improving the recognition of grips and movements of the hand using myoelectric signals. BMC Medical Informatics Decis. Mak. Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber
2016	C	`conf`	Iterative Grammar-Based Framework for Discovering Variable-Length Time Series Motifs. ICMLA Yifeng Gao, Jessica Lin, Huzefa Rangwala
2016	B	`conf`	RPM: Representative Pattern Mining for Efficient Time Series Classification. EDBT Xing Wang, Jessica Lin, Pavel Senin, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
2015	—	`conf`	A Generative Model For Time Series Discretization Based On Multiple Normal Distributions. PIKM@CIKM Sunil Gandhi, Tim Oates, Arnold P. Boedihardjo, Crystal Chen, Jessica Lin, Pavel Senin, Susan Frankenstein, Xing Wang
2015	C	`conf`	A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms. ICMLA Xing Wang, Yifeng Gao, Jessica Lin, Huzefa Rangwala, Ranjeev Mittu
2015	C	`conf`	Frequent Set Mining for Streaming Mixed and Large Data. ICMLA Rohan Khade, Jessica Lin, Nital Patel
2015	B	`conf`	Time series anomaly discovery with grammar-based compression. EDBT Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein
2015	—	`conf`	Using myoelectric signals to recognize grips and movements of the hand. BIBM Gene Shuman, Zoran Duric, Daniel Barbará, Jessica Lin, Lynn H. Gerber
2014	C	`conf`	APT: Approximate Period Detection in Time Series. SEKE Rasaq Otunba, Jessica Lin
2014	—	`conf`	GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series. ECML/PKDD (3) Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner
2014	—	`conf`	MBPD: Motif-Based Period Detection. PAKDD Workshops Rasaq Otunba, Jessica Lin, Pavel Senin
2014	A	`conf`	SAX-EFG: an evolutionary feature generation framework for time series classification. GECCO Uday Kamath, Jessica Lin, Kenneth A. De Jong
2013	A	`conf`	Motif discovery in spatial trajectories using grammar inference. CIKM Tim Oates, Arnold P. Boedihardjo, Jessica Lin, Crystal Chen, Susan Frankenstein, Sunil Gandhi
2013	J	`jnl`	Multi-event decision making over multivariate time series. Int. J. Inf. Decis. Sci. Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2012	—	`conf`	R-Checkpoint Algorithm for Multi-Event Decision Making over Multivariate Time Series. DSS Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2012	J	`jnl`	Rotation-invariant similarity in time series using bag-of-patterns representation. J. Intell. Inf. Syst. Jessica Lin, Rohan Khade, Yuan Li
2012	A	`conf`	Visualizing Variable-Length Time Series Motifs. SDM Yuan Li, Jessica Lin, Tim Oates
2011	—	`conf`	A Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS (2) Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2011	—	`conf`	An Event-Based Service Framework for Learning, Querying and Monitoring Multivariate Time Series. ICEIS Chun-Kit Ngan, Alexander Brodsky, Jessica Lin
2011	J	`jnl`	DMGI 2010 workshop report: The First ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics (San Jose, California - November 2, 2010). ACM SIGSPATIAL Special Jessica Lin, Guido Cervone, Nigel Waters
2010	—	`conf`	Assessment of error in air quality models using dynamic time warping. GIS-DMG Jessica Lin, Guido Cervone, Pasquale Franzese
2010	B	`conf`	Finding approximate frequent patterns in streaming medical data. CBMS Jessica Lin, Yuan Li
2010	—	`ch.`	Mining Time Series Data. Data Mining and Knowledge Discovery Handbook Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das
2010	J	`jnl`	Observing Infinite-dimensional Dynamical Systems. SIAM J. Appl. Dyn. Syst. Jessica Lin, William Ott
2010	—	`ed.`	Proceedings of the 2010 First International Workshop on Data Mining for Geoinformatics, DMG 2010, November 2, 2010, San Jose, CA, USA, Proceedings GIS-DMG Jessica Lin, Guido Cervone, Nigel Waters
2009	B	`conf`	Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation. SSDBM Jessica Lin, Yuan Li
2009	B	`conf`	Finding structurally different medical data. CBMS Jessica Lin, Yuan Li
2008	—	`conf`	A new Arabic stemming algorithm. ExLing Eiman Tamah Al-Shammari, Jessica Lin
2008	—	`conf`	A novel Arabic lemmatization algorithm. AND Eiman Tamah Al-Shammari, Jessica Lin
2008	A	`conf`	Exact and Approximate Reverse Nearest Neighbor Search for Multimedia Data. SDM Jessica Lin, David Etter, David DeBarr
2008	—	`conf`	Towards an error-free Arabic stemming. CIKM-iNEWS Eiman Tamah Al-Shammari, Jessica Lin
2007	J	`jnl`	Experiencing SAX: a novel symbolic representation of time series. Data Min. Knowl. Discov. Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lonardi
2007	J	`jnl`	Finding the most unusual time series subsequence: algorithms and applications. Knowl. Inf. Syst. Eamonn J. Keogh, Jessica Lin, Sang-Hee Lee, Helga Van Herle
2006	J	`jnl`	Efficient Discovery of Unusual Patterns in Time Series. New Gener. Comput. Stefano Lonardi, Jessica Lin, Eamonn J. Keogh, Bill Yuan-chi Chiu
2006	C	`conf`	Finding Time Series Discords Based on Haar Transform. ADMA Ada Wai-Chee Fu, Oscar Tat-Wing Leung, Eamonn J. Keogh, Jessica Lin
2006	J	`jnl`	Finding Unusual Medical Time-Series Subsequences: Algorithms and Applications. IEEE Trans. Inf. Technol. Biomed. Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu, Helga Van Herle
2006	—	`conf`	Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data. PKDD Jessica Lin, Eamonn J. Keogh
2005	B	`conf`	A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-wei Liu, Shou-Jian Yu, Jia-Jin Le
2005	B	`conf`	Approximations to Magic: Finding Unusual Medical Time Series. CBMS Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Helga Van Herle
2005	J	`jnl`	Clustering of time-series subsequences is meaningless: implications for previous and future research. Knowl. Inf. Syst. Eamonn J. Keogh, Jessica Lin
2005	A*	`conf`	HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence. ICDM Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
2005	—	`ch.`	Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das
2005	J	`jnl`	Visualizing and discovering non-trivial patterns in large time series databases. Inf. Vis. Jessica Lin, Eamonn J. Keogh, Stefano Lonardi
2004	B	`conf`	Iterative Incremental Clustering of Time Series. EDBT Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos
2004	A*	`conf`	Visually mining and monitoring massive time series. KDD Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
2004	A*	`conf`	VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases. VLDB Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jeffrey P. Lankford, Donna M. Nystrom
2004	—	`conf`	We Have Seen the Future, and It Is Symbolic. ACSW Eamonn J. Keogh, Jessica Lin, Stefano Lonardi, Bill Yuan-chi Chiu
2003	Misc	`conf`	(Not) Finding Rules in Time Series: A Surprising Result with Implications for Previous and Future Research. IC-AI Jessica Lin, Eamonn J. Keogh, Wagner Truppel
2003	—	`conf`	A symbolic representation of time series, with implications for streaming algorithms. DMKD Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bill Yuan-chi Chiu
2003	A*	`conf`	Clustering of Time Series Subsequences is Meaningless: Implications for Previous and Future Research. ICDM Eamonn J. Keogh, Jessica Lin, Wagner Truppel
2003	—	`conf`	Clustering of streaming time series is meaningless. DMKD Jessica Lin, Eamonn J. Keogh, Wagner Truppel
2002	A*	`conf`	Mining Motifs in Massive Time Series Databases. ICDM Pranav Patel, Eamonn J. Keogh, Jessica Lin, Stefano Lonardi