Philip K. Chan

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 21

Top Topics

Instance Selection

Static Analysis

Top Venues

FLAIRS Conference

Publications

Jingyun Jia, Philip K. Chan
GII: A Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery. ICANN (8) (2023)
Jingyun Jia, Philip K. Chan
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition. IJCNN (2023)
Jingyun Jia, Philip K. Chan
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition. ICANN (4) (2022)
Jingyun Jia, Philip K. Chan
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition. CoRR (2022)
Jingyun Jia, Philip K. Chan
Representation Learning with Function Call Graph Transformations for Malware Open Set Recognition. IJCNN (2022)
Jingyun Jia, Philip K. Chan
Representation learning with function call graph transformations for malware open set recognition. CoRR (2022)
Jingyun Jia, Philip K. Chan
MMF: A Loss Extension for Feature Learning in Open Set Recognition. ICANN (2) (2021)
Jingyun Jia, Philip K. Chan
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition. CoRR (2021)
Mehadi Hassen, Philip K. Chan
Learning a Neural-network-based Representation for Open Set Recognition. SDM (2020)
Mehadi Hassen, Philip K. Chan
Unsupervised Open Set Recognition using Adversarial Autoencoders. ICMLA (2020)
Jingyun Jia, Philip K. Chan
MMF: A loss extension for feature learning in open set recognition. CoRR (2020)
Huizhong Hu, Philip K. Chan
Using A Personalized Anomaly Detection Approach with Machine Learning to Detect Stolen Phones. FLAIRS Conference (2018)
Xunhu Sun, Philip K. Chan
Estimating effectiveness of twitter messages with a personalized machine learning approach. Knowl. Inf. Syst. 56 (1) (2018)
Mehadi Hassen, Philip K. Chan
Learning a Neural-network-based Representation for Open Set Recognition. CoRR (2018)
Ebad Ahmadzadeh, Philip K. Chan
Identifying Pros and Cons of Product Aspects Based on Customer Reviews. IEEE BigData (2018)
Lingfeng Zhang, Philip K. Chan
Detecting Harmful Hand Behaviors with Machine Learning from Wearable Motion Sensor Data. FLAIRS Conference (2018)
Mehadi Hassen, Philip K. Chan
Learning to Identify Known and Unknown Classes: A Case Study in Open World Malware Classification. FLAIRS Conference (2018)
Mehadi Hassen, Philip K. Chan
Scalable Function Call Graph-based Malware Classification. CODASPY (2017)
Mehadi Hassen, Marco M. Carvalho, Philip K. Chan
Malware classification using static analysis based features. SSCI (2017)
Ebad Ahmadzadeh, Philip K. Chan
Mining pros and cons of actions from social media for decision support. IEEE BigData (2017)
Philip K. Chan, Ebad Ahmadzadeh
Improving efficiency of maximizing spread in the flow authority model for large sparse networks. IEEE BigData (2016)
Xunhu Sun, Philip K. Chan
An Analysis of Instance Selection for Neural Networks to Improve Training Speed. ICMLA (2014)
Nicholas C. Miller, Philip K. Chan
Semantic Search Techniques for Learning Smaller Boolean Expression Trees in Genetic Programming. Int. J. Comput. Intell. Appl. 13 (3) (2014)
Kleber A. Garcia, Philip K. Chan
Estimating Hospital Admissions with a Randomized Regression Approach. ICMLA (1) (2012)
Gaurav Tandon, Philip K. Chan
Increasing coverage to improve detection of network and host anomalies. Mach. Learn. 79 (3) (2010)
Denis Petrussenko, Philip K. Chan
Incrementally Learning Rules for Anomaly Detection. FLAIRS Conference (2010)
Gaurav Tandon, Philip K. Chan
Tracking User Mobility to Detect Suspicious Behavior. SDM (2009)
Hyoung-rae Kim, Philip K. Chan
Learning implicit user interest hierarchy for context in personalization. Appl. Intell. 28 (2) (2008)
Philip K. Chan, Ronaldo Menezes, Debasis Mitra, Eraldo Ribeiro, Marius Silaghi
Intelligent Systems at Florida Tech. IEEE Intell. Informatics Bull. 8 (1) (2007)
Gaurav Tandon, Philip K. Chan
Weighting versus pruning in rule validation for detecting network and host anomalies. KDD (2007)
Philip K. Chan, Richard Lippmann
Machine Learning for Computer Security. J. Mach. Learn. Res. 7 (2006)
Gaurav Tandon, Philip K. Chan
On the Learning of System Call Attributes for Host-based Anomaly Detection. Int. J. Artif. Intell. Tools 15 (6) (2006)
Hyoung-rae Kim, Philip K. Chan
Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks. WEBKDD (2005)
Philip K. Chan, Matthew V. Mahoney
Modeling Multiple Time Series for Anomaly Detection. ICDM (2005)
Gaurav Tandon, Philip K. Chan
Learning Useful System Call Attributes for Anomaly Detection. FLAIRS Conference (2005)
Hyoung-rae Kim, Philip K. Chan
Implicit Indicators for Interesting Web Pages. WEBIST (2005)
Gaurav Tandon, Debasis Mitra, Philip K. Chan
Motif-Oriented Representation of Sequences for a Host-Based Intrusion Detection System. IEA/AIE (2004)
Wei Fan, Matthew Miller, Salvatore J. Stolfo, Wenke Lee, Philip K. Chan
Using artificial anomalies to detect unknown and known network intrusions. Knowl. Inf. Syst. 6 (5) (2004)
Hyoung-rae Kim, Philip K. Chan
Identifying Variable-Length Meaningful Phrases with Correlation Functions. ICTAI (2004)
Gaurav Tandon, Philip K. Chan, Debasis Mitra
MORPHEUS: motif oriented representations to purge hostile events from unlabeled sequences. VizSEC (2004)
Matthew V. Mahoney, Philip K. Chan
An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection. RAID (2003)
Matthew V. Mahoney, Philip K. Chan
Learning Rules for Anomaly Detection of Hostile Network Traffic. ICDM (2003)
Hyoung R. Kim, Philip K. Chan
Learning implicit user interest hierarchy for context in personalization. IUI (2003)
Matthew V. Mahoney, Philip K. Chan
Learning nonstationary models of normal network traffic for detecting novel attacks. KDD (2002)
Salvatore J. Stolfo, Wenke Lee, Philip K. Chan, Wei Fan, Eleazar Eskin
Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project. SIGMOD Rec. 30 (4) (2001)
Wei Fan, Matthew Miller, Salvatore J. Stolfo, Wenke Lee, Philip K. Chan
Using Artificial Anomalies to Detect Unknown and Known Network Intrusions. ICDM (2001)
Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip K. Chan
AdaCost: Misclassification Cost-Sensitive Boosting. ICML (1999)
Philip K. Chan, Salvatore J. Stolfo, David H. Wolpert
Guest Editors' Introduction. Mach. Learn. 36 (1-2) (1999)
Philip K. Chan
Constructing Web User Profiles: A non-invasive Learning Approach. WEBKDD (1999)
Philip K. Chan, Salvatore J. Stolfo
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection. KDD (1998)
Philip K. Chan, Salvatore J. Stolfo
On the Accuracy of Meta-Learning for Scalable Data Mining. J. Intell. Inf. Syst. 8 (1) (1997)
Salvatore J. Stolfo, Andreas L. Prodromidis, Shelley Tselepis, Wenke Lee, Dave W. Fan, Philip K. Chan
JAM: Java Agents for Meta-Learning over Distributed Databases. KDD (1997)
Philip K. Chan, Salvatore J. Stolfo
Sharing Learned Models among Remote Database Partitions by Local Meta-Learning. KDD (1996)
Philip K. Chan, Salvatore J. Stolfo
A Comparative Evaluation of Voting and Meta-learning on Partitioned Data. ICML (1995)
Philip K. Chan, Salvatore J. Stolfo
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning. KDD (1995)
Philip K. Chan, Salvatore J. Stolfo
Toward Multi-Strategy Parallel & Distributed Learning in Sequence Analysis. ISMB (1993)
Philip K. Chan, Salvatore J. Stolfo
Experiments on Multi-Strategy Learning by Meta-Learning. CIKM (1993)
Christopher J. Matheus, Philip K. Chan, Gregory Piatetsky-Shapiro
Systems for Knowledge Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5 (6) (1993)
Salvatore J. Stolfo, Ouri Wolfson, Philip K. Chan, Hasanat M. Dewan, Leland Woodbury, Jason S. Glazier, David Ohsie
PARULE: Parallel Rule Processing Using Meta-rules for Redaction. J. Parallel Distributed Comput. 13 (4) (1991)
Douglas H. Fisher, Philip K. Chan
Statistical guidance in symbolic learning. Ann. Math. Artif. Intell. 2 (1990)
Philip K. Chan
Inductive Learning with BCT. ML (1989)