Philip Chan
Orcid: 0000-0002-3878-4205Affiliations:
- Florida Institute of Technology, Department of Computer Sciences, Melbourne, FL, USA
According to our database1,
Philip Chan
authored at least 64 papers
between 1989 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
1990
1995
2000
2005
2010
2015
2020
0
1
2
3
4
5
6
7
1
1
1
1
1
1
2
2
2
1
1
2
1
1
1
1
2
2
1
2
4
3
1
1
1
1
1
1
4
5
3
1
2
1
1
1
2
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
-
on orcid.org
-
on cs.fit.edu
On csauthors.net:
Bibliography
2023
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023
GII: A Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023
2022
Representation Learning with Function Call Graph Transformations for Malware Open Set Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2018
Estimating effectiveness of twitter messages with a personalized machine learning approach.
Knowl. Inf. Syst., 2018
Detecting Harmful Hand Behaviors with Machine Learning from Wearable Motion Sensor Data.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
Using A Personalized Anomaly Detection Approach with Machine Learning to Detect Stolen Phones.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
Learning to Identify Known and Unknown Classes: A Case Study in Open World Malware Classification.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Seventh ACM Conference on Data and Application Security and Privacy, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Improving efficiency of maximizing spread in the flow authority model for large sparse networks.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2014
Semantic Search Techniques for Learning Smaller Boolean Expression Trees in Genetic Programming.
Int. J. Comput. Intell. Appl., 2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Mach. Learn., 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
2009
Proceedings of the SIAM International Conference on Data Mining, 2009
2008
Appl. Intell., 2008
2007
Intell. Data Anal., 2007
Weighting versus pruning in rule validation for detecting network and host anomalies.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
2006
Int. J. Artif. Intell. Tools, 2006
2005
SIGKDD Explor., 2005
Appl. Intell., 2005
Implicit Indicators for Interesting Web Pages.
Proceedings of the WEBIST 2005, 2005
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005
2004
Knowl. Inf. Syst., 2004
MORPHEUS: motif oriented representations to purge hostile events from unlabeled sequences.
Proceedings of the 1st ACM Workshop on Visualization and Data Mining for Computer Security, 2004
Motif-Oriented Representation of Sequences for a Host-Based Intrusion Detection System.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004
2003
An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection.
Proceedings of the Recent Advances in Intrusion Detection, 6th International Symposium, 2003
Proceedings of the 8th International Conference on Intelligent User Interfaces, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
2002
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002
2001
SIGMOD Rec., 2001
1999
Proceedings of the Web Usage Analysis and User Profiling, 1999
AdaCost: Misclassification Cost-Sensitive Boosting.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999
1998
Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998
1997
J. Intell. Inf. Syst., 1997
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997
1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996
1995
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995
Proceedings of the Machine Learning, 1995
1993
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993
Proceedings of the CIKM 93, 1993
1991
J. Parallel Distributed Comput., 1991
1990
1989
Inductive Learning with BCT.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989