Terran Lane
Cited by
Cited by
Temporal sequence learning and data reduction for anomaly detection
T Lane, CE Brodley
ACM Transactions on Information and System Security (TISSEC) 2 (3), 295-331, 1999
A computational study of off-target effects of RNA interference
S Qiu, CM Adema, T Lane
Nucleic acids research 33 (6), 1834-1847, 2005
Sequence matching and learning in anomaly detection for computer security
T Lane, CE Brodley
AAAI Workshop: AI Approaches to Fraud Detection and Risk Management, 43-49, 1997
Approximation algorithms for orienteering and discounted-reward TSP
A Blum, S Chawla, DR Karger, T Lane, A Meyerson, M Minkoff
SIAM Journal on Computing 37 (2), 653-670, 2007
An application of machine learning to anomaly detection
T Lane, CE Brodley
Proceedings of the 20th National Information Systems Security Conference 377 …, 1997
TDCS guided using fMRI significantly accelerates learning to identify concealed objects
VP Clark, BA Coffman, AR Mayer, MP Weisend, TDR Lane, VD Calhoun, ...
Neuroimage 59 (1), 117-128, 2012
Graph-based malware detection using dynamic analysis
B Anderson, D Quist, J Neil, C Storlie, T Lane
Journal in computer Virology 7 (4), 247-258, 2011
Machine learning techniques for the computer security domain of anomaly detection.
TD Lane
Approaches to Online Learning and Concept Drift for User Identification in Computer Security.
T Lane, CE Brodley
KDD, 259-263, 1998
Hidden markov models for human/computer interface modeling
T Lane
Proceedings of the IJCAI-99 Workshop on Learning about Users, 35-44, 1999
Improving malware classification: bridging the static/dynamic gap
B Anderson, C Storlie, T Lane
Proceedings of the 5th ACM workshop on Security and artificial intelligence …, 2012
A framework for multiple kernel support vector regression and its applications to siRNA efficacy prediction
S Qiu, T Lane
IEEE/ACM Transactions on Computational Biology and Bioinformatics 6 (2), 190-199, 2008
An empirical study of two approaches to sequence learning for anomaly detection
T Lane, CE Brodley
Machine learning 51 (1), 73-107, 2003
Integrating multiple data sources for malware classification
BH Anderson, CB Storlie, T Lane
US Patent 9,021,589, 2015
Modeling transfer relationships between learning tasks for improved inductive transfer
E Eaton, T Lane
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
Exploiting amino acid composition for predicting protein-protein interactions
S Roy, D Martinez, H Platero, T Lane, M Werner-Washburne
PloS one 4 (11), 2009
Discrete dynamic Bayesian network analysis of fMRI data
J Burge, T Lane, H Link, S Qiu, VP Clark
Human brain mapping 30 (1), 122-137, 2009
Detecting the abnormal: Machine learning in computer security
T Lane, CE Brodley
Knowledge discovery and data mining: Computers taught to discern patterns, detect anomalies and apply decision algorithms can help secure computer systems and find volcanoes on …
CE Brodley, T Lane, TM Stough
American Scientist 87 (1), 54-61, 1999
Hybrid ICA–Bayesian network approach reveals distinct effective connectivity differences in schizophrenia
D Kim, J Burge, T Lane, GD Pearlson, KA Kiehl, VD Calhoun
Neuroimage 42 (4), 1560-1568, 2008
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