Terran Lane
Zitiert von
Zitiert von
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
Graph-based malware detection using dynamic analysis
B Anderson, D Quist, J Neil, C Storlie, T Lane
Journal in computer Virology 7, 247-258, 2011
An application of machine learning to anomaly detection
T Lane, CE Brodley
Proceedings of the 20th national information systems security conference 377 …, 1997
A computational study of off-target effects of RNA interference
S Qiu, CM Adema, T Lane
Nucleic acids research 33 (6), 1834-1847, 2005
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
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
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
Machine learning techniques for the computer security domain of anomaly detection
TD Lane
Purdue University, 2000
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
Approaches to online learning and concept drift for user identification in computer security.
T Lane, CE Brodley
KDD, 259-263, 1998
Integrating multiple data sources for malware classification
BH Anderson, CB Storlie, T Lane
US Patent 9,021,589, 2015
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
Hidden markov models for human/computer interface modeling
T Lane
Proceedings of the IJCAI-99 Workshop on Learning about Users, 35-44, 1999
Modeling transfer relationships between learning tasks for improved inductive transfer
E Eaton, M Desjardins, T Lane
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008
An empirical study of two approaches to sequence learning for anomaly detection
T Lane, CE Brodley
Machine learning 51, 73-107, 2003
Exploiting amino acid composition for predicting protein-protein interactions
S Roy, D Martinez, H Platero, T Lane, M Werner-Washburne
PloS one 4 (11), e7813, 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
Reduced fMRI activity predicts relapse in patients recovering from stimulant dependence
VP Clark, GK Beatty, RE Anderson, P Kodituwakku, JP Phillips, TDR Lane, ...
Human brain mapping 35 (2), 414-428, 2014
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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