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Terran Lane
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2010 – 2019
- 2015
- [j22]Diane Oyen
, Terran Lane:
Transfer learning for Bayesian discovery of multiple Bayesian networks. Knowl. Inf. Syst. 43(1): 1-28 (2015) - 2014
- [j21]Sergey M. Plis
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 102: 35-48 (2014) - [c42]Blake Anderson, Terran Lane, Curtis Hash:
Malware Phylogenetics Based on the Multiview Graphical Lasso. IDA 2014: 1-12 - 2013
- [c41]Diane Oyen
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. ICDM 2013: 577-586 - [i5]Diane Oyen, Terran Lane:
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. CoRR abs/1307.2312 (2013) - 2012
- [j20]Vincent P. Clark
TDCS guided using fMRI significantly accelerates learning to identify concealed objects. NeuroImage 59(1): 117-128 (2012) - [c40]Diane Oyen, Terran Lane:
Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning. AAAI 2012: 1091-1097 - [c39]Blake Anderson, Curtis B. Storlie, Terran Lane:
Improving malware classification: bridging the static/dynamic gap. AISec 2012: 3-14 - [c38]Blake Anderson, Curtis B. Storlie, Terran Lane:
Multiple Kernel Learning Clustering with an Application to Malware. ICDM 2012: 804-809 - [c37]Benjamin Yackley, Terran Lane:
Smoothness and Structure Learning by Proxy . ICML 2012 - [c36]Matthew R. Lakin, Amanda J. Minnich, Terran Lane, Darko Stefanovic:
Towards a Biomolecular Learning Machine. UCNC 2012: 152-163 - 2011
- [j19]Sushmita Roy, Margaret Werner-Washburne, Terran Lane:
A multiple network learning approach to capture system-wide condition-specific responses. Bioinform. 27(13): 1832-1838 (2011) - [j18]Sergey M. Plis
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Comput. Biol. Medicine 41(12): 1156-1165 (2011) - [j17]Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane:
Graph-based malware detection using dynamic analysis. J. Comput. Virol. 7(4): 247-258 (2011) - [j16]Sergey M. Plis
Correlated Noise: How it Breaks NMF, and What to Do About it. J. Signal Process. Syst. 65(3): 351-359 (2011) - [c35]Eric Eaton, Terran Lane:
The Importance of Selective Knowledge Transfer for Lifelong Learning. Lifelong Learning 2011 - [c34]Blake Anderson, Daniel Quist, Terran Lane:
Detecting Code Injection Attacks in Internet Explorer. COMPSAC Workshops 2011: 90-95 - [c33]Cristopher Moore
Active learning for node classification in assortative and disassortative networks. KDD 2011: 841-849 - [c32]Sergey M. Plis, Stephen McCracken, Terran Lane, Vince D. Calhoun:
Directional Statistics on Permutations. AISTATS 2011: 600-608 - [i4]Cristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane:
Active Learning for Node Classification in Assortative and Disassortative Networks. CoRR abs/1109.3240 (2011) - 2010
- [j15]Sergey M. Plis
MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes. Frontiers Neuroinformatics 4: 114 (2010) - [c31]Sergey M. Plis
Permutations as Angular Data: Efficient Inference in Factorial Spaces. ICDM 2010: 403-410 - [c30]Eva Besada-Portas
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) 2010: 119-134
2000 – 2009
- 2009
- [j14]Shibin Qiu, Terran Lane:
A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 190-199 (2009) - [c29]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
Learning structurally consistent undirected probabilistic graphical models. ICML 2009: 905-912 - [c28]Eva Besada-Portas
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) 2009: 131-146 - [c27]Sushmita Roy, Terran Lane, Margaret Werner-Washburne, Diego Martínez:
Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In Yeast. Pacific Symposium on Biocomputing 2009: 51-62 - [c26]Vamsi K. Potluru, Sergey M. Plis, Morten Mørup
Efficient Multiplicative Updates for Support Vector Machines. SDM 2009: 1220-1231 - [i3]Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane:
Multiplicative updates For Non-Negative Kernel SVM. CoRR abs/0902.4228 (2009) - 2008
- [j13]Sushmita Roy, Margaret Werner-Washburne, Terran Lane:
A system for generating transcription regulatory networks with combinatorial control of transcription. Bioinform. 24(10): 1318-1320 (2008) - [j12]Shibin Qiu, Terran Lane:
siRNA silencing efficacy prediction using the RNA string kernel. Int. J. Comput. Biol. Drug Des. 1(2): 103-121 (2008) - [j11]D. Kim, John Burge, Terran Lane, Godfrey D. Pearlson, Kent A. Kiehl, Vincent D. Calhoun
Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia. NeuroImage 42(4): 1560-1568 (2008) - [c25]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI 2008: 1867-1868 - [c24]Kiri L. Wagstaff
Multiple-Instance Regression with Structured Data. ICDM Workshops 2008: 291-300 - [c23]Shibin Qiu, Terran Lane:
Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction. ISBRA 2008: 367-378 - [c22]Benjamin Yackley, Eduardo Corona, Terran Lane:
Bayesian Network Score Approximation using a Metagraph Kernel. NIPS 2008: 1833-1840 - [c21]Eric Eaton, Marie desJardins, Terran Lane:
Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer. ECML/PKDD (1) 2008: 317-332 - 2007
- [j10]Kiri L. Wagstaff, Terran Lane:
Report on the SIGART Doctoral Consortium. AI Mag. 28(1): 84-85 (2007) - [j9]Avrim Blum, Shuchi Chawla, David R. Karger
Approximation Algorithms for Orienteering and Discounted-Reward TSP. SIAM J. Comput. 37(2): 653-670 (2007) - [j8]Shibin Qiu, Terran Lane, Cundong Yang:
Efficient search algorithms for RNAi target detection. J. Supercomput. 42(3): 303-319 (2007) - [c20]Shibin Qiu, Terran Lane, Ljubomir J. Buturovic:
A Randomized String Kernel and Its Application to RNA Interference. AAAI 2007: 627-632 - [c19]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI 2007: 1898-1899 - [c18]Terran Lane, Martin Ridens, Scott Stevens:
Reinforcement Learning in Nonstationary Environment Navigation Tasks. Canadian AI 2007: 429-440 - [c17]Shibin Qiu, Terran Lane:
The RNA String Kernel for siRNA Efficacy Prediction. BIBE 2007: 307-314 - [c16]John Burge, Terran Lane:
Shrinkage Estimator for Bayesian Network Parameters. ECML 2007: 67-78 - 2006
- [j7]Shibin Qiu, Terran Lane:
RNA string kernels for RNAi off-target evaluation. Int. J. Bioinform. Res. Appl. 2(2): 132-146 (2006) - [j6]Sushmita Roy, Terran Lane, Christopher P. Allen
A Hidden-State Markov Model for Cell Population Deconvolution. J. Comput. Biol. 13(10): 1749-1774 (2006) - [j5]Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff:
On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. 8(2): 39-46 (2006) - [c15]John Burge, Terran Lane:
Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies. ECML 2006: 66-77 - [c14]Shibin Qiu, Cundong Yang, Terran Lane:
Efficient Target Detection for RNA Interference. GPC 2006: 22-31 - [c13]Shibin Qiu, Terran Lane:
Phase Transitions in Gene Knockdown Networks of Transitive RNAi. International Conference on Computational Science (2) 2006: 895-903 - 2005
- [j4]Wenzhong Zhao, M. Leigh Fanning, Terran Lane:
Efficient RNAi-based gene family knockdown via set cover optimization. Artif. Intell. Medicine 35(1-2): 61-73 (2005) - [j3]Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane:
Data mining methods for anomaly detection KDD-2005 workshop report. SIGKDD Explor. 7(2): 132-136 (2005) - [c12]Terran Lane, Andrew Wilson:
Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks. FLAIRS 2005: 461-467 - [c11]Shibin Qiu, Terran Lane:
String Kernels of Imperfect Matches for Off-target Detection in RNA Interference. International Conference on Computational Science (2) 2005: 894-902 - [c10]John Burge, Terran Lane:
Learning class-discriminative dynamic Bayesian networks. ICML 2005: 97-104 - [c9]Sushmita Roy, Terran Lane, Margaret Werner-Washburne:
A datamining approach to cell population deconvolution from gene expressions using particle filters. BIOKDD 2005: 46-53 - [c8]Wenzhong Zhao, Terran Lane:
siRNA off-target search: a hybrid q-gram based filtering approach. BIOKDD 2005: 54-60 - [c7]Shibin Qiu, Terran Lane:
Parallel Computation of RBF Kernels for Support Vector Classifiers. SDM 2005: 334-345 - [i2]Hamilton Link, Jared Saia, Terran Lane, Randall A. LaViolette:
The Impact of Social Networks on Multi-Agent Recommender Systems. CoRR abs/cs/0511011 (2005) - [i1]Hamilton Link, Randall A. LaViolette, Jared Saia, Terran Lane:
Parameters Affecting the Resilience of Scale-Free Networks to Random Failures. CoRR abs/cs/0511012 (2005) - 2003
- [j2]Terran Lane, Carla E. Brodley:
An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. Mach. Learn. 51(1): 73-107 (2003) - [c6]Avrim Blum, Shuchi Chawla, David R. Karger
Approximation Algorithms for Orienteering and Discounted-Reward TSP. FOCS 2003: 46-55 - 2002
- [c5]Terran Lane, Leslie Pack Kaelbling:
Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI 2002: 260-266 - 2001
- [c4]Terran Lane, Leslie Pack Kaelbling:
Approaches to macro decompositions of large Markov decision process planning problems. Mobile Robots 2001: 104-113 - 2000
- [c3]Terran Lane, Carla E. Brodley:
Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. ICML 2000: 519-526
1990 – 1999
- 1999
- [j1]Terran Lane, Carla E. Brodley:
Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Trans. Inf. Syst. Secur. 2(3): 295-331 (1999) - 1998
- [c2]Terran Lane, Carla E. Brodley:
Temporal Sequence Learning and Data Reduction for Anomaly Detection. CCS 1998: 150-158 - [c1]Terran Lane, Carla E. Brodley:
Approaches to Online Learning and Concept Drift for User Identification in Computer Security. KDD 1998: 259-263
Coauthor Index
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