Terran Lane - RankMe

69 papers A* 15A 3B 1C 2Misc 4Journal 27Unranked 17

Year	Rank	Type	Title / Venue / Authors
2015	J	`jnl`	Transfer learning for Bayesian discovery of multiple Bayesian networks. Knowl. Inf. Syst. Diane Oyen, Terran Lane
2014	J	`jnl`	High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun
2014	B	`conf`	Malware Phylogenetics Based on the Multiview Graphical Lasso. IDA Blake Anderson, Terran Lane, Curtis Hash
2013	A*	`conf`	Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. ICDM Diane Oyen, Terran Lane
2013	J	`jnl`	Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning. CoRR Diane Oyen, Terran Lane
2012	—	`conf`	Improving malware classification: bridging the static/dynamic gap. AISec Blake Anderson, Curtis B. Storlie, Terran Lane
2012	A*	`conf`	Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning. AAAI Diane Oyen, Terran Lane
2012	A*	`conf`	Multiple Kernel Learning Clustering with an Application to Malware. ICDM Blake Anderson, Curtis B. Storlie, Terran Lane
2012	A*	`conf`	Smoothness and Structure Learning by Proxy . ICML Benjamin Yackley, Terran Lane
2012	J	`jnl`	TDCS guided using fMRI significantly accelerates learning to identify concealed objects. NeuroImage Vincent P. Clark, Brian A. Coffman, Andy R. Mayer, Michael P. Weisend, Terran Lane, Vince D. Calhoun, Elaine M. Raybourn, Christopher M. Garcia, Eric M. Wassermann
2012	—	`conf`	Towards a Biomolecular Learning Machine. UCNC Matthew R. Lakin, Amanda J. Minnich, Terran Lane, Darko Stefanovic
2011	J	`jnl`	A multiple network learning approach to capture system-wide condition-specific responses. Bioinform. Sushmita Roy, Margaret Werner-Washburne, Terran Lane
2011	J	`jnl`	Active Learning for Node Classification in Assortative and Disassortative Networks CoRR Cristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane
2011	A*	`conf`	Active learning for node classification in assortative and disassortative networks. KDD Cristopher Moore, Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, Terran Lane
2011	J	`jnl`	Correlated Noise: How it Breaks NMF, and What to Do About it. J. Signal Process. Syst. Sergey M. Plis, Vamsi K. Potluru, Terran Lane, Vince D. Calhoun
2011	—	`conf`	Detecting Code Injection Attacks in Internet Explorer. COMPSAC Workshops Blake Anderson, Daniel Quist, Terran Lane
2011	A	`conf`	Directional Statistics on Permutations. AISTATS Sergey M. Plis, Stephen McCracken, Terran Lane, Vince D. Calhoun
2011	J	`jnl`	Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Comput. Biol. Medicine Sergey M. Plis, Michael P. Weisend, Eswar Damaraju, Tom Eichele, Andy R. Mayer, Vincent P. Clark, Terran Lane, Vince D. Calhoun
2011	J	`jnl`	Graph-based malware detection using dynamic analysis. J. Comput. Virol. Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane
2011	—	`conf`	The Importance of Selective Knowledge Transfer for Lifelong Learning. Lifelong Learning Eric Eaton, Terran Lane
2010	—	`conf`	Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane
2010	J	`jnl`	MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes. Frontiers Neuroinformatics Sergey M. Plis, Vince D. Calhoun, Tom Eichele, Michael P. Weisend, Terran Lane
2010	A*	`conf`	Permutations as Angular Data: Efficient Inference in Factorial Spaces. ICDM Sergey M. Plis, Terran Lane, Vince D. Calhoun
2009	J	`jnl`	A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Shibin Qiu, Terran Lane
2009	A	`conf`	Efficient Multiplicative Updates for Support Vector Machines. SDM Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane
2009	Misc	`conf`	Inference of Functional Networks of Condition-Specific Response--A Case Study Of Quiescence In Yeast. Pacific Symposium on Biocomputing Sushmita Roy, Terran Lane, Margaret Werner-Washburne, Diego Martínez
2009	A*	`conf`	Learning structurally consistent undirected probabilistic graphical models. ICML Sushmita Roy, Terran Lane, Margaret Werner-Washburne
2009	J	`jnl`	Multiplicative updates For Non-Negative Kernel SVM CoRR Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane
2009	—	`conf`	Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane
2008	J	`jnl`	A system for generating transcription regulatory networks with combinatorial control of transcription. Bioinform. Sushmita Roy, Margaret Werner-Washburne, Terran Lane
2008	—	`conf`	Bayesian Network Score Approximation using a Metagraph Kernel. NIPS Benjamin Yackley, Eduardo Corona, Terran Lane
2008	J	`jnl`	Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia. NeuroImage D. Kim, John Burge, Terran Lane, Godfrey D. Pearlson, Kent A. Kiehl, Vincent D. Calhoun
2008	A*	`conf`	Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI Sushmita Roy, Terran Lane, Margaret Werner-Washburne
2008	—	`conf`	Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer. ECML/PKDD (1) Eric Eaton, Marie desJardins, Terran Lane
2008	—	`conf`	Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction. ISBRA Shibin Qiu, Terran Lane
2008	—	`conf`	Multiple-Instance Regression with Structured Data. ICDM Workshops Kiri L. Wagstaff, Terran Lane, Alex Roper
2008	J	`jnl`	siRNA silencing efficacy prediction using the RNA string kernel. Int. J. Comput. Biol. Drug Des. Shibin Qiu, Terran Lane
2007	A*	`conf`	A Randomized String Kernel and Its Application to RNA Interference. AAAI Shibin Qiu, Terran Lane, Ljubomir J. Buturovic
2007	J	`jnl`	Approximation Algorithms for Orienteering and Discounted-Reward TSP. SIAM J. Comput. Avrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff
2007	J	`jnl`	Efficient search algorithms for RNAi target detection. J. Supercomput. Shibin Qiu, Terran Lane, Cundong Yang
2007	A*	`conf`	Integrative Construction and Analysis of Condition-specific Biological Networks. AAAI Sushmita Roy, Terran Lane, Margaret Werner-Washburne
2007	—	`conf`	Reinforcement Learning in Nonstationary Environment Navigation Tasks. Canadian AI Terran Lane, Martin Ridens, Scott Stevens
2007	J	`jnl`	Report on the SIGART Doctoral Consortium. AI Mag. Kiri L. Wagstaff, Terran Lane
2007	—	`conf`	Shrinkage Estimator for Bayesian Network Parameters. ECML John Burge, Terran Lane
2007	C	`conf`	The RNA String Kernel for siRNA Efficacy Prediction. BIBE Shibin Qiu, Terran Lane
2006	J	`jnl`	A Hidden-State Markov Model for Cell Population Deconvolution. J. Comput. Biol. Sushmita Roy, Terran Lane, Christopher P. Allen, Anthony D. Aragon, Margaret Werner-Washburne
2006	C	`conf`	Efficient Target Detection for RNA Interference. GPC Shibin Qiu, Cundong Yang, Terran Lane
2006	—	`conf`	Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies. ECML John Burge, Terran Lane
2006	J	`jnl`	On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff
2006	Misc	`conf`	Phase Transitions in Gene Knockdown Networks of Transitive RNAi. International Conference on Computational Science (2) Shibin Qiu, Terran Lane
2006	J	`jnl`	RNA string kernels for RNAi off-target evaluation. Int. J. Bioinform. Res. Appl. Shibin Qiu, Terran Lane
2005	—	`conf`	A datamining approach to cell population deconvolution from gene expressions using particle filters. BIOKDD Sushmita Roy, Terran Lane, Margaret Werner-Washburne
2005	J	`jnl`	Data mining methods for anomaly detection KDD-2005 workshop report. SIGKDD Explor. Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane
2005	J	`jnl`	Efficient RNAi-based gene family knockdown via set cover optimization. Artif. Intell. Medicine Wenzhong Zhao, M. Leigh Fanning, Terran Lane
2005	A*	`conf`	Learning class-discriminative dynamic Bayesian networks. ICML John Burge, Terran Lane
2005	A	`conf`	Parallel Computation of RBF Kernels for Support Vector Classifiers. SDM Shibin Qiu, Terran Lane
2005	J	`jnl`	Parameters Affecting the Resilience of Scale-Free Networks to Random Failures CoRR Hamilton Link, Randall A. LaViolette, Jared Saia, Terran Lane
2005	Misc	`conf`	String Kernels of Imperfect Matches for Off-target Detection in RNA Interference. International Conference on Computational Science (2) Shibin Qiu, Terran Lane
2005	J	`jnl`	The Impact of Social Networks on Multi-Agent Recommender Systems CoRR Hamilton Link, Jared Saia, Terran Lane, Randall A. LaViolette
2005	Misc	`conf`	Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks. FLAIRS Terran Lane, Andrew Wilson
2005	—	`conf`	siRNA off-target search: a hybrid q-gram based filtering approach. BIOKDD Wenzhong Zhao, Terran Lane
2003	J	`jnl`	An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection. Mach. Learn. Terran Lane, Carla E. Brodley
2003	A*	`conf`	Approximation Algorithms for Orienteering and Discounted-Reward TSP. FOCS Avrim Blum, Shuchi Chawla, David R. Karger, Terran Lane, Adam Meyerson, Maria Minkoff
2002	—	`conf`	Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI Terran Lane, Leslie Pack Kaelbling
2001	—	`conf`	Approaches to macro decompositions of large Markov decision process planning problems. Mobile Robots Terran Lane, Leslie Pack Kaelbling
2000	A*	`conf`	Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. ICML Terran Lane, Carla E. Brodley
1999	J	`jnl`	Temporal Sequence Learning and Data Reduction for Anomaly Detection. ACM Trans. Inf. Syst. Secur. Terran Lane, Carla E. Brodley
1998	A*	`conf`	Approaches to Online Learning and Concept Drift for User Identification in Computer Security. KDD Terran Lane, Carla E. Brodley
1998	A*	`conf`	Temporal Sequence Learning and Data Reduction for Anomaly Detection. CCS Terran Lane, Carla E. Brodley