Publications

In this Section:

If you're looking for something that you think I or my group has recently published but that isn't listed here, please don't hesitate to contact me directly at .

PhD Dissertations (mine or directed)

  1. Lane, T. (2000). Machine Learning Techniques for the Computer Security Domain of Anomaly Detection. PhD dissertation, Purdue University, W. Lafayette, IN, USA.
  2. Qiu, S. (2006). String Kernels and Their Application to RNA Interference. PhD dissertation, University of New Mexico, Albuquerque, NM, USA.
  3. Burge, J. (2007). Learning Bayesian Networks from Hierarchically Related Data with a Neuroimaging Application. PhD dissertation, University of New Mexico, Albuquerque, NM, USA.
  4. Roy, S. (2009). Learning Condition-Specific Networks. PhD dissertation, University of New Mexico, Albuquerque, NM, USA.

MS Theses (directed)

  1. Puranik, K. (2004). A Protocol for Secure Communication and PKI for Narrowband PCS Wireless Networks. MS thesis, University of New Mexico, Albuquerque, NM, USA.
  2. Abubucker, S. (2005). Machine learning approaches to siRNA efficacy prediction. MS thesis, University of New Mexico, Albuquerque, NM, USA.
  3. Gupta, A. (2006). Inference in Semi-Markov Dynamic Bayesian Networks. MS thesis, University of New Mexico, Albuquerque, NM, USA.
  4. Fabian, N. (2007). Machine Learning of Human Behavior in Interactive Games. MS thesis, University of New Mexico, Albuquerque, NM, USA.

Book Chapters

  1. Lane, T. (2005). "Automated Knowledge Capture and User Modeling." In Forsythe, J. C., Bernard, M., and Goldsmith, T. (Eds.), Cognitive Systems: Human Cognitive Models in Systems Design. Mahwah, NJ: Lawrence Erlbaum Associates.
  2. Lane, T. (2006). "A Decision-Theoretic, Semi-Supervised Model for Intrusion Detection." In Maloof, M. (Ed.), Machine learning and data mining for computer security: Methods and applications. London: Springer-Verlag.
  3. Qiu, S. and Lane, T. (2007). "RNA Interference and microRNA." In Hu, X. and Pan, Y. (Eds.), Knowledge Discovery in Bioinformatics: Techniques, Methods and Applications. John Wiley & Sons.
  4. Lane, T. (2011). "Population Variability and Bayesian Inference." In Ding, M. and Glanzman, D. (Eds.), The Dynamic Brain: An Exploration of Neuronal Variability and Its Functional Significance. Oxford UP.

Journal Articles

  1. Lane, T. and Brodley, C. E. (1999). "Temporal Sequence Learning and Data Reduction for Anomaly Detection." ACM Transactions on Information and System Security 2(3), pp 295–331. doi: 10.1145/322510.322526
  2. Lane, T. and Brodley, C. E. (2003). "An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection." Machine Learning 51(1), pp 73–107. doi: 10.1023/A:1021830128811
  3. Qiu, S., Adema, C., and Lane, T. (2005). "A computational study of off-target effects of RNA interference." Nucleic Acids Research 33(6), pp 1834–1847. doi: 10.1093/nar/gki324 PMCID: PMC1072799
  4. Zhao, W., Fanning, L., and Lane, T. (2005). "Efficient RNAi-Based Gene Family Knockdown via Set Cover Optimization." Artificial Intelligence in Medicine 35(1--2), pp 61–73. doi: 10.1016/j.artmed.2005.01.009
  5. Qiu, S. and Lane, T. (2006). "RNA String Kernels for RNAi Off-Target Evaluation." International Journal of Bioinformatics Research and Applications 2(2), pp 132–146. doi: 10.1504/IJBRA.2006.009764
  6. Roy, S., Lane, T., Allen, C., Aragon, A., and Werner-Washburne, M. (2006). "A Hidden-state Markov Model for Cell Population Deconvolution." Journal of Computational Biology 13(10), pp 1749–1774. doi: 10.1089/cmb.2006.13.1749
  7. Blum, A., Chawla, S., Karger, D., Lane, T., Meyerson, A., and Minkoff, M. (2007). "Approximation algorithms for Orienteering and Discounted-Reward TSP." SIAM Journal on Computing 37(2), pp 653–670. doi: 10.1137/050645464
  8. Burge, J., Lane, T., Link, H., Qiu, S., and Clark, V. P. (2007). "Discrete dynamic Bayesian network analysis of fMRI data." Human Brain Mapping 30(1), pp 122–137. doi: 10.1002/hbm.20490 PMCID: PMC2888041
  9. Qiu, S. and Lane, T. (2007). "Implications of Phase Transitions in Knockdown Networks of Transitive RNAi." IEEE Transactions on Nanobioscience 6(1), pp 68–76. doi: 10.1109/TNB.2007.891904
  10. Qiu, S., Yang, C., and Lane, T. (2007). "Efficient Target Detection for RNA Interference." The Journal of Supercomputing 42, pp 303–319. doi: 10.1007/s11227-007-0121-9
  11. Kim, D. I., Burge, J., Lane, T., Kiehl, K. A., Pearlson, G. D., and Calhoun, V. D. (2008). "Hybrid ICA-Bayesian Network approach reveals distinct effective connectivity differences in schizophrenia." NeuroImage 42(4), pp 1560–1568. doi: 10.1016/j.neuroimage.2008.05.065 PMCID: PMC2566775
  12. Qiu, S. and Lane, T. (2008). "SiRNA silencing efficacy prediction using the RNA string kernel." International Journal of Computational Biolology and Drug Design 1(2), pp 103–121. doi: 10.1504/IJCBDD.2008.020189
  13. Roy, S., Werner-Washburne, M., and Lane, T. (2008). "A system for generating transcription regulatory networks with combinatorial control of transcription." Bioinformatics 24(10), pp 1318–1320. doi: 10.1093/bioinformatics/btn126 PMCID: PMC2373921
  14. Qiu, S. and Lane, T. (2009). "A Framework for Multiple Kernel Support Vector Regression and Its Applications to siRNA Efficacy Prediction." IEEE Transactions on Computational Biology and Bioinformatics 6(2), pp 190–199. doi: 10.1109/TCBB.2008.139
  15. Roy, S., Martinez, D., Platero, H., Lane, T., and Werner-Washburne, M. (2009). "Exploiting Amino Acid Composition for Predicting Protein-protein Interactions." PLoS ONE 4(11). doi: 10.1371/journal.pone.0007813 PMCID: PMC2775920
  16. Roy, S., Plis, S., Werner-Washburne, M., and Lane, T. (2009). "Scalable learning of large networks." IET Systems Biology 3(5), pp 404–413. doi: 10.1049/iet-syb.2008.0161 PMCID: PMC2989903
  17. Plis, S. M., Calhoun, V. D., Eichele, T., Weisend, M. P., and Lane, T. (2010). "MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes." Frontiers in Neuroinformatics 4(114). doi: 10.3389/fninf.2010.00114 PMCID: PMC2991230
  18. Plis, S. M., Potluru, V. K., Lane, T., and Calhoun, V. D. (2010). "Correlated Noise: How It Breaks NMF, And What To Do About It." Journal of Signal Processing Systems. In press; appeared online. doi: 10.1007/s11265-010-0511-8
  19. Scully, M., Anderson, B., Lane, T., Gasparovic, C., Magnotta, V., Sibbitt, W., Roldan, C., Kikinis, R., and Bockholt, H. J. (2010). "An Automated Method for Segmenting White Matter Lesions through Multi-Level Morphometric Feature Classification with Application to Lupus." Frontiers in Human Neuroscience 4(27). doi: 10.3389/fnhum.2010.00027 PMCID: PMC2859868
  20. Anderson, B., Quist, D., Neil, J., Storlie, C., and Lane, T. (2011). "Graph-Based Malware Detection Using Dynamic Analysis." Journal in Computer Virology 7(4), pp 247–258. doi: 10.1007/s11416-011-0152-x
  21. Clark, V.P., Coffman, B.A., Mayer, A.M., Weisend, M. P., Lane, T., Calhoun, V.D., Raybourn, E.M., Garcia, C., and Wassermann, E.M. (2011). "TDCS guided using fMRI significantly accelerates learning to identify concealed objects." NeuroImage 59(1), pp 117–128. doi: 10.1016/j.neuroimage.2010.11.036
  22. Plis, S., Weisend, M. P., Damaraju, E., Eichele, T., Mayer, A., Clark, V. P., Lane, T., and Calhoun, V. D. (2011). "Effective connectivity analysis of fMRI and MEG data collected under identical paradigms." Computers in Biology and Medicine 41(12), pp 1156-1165. doi: 10.1016/j.compbiomed.2011.04.011 PMCID: PMC3174276
  23. Roy, S., Lane, T., and Werner-Washburne, M. (2011). "A Multiple network learning approach to capture system-wide condition-specific responses." Bioinformatics 27(13), pp 1832–1838. doi: 10.1093/bioinformatics/btr270 PMCID: PMC3117363

Full Paper Peer Reviewed Conference Papers

  1. Lane, T. and Brodley, C. E. (1997). "An application of machine learning to anomaly detection." In Proceedings of the Twentieth National Information Systems Security Conference, pp 366–380, Gaithersburg, MD.
  2. Lane, T. and Brodley, C. E. (1998). "Temporal Sequence Learning and Data Reduction for Anomaly Detection." In Proceedings of the Fifth ACM Conference on Computer and Communications Security, pp 150–158.
  3. Lane, T. and Brodley, C. E. (1998). "Approaches to Online Learning and Concept Drift for User Identification in Computer Security." In Agrawal, R., Stolorz, P., and Piatetsky-Shapiro, G. (Eds.), Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp 259–263, New York, NY.
  4. Lane, T. and Brodley, C. E. (2000). "Data Reduction Techniques for Instance-Based Learning of Human/Computer Interface Data." In Langley, P. (Ed.), Proceedings of the Seventeenth International Conference on Machine Learning (ICML-2000), pp 519–526.
  5. Lane, T. and Kaelbling, L. P. (2002). "Nearly Deterministic Abstractions of Markov Decision Processes." In Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), pp 260–266, Edmonton, Canada.
  6. Blum, A., Chawla, S., Karger, D., Lane, T., Meyerson, A., and Minkoff, M. (2003). "Approximation Algorithms for Orienteering and Discounted-Reward TSP." In Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science (FOCS-2003), Cambridge, MA.
  7. Burge, J. and Lane, T. (2005). "Learning Class-Discriminative Dynamic Bayesian Networks." In Dzeroski, S. (Ed.), Proceedings of the Twenty-Second International Conference on Machine Learning (ICML-2005), pp 97–104, Bonn, Germany. doi: 10.1145/1102351.1102364
  8. Lane, T. and Wilson, A. (2005). "Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks." In Holder, L. B. and Cook, D. J. (Eds.), Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS-2005), Clearwater Beach, FL.
  9. Qiu, S. and Lane, T. (2005). "Parallel Kernel Computation for High Dimensional Data and Its Application to fMRI Image Classification." In Kargupta, H., Srivastava, J., Kamath, C., and Goodman, A. (Eds.), Proceedings of the 2005 SIAM Conference on Data Mining (SDM-2005), pp 334–345, Long Beach, CA.
  10. Burge, J. and Lane, T. (2006). "Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies." In Fürnkranz, J., Scheffer, T., and Spiliopoulou, M. (Eds.), Proceedings of the Seventeenth European Conference on Machine Learning (ECML-2006), pp 66–77, Berlin, Germany. doi: 10.1007/11871842
  11. Qiu, S. and Lane, T. (2006). "Phase Transitions in Gene Knockdown Networks of Transitive RNAi." In Alexandrov, V. N., van Albada, G. D., Sloot, P. M. A., and Dongarra, J. (Eds.), Proceedings of Second International Workshop on Bioinformatics Research and Applications (IWBRA 2006) (at International Conference on Computational Science, ICCS 2006), pp 895–903, Reading, UK. doi: 10.1007/11758525_119
  12. Qiu, S., Yang, C., and Lane, T. (2006). "Efficient Target Detection for RNA Interference." In Chung, Y.-C. and Moreira, J. E. (Eds.), Proceedings of the First International Conference on Advances in Grid and Pervasive Computing (GPC 2006), pp 22–31, Taichung, Taiwan. doi: 10.1007/11745693
  13. Burge, J. and Lane, T. (2007). "Shrinkage Estimator for Bayesian Network Parameters." In Kok, J. N., Koronacki, J., de Mantaras, R. L., Matwin, S., Mladeni c, D., and Skowron, A. (Eds.), Proceedings of the Eighteenth European Conference on Machine Learning (ECML-2007), pp 67–78, Warsaw, Poland. doi: 10.1007/978-3-540-74958-5_10
  14. Lane, T., Ridens, M., and Stevens, S. (2007). "Reinforcement Learning in Nonstationary Environment Navigation Tasks." In Proceedings of the Twentieth Canadian Conference on Artificial Intelligence (CANAI-2007), pp 429–440, Montreal, Quebec, CA. doi: 10.1007/978-3-540-72665-4_37
  15. Qiu, S. and Lane, T. (2007). "The RNA String Kernel for siRNA Efficacy Prediction." In Proceedings of the 2007 IEEE Conference on Bioinformatics and Bioengineering (IEEE BIBE 2007), Cambridge, MA.
  16. Qiu, S., Lane, T., and Buturovic, L. (2007). "A Randomized String Kernel and Its Application to RNA Interference." In Howe, A. and Holte, R. C. (Eds.), Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-2007), pp 627–632, Vancouver, Canada.
  17. Roy, S., Lane, T., and Werner-Washburne, M. (2007). "Integrative Construction and Analysis of Condition-specific Biological Networks." In Howe, A. and Holte, R. C. (Eds.), Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-2007), pp 1898–1899, Vancouver, Canada.
  18. Eaton, E., desJardins, M., and Lane, T. (2008). "Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer." In Daelemans, W., Goethals, B., and Morik, K. (Eds.), Proceedings of the Nineteenth European Conference on Machine Learning (ECML-2008), pp 317–332, Antwerp, Belgium. doi: 10.1007/978-3-540-87479-9_39
  19. Qiu, S. and Lane, T. (2008). "Multiple Kernel Support Vector Regression for siRNA Efficacy Prediction." In Bioinformatics Research and Applications, pp 367–378. doi: 10.1007/978-3-540-79450-9\_34
  20. Besada-Portas, E., Plis, S. M., de la Cruz, J. M., and Lane, T. (2009). "Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks." In Mladenic, D., Buntine, W., Grobelnik, M., and Shawe-Taylor, J. (Eds.), Proceedings of the Twentieth European Conference on Machine Learning (ECML-2009), pp 131–146, Bled, Slovenia. doi: 10.1007/978-3-642-04180-8_26
  21. Potluru, V., Plis, S., Morup, M., Calhoun, V., and Lane, T. (2009). "Efficient Multiplicative updates for Support Vector Machines." In Proceedings of the SIAM International Conference on Data Mining (SDM09), pp 1218–1229.
  22. Roy, S., Lane, T., and Werner-Washburne, M. (2009). "Learning structurally consistent undirected probabilistic graphical models." In Bottou, L. and Littman, M. (Eds.), Proceedings of the Twenty-Sixth International Conference on Machine Learning (ICML-2009), pp 905–912, Montreal, Canada. doi: 10.1145/1553374.1553490 PMCID: PMC2872253
  23. Roy, S., Lane, T., Werner-Washburne, M., and Martinez, D. (2009). "Inference of Functional Networks of Condition-Specific Response: A Case Study Of Quiescence In Yeast." In Proc. 2009 Pacific Symposium on Biocomputing (PSB 2009), Hawaii.
  24. Yackley, B., Corona, E., and Lane, T. (2009). "Bayesian Network Score Approximation using a Metagraph Kernel." In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou (Eds.), Advances in Neural Information Processing Systems 21 (NIPS 2008), pp 1833–1840.
  25. Besada-Portas, E., Plis, S. M., de la Cruz, J. M., and Lane, T. (2010). "Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks." In Balcázar, J. L., Bonchi, F., Gionis, A., and Sebag, M. (Eds.), Proceedings of the Twenty-First European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD 2010), pp 119–134, Barcelona, Spain. doi: 10.1007/978-3-642-15880-3_14
  26. Plis, S., Lane, T., and Calhoun, V. (2010). "Permutations as angular data: efficient inference in factorial spaces." In Proc. IEEE International Conference on Data Mining (ICDM 2010), pp 403–410, Sydney, Australia. doi: 10.1109/ICDM.2010.122
  27. Anderson, B., Quist, D., and Lane, T. (2011). "Detecting Code Injection Attacks in Internet Explorer." In 6th IEEE Workshop on Security, Trust, and Privacy for Software Applications, pp 90–95, Munich, Germany. doi: 10.1109/COMPSACW.2011.25
  28. Moore, C., Yan, X., Zhu, Y., Rouquier, J.-B., and Lane, T. (2011). "Active learning for node classification in assortative and disassortative networks." In Ghosh, J. and Smyth, P. (Eds.), Proceedings of the Seventeenth ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011), San Diego, CA. doi: 10.1145/2020408.2020552
  29. Plis, S. M., McCracken, S., Lane, T., and Calhoun, V. (2011). "Directional Statistics on Permutations." In Gordon, G., Dunson, D., and Dudik, M. (Eds.), Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-2011), Ft. Lauderdale, FL USA.
  30. Anderson, B., Storlie, C., and Lane, T. (2012). "Multiple Kernel Learning Clustering with an Application to Malware." In Siebes, A., Yu, J. X., and Zaki, M. J. (Eds.), Proc. IEEE International Conference on Data Mining, 2012 (ICDM-2012), Brussels, Belgium. doi: ???
  31. Lakin, M. R., Minnich, A., Lane, T., and Stefanovic, D. (2012). "Towards a biomolecular learning machine." In Proc. 2012 Conference on Unconventional Computation and Natural Computation (UCNC 2012), pp ???. doi: ???
  32. Oyen, D. and Lane, T. (2012). "Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning." In Hoffmann, J. and Selman, B. (Eds.), Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (AAAI-2012), Toronto, Canada.
  33. Yackley, B. and Lane, T. (2012). "Smoothness and Structure Learning by Proxy." In Langford, J. and Pieau, J. (Eds.), Proceedings of the Twenty-Ninth International Conference on Machine Learning (ICML-2012), Edinburgh, Scotland.

Workshop Papers and Posters (Non-Peer Reviewed)

  1. Brodley, C. E. and Lane, T. (1996). "Creating and exploiting diversity." In The Proceedings of the AAAI-96 Workshop: Integrating Multiple Learned Models for Improving and Scaling Machine Learning.
  2. Lane, T. and Brodley, C. E. (1997). "Sequence matching and learning in anomaly detection for computer security." In Proceedings of AAAI-97 Workshop on AI Approaches to Fraud Detection and Risk Management (Fourteenth National Conference on Artificial Intelligence), pp 43–49.
  3. Lane, T. (1998). "Filtering Techniques for Rapid User Classification." In Proceedings of the AAAI-98/ICML-98 Joint Workshop on AI Approaches to Time-series Analysis (Fifteenth National Conference on Artificial Intelligence), pp 58–63, Menlo Park, CA.
  4. Lane, T. (1999). "Hidden Markov Models for Human/Computer Interface Modeling." In Proceedings of the IJCAI-99 Workshop on Learning About Users (Sixteenth International Joint Conference on Artificial Intelligence), pp 35-44.
  5. Lane, T. and Kaelbling, L. P. (2001). "Toward Hierarchical Decomposition for Planning in Uncertain Environments." In Proceedings of the IJCAI-01 Workshop on Planning under Uncertainty and Incomplete Information, pp 1–7, Seattle, WA.
  6. Lane, T. and Kaelbling, L. P. (2001). "Approaches to Macro Decompositions of Large Markov Decision Process Planning Problems." In Proceedings of the 2001 SPIE Conference on Mobile Robotics, Newton, MA.
  7. Burge, J., Clark, V. P., and Lane, T. (2004). "Dynamic Bayesian Network Classification of fMRI Data Reveals Enhanced Functional Connectivity of the Amygdala in Senile Dementia." In Annual Meeting Abstracts Volume, Thirty-Fourth Annual Meeting of the Society for Neuroscience (SFN 2004), San Diego, CA.
  8. Burge, J. and Lane, T. (2005). "Comprehensibility of Generative vs. Class Discriminative Dynamic Bayes Multinets." In Proceedings of the AAAI-2005 Workshop on Human Comprehensible Machine Learning, Pittsburgh, PA.
  9. Lane, T. and Smart, W. D. (2005). "Position Paper: Why (PO)MDPs Lose for Spatial Tasks and What to Do About It." In Proc. ICML-2005 Workshop on Rich Representations for Reinforcement Learning, Bonn, Germany.
  10. Link, H., Lane, T., and Magliano, J. (2005). "Models and Model Biases for Automatically Learning Task Switching Behavior." In Proceedings of the 2005 HCI International (HCII) Conference on Augmented Cognition, Las Vegas, NV.
  11. Link, H., Saia, J., Lane, T., and Laviolette, R. (2005). "The Impact of Social Networks on Multi-Agent Recommender Systems." In van Someren, M. and Vlassis, N. (Eds.), Proceedings of the PKDD-2005 Workshop on Cooperative Multi-Agent Learning, Porto, Portugal.
  12. Qiu, S. and Lane, T. (2005). "String Kernels of Imperfect Matches for Off-target Detection in RNA Interference." In Sunderam, V. S., van Albada, G. D., Sloot, P. M. A., and Dongarra, J. J. (Eds.), International Workshop on Bioinformatics Research and Applications (at International Conference on Computational Science 2005), pp 894–902, Atlanta, GA.
  13. Roy, S., Lane, T., and Werner-Washburne, M. (2005). "A Datamining Approach to Cell Population Deconvolution from Gene Expressions using Particle Filters." In Zaki, M., Parthasarathy, S., and Wang, W. (Eds.), Proceedings 5th ACM SIGKDD Workshop on Data Mining in Bioinformatics, Chicago, IL.
  14. Zhao, W. and Lane, T. (2005). "siRNA Off-Target Search: A Hybrid q-gram Based Filtering Approach." In Zaki, M., Parthasarathy, S., and Wang, W. (Eds.), Proceedings 5th ACM SIGKDD Workshop on Data Mining in Bioinformatics, Chicago, IL.
  15. Roy, S., Lane, T., Allen, C., Aragon, A. D., and Werner-Washburne, M. (2006). "Cell Population Deconvolution using Particle Filters." In Apostolico, A., Guerra, C., Istrail, S., Pevzner, P., and Waterman, M. (Eds.), Proceedings of the RECOMB-2006 Poster Session, Venice, Italy.
  16. Roy, S., Lane, T., and Werner-Washburne, M. (2006). "Predicting protein-protein interactions using amino-acid composition." In Proceedings of the 2006 RECOMB Satellite Conferences on Systems Biology, San Diego, CA, USA.
  17. Clark, V. P., Manoach, D., Gollub, R., Ho, B. C., Lim, K. O., Burge, J., Lane, T., Lesnik, P., Calhoun, V. D., and Andreasen, N. C. (2007). "A Multi-Site fMRI Study of Schizophrenia: Effects of Illness Type and Duration on Brain Function and Connectivity." In International Congress on Schizophrenia Research, Colorado Springs, CO, USA.
  18. Fabian, N. and Lane, T. (2007). "Learning to Play Video Games Like a Human." In Proc. 2007 User Modelling Conference Demonstrations Track, Corfu, Greece.
  19. Plis, S. and Lane, T. (2007). "Dynamic Bayesian Networks for joint analysis of functional neuroimaging data." In 1032nd AMS Section Meeting, Albuquerque, NM.
  20. Wagstaff, K. L. and Lane, T. (2007). "Salience Assignment for Multiple-Instance Regression." In Proc. ICML 2007 Workshop on Constrained Optimization and Structured Output Spaces, Corvallis, OR.
  21. Wagstaff, K. L., Roper, A., and Lane, T. (2007). "County-Level Crop Yield Prediction Using Remote Sensing Data." In Proc. 2007 Fall Meeting of the American Geophysical Union.
  22. Plis, S., Wisend, M., Scully, M., Clark, V. P., and Lane, T. (2008). "Discovering Brains Functional Connectivity Through Joint Analysis of MEG and fMRI Data by Dynamic Bayesian Networks." In Proc. Fourteenth Annual Meeting of the Organization for Human Brain Mapping, Melbourne, Australia.
  23. Wagstaff, K., Lane, T., and Roper, A. (2008). "Multiple Instance Regression with Structured Data." In Zighed, D. A., Ras, Z. W., and Tsumoto, S. (Eds.), Proc. 2008 ICDM Workshop on Mining Complex Data, Pisa, Italy.
  24. Plis, S. M., Calhoun, V. D., Weisend, M. P., Eichele, T., Besada-Portas, E., and Lane, T. (2009). "Efficient sequential inference in DBNs: steps towards joint MEG/fMRI connectivity analysis." In NIPS 2009 Workshop on Connectivity Inference in Neuroimaging.
  25. Lane, T., Yackley, B., Plis, S., and Anderson, B. (2010). "Geometric Embedding for Learning Combinatorial Structures." In Proc. ICML-2010 Workshop on Learning in Non-(geo)metric Spaces, Haifa, Israel.
  26. Oyen, D. and Lane, T. (2010). "Learning Smoothly Varying Bayesian Network Structures Under Similar Contexts." In Snowbird Learning Workshop.

Technical Reports

  1. Lane, T. and Brodley, C. E. (1997). "Detecting the abnormal: Machine learning in computer security" (Purdue University, School of Electrical and Computer Engineering technical report TR-ECE 97-1). West Lafayette, IN.
  2. Lane, T. (1998). "Filtering Techniques for Rapid User Classification" (AAAI technical report WS-98-07). Menlo Park, CA.
  3. Lane, T. and Brodley, C. E. (1998). "Machine Learning for Computer Security: Learning to Classify Anomalies in Temporal Sequence Data" (Purdue University, School of Electrical and Computer Engineering technical report). West Lafayette, IN.
  4. Burge, J., Clark, V. P., Lane, T., Link, H., and Qiu, S. (2004). "Bayesian Classification of fMRI Data: Evidence for Altered Neural Networks in Dementia" (University of New Mexico technical report TR-CS-2004-28). Albuquerque, NM.
  5. Lane, T. (2004). "A Decision-Theoretic, Semi-Supervised Model for Intrusion Detection" (University of New Mexico technical report TR-CS-2004-16). Albuquerque, NM.
  6. Lane, T. and Wilson, A. (2004). "Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks" (University of New Mexico technical report TR-CS-2004-17). Albuquerque, NM.
  7. Qiu, S. and Lane, T. (2004). "Parallel Kernel Computation for High Dimensional Data and Its Application to fMRI Image Classification" (University of New Mexico technical report TR-CS-2004-12). Albuquerque, NM.
  8. Roy, S., Lane, T., Allen, C., Aragon, A. D., and Werner-Washburne, M. (2004). "A Sequential Monte Carlo Sampling Approach for Cell Population Deconvolution from Microarray Data" (University of New Mexico technical report TR-CS-2004-29).
  9. Zhao, W., Fanning, M. L., and Lane, T. (2004). "Efficient RNAi-Based Gene Family Knockdown via Set Cover Optimization" (University of New Mexico technical report TR-CS-2004-32). Albuquerque, NM.
  10. Link, H., Saia, J., Lane, T., and Laviolette, R. (2005). "Distributed Recommender Systems and the Network Topologies that Love Them" (University of New Mexico technical report TR-CS-2005-27). Albuquerque, NM.
  11. Qiu, S. and Lane, T. (2005). "Multiple Kernel Learning for Support Vector Regression" (University of New Mexico technical report TR-CS-2005-42). Albuquerque, NM.
  12. Zhao, W. and Lane, T. (2005). "A Practical Approach to Significance Assessment of siRNA Off-target Effects in RNA Interference" (University of New Mexico technical report TR-CS-2005-23). Albuquerque, NM, USA.
  13. Burge, J. and Lane, T. (2007). "Selecting Bayesian Network Parameterizations for Generating Simulated Data" (University of New Mexico technical report TR-CS-2007-10). Albuquerque, NM.
  14. Roy, S., Lane, T., and Werner-Washburne, M. (2007). "A Simulation Framework for Modeling Combinatorial Control in Transcription Regulatory Networks" (University of New Mexico technical report TR-CS-2007-06). Albuquerque, NM.
  15. Corona, E., Lane, T., Storlie, C., and Neil, J. (2008). "Using Laplacian Methods, RKHS Smoothing Splines and Bayesian Estimation as a framework for Regression on Graph and Graph Related Domains" (University of New Mexico technical report TR-CS-2008-06). Albuquerque, NM, USA.
  16. Roy, S., Lane, T., and Werner-Washburne, M. (2008). "Learning structurally consistent undirected probabilistic graphical models" (University of New Mexico technical report TR-CS-2008-14). Albuquerque, NM, USA.
  17. Yackley, B., Corona, E., and Lane, T. (2008). "Bayesian Network Score Approximation using a Metagraph Kernel" (University of New Mexico technical report TR-CS-2008-07). Albuquerque, NM, USA.
  18. Anderson, B. and Lane, T. (2009). "Fast Bayesian Network Structure Search Using Gaussian Processes" (University of New Mexico technical report TR-CS-2009-04). Albuquerque, NM, USA.

Last updated: Thu Sep 27 16:23:12 EDT 2012