Year |
Citation |
Score |
2017 |
Unrau S, Torrione P, Hibbard M, Smith R, Olesen L, Watson J. Machine Learning Algorithms Applied to Detection of Well Control Events Sats. DOI: 10.2118/188104-Ms |
0.38 |
|
2017 |
Sakaguchi R, Morton KD, Collins LM, Torrione PA. A Comparison of Feature Representations for Explosive Threat Detection in Ground Penetrating Radar Data Ieee Transactions On Geoscience and Remote Sensing. 55: 6736-6745. DOI: 10.1109/Tgrs.2017.2732226 |
0.799 |
|
2016 |
Malof JM, Morton KD, Collins LM, Torrione PA. A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance Ieee Transactions On Geoscience and Remote Sensing. DOI: 10.1109/Tgrs.2016.2559505 |
0.779 |
|
2015 |
Manandhar A, Morton KD, Collins LM, Torrione PA. A nonparametric bayesian approach to multiple instance learning International Journal of Pattern Recognition and Artificial Intelligence. 29. DOI: 10.1142/S0218001415510015 |
0.776 |
|
2015 |
Kalika D, Knox MT, Collins LM, Torrione PA, Morton KD. Leveraging robust principal component analysis to detect buried explosive threats in handheld ground-penetrating radar data Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2177944 |
0.77 |
|
2015 |
Colwell KA, Torrione PA, Morton KD, Collins LM. Improving buried threat detection in ground-penetrating radar with transfer learning and metadata analysis Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2177940 |
0.762 |
|
2015 |
Knox M, Torrione P, Collins L, Morton K. Buried threat detection using a handheld ground penetrating radar system Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2177812 |
0.764 |
|
2015 |
Sakaguchi RT, Morton KD, Collins LM, Torrione PA. Recognizing subsurface target responses in ground penetrating radar data using convolutional neural networks Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2177747 |
0.767 |
|
2015 |
Reichman D, Morton KD, Malof JM, Collins LM, Torrione PA. Target signature localization in GPR data by jointly estimating and matching templates Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2176627 |
0.764 |
|
2015 |
Malof JM, Morton KD, Collins LM, Torrione PA. A queuing model for designing multi-modality buried target detection systems: Preliminary results Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2176610 |
0.768 |
|
2015 |
Camilo JA, Malof JM, Torrione PA, Collins LM, Morton KD. Clutter and target discrimination in forward-looking ground penetrating radar using sparse structured basis pursuits Proceedings of Spie - the International Society For Optical Engineering. 9454. DOI: 10.1117/12.2176491 |
0.764 |
|
2015 |
Manandhar A, Torrione PA, Collins LM, Morton KD. Multiple-instance hidden markov model for GPR-based landmine detection Ieee Transactions On Geoscience and Remote Sensing. 53: 1737-1745. DOI: 10.1109/Tgrs.2014.2346954 |
0.783 |
|
2014 |
Torrione P, Collins LM, Morton KD. Multivariate analysis, chemometrics, and machine learning in laser spectroscopy Laser Spectroscopy For Sensing: Fundamentals, Techniques and Applications. 125-164. DOI: 10.1533/9780857098733.1.125 |
0.739 |
|
2014 |
Malof JM, Knox M, Torrione PA, Collins LM, Morton KD. A novel algorithm for buried target detection evaluated on a collection of seismo-acoustic data Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2053842 |
0.784 |
|
2014 |
Malof JM, Morton KD, Collins LM, Torrione PA. Fusion of forward looking infrared and ground penetrating radar for improved stopping distances in landmine detection Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2051444 |
0.797 |
|
2014 |
Morton KD, Collins LM, Torrione PA. A robust Bayesian approach to target detection applied to explosive threat detection in handheld ground penetrating radar data Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2050514 |
0.773 |
|
2014 |
Kalika D, Morton KD, Collins LM, Torrione PA. Hyperbolic and PLSDA filter algorithms to detect buried threats in GPR data Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2050502 |
0.72 |
|
2014 |
Reichman D, Morton KD, Collins LM, Torrione PA. Target localization and signature extraction in GPR data using expectation-maximization and principal component analysis Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2049874 |
0.784 |
|
2014 |
Torrione PA, Collins LM, Morton KD. Experiment design for measuring the probability of detection in remote sensing: How many objects and how many passes Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2049704 |
0.728 |
|
2014 |
Sakaguchi RT, Morton KD, Collins LM, Torrione PA. Physics-based deformations of ground penetrating radar signals to improve the detection of buried explosives Proceedings of Spie - the International Society For Optical Engineering. 9072. DOI: 10.1117/12.2049316 |
0.763 |
|
2014 |
Ratto CR, Jr KDM, Collins LM, Torrione PA. Bayesian context-dependent learning for anomaly classification in hyperspectral imagery Ieee Transactions On Geoscience and Remote Sensing. 52: 1969-1981. DOI: 10.1109/Tgrs.2013.2257175 |
0.836 |
|
2014 |
Torrione PA, Morton KD, Sakaguchi R, Collins LM. Histograms of oriented gradients for landmine detection in ground-penetrating radar data Ieee Transactions On Geoscience and Remote Sensing. 52: 1539-1550. DOI: 10.1109/Tgrs.2013.2252016 |
0.813 |
|
2014 |
Ratto CR, Morton KD, Collins LM, Torrione PA. Analysis of linear prediction for soil characterization in gpr data for countermine applications Sensing and Imaging. 15. DOI: 10.1007/s11220-014-0086-8 |
0.811 |
|
2013 |
Sakaguchi RT, Morton KD, Collins LM, Torrione PA. Application of image categorization methods for buried threat detection in GPR data Proceedings of Spie - the International Society For Optical Engineering. 8709. DOI: 10.1117/12.2016709 |
0.752 |
|
2013 |
Manandhar A, Morton KD, Collins LM, Torrione PA. Multiple instance hidden markov models for GPR-based landmine detection Proceedings of Spie - the International Society For Optical Engineering. 8709. DOI: 10.1117/12.2016401 |
0.791 |
|
2013 |
Malof JM, Morton KD, Collins LM, Torrione PA. A novel framework for processing forward looking infrared imagery with application to buried threat detection Proceedings of Spie - the International Society For Optical Engineering. 8709. DOI: 10.1117/12.2016113 |
0.784 |
|
2013 |
Tantum SL, Colwell KA, Scott WR, Torrione PA, Collins LM, Morton KD. Sparse model inversion and processing of spatial frequency-domain electromagnetic induction sensor array data for improved landmine discrimination Proceedings of Spie - the International Society For Optical Engineering. 8709. DOI: 10.1117/12.2016063 |
0.76 |
|
2013 |
Tantum SL, Scott WR, Morton KD, Collins LM, Torrione PA. Target classification and identification using sparse model representations of frequency-domain electromagnetic induction sensor data Ieee Transactions On Geoscience and Remote Sensing. 51: 2689-2706. DOI: 10.1109/Tgrs.2012.2215876 |
0.787 |
|
2013 |
Torrione P, Morton KD, Gottfried JL, Collins LM. A new approach to elemental inference in LIBS: A statistical model for spectral analysis Optics Infobase Conference Papers. |
0.695 |
|
2012 |
Tantum SL, Morton KD, Collins LM, Torrione PA. Investigation of the effects of operator technique on handheld sensor data for landmine detection Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.919427 |
0.744 |
|
2012 |
Tantum SL, Colwell KA, Morton KD, Scott WR, Collins LM, Torrione PA. Feature extraction and processing of spatial frequency-domain electromagnetic induction sensor data for improved landmine discrimination Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.919421 |
0.764 |
|
2012 |
Wang PK, Torrione PA, Collins LM, Morton KD. Rapid position estimation and tracking for autonomous driving Proceedings of Spie - the International Society For Optical Engineering. 8387. DOI: 10.1117/12.919317 |
0.715 |
|
2012 |
Ratto CR, Morton KD, McMichael IT, Burns BP, Clark WW, Collins LM, Torrione PA. Integration of lidar with the NIITEK GPR for improved performance on rough terrain Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.919119 |
0.816 |
|
2012 |
Ratto CR, Morton KD, Collins LM, Torrione PA. A Bayesian method for discriminative context-dependent fusion of GPR-based detection algorithms Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.919079 |
0.827 |
|
2012 |
Malof JM, Morton KD, Collins LM, Torrione PA. Processing forward-looking data for anomaly detection: Single-look, multi-look, and spatial classification Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.918447 |
0.787 |
|
2012 |
Sakaguchi RT, Morton KD, Collins LM, Torrione PA. Keypoint-based image processing for landmine detection in GPR data Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.918361 |
0.77 |
|
2012 |
Manandhar A, Morton KD, Collins LM, Torrione PA. Multiple instance learning for landmine detection using ground penetrating radar Proceedings of Spie - the International Society For Optical Engineering. 8357. DOI: 10.1117/12.917947 |
0.808 |
|
2012 |
Torrione P, Morton KD, Sakaguchi R, Collins LM. Histogram of gradient features for buried threat detection in ground penetrating radar data International Geoscience and Remote Sensing Symposium (Igarss). 3182-3185. DOI: 10.1109/IGARSS.2012.6350748 |
0.783 |
|
2012 |
Dedigama A, Angelo M, Torrione P, Kim TH, Wolter S, Lampert W, Atewologun A, Edirisoorya M, Collins L, Kuech TF, Losurdo M, Bruno G, Brown A. Hemin-functionalized InAs-based high sensitivity room temperature NO gas sensors Journal of Physical Chemistry C. 116: 826-833. DOI: 10.1021/Jp2086889 |
0.534 |
|
2011 |
Morton KD, Torrione PA, Collins L. Classification of acoustic gunshot signatures using a nonparametric Bayesian signal model Proceedings of Spie - the International Society For Optical Engineering. 8019. DOI: 10.1117/12.885114 |
0.776 |
|
2011 |
Morton KD, Torrione PA, Collins L. Signal processing for the detection of explosive residues on varying substrates using laser induced breakdown spectroscopy Proceedings of Spie - the International Society For Optical Engineering. 8018. DOI: 10.1117/12.885111 |
0.769 |
|
2011 |
Torrione PA, Morton K, Collins LM. The Viterbi algorithm as an approach for incorporating spatial information into air/ground interface inference in GPR data Proceedings of Spie - the International Society For Optical Engineering. 8017. DOI: 10.1117/12.884875 |
0.758 |
|
2011 |
Wang PK, Morton KD, Collins LM, Torrione PA. Exploiting spectral content for image segmentation in GPR data Proceedings of Spie - the International Society For Optical Engineering. 8017. DOI: 10.1117/12.884874 |
0.771 |
|
2011 |
Ratto CR, Morton KD, Collins LM, Torrione PA. Contextual learning in ground-penetrating radar data using Dirichlet process priors Proceedings of Spie - the International Society For Optical Engineering. 8017. DOI: 10.1117/12.884872 |
0.837 |
|
2011 |
Manandhar A, Morton KD, Collins LM, Torrione PA. Multiple instance learning framework for landmine detection using ground penetrating radar Proceedings of Spie - the International Society For Optical Engineering. 8017. DOI: 10.1117/12.884869 |
0.779 |
|
2011 |
Ratto CR, Morton KD, Collins LM, Torrione PA. Physics-based features for identifying contextual factors affecting landmine detection with ground-penetrating radar Proceedings of Spie - the International Society For Optical Engineering. 8017. DOI: 10.1117/12.884868 |
0.828 |
|
2011 |
Tantum SL, Morton KD, Collins LM, Torrione PA. Frequency-domain electromagnetic induction sensor data feature extraction and processing for improved landmine detection Proceedings of Spie - the International Society For Optical Engineering. 8017. DOI: 10.1117/12.884769 |
0.767 |
|
2011 |
Ratto CR, Morton KD, Collins LM, Torrione PA. A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification Workshop On Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. DOI: 10.1109/WHISPERS.2011.6080927 |
0.822 |
|
2011 |
Morton KD, Torrione PA, Collins LM. Variational bayesian learning for mixture autoregressive models with uncertain-order Ieee Transactions On Signal Processing. 59: 2614-2627. DOI: 10.1109/Tsp.2011.2128310 |
0.736 |
|
2011 |
Ratto CR, Torrione PA, Collins LM. Exploiting ground-penetrating radar phenomenology in a context-dependent framework for landmine detection and discrimination Ieee Transactions On Geoscience and Remote Sensing. 49: 1689-1700. DOI: 10.1109/Tgrs.2010.2084093 |
0.844 |
|
2011 |
Ratto CR, Morton KD, Collins LM, Torrione PA. A hidden Markov context model for GPR-based landmine detection incorporating stick-breaking priors International Geoscience and Remote Sensing Symposium (Igarss). 874-877. DOI: 10.1109/IGARSS.2011.6049270 |
0.828 |
|
2011 |
Bolton J, Gader P, Frigui H, Torrione P. Random set framework for multiple instance learning Information Sciences. 181: 2061-2070. DOI: 10.1016/J.Ins.2010.12.020 |
0.405 |
|
2010 |
Tantum SL, Torrione PA, Collins LM. Sparse model representations of target signatures for improved landmine detection using frequency-domain electromagnetic induction sensors Proceedings of Spie - the International Society For Optical Engineering. 7664. DOI: 10.1117/12.851378 |
0.632 |
|
2010 |
Kolba MP, Torrione PA, Collins LM. Fusion of ground-penetrating radar and electromagnetic induction sensors for landmine detection and discrimination Proceedings of Spie - the International Society For Optical Engineering. 7664. DOI: 10.1117/12.851364 |
0.81 |
|
2010 |
Ratto CR, Torrione PA, Collins LM. Context-dependent feature selection using unsupervised contexts applied to GPR-based landmine detection Proceedings of Spie - the International Society For Optical Engineering. 7664. DOI: 10.1117/12.850906 |
0.838 |
|
2010 |
Morton KD, Torrione PA, Collins L. Nonparametric Bayesian time-series modeling and clustering of time-domain ground penetrating radar landmine responses Proceedings of Spie - the International Society For Optical Engineering. 7664. DOI: 10.1117/12.850335 |
0.752 |
|
2010 |
Morton KD, Torrione P, Collins LM. Dirichlet process based context learning for mine detection in hyperspectral imagery 2nd Workshop On Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Whispers 2010 - Workshop Program. DOI: 10.1109/WHISPERS.2010.5594926 |
0.8 |
|
2009 |
Bradbury K, Torrione PA, Collins L. Realtime gaussian markov random field based ground tracking for ground penetrating radar data Proceedings of Spie - the International Society For Optical Engineering. 7303. DOI: 10.1117/12.818781 |
0.593 |
|
2009 |
Ratto CR, Torrione PA, Collins LM. Context-dependent feature selection for landmine detection with ground-penetrating radar Proceedings of Spie - the International Society For Optical Engineering. 7303. DOI: 10.1117/12.817946 |
0.827 |
|
2009 |
Torrione P, Ratto C, Collins LM. Multiple instance and context dependent learning in hyperspectral data Whispers '09 - 1st Workshop On Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. DOI: 10.1109/WHISPERS.2009.5289021 |
0.61 |
|
2009 |
Tantum SL, Zhu Q, Torrione PA, Collins LM. Modeling position error probability density functions for statistical inversions using a Goff-Jordan rough surface model Stochastic Environmental Research and Risk Assessment. 23: 155-167. DOI: 10.1007/S00477-007-0210-6 |
0.639 |
|
2008 |
Morton KD, Torrione PA, Throckmorton CS, Collins LM. Mandarin Chinese tone identification in cochlear implants: predictions from acoustic models. Hearing Research. 244: 66-76. PMID 18706497 DOI: 10.1016/J.Heares.2008.07.008 |
0.792 |
|
2008 |
Kolba MP, Torrione PA, Scott WR, Collins LM. Information‐based sensor management for landmine detection using electromagnetic induction, ground‐penetrating radar, and seismic sensors Journal of the Acoustical Society of America. 123: 3042-3042. DOI: 10.1121/1.2932727 |
0.795 |
|
2008 |
Fails EB, Torrione PA, Scott WR, Collins LM. Performance comparison of frequency domain quadrupole and dipole electromagnetic induction sensors in a landmine detection application Proceedings of Spie - the International Society For Optical Engineering. 6953. DOI: 10.1117/12.778898 |
0.34 |
|
2008 |
Torrione PA, Collins L. Application of Markov random fields to landmine discrimination in ground penetrating radar data Proceedings of Spie - the International Society For Optical Engineering. 6953. DOI: 10.1117/12.777746 |
0.627 |
|
2008 |
Remus JJ, Morton KD, Torrione PA, Tantum SL, Collins LM. Comparison of a distance-based likelihood ratio test and k-nearest neighbor classification methods Proceedings of the 2008 Ieee Workshop On Machine Learning For Signal Processing, Mlsp 2008. 362-367. DOI: 10.1109/MLSP.2008.4685507 |
0.782 |
|
2008 |
Kolba MP, Torrione PA, Scott WR, Collins LM. Information-based sensor management for landmine detection using electromagnetic induction, ground-penetrating radar, and seismic sensors Proceedings - European Conference On Noise Control. 63-68. |
0.769 |
|
2007 |
Fails EB, Torrione PA, Scott WR, Collins LM. Performance of a four parameter model for modeling landmine signatures in frequency domain wideband electromagnetic induction detection systems Proceedings of Spie - the International Society For Optical Engineering. 6553. DOI: 10.1117/12.719460 |
0.629 |
|
2007 |
Tang L, Torrione PA, Eldeniz C, Collins LM. Ground bounce tracking for landmine detection using a sequential Monte Carlo method Proceedings of Spie - the International Society For Optical Engineering. 6553. DOI: 10.1117/12.718462 |
0.357 |
|
2007 |
Torrione PA, Collins L. Image segmentation techniques for improved processing of landmine responses in ground penetrating radar data Proceedings of Spie - the International Society For Optical Engineering. 6553. DOI: 10.1117/12.718128 |
0.536 |
|
2007 |
Torrione P, Collins LM. Texture Features for Antitank Landmine Detection Using Ground Penetrating Radar Ieee Transactions On Geoscience and Remote Sensing. 45: 2374-2382. DOI: 10.1109/Tgrs.2007.896548 |
0.633 |
|
2006 |
Song J, Liu QH, Torrione P, Collins L. Two-dimensional and three-dimensional NUFFT migration method for landmine detection using ground-penetrating Radar Ieee Transactions On Geoscience and Remote Sensing. 44: 1462-1469. DOI: 10.1109/Tgrs.2006.870412 |
0.648 |
|
2006 |
Torrione PA, Throckmorton CS, Collins LM. Performance of an adaptive feature-based processor for a wideband ground penetrating radar system Ieee Transactions On Aerospace and Electronic Systems. 42: 644-658. DOI: 10.1109/Taes.2006.1642579 |
0.809 |
|
2005 |
Kolba MP, Torrione PA, Collins LM. Information-based sensor management for landmine detection using multimodal sensors Proceedings of Spie - the International Society For Optical Engineering. 5794: 1098-1107. DOI: 10.1117/12.603582 |
0.769 |
|
2005 |
Torrione PA, Throckmorton CS, Collins L, Clodfelter F, Frasier S, Starnes I, Bishop S, Gugino P, Howard P, Weaver R, Rosen E. Application of matched subspace detectors to target detection and identification in ground penetrating radar data Proceedings of Spie - the International Society For Optical Engineering. 5794: 1160-1171. DOI: 10.1117/12.602754 |
0.737 |
|
2004 |
Throckmorton CS, Torrione PA, Collins LM, Gader P, Lee WH, Wilson JN. The efficacy of human observation for discrimination and feature identification of targets measured by the NIITEK ground penetrating radar Proceedings of Spie - the International Society For Optical Engineering. 5415: 963-972. DOI: 10.1117/12.541168 |
0.744 |
|
2004 |
Torrione PA, Throckmorton CS, Collins L, Clodfelter F, Frasier S, Starnes I, Bishop S, Gugino P, Howard P, Weaver R, Rosen E. Feature-based processing of pre-screener generated alarms for performance improvements in target identification using the niitek ground-penetrating radar system Proceedings of Spie - the International Society For Optical Engineering. 5415: 984-995. DOI: 10.1117/12.540926 |
0.756 |
|
2004 |
Torrione P, Collins L. Performance Comparison of Automated Induction-Based Algorithms for Landmine Detection in a Blind Field Test Subsurface Sensing Technologies and Applications. 5: 121-150. DOI: 10.1007/S11220-004-0986-0 |
0.667 |
|
2002 |
Collins LM, Torrione P, Munshi V, Throckmorton CS, Zhu Q, Clodfelter F, Frasier S. Algorithms for landmine detection using the NIITEK ground penetrating radar Proceedings of Spie - the International Society For Optical Engineering. 4742: 709-718. DOI: 10.1117/12.479144 |
0.762 |
|
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