Leslie M. Collins
Orcid: 0000-0002-9043-6531Affiliations:
- Duke University, Durham, NC, USA
According to our database1,
Leslie M. Collins
authored at least 126 papers
between 1994 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Language Model-Guided Classifier Adaptation for Brain-Computer Interfaces for Communication.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
2021
IEEE Trans. Biomed. Eng., 2021
Parameter Tuning of Time-Frequency Masking Algorithms for Reverberant Artifact Removal within the Cochlear Implant Stimulus.
CoRR, 2021
Phoneme-Based Ratio Mask Estimation for Reverberant Speech Enhancement in Cochlear Implant Processors.
CoRR, 2021
CoRR, 2021
Application of Compositional Neural Networks for Robust Classification of Infrared Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Mitigating the Impact of Psychophysical Effects During Adaptive Stimulus Selection in the P300 Speller Brain-Computer Interface.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Using Automatic Speech Recognition and Speech Synthesis to Improve the Intelligibility of Cochlear Implant users in Reverberant Listening Environments.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Heart Sound Analysis in Individuals Supported With Left Ventricular Assist Device: A First Look.
Proceedings of the Computing in Cardiology, 2020
2019
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2019
Automated feature learning using deep convolutional auto-encoder neural network for clustering electroencephalograms into sleep stages.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection.
IEEE Trans. Geosci. Remote. Sens., 2018
A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2018
gprHOG: Several Simple Improvements to the Histogram of Oriented Gradients Feature for Threat Detection in Ground-Penetrating Radar.
CoRR, 2018
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps.
CoRR, 2018
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery.
CoRR, 2018
Neurophysiology of Visual-Motor Learning During a Simulated Marksmanship Task in Immersive Virtual Reality.
Proceedings of the 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, 2018
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Application of a Graphical Model to Investigate the Utility of Cross-Channel Information for Mitigating Reverberation in Cochlear Implants.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Augmented Latent Dirichlet Allocation (Lda) Topic Model with Gaussian Mixture Topics.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
A Comparison of Feature Representations for Explosive Threat Detection in Ground Penetrating Radar Data.
IEEE Trans. Geosci. Remote. Sens., 2017
Adaptive stimulus selection in ERP-based brain-computer interfaces by maximizing expected discrimination gain.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017
Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017
2016
A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance.
IEEE Trans. Geosci. Remote. Sens., 2016
CoRR, 2016
Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
ALS Population Assessment of a Dynamic Stopping Algorithm Implementation for P300 Spellers.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 4, 2015
IEEE Trans. Geosci. Remote. Sens., 2015
Int. J. Pattern Recognit. Artif. Intell., 2015
Decis. Support Syst., 2015
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015
2014
Histograms of Oriented Gradients for Landmine Detection in Ground-Penetrating Radar Data.
IEEE Trans. Geosci. Remote. Sens., 2014
Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens., 2014
2013
Target Classification and Identification Using Sparse Model Representations of Frequency-Domain Electromagnetic Induction Sensor Data.
IEEE Trans. Geosci. Remote. Sens., 2013
Proceedings of the International Conference on Connected Vehicles and Expo, 2013
2012
Histogram of gradient features for buried threat detection in ground penetrating radar data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Variational Bayesian Learning for Mixture Autoregressive Models With Uncertain-Order.
IEEE Trans. Signal Process., 2011
A Framework for Information-Based Sensor Management for the Detection of Static Targets.
IEEE Trans. Syst. Man Cybern. Part A, 2011
Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination.
IEEE Trans. Geosci. Remote. Sens., 2011
A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
A hidden Markov context model for GPR-based landmine detection incorporating stick-breaking priors.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
2010
Dirichlet process based context learning for mine detection in hyperspectral imagery.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Phenomenolgical model inversion with Fisher information metrics for unexploded ordnance detection.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Context-dependent landmine detection with ground-penetrating radar using a Hidden Markov Context Model.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
Identifying channel-specific impairments in cochlear implant patients via partial least squares discriminant analysis of speech-token confusion matrices.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
2008
Bayesian Mitigation of Sensor Position Errors to Improve Unexploded Ordnance Detection.
IEEE Geosci. Remote. Sens. Lett., 2008
Statistical Models for Landmine Detection in Ground Penetrating Radar: Applications to Synthetic Data Generation and Pre-Screening.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Matching Pursuits Decomposition for Discrimination of Unexploded Ordnance: Isolated and Overlapping Signatures.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
IEEE Trans. Signal Process., 2007
IEEE Trans. Geosci. Remote. Sens., 2007
Decision Fusion of Ground-Penetrating Radar and Metal Detector Algorithms - A Robust Approach.
IEEE Trans. Geosci. Remote. Sens., 2007
Fundamentals of ECE: A Rigorous, Integrated Introduction to Electrical and Computer Engineering.
IEEE Trans. Educ., 2007
Predictions of Psychophysical Measurements for Sinusoidal Amplitude Modulated (SAM) Pulse-Train Stimuli From a Stochastic Model.
IEEE Trans. Biomed. Eng., 2007
Expediting the Identification of Impaired Channels in Cochlear Implants Via Analysis of Speech-Based Confusion Matrices.
IEEE Trans. Biomed. Eng., 2007
Identifying Impaired Cochlear Implant Channels via Speech-Token Confusion Matrix Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Two-dimensional and three-dimensional NUFFT migration method for landmine detection using ground-penetrating Radar.
IEEE Trans. Geosci. Remote. Sens., 2006
Ground Response Tracking for Improved Landmine Detection in Ground Penetrating Radar Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
2005
Application of feature extraction methods for landmine detection using the Wichmann/Niitek ground-penetrating radar.
IEEE Trans. Geosci. Remote. Sens., 2005
IEEE Trans. Geosci. Remote. Sens., 2005
Predicting dynamic range and intensity discrimination for electrical pulse-train stimuli using a stochastic auditory nerve model: the effects of stimulus noise.
IEEE Trans. Biomed. Eng., 2005
The Effects of Noise on Speech Recognition in Cochlear Implant Subjects: Predictions and Analysis Using Acoustic Models.
EURASIP J. Adv. Signal Process., 2005
2004
EMI-based classification of multiple closely spaced subsurface objects via independent component analysis.
IEEE Trans. Geosci. Remote. Sens., 2004
Discrimination mode processing for EMI and GPR sensors for hand-held land mine detection.
IEEE Trans. Geosci. Remote. Sens., 2004
Predicting the threshold of pulse-train electrical stimuli using a stochastic auditory nerve model: the effects of stimulus noise.
IEEE Trans. Biomed. Eng., 2004
Predicting auditory tone-in-noise detection performance: the effects of neural variability.
IEEE Trans. Biomed. Eng., 2004
IEEE Trans. Speech Audio Process., 2004
Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise.
IEEE Signal Process. Lett., 2004
Application of texture feature classification methods to landmine/clutter discrimination in off-lane GPR data.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
Theoretical prediction of dynamic range and intensity discrimination for electrical noise-modulated pulse-train stimuli.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Vowel and consonant confusion in noise by cochlear implant subjects: predicting performance using signal processing techniques.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2003
Sensing of unexploded ordnance with magnetometer and induction data: theory and signal processing.
IEEE Trans. Geosci. Remote. Sens., 2003
IEEE Trans. Geosci. Remote. Sens., 2003
Predicting the threshold of single-pulse electrical stimuli using a stochastic auditory nerve model: the effects of noise.
IEEE Trans. Biomed. Eng., 2003
A theoretical comparison of information transmission in the peripheral auditory system: Normal and impaired frequency discrimination.
Speech Commun., 2003
Integr. Comput. Aided Eng., 2003
2002
A statistical approach to landmine detection using broadband electromagnetic induction data.
IEEE Trans. Geosci. Remote. Sens., 2002
Model-based predictions of intensity discrimination for normal- and impaired-hearing listeners.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
A parameter transformation and Crame'r-Rao bounds for estimating decay rates from exponential signals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002
Proceedings of the IEEE International Conference on Acoustics, 2002
Threshold prediction for noise-modulated electrical stimuli using a stochastic auditory nerve model: Implications for cochlear implants.
Proceedings of the IEEE International Conference on Acoustics, 2002
A theoretical analysis of the effects of auditory impairment on intensity discrimination.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
A comparison of algorithms for subsurface target detection and identification using time-domain electromagnetic induction data.
IEEE Trans. Geosci. Remote. Sens., 2001
A comparison of the performance of statistical and fuzzy algorithms for unexploded ordnance detection.
IEEE Trans. Fuzzy Syst., 2001
A theoretical study of information transmission in the auditory system using signal detection theory: frequency discrimination by normal and impaired systems.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
Classification of landmine-like metal targets using wideband electromagnetic induction.
IEEE Trans. Geosci. Remote. Sens., 2000
A theoretical performance analysis and simulation of time-domain EMI sensor data for land mine detection.
IEEE Trans. Geosci. Remote. Sens., 2000
A two-dimensional generalized likelihood ratio test for land mine and small unexploded ordnance detection.
Signal Process., 2000
1999
IEEE Trans. Geosci. Remote. Sens., 1999
Using computational auditory models to predict simultaneous masking data: model comparison.
IEEE Trans. Biomed. Eng., 1999
A comparison of optimal and suboptimal processors for classification of buried metal objects.
IEEE Signal Process. Lett., 1999
A comparison using signal detection theory of the ability of two computational auditory models to predict experimental data.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
Classification of landmine-like metal targets using wideband electromagnetic induction.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1997
Proceedings of the Artificial Neural Networks, 1997
1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994