Jennifer G. Dy
Orcid: 0000-0002-8430-134XAffiliations:
- Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
According to our database1,
Jennifer G. Dy
authored at least 191 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on ece.neu.edu
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Bibliography
2024
Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming.
IEEE/ACM Trans. Netw., August, 2024
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Artif. Intell. Eng. Des. Anal. Manuf., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE Trans. Veh. Technol., 2022
Pattern Recognit., 2022
Neuroinformatics, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.
IEEE Trans. Biomed. Eng., 2021
Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.
PLoS Comput. Biol., 2021
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net).
Medical Image Anal., 2021
CoRR, 2021
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
IEEE Trans. Veh. Technol., 2020
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.
npj Digit. Medicine, 2020
IEEE Internet Things Mag., 2020
CoRR, 2020
IEEE Commun. Mag., 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning.
IEEE Trans. Medical Imaging, 2019
J. Mach. Learn. Res., 2019
Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion.
CoRR, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Impairment Shift Keying: Covert Signaling by Deep Learning of Controlled Radio Imperfections.
Proceedings of the 2019 IEEE Military Communications Conference, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning.
Proceedings of the 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
A Multiresolution Deep Learning Framework for Automated Annotation of Reflectance Confocal Microscopy Images.
CoRR, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.
IEEE Trans. Medical Imaging, 2017
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin.
IEEE Trans. Image Process., 2017
IEEE Trans. Geosci. Remote. Sens., 2017
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data.
Medical Image Anal., 2017
J. Mach. Learn. Res., 2017
J. Mach. Learn. Res., 2017
Delineation of Skin Strata in Reflectance Confocal Microscopy Images using Recurrent Convolutional Networks with Toeplitz Attention.
CoRR, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Delineation of Skin Strata in Reflectance Confocal Microscopy Images with Recurrent Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of The 9th Asian Conference on Machine Learning, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy.
Proceedings of the 1st Machine Learning in Health Care, 2016
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Exploring image-based indicators of crime and economic well-being in sub-saharan Africa.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016
2015
Mach. Learn., 2015
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Securing virtual execution environments through machine learning-based intrusion detection.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
A Sparse Combined Regression-Classification Formulation for Learning a Physiological Alternative to Clinical Post-Traumatic Stress Disorder Scores.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints.
IEEE Trans. Image Process., 2014
Stat. Anal. Data Min., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
J. Comput. Sci. Technol., 2014
Proceedings of the IEEE Eighth International Conference on Software Security and Reliability, 2014
Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
A quantitative analytic pipeline for evaluating neuronal activities by high-throughput synaptic vesicle imaging.
NeuroImage, 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the 4th Asian Conference on Machine Learning, 2012
BMC Bioinform., 2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
GPU-Accelerated Feature Selection for Outlier Detection Using the Local Kernel Density Ratio.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
ACM SIGOPS Oper. Syst. Rev., 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Proceedings of the MASCOTS 2011, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Longitudinal monitoring of patients with Parkinson's disease via wearable sensor technology in the home setting.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011
2010
SIGKDD Explor., 2010
A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology.
Proc. IEEE, 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the UAI 2010, 2010
Proceedings of the SIAM International Conference on Data Mining, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
3D level set esophagus segmentation in thoracic CT images using spatial, appearance and shape models.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Effective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
2009
Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors.
IEEE Trans. Inf. Technol. Biomed., 2009
An Automated Pipeline for Dendrite Spine Detection and Tracking of 3D Optical Microscopy Neuron Images of In Vivo Mouse Models.
Neuroinformatics, 2009
J. Mach. Learn. Res., 2009
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue.
Int. J. Hum. Comput. Stud., 2009
Localizing the Dermis/Epidermis Boundary in Reflectance Confocal Microscopy Images with a Hybrid Classification Algorithm.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the IJCAI 2009, 2009
2008
Pattern Recognit., 2008
Optim. Methods Softw., 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
In search of deterministic methods for initializing K-means and Gaussian mixture clustering.
Intell. Data Anal., 2007
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
2006
Proceedings of the Machine Learning: ECML 2006, 2006
2005
Proceedings of the 16th IEEE International Workshop on Rapid System Prototyping (RSP 2005), 2005
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005
Enabling a RealTime Solution for Neuron Detection with Reconfigurable Hardware (abstract only).
Proceedings of the ACM/SIGDA 13th International Symposium on Field Programmable Gate Arrays, 2005
2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the Machine Learning, 2004
Proceedings of the Machine Learning, 2004
2003
IEEE Trans. Pattern Anal. Mach. Intell., 2003
2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
Feature Subset Selection and Order Identification for Unsupervised Learning.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
1999
Proceedings of the Storage and Retrieval for Image and Video Databases VII, 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Content-Based Retrieval from Medical Image Databases: A Synergy of Human Interaction, Machine Learning and Computer Vision.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999