Jayaraman J. Thiagarajan

Renato Umeton

Micah J. Sheller

Alejandro Aristizabal

Prakash Narayana Moorthy

Dimitrios Dimitriadis

Sreekar Reddy Puchala

Cassiano Ferro Moraes

Nat. Mac. Intell., July, 2023

Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data.

[BibT_eX]

[DOI]

Matthew L. Olson

Bogdan Kustowski

Weng-Keen Wong

CoRR, 2023

PAGER: A Framework for Failure Analysis of Deep Regression Models.

[BibT_eX]

[DOI]

CoRR, 2023

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction.

[BibT_eX]

[DOI]

Rakshith Subramanyam

T. S. Jayram

CoRR, 2023

The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Access, 2023

Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design.

[BibT_eX]

[DOI]

IEEE Access, 2023

Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Improving Diversity with Adversarially Learned Transformations for Domain Generalization.

[BibT_eX]

[DOI]

Tejas Gokhale

Chitta Baral

Yezhou Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

Target-Aware Generative Augmentations for Single-Shot Adaptation.

[BibT_eX]

[DOI]

Rakshith Subramanyam

Proceedings of the International Conference on Machine Learning, 2023

A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias.

[BibT_eX]

[DOI]

Danai Koutra

Proceedings of the Eleventh International Conference on Learning Representations, 2023

InterAug: A Tuning-Free Augmentation Policy for Data-Efficient and Robust Object Detection.

[BibT_eX]

[DOI]

Devi S

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Inlier and Outlier Specification for Improved Medical OOD Detection.

[BibT_eX]

[DOI]

Yamen Mubarka

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction.

[BibT_eX]

[DOI]

Jiaming Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Closer Look At Scoring Functions And Generalization Prediction.

[BibT_eX]

[DOI]

Danai Koutra

Proceedings of the IEEE International Conference on Acoustics, 2023

Single-Shot Domain Adaptation via Target-Aware Generative Augmentations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models.

[BibT_eX]

[DOI]

Matthew L. Olson

Weng-Keen Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Suppressing simulation bias in multi-modal data using transfer learning.

[BibT_eX]

[DOI]

Michael K. G. Kruse

Ryan Nora

Mach. Learn. Sci. Technol., 2022

A biology-informed similarity metric for simulated patches of human cell membrane.

[BibT_eX]

[DOI]

Harsh Bhatia

Mach. Learn. Sci. Technol., 2022

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors.

[BibT_eX]

[DOI]

Karthikeyan Ramamurthy

Sameeksha Katoch

Int. J. Virtual Pers. Learn. Environ., 2022

Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2022

Enabling machine learning-ready HPC ensembles with Merlin.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2022

On-the-fly Object Detection using StyleGAN with CLIP Guidance.

[BibT_eX]

[DOI]

Yuzhe Lu

Wesam Sakla

CoRR, 2022

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Analyzing Data-Centric Properties for Contrastive Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety.

[BibT_eX]

[DOI]

Danai Koutra

CoRR, 2022

Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Analyzing Data-Centric Properties for Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Single Model Uncertainty Estimation via Stochastic Data Centering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images.

[BibT_eX]

[DOI]

Rakshith Subramanyam

Mark Naufel

Proceedings of the International Conference on Machine Learning, 2022

Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

Predicting the Generalization Gap in Deep Models using Anchoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Sparsity Improves Unsupervised Attribute Discovery in Stylegan.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Domain Alignment Meets Fully Test-Time Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

Out of Distribution Detection via Neural Network Anchoring.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization.

[BibT_eX]

[DOI]

Gowtham Muniraju

Cihan Tepedelenlioglu

IEEE Trans. Neural Networks Learn. Syst., 2021

COVID-19 detection using cough sound analysis and deep learning algorithms.

[BibT_eX]

[DOI]

Sunil Rao

Michael Esposito

Intell. Decis. Technol., 2021

Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications.

[BibT_eX]

[DOI]

Hoseung Song

Frontiers Artif. Intell., 2021

MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

Improving Multi-Domain Generalization through Domain Re-labeling.

[BibT_eX]

[DOI]

CoRR, 2021

Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion.

[BibT_eX]

[DOI]

Ankita Shukla

Eugene Kur

CoRR, 2021

Δ-UQ: Accurate Uncertainty Quantification via Anchor Marginalization.

[BibT_eX]

[DOI]

CoRR, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

[BibT_eX]

[DOI]

CoRR, 2021

Designing Counterfactual Generators using Deep Model Inversion.

[BibT_eX]

[DOI]

CoRR, 2021

Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data.

[BibT_eX]

[DOI]

CoRR, 2021

Loss Estimators Improve Model Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

Designing Counterfactual Generators using Deep Model Inversion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-training with improved regularization for sample-efficient chest x-ray classification.

[BibT_eX]

[DOI]

Satyananda Kashyap

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Comparative Code Structure Analysis using Deep Learning for Performance Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

On the Design of Deep Priors for Unsupervised Audio Restoration.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection.

[BibT_eX]

[DOI]

Sunil Rao

Michael Esposito

Proceedings of the 12th International Conference on Information, 2021

Using Deep Image Priors to Generate Counterfactual Explanations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis.

[BibT_eX]

[DOI]

Moushumi Sharmin

Shameem Ahmed

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Accurate and Robust Feature Importance Estimation under Distribution Shifts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations.

[BibT_eX]

[DOI]

Tejas Gokhale

Chitta Baral

Yezhou Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Improved surrogates in inertial confinement fusion with manifold and cycle consistencies.

[BibT_eX]

[DOI]

Brian K. Spears

Proc. Natl. Acad. Sci. USA, 2020

Uncovering interpretable relationships in high-dimensional scientific data through function preserving projections.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2020

MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations.

[BibT_eX]

[DOI]

CoRR, 2020

Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models.

[BibT_eX]

[DOI]

CoRR, 2020

Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification.

[BibT_eX]

[DOI]

Satyananda Kashyap

CoRR, 2020

Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models.

[BibT_eX]

[DOI]

CoRR, 2020

Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration.

[BibT_eX]

[DOI]

CoRR, 2020

A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Reliability of Clinical Models Using Prediction Calibration.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

The Case of Performance Variability on Dragonfly-based Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Unsupervised Audio Source Separation Using Generative Priors.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Learn-By-Calibrating: Using Calibration As A Training Objective.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Regularized Attention Mechanism for Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452).

[BibT_eX]

[DOI]

Enrico Bertini

Daniela Oelke

Dagstuhl Reports, 2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.

[BibT_eX]

[DOI]

CoRR, 2019

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning.

[BibT_eX]

[DOI]

Sameeksha Katoch

CoRR, 2019

Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion.

[BibT_eX]

[DOI]

Brian K. Spears

CoRR, 2019

Improving Limited Angle CT Reconstruction with a Robust GAN Prior.

[BibT_eX]

[DOI]

K. Aditya Mohan

Kyle Champley

CoRR, 2019

Function Preserving Projection for Scalable Exploration of High-Dimensional Data.

[BibT_eX]

[DOI]

CoRR, 2019

SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2019

A Look at the Effect of Sample Design on Generalization through the Lens of Spectral Analysis.

[BibT_eX]

[DOI]

Qunwei Li

CoRR, 2019

Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets.

[BibT_eX]

[DOI]

Sameeksha Katoch

CoRR, 2019

Performance optimality or reproducibility: that is the question.

[BibT_eX]

[DOI]

Tapasya Patki

Alexis Ayala

Tanzima Z. Islam

Proceedings of the International Conference for High Performance Computing, 2019

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation.

[BibT_eX]

[DOI]

Satyananda Kashyap

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Multiple Subspace Alignment Improves Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Understanding Deep Neural Networks through Input Uncertainties.

[BibT_eX]

[DOI]

Irene Kim

Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Designing an Effective Metric Learning Pipeline for Speaker Diarization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

Improved Deep Embeddings for Inferencing with Multi-Layered Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Visual Exploration of Semantic Relationships in Neural Word Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2018

Optimizing Kernel Machines Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms.

[BibT_eX]

[DOI]

Charvi Rastogi

J. Mach. Learn. Res., 2018

Improved Community Detection using Deep Embeddings from Multilayer Graphs.

[BibT_eX]

[DOI]

CoRR, 2018

MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense.

[BibT_eX]

[DOI]

CoRR, 2018

Improving Robustness of Attention Models on Graphs.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Dimension Selection using a Blue Noise Spectrum.

[BibT_eX]

[DOI]

CoRR, 2018

Attention Models with Random Features for Multi-layered Graph Embeddings.

[BibT_eX]

[DOI]

CoRR, 2018

Can Deep Clinical Models Handle Real-World Domain Shifts?

[BibT_eX]

[DOI]

CoRR, 2018

Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization.

[BibT_eX]

[DOI]

Gowtham Muniraju

CoRR, 2018

An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Mitigating inter-job interference using adaptive flow-aware routing.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

PADDLE: Performance Analysis Using a Data-Driven Learning Environment.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Triplet Network with Attention for Speaker Diarization.

[BibT_eX]

[DOI]

Megan M. Willi

Visar Berisha

Proceedings of the Interspeech 2018, 2018

Bootstrapping Parameter Space Exploration for Fast Tuning.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Supercomputing, 2018

A Generative Modeling Approach to Limited Channel ECG Classification.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion.

[BibT_eX]

[DOI]

K. Aditya Mohan

Kyle Champley

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Attend and Diagnose: Clinical Time Series Analysis Using Attention Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Influential Sample Selection: A Graph Signal Processing Approach.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm.

[BibT_eX]

[DOI]

Youzuo Lin

Shusen Wang

George Guthrie

David Coblentz

CoRR, 2017

Performance modeling under resource constraints using deep transfer learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2017

Learning Robust Representations for Computer Vision.

[BibT_eX]

[DOI]

Peng Zheng

Aleksandr Y. Aravkin

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A deep learning approach to multiple kernel fusion.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Stair blue noise sampling.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2016

Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach.

[BibT_eX]

[DOI]

Prashant Khanduri

IEEE Signal Process. Lett., 2016

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning.

[BibT_eX]

[DOI]

CoRR, 2016

Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices.

[BibT_eX]

[DOI]

Jae-Seung Yeom

Greg Bronevetsky

Tzanio V. Kolev

Proceedings of the 7th International Workshop on Performance Modeling, 2016

A machine learning framework for performance coverage analysis of proxy applications.

[BibT_eX]

[DOI]

Tanzima Z. Islam

Martin Schulz

Todd Gamblin

Proceedings of the International Conference for High Performance Computing, 2016

Sparsifying Word Representations for Deep Unordered Sentence Modeling.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models.

[BibT_eX]

[DOI]

Qunwei Li

Zhenliang Zhang

Proceedings of the NIPS 2016 Time Series Workshop, 2016

Measuring glomerular number from kidney MRI images.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Auto-context modeling using multiple Kernel learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust Local Scaling Using Conditional Quantiles of Graph Similarities.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Consensus inference on mobile phone sensors for activity recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Beyond L2-loss functions for learning sparse models.

[BibT_eX]

[DOI]

Aleksandr Y. Aravkin

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Theoretical guarantees for poisson disk sampling using pair correlation function.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Learning Stable Multilevel Dictionaries for Sparse Representations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Undergraduate Signal Processing Laboratories for the Android Operating System.

[BibT_eX]

[DOI]

Suhas Ranganath

Mahesh K. Banavar

CoRR, 2015

Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections.

[BibT_eX]

[DOI]

Bei Wang

Valerio Pascucci

Comput. Graph. Forum, 2015

Identifying the Culprits Behind Network Congestion.

[BibT_eX]

[DOI]

Andrew R. Titus

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

A Randomized Ensemble Approach to Industrial CT Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Subspace learning using consensus on the grassmannian manifold.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Image Understanding Using Sparse Representations

[BibT_eX]

[DOI]

Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02250-0, 2014

Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Kernel Sparse Models for Automated Tumor Segmentation.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2014

Recovering non-negative and combined sparse representations.

[BibT_eX]

[DOI]

Digit. Signal Process., 2014

Computing persistent homology under random projection.

[BibT_eX]

[DOI]

Kush R. Varshney

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Multivariate volume visualization through dynamic projections.

[BibT_eX]

[DOI]

Bei Wang

Valerio Pascucci

Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014

Automatic image annotation using inverse maps from semantic embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Image segmentation using consensus from hierarchical segmentation ensembles.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

A scalable feature learning and tag prediction framework for natural environment sounds.

[BibT_eX]

[DOI]

Mohit Shah

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Consensus inference with multilayer graphs for multi-modal data.

[BibT_eX]

[DOI]

Premnishanth Kothandaraman

Ramanathan Nachiappan

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Sparse Methods in Image Understanding and Computer Vision.

[BibT_eX]

[DOI]

PhD thesis, 2013

Mixing matrix estimation using discriminative clustering for blind source separation.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

Learning Stable Multilevel Dictionaries for Sparse Representation of Images

[BibT_eX]

[DOI]

CoRR, 2013

Ensemble Sparse Models for Image Analysis

[BibT_eX]

[DOI]

CoRR, 2013

Boosted dictionaries for image restoration based on sparse representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

A heterogeneous dictionary model for representation and recognition of human actions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering.

[BibT_eX]

[DOI]

Panos Nasiopoulos

Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012

Supervised local sparse coding of sub-image features for image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Interactive DSP laboratories on mobile phones and tablets.

[BibT_eX]

[DOI]

Jinru Liu

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Work in progress: Performing signal analysis laboratories using Android devices.

[BibT_eX]

[DOI]

Suhas Ranganath

Mahesh K. Banavar

Proceedings of the IEEE Frontiers in Education Conference, 2012

Implementation of a fast image coding and retrieval system using a GPU.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Emerging Signal Processing Applications, 2012

Automated tumor segmentation using kernel sparse representations.

[BibT_eX]

[DOI]

David H. Frakes

Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

Learning dictionaries with graph embedding constraints.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Analysis of the MPEG-1 Layer III (MP3) Algorithm Using MATLAB

[BibT_eX]

[DOI]

Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01518-2, 2011

Optimality and stability of the K-hyperline clustering algorithm.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2011

Transform domain features for ion-channel signal classification.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2011

Improved sparse coding using manifold projections.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Analyte detection using an ion-channel sensor array.

[BibT_eX]

[DOI]

Michael Goryll

Trevor Thornton

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Work in progress - Modules and laboratories for a pathways course in signals and systems.

[BibT_eX]

[DOI]

Kostas Tsakalis

Proceedings of the 2011 Frontiers in Education Conference, 2011

Work in progress - Interactive signal-processing labs and simulations on iOS devices.

[BibT_eX]

[DOI]

Jinru Liu

Mahesh K. Banavar

Xue Zhang

Proceedings of the 2011 Frontiers in Education Conference, 2011

Learning dictionaries for local sparse coding in image classification.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Dimensionality Reduction for Distance Based Video Clustering.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2009

Template Learning using Wavelet Domain Statistical Models.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

Fast image registration with non-stationary Gauss-Markov random field templates.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

2008

Sparse Representations for Pattern Classification using Learned Dictionaries.

[BibT_eX]

[DOI]