Andreas Spanias

ORCID

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 147

Top Venues

Publications

Deep Pujara, David Ramirez, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias
Design of a New Photovoltaic Intelligent Monitoring and Control Device. IISA (2023)
Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. MIDL (2023)
Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias
Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks. IEEE Access 11 (2023)
Mohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias
Class GP: Gaussian Process Modeling for Heterogeneous Functions. LION (2023)
Lavanya Shri S. A., Bhavikumar Patel, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers
Analysis of a Modified SEIRS Compartmental Model for COVID-19. ACSSC (2023)
Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images. CoRR (2023)
Chao Wang, Aradhita Sharma, Glen S. Uehara, Leslie Miller, Deep Pujara, Wendy Barnard, Jean S. Larson, Andreas Spanias
Introducing Quantum Computing in a Sophomore Signals and Systems Course. FIE (2023)
Maxwell Yarter, Glen S. Uehara, Andreas Spanias
Investigating a Quantum Cloud Paradigm with Quantum Neural Networks. MWSCAS (2023)
Aradhita Sharma, Glen S. Uehara, Andreas Spanias
Quantum Linear Prediction for System Identification and Spectral Estimation Applications. ACSSC (2023)
Sameeksha Katoch, Odrika Iqbal, Andreas Spanias, Suren Jayasuriya
Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning. IEEE Access 11 (2023)
Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Isaac Torres Muro, Robert LiKamWa, Andreas Spanias
Software-Defined Imaging: A Survey. Proc. IEEE 111 (5) (2023)
Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor
AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. ICIP (2023)
Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias
Signal Analysis-Synthesis Using the Quantum Fourier Transform. ICASSP (2023)
Sunil Rao, Deep Pujara, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan
Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks. ICPS (2023)
Leslie Miller, Glen S. Uehara, Aradhita Sharma, Andreas Spanias
Quantum Machine Learning for Optical and SAR Classification. DSP (2023)
Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya
Adaptive Subsampling for ROI-Based Visual Tracking: Algorithms and FPGA Implementation. IEEE Access 10 (2022)
Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias
Quantum Machine Learning for Photovoltaic Topology Optimization. IISA (2022)
Maxwell Yarter, Glen S. Uehara, Andreas Spanias
Implementation and Analysis of Quantum Homomorphic Encryption. IISA (2022)
Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan
Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection. CoRR (2022)
Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Irene Kim, Yamen Mubarka, Andreas Spanias, Jayaraman J. Thiagarajan
Predicting the Generalization Gap in Deep Models using Anchoring. ICASSP (2022)
Glen S. Uehara, Jean S. Larson, Wendy Barnard, Michael Esposito, Filippo Posta, Maxwell Yarter, Aradhita Sharma, Niki Kyriacou, Matthew Dobson, Andreas Spanias
Undergraduate Research and Education in Quantum Machine Learning. FIE (2022)
Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias
Graph-Based Classification With Multiple Shift Matrices. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Greg Raupp, Nadia Kellam, Megan O'Donnell, Wendy Barnard, Jean S. Larson, Noel E. O'Connor, Nicholas Dunne, Stephen Daniels, Suzanne Little
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA (2022)
Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Ramamurthy, Andreas Spanias, Mahesh K. Banavar, Abhinav Dixit, Jie Fan, Mohit Malu, Kristen Jaskie, Sunil Rao, Uday Shankar Shanthamallu, Vivek Sivaraman Narayanaswamy, Sameeksha Katoch
Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors. Int. J. Virtual Pers. Learn. Environ. 12 (1) (2022)
Michael Esposito, Glen S. Uehara, Andreas Spanias
Quantum Machine Learning for Audio Classification with Applications to Healthcare. IISA (2022)
Monalisa Achalla, Gowtham Muniraju, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers
Distributed Consensus based COVID-19 Hotspot Density Estimation. IISA (2022)
David Ramirez, Suren Jayasuriya, Andreas Spanias
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques. CoRR (2022)
Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML (2022)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
On the Design of Deep Priors for Unsupervised Audio Restoration. Interspeech (2021)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI (2021)
Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Devarajan Srinivasan, Govindasamy Tamizhmani, Andreas Spanias
Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays. IEEE Access 9 (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias
Loss Estimators Improve Model Generalization. CoRR (2021)
Joshua Martin, Kristen Jaskie, Yiannis Tofis, Andreas Spanias
PV Array Soiling Detection using Machine Learning. IISA (2021)
Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan
Improving Multi-Domain Generalization through Domain Re-labeling. CoRR (2021)
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. AAAI (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
On the Design of Deep Priors for Unsupervised Audio Restoration. CoRR (2021)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias
Designing Counterfactual Generators using Deep Model Inversion. NeurIPS (2021)
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Distributed Edge Counting for Wireless Sensor Networks. ACSCC (2021)
Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Cihan Tepedelenlioglu, Andreas Spanias
Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization. IEEE Trans. Neural Networks Learn. Syst. 32 (3) (2021)
Glen Uehara, Sunil Rao, Mathew Dobson, Cihan Tepedelenlioglu, Andreas Spanias
Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection. IISA (2021)
Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias
Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection. IISA (2021)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
Using Deep Image Priors to Generate Counterfactual Explanations. ICASSP (2021)
Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias
COVID-19 Detection using Audio Spectral Features and Machine Learning. ACSCC (2021)
Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias
COVID-19 detection using cough sound analysis and deep learning algorithms. Intell. Decis. Technol. 15 (4) (2021)
Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation. CoRR (2021)
Mohit Malu, Gautam Dasarathy, Andreas Spanias
Bayesian Optimization in High-Dimensional Spaces: A Brief Survey. IISA (2021)
Vivek Sivaraman Narayanaswamy, Photini Spanias, Sunil Rao, Andreas Spanias
Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period. FIE (2021)
Glen S. Uehara, Andreas Spanias, William Clark
Quantum Information Processing Algorithms with Emphasis on Machine Learning. IISA (2021)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias
Designing Counterfactual Generators using Deep Model Inversion. CoRR (2021)
Kristen Jaskie, Jean S. Larson, Milton Johnson, Kathy Turner, Megan O'Donnell, Jennifer Blain Christen, Sunil Rao, Andreas Spanias
Research Experiences for Teachers in Machine Learning. FIE (2021)
Kristen Jaskie, Dominique Smith, Andreas Spanias
Deep Learning Networks for Vectorized Energy Load Forecasting. IISA (2020)
Andreas Spanias
Machine Learning Workforce Development Programs on Health and COVID-19 Research. IISA (2020)
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias
Using Deep Image Priors to Generate Counterfactual Explanations. CoRR (2020)
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. CoRR (2020)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias
Unsupervised Audio Source Separation using Generative Priors. CoRR (2020)
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Consensus Based Distributed Spectral Radius Estimation. IEEE Signal Process. Lett. 27 (2020)
Jie Fan, Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Fault Classification in Photovoltaic Arrays Using Graph Signal Processing. ICPS (2020)
Kristen Jaskie, Joshua Martin, Sunil Rao, W. Barnard, Photini Spanias, Elias Kyriakides, Yiannis Tofis, Lenos Hadjidemetriou, Maria K. Michael, Theocharis Theocharides, S. Hadjistassou, Andreas Spanias
IRES Program in Sensors and Machine Learning for Energy Systems. IISA (2020)
Dominique Smith, Kristen Jaskie, John J. Cadigan, Joseph W. Marvin, Andreas Spanias
Machine Learning For Fast Short-Term Energy Load Forecasting. ICPS (2020)
Odrika Iqbal, Saquib Siddiqui, Joshua Martin, Sameeksha Katoch, Andreas Spanias, Daniel Bliss, Suren Jayasuriya
Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking. ICIP (2020)
Joshua Vandermeer, Frank Giuliani, Erica Low, Katherine Thomasson, Andreas Spanias
Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller. IISA (2020)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias
Unsupervised Audio Source Separation Using Generative Priors. INTERSPEECH (2020)
Jayden Booth, Ahmed Ewaisha, Andreas Spanias, Ahmed Alkhateeb
Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype. ACSSC (2020)
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias
A Regularized Attention Mechanism for Graph Attention Networks. ICASSP (2020)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR (2020)
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Distributed Spectral Radius Estimation in Wireless Sensor Networks. ACSSC (2019)
Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias
Graph Filtering with Multiple Shift Matrices. ICASSP (2019)
Raksha Ramakrishna, Anna Scaglione, Andreas Spanias, Cihan Tepedelenlioglu
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. ICASSP (2019)
Blaine Ayotte, Justin Au-Yeung, Mahesh K. Banavar, Dana M. Barry, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu
Introducing machine learning concepts using hands-on Android-based exercises. FIE (2019)
Emma Pedersen, Sunil Rao, Sameeksha Katoch, Kristen Jaskie, Andreas Spanias, Cihan Tepedelenlioglu, Elias Kyriakides
PV Array Fault Detection using Radial Basis Networks. IISA (2019)
Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan
Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. ICPS (2019)
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias
Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC (2019)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Designing an Effective Metric Learning Pipeline for Speaker Diarization. ICASSP (2019)
Juan Andrade, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie
Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. IISA (2019)
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 5 (4) (2019)
Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju
Location estimation and detection in wireless sensor networks in the presence of fading. Phys. Commun. 32 (2019)
Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets. CoRR (2019)
Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias
Global Optimization of Graph Filters with Multiple Shift Matrices. ACSSC (2019)
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. CoRR (2019)
Victor Solo, Maria Sabrina Greco, Danilo P. Mandic, Petar M. Djuric, Andreas Spanias, Mónica F. Bugallo
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36 (5) (2019)
Kristen Jaskie, Charles Elkan, Andreas Spanias
A Modified Logistic Regression for Positive and Unlabeled Learning. ACSSC (2019)
Kristen Jaskie, Andreas Spanias
Positive And Unlabeled Learning Algorithms And Applications: A Survey. IISA (2019)
Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu
Solar Array Fault Detection using Neural Networks. ICPS (2019)
Chao Wang, Abhinav Dixit, Andreas Spanias, Sunil Rao
Introducing Machine Learning in a Sophomore Signals and Systems Course. FIE (2019)
Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR (2019)
Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias
An REU Experience in Machine Learning and Computational Cameras. FIE (2019)
Juan Andrade, Pavan K. Turaga, Andreas Spanias
Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP (2019)
Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias
Introducing Machine Learning in Undergraduate DSP Classes. ICASSP (2019)
Jaime Zuniga-Mejia, Rafaela Villalpando Hernandez, César Vargas Rosales, Andreas Spanias
A Linear Systems Perspective on Intrusion Detection for Routing in Reconfigurable Wireless Networks. IEEE Access 7 (2019)
Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti, Andreas Spanias
Articulation constrained learning with application to speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2019 (2019)
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Attention Models with Random Features for Multi-layered Graph Embeddings. CoRR (2018)
Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias
Improving Robustness of Attention Models on Graphs. CoRR (2018)
Abhinav Dixit, Uday Shankar Shanthamallu, Andreas Spanias, Visar Berisha, Mahesh K. Banavar
Online Machine Learning Experiments in HTML5. FIE (2018)
Farib Khondoker, Trevor Thornton, Andreas Spanias, Uday Shankar Shanthamallu
Optimizing Activity Detection via Sensor Fusion. IISA (2018)
Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju
Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading. CoRR (2018)
Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias
Consensus-based Distributed Quantile Estimation in Sensor Networks. CoRR (2018)
Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias
Designing an Effective Metric Learning Pipeline for Speaker Diarization. CoRR (2018)
Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Sai Zhang, Mahesh K. Banavar
Max Consensus in the Presence of Additive Noise. ACSSC (2018)
Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias
Triplet Network with Attention for Speaker Diarization. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andreas Spanias