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ORCIDAndreas Spanias
Andreas S. Spanias
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- affiliation: Arizona State University, Tempe, Arizona, USA
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2020 – today
- 2024
[c228]Deep Pujara, David Ramirez
, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias:
Real-time PV Fault Detection using Embedded Machine Learning. ICPS 2024: 1-5- [c227]Leslie Miller, Glen S. Uehara, Andreas Spanias:
Image Fusion and Quantum Machine Learning for Remote Sensing Applications. IISA 2024: 1-8 - [c226]David Ramirez, Deep Pujara, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias:
Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection. IISA 2024: 1-4 - [c225]Salil Naik, Glen S. Uehara, Kristen Jaskie, Leslie Miller, Andreas Spanias:
Quantum Positive Unlabeled Learning Algorithms with Applications to Energy. MLSP 2024: 1-6 - 2023
- [j70]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: 7461-7470 (2023) - [j69]Sameeksha Katoch, Odrika Iqbal, Andreas Spanias, Suren Jayasuriya:
Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning. IEEE Access 11: 41995-42011 (2023) - [j68]Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Isaac Torres Muro, Robert LiKamWa, Andreas Spanias:
Software-Defined Imaging: A Survey. Proc. IEEE 111(5): 445-464 (2023) - [c224]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: 965-969 - [c223]Aradhita Sharma, Glen S. Uehara, Andreas Spanias:
Quantum Linear Prediction for System Identification and Spectral Estimation Applications. ACSSC 2023: 1151-1155 - [c222]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: 1-5 - [c221]Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias:
Signal Analysis-Synthesis Using the Quantum Fourier Transform. ICASSP 2023: 1-5 - [c220]Leslie Miller, Glen S. Uehara, Aradhita Sharma, Andreas Spanias:
Quantum Machine Learning for Optical and SAR Classification. DSP 2023: 1-5 - [c219]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: 1895-1899 - [c218]Sunil Rao, Deep Pujara, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan:
Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks. ICPS 2023: 1-5 - [c217]Deep Pujara, David Ramirez, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias:
Design of a New Photovoltaic Intelligent Monitoring and Control Device. IISA 2023: 1-4 - [c216]Mohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias:
Class GP: Gaussian Process Modeling for Heterogeneous Functions. LION 2023: 408-423 - [c215]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: 190-211 - [c214]Maxwell Yarter, Glen S. Uehara, Andreas Spanias:
Investigating a Quantum Cloud Paradigm with Quantum Neural Networks. MWSCAS 2023: 900-903 - [i38]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 abs/2308.00491 (2023) - 2022
- [j67]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: 90507-90522 (2022) - [j66]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): 1-17 (2022) - [j65]Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Graph-Based Classification With Multiple Shift Matrices. IEEE Trans. Signal Inf. Process. over Networks 8: 160-172 (2022) - [c213]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: 1-5 - [c212]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: 4393-4397 - [c211]Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan:
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML 2022: 20625-20639 - [c210]Monalisa Achalla, Gowtham Muniraju, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers:
Distributed Consensus based COVID-19 Hotspot Density Estimation. IISA 2022: 1-4 - [c209]Michael Esposito, Glen S. Uehara, Andreas Spanias:
Quantum Machine Learning for Audio Classification with Applications to Healthcare. IISA 2022: 1-4 - [c208]Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Gregory B. Raupp, Nadia N. 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: 1-6 - [c207]Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias:
Quantum Machine Learning for Photovoltaic Topology Optimization. IISA 2022: 1-5 - [c206]Maxwell Yarter, Glen S. Uehara, Andreas Spanias:
Implementation and Analysis of Quantum Homomorphic Encryption. IISA 2022: 1-5 - [i37]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 abs/2207.05286 (2022) - [i36]David Ramirez, Suren Jayasuriya, Andreas Spanias:
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques. CoRR abs/2211.11836 (2022) - 2021
- [b12]Uday Shankar Shanthamallu, Andreas Spanias:
Machine and Deep Learning Algorithms and Applications. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2021, ISBN 978-3-031-03748-1, pp. 1-123 - [j64]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: 120034-120042 (2021) - [j63]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): 655-665 (2021) - [j62]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): 1241-1253 (2021) - [c205]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI 2021: 7891-7898 - [c204]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. AAAI 2021: 9524-9532 - [c203]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Edge Counting for Wireless Sensor Networks. ACSCC 2021: 767-771 - [c202]Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias:
COVID-19 Detection using Audio Spectral Features and Machine Learning. ACSCC 2021: 1146-1150 - [c201]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: 1-5 - [c200]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: 1-4 - [c199]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. ICASSP 2021: 2770-2774 - [c198]Mohit Malu, Gautam Dasarathy, Andreas Spanias:
Bayesian Optimization in High-Dimensional Spaces: A Brief Survey. IISA 2021: 1-8 - [c197]Joshua Martin, Kristen Jaskie, Yiannis Tofis, Andreas Spanias:
PV Array Soiling Detection using Machine Learning. IISA 2021: 1-4 - [c196]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: 1-5 - [c195]Glen S. Uehara, Sunil Rao, Mathew Dobson, Cihan Tepedelenlioglu, Andreas Spanias:
Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection. IISA 2021: 1-7 - [c194]Glen S. Uehara, Andreas Spanias, William Clark:
Quantum Information Processing Algorithms with Emphasis on Machine Learning. IISA 2021: 1-11 - [c193]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. Interspeech 2021: 2167-2171 - [c192]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. NeurIPS 2021: 16873-16884 - [i35]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias:
Loss Estimators Improve Model Generalization. CoRR abs/2103.03788 (2021) - [i34]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. CoRR abs/2104.07161 (2021) - [i33]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. CoRR abs/2109.14274 (2021) - [i32]Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya:
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation. CoRR abs/2112.09775 (2021) - [i31]Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Improving Multi-Domain Generalization through Domain Re-labeling. CoRR abs/2112.09802 (2021) - 2020
- [b11]Sunil Rao, Sameeksha Katoch, Vivek Sivaraman Narayanaswamy, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Pavan K. Turaga, Raja Ayyanar, Devarajan Srinivasan:
Machine Learning for Solar Array Monitoring, Optimization, and Control. Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01377-5 - [j61]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus Based Distributed Spectral Radius Estimation. IEEE Signal Process. Lett. 27: 1045-1049 (2020) - [j60]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): 3977-3988 (2020) - [c191]Jayden Booth, Ahmed Ewaisha, Andreas Spanias, Ahmed Alkhateeb:
Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype. ACSSC 2020: 267-271 - [c190]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
A Regularized Attention Mechanism for Graph Attention Networks. ICASSP 2020: 3372-3376 - [c189]Odrika Iqbal, Saquib Siddiqui, Joshua Martin, Sameeksha Katoch, Andreas Spanias, Daniel W. Bliss, Suren Jayasuriya:
Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking. ICIP 2020: 3065-3069 - [c188]Jie Fan, Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Fault Classification in Photovoltaic Arrays Using Graph Signal Processing. ICPS 2020: 315-319 - [c187]Dominique Smith, Kristen Jaskie, John J. Cadigan, Joseph W. Marvin, Andreas Spanias:
Machine Learning For Fast Short-Term Energy Load Forecasting. ICPS 2020: 433-436 - [c186]Kristen Jaskie, Joshua Martin, Sunil Rao, Wendy Barnard, Photini Spanias, Elias Kyriakides, Yiannis Tofis, Lenos Hadjidemetriou, Maria K. Michael, Theocharis Theocharides, Stella K. Hadjistassou, Andreas Spanias:
IRES Program in Sensors and Machine Learning for Energy Systems. IISA 2020: 1-5 - [c185]Kristen Jaskie, Dominique Smith, Andreas Spanias:
Deep Learning Networks for Vectorized Energy Load Forecasting. IISA 2020: 1-7 - [c184]Andreas Spanias:
Machine Learning Workforce Development Programs on Health and COVID-19 Research. IISA 2020: 1-4 - [c183]Joshua Vandermeer, Frank Giuliani, Erica Low, Katherine Thomasson, Andreas Spanias:
Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller. IISA 2020: 1-5 - [c182]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation Using Generative Priors. INTERSPEECH 2020: 2657-2661 - [i30]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation using Generative Priors. CoRR abs/2005.13769 (2020) - [i29]Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR abs/2009.14454 (2020) - [i28]Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. CoRR abs/2009.14455 (2020) - [i27]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. CoRR abs/2010.12046 (2020)
2010 – 2019
- 2019
- [b10]Henry Braun, Pavan K. Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu:
Reconstruction-Free Compressive Vision for Surveillance Applications. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01413-0 - [j59]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: 60486-60500 (2019) - [j58]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: 14 (2019) - [j57]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: 62-74 (2019) - [j56]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): 135-147 (2019) - [j55]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): 779-791 (2019) - [c181]Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC 2019: 103-107 - [c180]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Spectral Radius Estimation in Wireless Sensor Networks. ACSSC 2019: 1506-1510 - [c179]Kristen Jaskie, Charles Elkan, Andreas Spanias:
A Modified Logistic Regression for Positive and Unlabeled Learning. ACSSC 2019: 2007-2011 - [c178]Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Global Optimization of Graph Filters with Multiple Shift Matrices. ACSSC 2019: 2082-2086 - [c177]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: 1-5 - [c176]Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
An REU Experience in Machine Learning and Computational Cameras. FIE 2019: 1-5 - [c175]Chao Wang, Abhinav Dixit, Andreas Spanias, Sunil Rao:
Introducing Machine Learning in a Sophomore Signals and Systems Course. FIE 2019: 1-4 - [c174]Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Graph Filtering with Multiple Shift Matrices. ICASSP 2019: 3557-3561 - [c173]Raksha Ramakrishna, Anna Scaglione, Andreas Spanias, Cihan Tepedelenlioglu:
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. ICASSP 2019: 4440-4444 - [c172]Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. ICASSP 2019: 5806-5810 - [c171]Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias:
Introducing Machine Learning in Undergraduate DSP Classes. ICASSP 2019: 7655-7659 - [c170]Juan Andrade, Pavan K. Turaga, Andreas Spanias:
Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP 2019: 4020-4024 - [c169]Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan:
Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. ICPS 2019: 167-172 - [c168]Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Solar Array Fault Detection using Neural Networks. ICPS 2019: 196-200 - [c167]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: 1-7 - [c166]Kristen Jaskie, Andreas Spanias:
Positive And Unlabeled Learning Algorithms And Applications: A Survey. IISA 2019: 1-8 - [c165]Emma Pedersen, Sunil Rao, Sameeksha Katoch, Kristen Jaskie, Andreas Spanias, Cihan Tepedelenlioglu, Elias Kyriakides:
PV Array Fault Detection using Radial Basis Networks. IISA 2019: 1-4 - [i26]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 abs/1904.04161 (2019) - [i25]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. CoRR abs/1904.09377 (2019) - [i24]Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR abs/1911.10600 (2019) - 2018
- [b9]Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh K. Banavar:
Distributed Network Structure Estimation Using Consensus Methods. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00556-5 - [j54]Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Optimizing Kernel Machines Using Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5528-5540 (2018) - [j53]Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
Direct Estimation of Density Functionals Using a Polynomial Basis. IEEE Trans. Signal Process. 66(3): 558-572 (2018) - [c164]Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. AAAI 2018: 4091-4098 - [c163]Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Sai Zhang, Mahesh K. Banavar:
Max Consensus in the Presence of Additive Noise. ACSSC 2018: 1408-1412 - [c162]Abhinav Dixit, Uday Shankar Shanthamallu, Andreas Spanias, Visar Berisha, Mahesh K. Banavar:
Online Machine Learning Experiments in HTML5. FIE 2018: 1-5 - [c161]Andreas Spanias, Jennifer Blain Christen:
A Stem Reu Site on the Integrated Design of Sensor Devices and Signal Processing Algorithms. ICASSP 2018: 6991-6995 - [c160]Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Fast Non-Linear Methods for Dynamic Texture Prediction. ICIP 2018: 2107-2111 - [c159]Sameeksha Katoch, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, Mahesh K. Banavar, Devarajan Srinivasan:
Shading prediction, fault detection, and consensus estimation for solar array control. ICPS 2018: 217-222 - [c158]Farib Khondoker, Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Photovoltaic Array Simulation and Fault Prediction via Multilayer Perceptron Models. IISA 2018: 1-5 - [c157]Farib Khondoker, Trevor Thornton, Andreas Spanias, Uday Shankar Shanthamallu:
Optimizing Activity Detection via Sensor Fusion. IISA 2018: 1-5 - [c156]Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. INTERSPEECH 2018: 3608-3612 - [i23]Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus-based Distributed Quantile Estimation in Sensor Networks. CoRR abs/1805.00154 (2018) - [i22]Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. CoRR abs/1808.01535 (2018) - [i21]