Andreas Spanias

Andreas Spanias

Arizona State University

H-index: 47

North America-United States

About Andreas Spanias

Andreas Spanias, With an exceptional h-index of 47 and a recent h-index of 30 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Signal Processing, Speech & Audio Algorithms, Machine Learning (ML), Quantum ML, Engineering.Education.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and methods for a deep neural network with combined cross-entropy and focal loss for covid-19 detection in audio samples

An adaptive asymmetric loss function for positive unlabeled learning

Introducing Quantum Computing in a Sophomore Signals and Systems Course

Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks

Quantum Machine Learning for Optical and SAR Classification

Systems and methods for optimizing solar power using array topology reconfiguration through a regularized deep neural network

Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks

Investigating a Quantum Cloud Paradigm with Quantum Neural Networks

Andreas Spanias Information

University

Position

___

Citations(all)

12922

Citations(since 2020)

4561

Cited By

9842

hIndex(all)

47

hIndex(since 2020)

30

i10Index(all)

239

i10Index(since 2020)

110

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Andreas Spanias Skills & Research Interests

Signal Processing

Speech & Audio Algorithms

Machine Learning (ML)

Quantum ML

Engineering.Education

Top articles of Andreas Spanias

Title

Journal

Author(s)

Publication Date

Systems and methods for a deep neural network with combined cross-entropy and focal loss for covid-19 detection in audio samples

2023/3/2

An adaptive asymmetric loss function for positive unlabeled learning

Kristen Jaskie

Nolan Vaughn

Vivek Narayanaswamy

Sahba Zaare

Joseph Marvin

...

2023/6/13

Introducing Quantum Computing in a Sophomore Signals and Systems Course

Chao Wang

Aradhita Sharma

Glen Uehara

Leslie Miller

Deep Pujara

...

2023/10/18

Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks

IEEE Access

Vivek Narayanaswamy

Raja Ayyanar

Cihan Tepedelenlioglu

Devarajan Srinivasan

Andreas Spanias

2023/1/20

Quantum Machine Learning for Optical and SAR Classification

Leslie Miller

Glen Uehara

Aradhita Sharma

Andreas Spanias

2023/6/11

Systems and methods for optimizing solar power using array topology reconfiguration through a regularized deep neural network

2023/9/14

Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks

Sunil Rao

Deep Pujara

Andreas Spanias

Cihan Tepedelenlioglu

Devarajan Srinivasan

2023/5/8

Investigating a Quantum Cloud Paradigm with Quantum Neural Networks

Maxwell Yarter

Glen Uehara

Andreas Spanias

2023/8/6

Software-Defined Imaging: A Survey

Proceedings of the IEEE

Suren Jayasuriya

Odrika Iqbal

Venkatesh Kodukula

Victor Torres

Robert LiKamWa

...

2023/4/27

An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images

arXiv preprint arXiv:2308.00491

Grace Billingsley

Julia Dietlmeier

Vivek Narayanaswamy

Andreas Spanias

Noel E OConnor

2023/8/1

Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning

IEEE Access

Sameeksha Katoch

Odrika Iqbal

Andreas Spanias

Suren Jayasuriya

2023/4/26

Design of a New Photovoltaic Intelligent Monitoring and Control Device

Deep Pujara

David Ramirez

Cihan Tepedelenlioglu

Devarajan Srinivasan

Andreas Spanias

2023/7/10

Positive unlabeled learning

Kristen Jaskie

Andreas Spanias

2022/4/20

Quantum machine learning for photovoltaic topology optimization

Glen S Uehara

Vivek Narayanaswamy

Cihan Tepedelenlioglu

Andreas Spanias

2022/7/18

Graph-Based Classification with Multiple Shift Matrices

IEEE Transactions on Signal and Information Processing over Networks

Jie Fan

Cihan Tepedelenlioglu

Andreas Spanias

2022/1/13

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

arXiv preprint arXiv:2207.05286

Vivek Narayanaswamy

Yamen Mubarka

Rushil Anirudh

Deepta Rajan

Andreas Spanias

...

2022/7/12

Systems and methods for skyline prediction for cyber-physical photovoltaic array control

2023/7/4

Systems and methods for unsupervised audio source separation using generative priors

2022/6/30

Undergraduate research and education in quantum machine learning

Glen Uehara

Jean Larson

Wendy Barnard

Michael Esposito

Filippo Posta

...

2022/10/8

Neural Networks and Deep Learning

Artificial Intelligence in Surgery

Deepak Alapatt

Pietro Mascagni

Vinkle Srivastav

Nicolas Padoy

2020

See List of Professors in Andreas Spanias University(Arizona State University)

Co-Authors

H-index: 54
Constantine A. Balanis

Constantine A. Balanis

Arizona State University

H-index: 38
Pavan Turaga

Pavan Turaga

Arizona State University

H-index: 37
Cihan Tepedelenlioglu

Cihan Tepedelenlioglu

Arizona State University

H-index: 35
Tsakalis, K.

Tsakalis, K.

Arizona State University

H-index: 30
Visar Berisha

Visar Berisha

Arizona State University

H-index: 13
Sunil Rao

Sunil Rao

Arizona State University

academic-engine