A two stage approach for adaptive prediction of ARMA processes. - Wasfy B. Mikhael; Andreas S. Spanias; Frank H. Wu (ICASSP, 1985)

A fast frequency-domain adaptive algorithm. - Wasfy B. Mikhael; Andreas S. Spanias (Proc. IEEE, 1988)

Real-time implementation of a frequency-domain adaptive filter on a fixed-point signal processor. - Michael E. Deisher; Andreas S. Spanias (ICASSP, 1991)

Vector quantization of transform components for speech coding at 1200 bps. - Philipos C. Loizou; Andreas S. Spanias (ICASSP, 1991)

A hybrid transform method for analysis/synthesis of speech. - Andreas S. Spanias (Signal Process., 1991)

Transform methods for seismic data compression. - Andreas S. Spanias; Stefan B. Jonsson; Samuel D. Stearns (IEEE Trans. Geosci. Remote. Sens., 1991)

Block time and frequency domain modified covariance algorithms. - Andreas Spanias; Gim Lim; Philipos C. Loizou; Michael E. Deisher (ICASSP, 1992)

Speech enhancement using the bispectrum. - Ralph Fulchiero; Andreas S. Spanias (ICASSP (4), 1993)

Speech processing using higher order statistics. - Ines Jebali Gdoura; Philipos C. Loizou; Andreas Spanias (ISCAS, 1993)

Block time and frequency domain modified covariance algorithms for spectral analysis. - Andreas S. Spanias (IEEE Trans. Signal Process., 1993)

High Sample Rate Architectures for Block Adaptive Filters. - Srikanth Karkada; Chaitali Chakrabarti; Andreas Spanias (ISCAS, 1994)

Context-Dependent Modeling in Alphabet Recognition. - Philipos C. Loizou; Andreas Spanias (ISCAS, 1994)

Speech coding: a tutorial review. - Andreas S. Spanias (Proc. IEEE, 1994)

System identification based on bounded error constraints. - Kostas Tsakalis; Michael E. Deisher; Andreas Spanias (IEEE Trans. Signal Process., 1995)

A MATLAB software tool for the introduction of speech coding fundamentals in a DSP course. - Edward M. Painter; Andreas Spanias (ICASSP, 1996)

High-performance alphabet recognition. - Philipos C. Loizou; Andreas S. Spanias (IEEE Trans. Speech Audio Process., 1996)

A new sinusoidal phase modeling algorithm. - Sassan Ahmadi; Andreas S. Spanias (ICASSP, 1997)

HMM-based speech enhancement using harmonic modeling. - Michael E. Deisher; Andreas S. Spanias (ICASSP, 1997)

A Java signal analysis tool for signal processing experiments. - Axel Clausen; Andreas Spanias; Anand Xavier; Maya Tampi (ICASSP, 1998)

A new phase model for sinusoidal transform coding of speech. - Sassan Ahmadi; Andreas S. Spanias (IEEE Trans. Speech Audio Process., 1998)

An interactive tool for bit error rate analysis of speech coding algorithms. - Hiren C. Bhagatwala; Edward M. Painter; Andreas S. Spanias (ICASSP, 1999)

Cepstrum-based pitch detection using a new statistical V/UV classification algorithm. - Sassan Ahmadi; Andreas S. Spanias (IEEE Trans. Speech Audio Process., 1999)

Improved speech recognition using a subspace projection approach. - Philipos C. Loizou; Andreas S. Spanias (IEEE Trans. Speech Audio Process., 1999)

Development and evaluation of a Web-based signal and speech processing laboratory for distance learning. - Andreas Spanias; Susan Urban; Argyris Constantinou; Maya Tampi; Axel Clausen; Xiaopeng Zhang 002; Jeffrey A. Foutz; Georgios Stylianou (ICASSP, 2000)

Minimum-variance phase prediction and frame interpolation algorithms for low bit rate sinusoidal speech coding. - Sassan Ahmadi; Andreas S. Spanias (ISCAS, 2000)

Perceptual coding of digital audio. - Ted Painter; Andreas Spanias (Proc. IEEE, 2000)

An improved approach to robust speech recognition using minimum error classification. - Min-Tau Lin; Andreas Spanias; Philipos C. Loizou (Speech Commun., 2000)

Perceptual segmentation and component selection in compact sinusoidal representations of audio. - Ted Painter; Andreas Spanias (ICASSP, 2001)

Development of new functions and scripting capabilities in JavaA-DSP for easy creation and seamless integration of animated DSP simulations in Web courses. - Andreas Spanias; Fikre Bizuneh (ICASSP, 2001)

Perceptual component selection in sinusoidal coding of audio. - Ted Painter; Andreas Spanias (MMSP, 2001)

Low bit-rate speech coding based on an improved sinusoidal model. - Sassan Ahmadi; Andreas S. Spanias (Speech Commun., 2001)

Partial band interference excision for GPS using frequency-domain exponents. - Brad Badke; Andreas S. Spanias (ICASSP, 2002)

A simulation tool for introducing MPEG - audio (MP3) concepts in a DSP course. - Ram Rangachar; Andreas S. Spanias (ICASSP, 2002)

Adaptive antenna systems for mobile ad-hoc networks. - Salvatore Bellofiore; Jeffrey A. Foutz; R. Govindarajula; Israfil Bahceci; Constantine A. Balanis; Andreas S. Spanias; Jeffrey M. Capone; Tolga M. Duman (ISCAS (1), 2002)

Adaptive modified covariance algorithms for spectral analysis. - Kyriakos Kitsios; Andreas Spanias; Bruno D. Welfert (Signal Process., 2002)

On-line laboratories for image and two-dimensional signal processing using 2D J-DSP. - Muhammad Yasin; Lina J. Karam; Andreas Spanias (ICASSP (3), 2003)

Parametric Autoregressive Modeling of DNA Sequences. - Niranjan Chakravarthy; Andreas Spanias; Leonidas D. Iasemidis; Kostas Tsakalis (Modelling, Identification and Control, 2003)

J-DSP-Control: A Control Systems Simulation Environment. - Thrassos Thrasyvoulou; Kostas Tsakalis; Andreas Spanias (Modelling, Identification and Control, 2003)

Improved Measure of Information Flow in Coupled Nonlinear Systems. - Shivkumar Sabesan; K. Narayanan; Awadhesh Prasad; Andreas Spanias; Leonidas D. Iasemidis (Modelling and Simulation, 2003)

On the Use of Directed Transfer Function for Nonlinear Systems. - Balaji Veeramani; K. Narayanan; Awadhesh Prasad; Andreas Spanias; Leonidas D. Iasemidis (Modelling and Simulation, 2003)

Nonlinear Noise Reduction and Predictability of Epileptic Seizures. - Rajeshkumar Venugopal; Awadhesh Prasad; K. Narayanan; Andreas Spanias; Leonidas D. Iasemidis (Modelling and Simulation, 2003)

Sinusoidal Analysis-Synthesis of Audio Using Perceptual Criteria. - Ted Painter; Andreas Spanias (EURASIP J. Adv. Signal Process., 2003)

Fast adaptive algorithms using eigenspace projections. - N. Gopalan Nair; Andreas Spanias (Signal Process., 2003)

On the performance of optimal training-based OFDM with channel estimation error. - Khawza I. Ahmed; Cihan Tepedelenlioglu; Andreas Spanias (GLOBECOM, 2004)

Effect of channel estimation on pair-wise error probability in OFDM. - Khawza I. Ahmed; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP (4), 2004)

Web-based experiments for introducing speech recognition basics in a DSP course. - Venkatraman Atti; Andreas Spanias (ICASSP (5), 2004)

Channel equalization using the G-Probe. - Constantinos Panayiotou; Andreas Spanias; Kostas Tsakalis (ISCAS (3), 2004)

Autoregressive Modeling and Feature Analysis of DNA Sequences. - Niranjan Chakravarthy; Andreas Spanias; Leonidas D. Iasemidis; Kostas Tsakalis (EURASIP J. Adv. Signal Process., 2004)

On-line signal processing using J-DSP. - Andreas Spanias; Venkatraman Atti; Antonia Papandreou-Suppappola; Khawza I. Ahmed; Moushumi Zaman; Thrassos Thrasyvoulou (IEEE Signal Process. Lett., 2004)

Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space. - Balaji Veeramani; K. Narayanan; Awadhesh Prasad; Leonidas D. Iasemidis; Andreas S. Spanias; Kostas Tsakalis (IEEE Signal Process. Lett., 2004)

Embedding Perceptual Metrics in Rate Control Algorithms. - Venkatraman Atti; Andreas Spanias (ISIC, 2005)

A Unified Bayesian Decision Theory Perspective to Sensor Networks. - Amit S. Chhetri; Darryl Morrell; Antonia Papandreou-Suppappola; Chaitali Chakrabarti; Andreas Spanias; Jun Jason Zhang (ISIC, 2005)

PEP-based optimal training for MIMO systems in wireless channels. - Khawza I. Ahmed; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP (3), 2005)

Speech Analysis by Estimating Perceptually Relevant Pole Locations. - Venkatraman Atti; Andreas Spanias (ICASSP (1), 2005)

Interactive Java modules for the MPEG-1 psychoacoustic model [audio coding teaching applications]. - Yu Song; Andreas Spanias; Venkatraman Atti; Visar Berisha (ICASSP (5), 2005)

Enhancing vocoder performance for music signals. - Visar Berisha; Andreas Spanias (ISCAS (4), 2005)

Rate determination based on perceptual loudness. - Andreas Spanias; Venkatraman Atti (ISCAS (2), 2005)

Enhancing the Quality of Coded Audio Using Perceptual Criteria. - Visar Berisha; Andreas S. Spanias (MMSP, 2005)

Perceptual segmentation and component selection for sinusoidal representations of audio. - Ted Painter; Andreas Spanias (IEEE Trans. Speech Audio Process., 2005)

Interactive online undergraduate laboratories using J-DSP. - Andreas Spanias; Venkatraman Atti (IEEE Trans. Educ., 2005)

Real-Time Collaborative Monitoring in Wireless Sensor Networks. - Visar Berisha; Homin Kwon; Andreas Spanias (ICASSP (3), 2006)

Equalization of a Time-Varying Channel in the Presence of Doppler Rate. - Ghassan Maalouli; Andreas Spanias (ICASSP (3), 2006)

Optimal Training and Performance Analysis of Space-Time-Frequency Coded OFDM. - Khawza I. Ahmed; Cihan Tepedelenlioglu; Andreas Spanias (ICC, 2006)

Real-time acoustic monitoring using wireless sensor motes. - Visar Berisha; Homin Kwon; Andreas Spanias (ISCAS, 2006)

A transform-domain G-PrOBE algorithm. - A. Natarajan; Venkatraman Atti; Andreas Spanias; Kostas Tsakalis; Leonidas D. Iasemidis (ISCAS, 2006)

Bandwidth Extension of Audio Based on Partial Loudness Criteria. - Visar Berisha; Andreas Spanias (MMSP, 2006)

Adaptive Beamforming and Particle Filtering. - Seth Benton; Andreas Spanias; Kai Tu; Harvey D. Thornburg; Gang Qian; Thanassis Rikakis (SPPRA, 2006)

Teach-Ware: DSP education resources. - Andreas Spanias; James H. McClellan; Alen Docef (IEEE Signal Process. Mag., 2006)

Performance of precoded OFDM with channel estimation error. - Khawza I. Ahmed; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Process., 2006)

Robust Multi-Features Segmentation and Indexing for Natural Sound Environments. - Gordon Wichern; Harvey D. Thornburg; Brandon Mechtley; Alex Fink; Kai Tu; Andreas Spanias (CBMI, 2007)

A feedback systems approach to modeling neural firing-rate homeostasis. - Niranjan Chakravarthy; Shivkumar Sabesan; Andreas Spanias; Leonidas D. Iasemidis; Kostas Tsakalis (CDC, 2007)

A Scalable Bandwidth Extension Algorithm. - Visar Berisha; Andreas Spanias (ICASSP (4), 2007)

Sparse Manifold Learning with Applications to SAR Image Classification. - Visar Berisha; Nitesh Shah; Donald E. Waagen; Harry Schmitt; Salvatore Bellofiore; Andreas Spanias; Douglas Cochran (ICASSP (3), 2007)

Analysis of the Matrix Processing (MxP) Architecture. - Lakshmi Girija; Andreas S. Spanias (ICASSP (2), 2007)

Tracking the Path Shape Qualities of Human Motion. - Kai Tu; Harvey D. Thornburg; Matthew Fulmer; Andreas Spanias (ICASSP (2), 2007)

Analysis and Mitigation of Doppler Rate Effect in a Multipath Channel. - Ghassan Maalouli; Andreas Spanias (ICC, 2007)

An Adaptive Low Rank Algorithm for Semispherical Antenna Arrays. - Jeffrey A. Foutz; Andreas S. Spanias (ISCAS, 2007)

Interaction and reflection via 3D path shape qualities in a mediated constructive learning environment. - Kai Tu; Harvey D. Thornburg; Ellen Campana; David Birchfield; Matthew Fulmer; Andreas Spanias (ACM Multimedia EMME Workshop, 2007)

Dual-Mode Wideband Speech Compression. - Visar Berisha; Andreas Spanias (MMSP, 2007)

Wideband Speech Recovery Using Psychoacoustic Criteria. - Visar Berisha; Andreas Spanias (EURASIP J. Audio Speech Music. Process., 2007)

Ultrasound imaging media layer texture analysis of the carotid artery. - Philipos C. Loizou; Marios Pantziaris; Andrew Nicolaides; Andreas Spanias; Marios S. Pattichis; Constantinos S. Pattichis (BIBE, 2008)

Performance of distributed estimation over multiple access fading channels with partial feedback. - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP, 2008)

A low-complexity loudness estimation algorithm. - Harish Krishnamoorthi; Visar Berisha; Andreas Spanias (ICASSP, 2008)

Fast query by example of environmental sounds via robust and efficient cluster-based indexing. - Jiachen Xue; Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2008)

Real-time sensing and acoustic scene characterization for security applications. - Homin Kwon; Visar Berisha; Andreas Spanias (ISWPC, 2008)

Sparse Representations for Pattern Classification using Learned Dictionaries. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (SGAI Conf., 2008)

Gradient projection-based channel equalization under sustained fading. - Venkatraman Atti; Andreas Spanias; Kostas Tsakalis; Constantinos Panayiotou; Leonidas D. Iasemidis; Visar Berisha (Signal Process., 2008)

Narrowband Direction of Arrival Estimation for Antenna Arrays - Jeffrey A. Foutz; Andreas Spanias; Mahesh K. Banavar (Morgan & Claypool Publishers, 2008)

Acquiring and Classifying Signals from Nanopores and Ion-Channels. - Bharatan Konnanath; Prasanna Sattigeri; Trupthi Mathew; Andreas Spanias; Shalini Prasad; Michael Goryll; Trevor Thornton; Peter Knee (ICANN (2), 2009)

Nonlinear acoustic echo control using an accelerometer. - Tushar Gupta; Seth B. Suppappola; Andreas Spanias (ICASSP, 2009)

Low-complexity sinusoidal component selection using loudness patterns. - Harish Krishnamoorthi; Visar Berisha; Andreas Spanias; Homin Kwon (ICASSP, 2009)

Energy-constrained discriminant analysis. - Scott Philips; Visar Berisha; Andreas Spanias (ICASSP, 2009)

Multi-channel audio segmentation for continuous observation and archival of large spaces. - Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2009)

A real-time monitoring system for diesel and gasoline exhaust exposure. - Bharatan Konnanath; Hyuntae Kim; Andreas Spanias; Bertan Bakkaloglu; Joseph Wang; Ashok Mulchandani; Nosang Myung (DPS, 2009)

Continuous observation and archival of acoustic scenes using wireless sensor networks. - Gordon Wichern; Homin Kwon; Andreas Spanias; Alex Fink; Harvey D. Thornburg (DPS, 2009)

Fast image registration with non-stationary Gauss-Markov random field templates. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (ICIP, 2009)

A Sensor Network for Real-time Acoustic Scene Analysis. - Homin Kwon; Harish Krishnamoorthi; Visar Berisha; Andreas Spanias (ISCAS, 2009)

Template Learning using Wavelet Domain Statistical Models. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (SGAI Conf., 2009)

Unifying semantic and content-based approaches for retrieval of environmental sounds. - Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (WASPAA, 2009)

Perceptually-Motivated All-Pole Modeling. - Venkatraman Atti; Andreas Spanias (IEEE Signal Process. Lett., 2009)

A Frequency/Detector Pruning Approach for Loudness Estimation. - Harish Krishnamoorthi; Andreas Spanias; Visar Berisha (IEEE Signal Process. Lett., 2009)

Experiments With Sensor Motes and Java-DSP. - Homin Kwon; Visar Berisha; Venkatraman Atti; Andreas Spanias (IEEE Trans. Educ., 2009)

Distributed detection over fading macs with multiple antennas at the fusion center. - Mahesh K. Banavar; Anthony D. Smith; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP, 2010)

An individually tunable perfect reconstruction filterbank for banded waveguide synthesis. - Alex Fink; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2010)

Least-squares based feature extraction and sensor fusion for explosive detection. - Narayan Kovvali; Chad Prior; Karel Cizek; Michal Galik; Alvaro Diaz; Erica Forzani; Avi Cagan; Joseph Wang; Nongjian Tao; Douglas Cochran; Andreas Spanias; Ray Tsui (ICASSP, 2010)

An auditory-domain based speech enhancement algorithm. - Harish Krishnamoorthi; Andreas Spanias; Visar Berisha; Homin Kwon; Harvey D. Thornburg (ICASSP, 2010)

Combining semantic, social, and acoustic similarity for retrieval of environmental sounds. - Brandon Mechtley; Gordon Wichern; Harvey D. Thornburg; Andreas Spanias (ICASSP, 2010)

Time-frequency based biological sequence querying. - Lakshminarayan Ravichandran; Antonia Papandreou-Suppappola; Andreas Spanias; Zoé Lacroix; Christophe Legendre (ICASSP, 2010)

Automatic audio tagging using covariate shift adaptation. - Gordon Wichern; Makoto Yamada; Harvey D. Thornburg; Masashi Sugiyama; Andreas Spanias (ICASSP, 2010)

Dimensionality Reduction for Distance Based Video Clustering. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (AIAI, 2010)

Enhanced direction of arrival estimation via reassigned space-time-frequency methods. - Steven R. Miller; Andreas S. Spanias; Antonia Papandreou-Suppappola; Robert W. Santucci (ISCAS, 2010)

On Inequalities Relating the Characteristic Function and Fisher Information - Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (CoRR, 2010)

An Ontological Framework for Retrieving Environmental Sounds Using Semantics and Acoustic Content. - Gordon Wichern; Brandon Mechtley; Alex Fink; Harvey D. Thornburg; Andreas Spanias (EURASIP J. Audio Speech Music. Process., 2010)

Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds. - Gordon Wichern; Jiachen Xue; Harvey D. Thornburg; Brandon Mechtley; Andreas Spanias (IEEE Trans. Speech Audio Process., 2010)

Estimation over fading channels with limited feedback using distributed sensing. - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Process., 2010)

MATLAB Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016 - Karthikeyan Natesan Ramamurthy; Andreas Spanias (MATLAB Software for the Code Excited Linear Prediction Algorithm, 2010)

Estimation of signal subspace-constrained inputs to linear systems. - Alex Fink; Andreas Spanias (ACSCC, 2011)

Isolated word endpoint detection using time-frequency variance kernels. - Alexandros Kyriakides; Costas Pitris; Alex Fink; Andreas Spanias (ACSCC, 2011)

Isolated word endpoint detection using time-frequency variance kernels. - Alexandros Kyriakides; Costas Pitris; Andreas Spanias (ACSCC, 2011)

Optimized measurements for kernel compressive sensing. - Karthikeyan Natesan Ramamurthy; Andreas Spanias (ACSCC, 2011)

Learning dictionaries for local sparse coding in image classification. - Jayaraman J. Thiagarajan; Andreas Spanias (ACSCC, 2011)

Work in progress: The J-DSP/ESE software for analyzing Earth systems signals. - Linda Hinnov; Karthikeyan Natesan Ramamurthy; Andreas Spanias (FIE, 2011)

Work in progress - Interactive signal-processing labs and simulations on iOS devices. - Jinru Liu; Andreas Spanias; Mahesh K. Banavar; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Shuang Hu; Xue Zhang 002 (FIE, 2011)

Analyte detection using an ion-channel sensor array. - Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Michael Goryll; Andreas Spanias; Trevor Thornton (DSP, 2011)

Improved sparse coding using manifold projections. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (ICIP, 2011)

Constrained estimation of percussive sound excitations. - Alex Fink; Andreas Spanias (WASPAA, 2011)

Transform domain features for ion-channel signal classification. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Michael Goryll; Andreas Spanias; Trevor Thornton; Stephen M. Phillips (Biomed. Signal Process. Control., 2011)

Distributed SNR Estimation using Constant Modulus Signaling over Gaussian Multiple-Access Channels - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (CoRR, 2011)

Error probability-based optimal training for linearly decoded orthogonal space-time block coded wireless systems. - Khawza I. Ahmed; Cihan Tepedelenlioglu; Andreas Spanias; Mohammad N. Patwary; Hongnian Yu (IET Commun., 2011)

Optimality and stability of the K-hyperline clustering algorithm. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (Pattern Recognit. Lett., 2011)

On the Asymptotic Efficiency of Distributed Estimation Systems With Constant Modulus Signals Over Multiple-Access Channels. - Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (IEEE Trans. Inf. Theory, 2011)

Waveform Mapping and Time-Frequency Processing of DNA and Protein Sequences. - Lakshminarayan Ravichandran; Antonia Papandreou-Suppappola; Andreas Spanias; Zoé Lacroix; Christophe Legendre (IEEE Trans. Signal Process., 2011)

Analysis of the MPEG-1 Layer III (MP3) Algorithm Using MATLAB - Jayaraman J. Thiagarajan; Andreas Spanias (Morgan & Claypool Publishers, 2011)

Distributed average consensus using bounded transmissions. - Sivaraman Dasarathan; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (ACSCC, 2012)

Learning dictionaries with graph embedding constraints. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Andreas Spanias (ACSCC, 2012)

Automated tumor segmentation using kernel sparse representations. - Jayaraman J. Thiagarajan; Deepta Rajan; Karthikeyan Natesan Ramamurthy; David H. Frakes; Andreas Spanias (BIBE, 2012)

Signal processing for photovoltaic applications. - Santoshi T. Buddha; Henry Braun; Venkatachalam Krishnan; Cihan Tepedelenlioglu; Andreas Spanias; Ted Yeider; Toru Takehara (ESPA, 2012)

Implementation of a fast image coding and retrieval system using a GPU. - Prasanna Sattigeri; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ESPA, 2012)

Lifelogging: Archival and retrieval of continuously recorded audio using wearable devices. - Mohit Shah; Brian Mears; Chaitali Chakrabarti; Andreas Spanias (ESPA, 2012)

Sequential wireless sensor network discovery using wide aperture array signal processing. - Marc Willerton; Mahesh K. Banavar; Xue Zhang 002; Athanassios Manikas; Cihan Tepedelenlioglu; Andreas Spanias; Trevor Thornton; Eric M. Yeatman; Anthony G. Constantinides (EUSIPCO, 2012)

Workshop: Interactive education tools for earth systems and sustainability applications. - Linda Hinnov; Andreas Spanias; Karthikeyan Natesan Ramamurthy; Girish Kalyanasundaram (FIE, 2012)

Work in progress: Performing signal analysis laboratories using Android devices. - Suhas Ranganath; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Shuang Hu; Mahesh K. Banavar; Andreas Spanias (FIE, 2012)

Signal processing for fault detection in photovoltaic arrays. - Henry Braun; Santoshi T. Buddha; Venkatachalam Krishnan; Andreas Spanias; Cihan Tepedelenlioglu; Ted Yeider; Toru Takehara (ICASSP, 2012)

Interactive DSP laboratories on mobile phones and tablets. - Jinru Liu; Shuang Hu; Jayaraman J. Thiagarajan; Xue Zhang 002; Suhas Ranganath; Mahesh K. Banavar; Andreas Spanias (ICASSP, 2012)

Supervised local sparse coding of sub-image features for image retrieval. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Andreas Spanias (ICIP, 2012)

Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias; Panos Nasiopoulos (IIH-MSP, 2012)

Shortest Path Techniques for Annotation and Retrieval of Environmental Sounds. - Brandon Mechtley; Andreas Spanias; Perry Cook (ISMIR, 2012)

A top-down design methodology using virtual platforms for concept development. - Mohit Shah; Brian Mears; Chaitali Chakrabarti; Andreas Spanias (ISQED, 2012)

Search-Free Codebook Mapping for Artificial Bandwidth Extension. - Heewan Park; Byungsik Yoon; Sangwon Kang; Andreas Spanias (IEICE Trans. Commun., 2012)

Distributed SNR Estimation With Power Constrained Signaling Over Gaussian Multiple-Access Channels. - Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Process., 2012)

On the Effectiveness of Multiple Antennas in Distributed Detection over Fading MACs. - Mahesh K. Banavar; Anthony D. Smith; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Wirel. Commun., 2012)

Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization - Mahesh K. Banavar; Henry Braun; Santoshi T. Buddha; Venkatachalam Krishnan; Andreas Spanias; Shinichi Takada; Toru Takehara; Cihan Tepedelenlioglu; Ted Yeider (Morgan & Claypool Publishers, 2012)

Distributed location detection in wireless sensor networks. - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ACSSC, 2013)

Max-consensus using the soft maximum. - Sai Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ACSSC, 2013)

Health monitoring laboratories by interfacing physiological sensors to mobile android devices. - Deepta Rajan; Andreas Spanias; Suhas Ranganath; Mahesh K. Banavar; Photini Spanias (FIE, 2013)

Java tools for teaching OFDM principles in undergraduate courses. - Sai Zhang 002; Mahesh K. Banavar; Andreas Spanias; Cihan Tepedelenlioglu; Xue Zhang 002 (FIE, 2013)

A heterogeneous dictionary model for representation and recognition of human actions. - Rushil Anirudh; Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Pavan K. Turaga; Andreas Spanias (ICASSP, 2013)

Selecting disorder-specific features for speech pathology fingerprinting. - Visar Berisha; Steven Sandoval; Rene Utianski; Julie Liss; Andreas Spanias (ICASSP, 2013)

Optical flow for compressive sensing video reconstruction. - Henry Braun; Pavan K. Turaga; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP, 2013)

Sinusoidal component selection based on partial loudness criteria. - Harish Krishnamoorthi; Andreas Spanias (ICASSP, 2013)

Boosted dictionaries for image restoration based on sparse representations. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias; Prasanna Sattigeri (ICASSP, 2013)

A speech emotion recognition framework based on latent Dirichlet allocation: Algorithm and FPGA implementation. - Mohit Shah; Lifeng Miao; Chaitali Chakrabarti; Andreas Spanias (ICASSP, 2013)

CRLB for the localization error in the presence of fading. - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ICASSP, 2013)

Design of limiting amplifier models for nonlinear amplify-and-forward distributed estimation. - Robert W. Santucci; Mahesh K. Banavar; Andreas Spanias; Cihan Tepedelenlioglu (DSP, 2013)

Ensemble Sparse Models for Image Analysis - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Andreas Spanias (CoRR, 2013)

Learning Stable Multilevel Dictionaries for Sparse Representation of Images - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (CoRR, 2013)

Mixing matrix estimation using discriminative clustering for blind source separation. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (Digit. Signal Process., 2013)

Non-Linear Distributed Average Consensus Using Bounded Transmissions. - Sivaraman Dasarathan; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (IEEE Trans. Signal Process., 2013)

An Introduction to Kalman Filtering with MATLAB Examples - Narayan Kovvali; Mahesh K. Banavar; Andreas Spanias (Morgan & Claypool Publishers, 2013)

A scalable feature learning and tag prediction framework for natural environment sounds. - Prasanna Sattigeri; Jayaraman J. Thiagarajan; Mohit Shah; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ACSSC, 2014)

Embedding Android signal processing apps in a high school math class - An RET project. - Mahesh K. Banavar; Deepta Rajan; Andrew Strom; Photini Spanias; Xue Sophia Zhang; Henry Braun; Andreas Spanias (FIE, 2014)

Signals and systems demonstrations for undergraduates using Android-based localization. - Paul Curtis; Mahesh K. Banavar; Xue Zhang 002; Andreas Spanias; Vitor Weber (FIE, 2014)

Modeling pathological speech perception from data with similarity labels. - Visar Berisha; Julie Liss; Steven Sandoval; Rene Utianski; Andreas Spanias (ICASSP, 2014)

Direct tracking from compressive imagers: A proof of concept. - Henry Braun; Pavan K. Turaga; Andreas Spanias (ICASSP, 2014)

Automatic image annotation using inverse maps from semantic embeddings. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Peer-Timo Bremer; Andreas Spanias (ICIP, 2014)

Android acoustic ranging. - Paul Curtis; Mahesh K. Banavar; Sai Zhang 002; Andreas Spanias; Vitor Weber (IISA, 2014)

A multi-modal approach to emotion recognition using undirected topic models. - Mohit Shah; Chaitali Chakrabarti; Andreas Spanias (ISCAS, 2014)

Domain invariant speech features using a new divergence measure. - Alan Wisler; Visar Berisha; Julie Liss; Andreas Spanias (SLT, 2014)

Empirically Estimable Classification Bounds Based on a New Divergence Measure. - Visar Berisha; Alan Wisler; Alfred O. Hero III; Andreas Spanias (CoRR, 2014)

Recovering non-negative and combined sparse representations. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (Digit. Signal Process., 2014)

Kernel Sparse Models for Automated Tumor Segmentation. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Deepta Rajan; Andreas Spanias; Anup Puri; David H. Frakes (Int. J. Artif. Intell. Tools, 2014)

Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier. - Robert W. Santucci; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (IEEE Trans. Image Process., 2014)

Image Understanding Using Sparse Representations - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Pavan K. Turaga; Andreas Spanias (Morgan & Claypool Publishers, 2014)

Node counting in wireless sensor networks. - Sai Zhang 002; Cihan Tepedelenlioglu; Andreas Spanias; Mahesh K. Banavar (ACSSC, 2015)

An introductory signal processing course offered across the curriculum. - Andreas Spanias (SP/SPE, 2015)

Adaptive emergency scenery video communications using HEVC for responsive decision support in disaster incidents. - Zinonas C. Antoniou; Andreas Panayides; Marios S. Pattichis; Stavros Stavrou; Edward Kyriacou; Andreas Spanias; Anthony G. Constantinides; Constantinos S. Pattichis (EMBC, 2015)

A new signal processing course for digital culture. - Andreas Spanias; Paul Curtis; Photini Spanias; Mahesh K. Banavar (FIE, 2015)

Audio modeling and loudness estimation with IJDSP mobile simulations. - Girish Kalyanasundaram; Mahesh K. Banavar; Andreas Spanias (ICASSP, 2015)

Removing data with noisy responses in regression analysis. - Alan Wisler; Visar Berisha; Karthikeyan Ramamurthy; Andreas Spanias; Julie Liss (ICASSP, 2015)

Nonlinear diffusion adaptation with bounded transmission over distributed networks. - Jongmin Lee 003; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (ICC, 2015)

Advances in speech and audio processing and coding. - Andreas Spanias (IISA, 2015)

Undergraduate Signal Processing Laboratories for the Android Operating System. - Suhas Ranganath; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Shuang Hu; Mahesh K. Banavar; Andreas Spanias (CoRR, 2015)

An overview of recent advances on distributed and agile sensing algorithms and implementation. - Mahesh K. Banavar; Jun Jason Zhang; Bhavana Chakraborty; Homin Kwon; Ying Li; Huaiguang Jiang; Andreas Spanias; Cihan Tepedelenlioglu; Chaitali Chakrabarti; Antonia Papandreou-Suppappola (Digit. Signal Process., 2015)

Within and cross-corpus speech emotion recognition using latent topic model-based features. - Mohit Shah; Chaitali Chakrabarti; Andreas Spanias (EURASIP J. Audio Speech Music. Process., 2015)

Learning Stable Multilevel Dictionaries for Sparse Representations. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (IEEE Trans. Neural Networks Learn. Syst., 2015)

Robust Consensus in the Presence of Impulsive Channel Noise. - Sivaraman Dasarathan; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (IEEE Trans. Signal Process., 2015)

Nonlinear Amplify-and-Forward Distributed Estimation Over Nonidentical Channels. - Robert W. Santucci; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Veh. Technol., 2015)

Multipath Effects in GPS Receivers - Steven R. Miller; Xue Zhang 002; Andreas Spanias (Morgan & Claypool Publishers, 2015)

Direct classification from compressively sensed images via deep Boltzmann machine. - Henry Braun; Pavan K. Turaga; Andreas Spanias; Cihan Tepedelenlioglu (ACSSC, 2016)

Noise robust dysarthric speech classification using domain adaptation. - Alan Wisler; Visar Berisha; Andreas Spanias; Julie M. Liss (DMIAF, 2016)

An Android app for spatial acoustic analysis as a learning tool. - Thomas H. DePue; Benjamin Robistow; Robert Newman; Kevin Mack; Mahesh K. Banavar; Tianqi Yang; Dana M. Barry; Paul Curtis; Andreas Spanias; Whitni Watkins (FIE, 2016)

Development of course modules for multidisciplinary STEM education. - Andreas Spanias; Mahesh K. Banavar; Henry Braun; Photini Spanias; Yongpeng Zhang (FIE, 2016)

Distributed Estimation of the Degree Distribution in Wireless Sensor Networks. - Sai Zhang 002; Jongmin Lee 003; Cihan Tepedelenlioglu; Andreas Spanias (GLOBECOM, 2016)

Consensus inference on mobile phone sensors for activity recognition. - Huan Song; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias; Pavan K. Turaga (ICASSP, 2016)

Empirically-estimable multi-class classification bounds. - Alan Wisler; Visar Berisha; Dennis Wei; Karthikeyan Ramamurthy; Andreas Spanias (ICASSP, 2016)

Auto-context modeling using multiple Kernel learning. - Huan Song; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ICIP, 2016)

A brief survey of time- and frequency-domain adaptive filters. - Andreas Spanias (IISA, 2016)

Integrating machine learning in embedded sensor systems for Internet-of-Things applications. - Jongmin Lee 003; Michael Stanley; Andreas Spanias; Cihan Tepedelenlioglu (ISSPIT, 2016)

Measuring glomerular number from kidney MRI images. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Berkay Kanberoglu; David H. Frakes; Kevin Bennett; Andreas Spanias (Image Processing, 2016)

Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise. - Sai Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (CoRR, 2016)

Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. - Visar Berisha; Alan Wisler; Alfred O. Hero III; Andreas Spanias (IEEE Trans. Signal Process., 2016)

Node Localization in Wireless Sensor Networks - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias (Morgan & Claypool Publishers, 2016)

Distributed center and coverage region estimation in wireless sensor networks using diffusion adaptation. - Sai Zhang 002; Cihan Tepedelenlioglu; Andreas Spanias (ACSSC, 2017)

Signal processing and machine learning concepts using the reflections echolocation app. - Mahesh K. Banavar; Houchao Gan; Benjamin Robistow; Andreas Spanias (FIE, 2017)

Development of signal processing online labs using HTML5 and mobile platforms. - Abhinav Dixit; Sameeksha Katoch; Photini Spanias; Mahesh K. Banavar; Huan Song; Andreas Spanias (FIE, 2017)

Reflections: An eModule for echolocation education. - Benjamin Robistow; Robert Newman; Thomas H. DePue; Mahesh K. Banavar; Dana M. Barry; Paul Curtis; Andreas Spanias (ICASSP, 2017)

A deep learning approach to multiple kernel fusion. - Huan Song; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ICASSP, 2017)

A cyber-physical system approach for photovoltaic array monitoring and control. - Sunil Rao; Sameeksha Katoch; Pavan K. Turaga; Andreas Spanias; Cihan Tepedelenlioglu; Raja Ayyanar 001; Henry Braun; Jongmin Lee 003; Uday Shankar Shanthamallu; Mahesh K. Banavar; Devarajan Srinivasan (IISA, 2017)

A brief survey of machine learning methods and their sensor and IoT applications. - Uday Shankar Shanthamallu; Andreas Spanias; Cihan Tepedelenlioglu; Mike Stanley (IISA, 2017)

Solar energy management as an Internet of Things (IoT) application. - Andreas S. Spanias (IISA, 2017)

A data-driven basis for direct estimation of functionals of distributions. - Alan Wisler; Visar Berisha; Andreas Spanias; Alfred O. Hero III (CoRR, 2017)

A Cyber-Physical Photovoltaic Array Monitoring and Control System. - Gowtham Muniraju; Sunil Rao; Sameeksha Katoch; Andreas Spanias; Cihan Tepedelenlioglu; Pavan K. Turaga; Mahesh K. Banavar; Devarajan Srinivasan (Int. J. Monit. Surveillance Technol. Res., 2017)

Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. - Huan Song; Deepta Rajan; Jayaraman J. Thiagarajan; Andreas Spanias (AAAI, 2018)

Max Consensus in the Presence of Additive Noise. - Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias; Sai Zhang 002; Mahesh K. Banavar (ACSSC, 2018)

Online Machine Learning Experiments in HTML5. - Abhinav Dixit; Uday Shankar Shanthamallu; Andreas Spanias; Visar Berisha; Mahesh K. Banavar (FIE, 2018)

A Stem Reu Site on the Integrated Design of Sensor Devices and Signal Processing Algorithms. - Andreas Spanias; Jennifer Blain Christen (ICASSP, 2018)

Fast Non-Linear Methods for Dynamic Texture Prediction. - Sameeksha Katoch; Pavan K. Turaga; Andreas Spanias; Cihan Tepedelenlioglu (ICIP, 2018)

Shading prediction, fault detection, and consensus estimation for solar array control. - Sameeksha Katoch; Gowtham Muniraju; Sunil Rao; Andreas Spanias; Pavan K. Turaga; Cihan Tepedelenlioglu; Mahesh K. Banavar; Devarajan Srinivasan (ICPS, 2018)

Photovoltaic Array Simulation and Fault Prediction via Multilayer Perceptron Models. - Farib Khondoker; Sunil Rao; Andreas Spanias; Cihan Tepedelenlioglu (IISA, 2018)

Optimizing Activity Detection via Sensor Fusion. - Farib Khondoker; Trevor Thornton; Andreas Spanias; Uday Shankar Shanthamallu (IISA, 2018)

Triplet Network with Attention for Speaker Diarization. - Huan Song; Megan M. Willi; Jayaraman J. Thiagarajan; Visar Berisha; Andreas Spanias (INTERSPEECH, 2018)

Consensus-based Distributed Quantile Estimation in Sensor Networks. - Jongmin Lee 003; Cihan Tepedelenlioglu; Andreas Spanias (CoRR, 2018)

Attention Models with Random Features for Multi-layered Graph Embeddings. - Uday Shankar Shanthamallu; Jayaraman J. Thiagarajan; Huan Song; Andreas Spanias (CoRR, 2018)

Improving Robustness of Attention Models on Graphs. - Uday Shankar Shanthamallu; Jayaraman J. Thiagarajan; Andreas Spanias (CoRR, 2018)

Optimizing Kernel Machines Using Deep Learning. - Huan Song; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Andreas Spanias (IEEE Trans. Neural Networks Learn. Syst., 2018)

Direct Estimation of Density Functionals Using a Polynomial Basis. - Alan Wisler; Visar Berisha; Andreas Spanias; Alfred O. Hero III (IEEE Trans. Signal Process., 2018)

Distributed Network Structure Estimation Using Consensus Methods - Sai Zhang 002; Cihan Tepedelenlioglu; Andreas Spanias; Mahesh K. Banavar (Morgan & Claypool Publishers, 2018)

Global Optimization of Graph Filters with Multiple Shift Matrices. - Jie Fan; Cihan Tepedelenlioglu; Andreas Spanias (ACSSC, 2019)

A Modified Logistic Regression for Positive and Unlabeled Learning. - Kristen Jaskie; Charles Elkan; Andreas Spanias (ACSSC, 2019)

Adaptive Video Subsampling For Energy-Efficient Object Detection. - Divya Mohan; Sameeksha Katoch; Suren Jayasuriya; Pavan K. Turaga; Andreas Spanias (ACSSC, 2019)

Distributed Spectral Radius Estimation in Wireless Sensor Networks. - Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias (ACSSC, 2019)

Introducing machine learning concepts using hands-on Android-based exercises. - Blaine Ayotte; Justin Au-Yeung; Mahesh K. Banavar; Dana M. Barry; Gowtham Muniraju; Sunil Rao; Andreas Spanias; Cihan Tepedelenlioglu (FIE, 2019)

An REU Experience in Machine Learning and Computational Cameras. - Divya Mohan; Sameeksha Katoch; Suren Jayasuriya; Pavan K. Turaga; Andreas Spanias (FIE, 2019)

Introducing Machine Learning in a Sophomore Signals and Systems Course. - Chao Wang; Abhinav Dixit; Andreas Spanias; Sunil Rao (FIE, 2019)

Graph Filtering with Multiple Shift Matrices. - Jie Fan; Cihan Tepedelenlioglu; Andreas Spanias (ICASSP, 2019)

Designing an Effective Metric Learning Pipeline for Speaker Diarization. - Vivek Sivaraman Narayanaswamy; Jayaraman J. Thiagarajan; Huan Song; Andreas Spanias (ICASSP, 2019)

Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. - Raksha Ramakrishna; Anna Scaglione; Andreas Spanias; Cihan Tepedelenlioglu (ICASSP, 2019)

Introducing Machine Learning in Undergraduate DSP Classes. - Uday Shankar Shanthamallu; Sunil Rao; Abhinav Dixit; Vivek Sivaraman Narayanaswamy; Jie Fan; Andreas Spanias (ICASSP, 2019)

Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. - Juan Andrade; Pavan K. Turaga; Andreas Spanias (ICIP, 2019)

Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. - Vivek Sivaraman Narayanaswamy; Raja Ayyanar 001; Andreas Spanias; Cihan Tepedelenlioglu; Devarajan Srinivasan (ICPS, 2019)

Solar Array Fault Detection using Neural Networks. - Sunil Rao; Andreas Spanias; Cihan Tepedelenlioglu (ICPS, 2019)

Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. - Juan Andrade; Sameeksha Katoch; Pavan K. Turaga; Andreas Spanias; Cihan Tepedelenlioglu; Kristen Jaskie (IISA, 2019)

Positive And Unlabeled Learning Algorithms And Applications: A Survey. - Kristen Jaskie; Andreas Spanias (IISA, 2019)

PV Array Fault Detection using Radial Basis Networks. - Emma Pedersen; Sunil Rao; Sameeksha Katoch; Kristen Jaskie; Andreas Spanias; Cihan Tepedelenlioglu; Elias Kyriakides (IISA, 2019)

A Linear Systems Perspective on Intrusion Detection for Routing in Reconfigurable Wireless Networks. - Jaime Zuniga-Mejia; Rafaela Villalpando Hernandez; César Vargas Rosales; Andreas Spanias (IEEE Access, 2019)

Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets. - Vivek Sivaraman Narayanaswamy; Sameeksha Katoch; Jayaraman J. Thiagarajan; Huan Song; Andreas Spanias (CoRR, 2019)

Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. - Sameeksha Katoch; Kowshik Thopalli; Jayaraman J. Thiagarajan; Pavan K. Turaga; Andreas Spanias (CoRR, 2019)

Articulation constrained learning with application to speech emotion recognition. - Mohit Shah; Ming Tu; Visar Berisha; Chaitali Chakrabarti; Andreas Spanias (EURASIP J. Audio Speech Music. Process., 2019)

Location estimation and detection in wireless sensor networks in the presence of fading. - Xue Zhang 002; Cihan Tepedelenlioglu; Mahesh K. Banavar; Andreas Spanias; Gowtham Muniraju (Phys. Commun., 2019)

Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. - Victor Solo; Maria Sabrina Greco; Danilo P. Mandic; Petar M. Djuric; Andreas Spanias; Mónica F. Bugallo (IEEE Signal Process. Mag., 2019)

Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. - Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Reconstruction-Free Compressive Vision for Surveillance Applications - Henry Braun; Pavan K. Turaga; Andreas Spanias; Sameeksha Katoch; Suren Jayasuriya; Cihan Tepedelenlioglu (Morgan & Claypool Publishers, 2019)

Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype. - Jayden Booth; Ahmed Ewaisha; Andreas Spanias; Ahmed Alkhateeb (ACSSC, 2020)

A Regularized Attention Mechanism for Graph Attention Networks. - Uday Shankar Shanthamallu; Jayaraman J. Thiagarajan; Andreas Spanias (ICASSP, 2020)

Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking. - Odrika Iqbal; Saquib Siddiqui; Joshua Martin; Sameeksha Katoch; Andreas Spanias; Daniel W. Bliss; Suren Jayasuriya (ICIP, 2020)

Fault Classification in Photovoltaic Arrays Using Graph Signal Processing. - Jie Fan; Sunil Rao; Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias (ICPS, 2020)

Machine Learning For Fast Short-Term Energy Load Forecasting. - Dominique Smith; Kristen Jaskie; John J. Cadigan; Joseph W. Marvin; Andreas Spanias (ICPS, 2020)

IRES Program in Sensors and Machine Learning for Energy Systems. - 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 (IISA, 2020)

Deep Learning Networks for Vectorized Energy Load Forecasting. - Kristen Jaskie; Dominique Smith; Andreas Spanias (IISA, 2020)

Machine Learning Workforce Development Programs on Health and COVID-19 Research. - Andreas Spanias (IISA, 2020)

Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller. - Joshua Vandermeer; Frank Giuliani; Erica Low; Katherine Thomasson; Andreas Spanias (IISA, 2020)

Unsupervised Audio Source Separation Using Generative Priors. - Vivek Sivaraman Narayanaswamy; Jayaraman J. Thiagarajan; Rushil Anirudh; Andreas Spanias (INTERSPEECH, 2020)

Consensus Based Distributed Spectral Radius Estimation. - Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Signal Process. Lett., 2020)

GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models. - Uday Shankar Shanthamallu; Jayaraman J. Thiagarajan; Huan Song; Andreas Spanias (IEEE Trans. Neural Networks Learn. Syst., 2020)

Machine Learning for Solar Array Monitoring, Optimization, and Control - Sunil Rao; Sameeksha Katoch; Vivek Sivaraman Narayanaswamy; Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias; Pavan K. Turaga; Raja Ayyanar 001; Devarajan Srinivasan (Morgan & Claypool Publishers, 2020)

Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. - Uday Shankar Shanthamallu; Jayaraman J. Thiagarajan; Andreas Spanias (AAAI, 2021)

Accurate and Robust Feature Importance Estimation under Distribution Shifts. - Jayaraman J. Thiagarajan; Vivek Sivaraman Narayanaswamy; Rushil Anirudh; Peer-Timo Bremer; Andreas Spanias (AAAI, 2021)

COVID-19 Detection using Audio Spectral Features and Machine Learning. - Michael Esposito; Sunil Rao; Vivek Sivaraman Narayanaswamy; Andreas Spanias (ACSCC, 2021)

Distributed Edge Counting for Wireless Sensor Networks. - Gowtham Muniraju; Cihan Tepedelenlioglu; Andreas Spanias (ACSCC, 2021)

Research Experiences for Teachers in Machine Learning. - Kristen Jaskie; Jean S. Larson; Milton Johnson; Kathy Turner; Megan O'Donnell; Jennifer Blain Christen; Sunil Rao; Andreas Spanias (FIE, 2021)

Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period. - Vivek Sivaraman Narayanaswamy; Photini Spanias; Sunil Rao; Andreas Spanias (FIE, 2021)

Using Deep Image Priors to Generate Counterfactual Explanations. - Vivek Sivaraman Narayanaswamy; Jayaraman J. Thiagarajan; Andreas Spanias (ICASSP, 2021)

Bayesian Optimization in High-Dimensional Spaces: A Brief Survey. - Mohit Malu; Gautam Dasarathy; Andreas Spanias (IISA, 2021)

PV Array Soiling Detection using Machine Learning. - Joshua Martin; Kristen Jaskie; Yiannis Tofis; Andreas Spanias (IISA, 2021)

Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection. - Sunil Rao; Vivek Sivaraman Narayanaswamy; Michael Esposito; Jayaraman J. Thiagarajan; Andreas Spanias (IISA, 2021)

Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection. - Glen S. Uehara; Sunil Rao; Mathew Dobson; Cihan Tepedelenlioglu; Andreas Spanias (IISA, 2021)

Quantum Information Processing Algorithms with Emphasis on Machine Learning. - Glen S. Uehara; Andreas Spanias; William Clark (IISA, 2021)

On the Design of Deep Priors for Unsupervised Audio Restoration. - Vivek Sivaraman Narayanaswamy; Jayaraman J. Thiagarajan; Andreas Spanias (Interspeech, 2021)

Designing Counterfactual Generators using Deep Model Inversion. - Jayaraman J. Thiagarajan; Vivek Sivaraman Narayanaswamy; Deepta Rajan; Jason Liang; Akshay Chaudhari; Andreas Spanias (NeurIPS, 2021)

Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays. - Sunil Rao; Gowtham Muniraju; Cihan Tepedelenlioglu; Devarajan Srinivasan; Govindasamy Tamizhmani; Andreas Spanias (IEEE Access, 2021)

Loss Estimators Improve Model Generalization. - Vivek Sivaraman Narayanaswamy; Jayaraman J. Thiagarajan; Deepta Rajan; Andreas Spanias (CoRR, 2021)

Improving Multi-Domain Generalization through Domain Re-labeling. - Kowshik Thopalli; Sameeksha Katoch; Andreas Spanias; Pavan K. Turaga; Jayaraman J. Thiagarajan (CoRR, 2021)

COVID-19 detection using cough sound analysis and deep learning algorithms. - Sunil Rao; Vivek Sivaraman Narayanaswamy; Michael Esposito; Jayaraman J. Thiagarajan; Andreas Spanias (Intell. Decis. Technol., 2021)

Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization. - Gowtham Muniraju; Bhavya Kailkhura; Jayaraman J. Thiagarajan; Peer-Timo Bremer; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Neural Networks Learn. Syst., 2021)

Machine and Deep Learning Algorithms and Applications - Uday Shankar Shanthamallu; Andreas Spanias (Morgan & Claypool Publishers, 2021)

Undergraduate Research and Education in Quantum Machine Learning. - Glen S. Uehara; Jean S. Larson; Wendy Barnard; Michael Esposito; Filippo Posta; Maxwell Yarter; Aradhita Sharma; Niki Kyriacou; Matthew Dobson; Andreas Spanias (FIE, 2022)

Predicting the Generalization Gap in Deep Models using Anchoring. - Vivek Sivaraman Narayanaswamy; Rushil Anirudh; Irene Kim; Yamen Mubarka; Andreas Spanias; Jayaraman J. Thiagarajan (ICASSP, 2022)

Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. - Rakshith Subramanyam; Vivek Sivaraman Narayanaswamy; Mark Naufel; Andreas Spanias; Jayaraman J. Thiagarajan (ICML, 2022)

Distributed Consensus based COVID-19 Hotspot Density Estimation. - Monalisa Achalla; Gowtham Muniraju; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias; Stephanie Schuckers (IISA, 2022)

Quantum Machine Learning for Audio Classification with Applications to Healthcare. - Michael Esposito; Glen S. Uehara; Andreas Spanias (IISA, 2022)

The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. - 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 (IISA, 2022)

Quantum Machine Learning for Photovoltaic Topology Optimization. - Glen S. Uehara; Vivek Sivaraman Narayanaswamy; Cihan Tepedelenlioglu; Andreas Spanias (IISA, 2022)

Implementation and Analysis of Quantum Homomorphic Encryption. - Maxwell Yarter; Glen S. Uehara; Andreas Spanias (IISA, 2022)

Adaptive Subsampling for ROI-Based Visual Tracking: Algorithms and FPGA Implementation. - Odrika Iqbal; Victor Isaac Torres Muro; Sameeksha Katoch; Andreas Spanias; Suren Jayasuriya (IEEE Access, 2022)

Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection. - Vivek Sivaraman Narayanaswamy; Yamen Mubarka; Rushil Anirudh; Deepta Rajan; Andreas Spanias; Jayaraman J. Thiagarajan (CoRR, 2022)

Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques. - David Ramirez; Suren Jayasuriya; Andreas Spanias (CoRR, 2022)

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors. - 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; et al. (Int. J. Virtual Pers. Learn. Environ., 2022)

Graph-Based Classification With Multiple Shift Matrices. - Jie Fan; Cihan Tepedelenlioglu; Andreas Spanias (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Analysis of a Modified SEIRS Compartmental Model for COVID-19. - Lavanya Shri S. A.; Bhavikumar Patel; Mahesh K. Banavar; Cihan Tepedelenlioglu; Andreas Spanias; Stephanie Schuckers (ACSSC, 2023)

Quantum Linear Prediction for System Identification and Spectral Estimation Applications. - Aradhita Sharma; Glen S. Uehara; Andreas Spanias (ACSSC, 2023)

Introducing Quantum Computing in a Sophomore Signals and Systems Course. - Chao Wang; Aradhita Sharma; Glen S. Uehara; Leslie Miller; Deep Pujara; Wendy Barnard; Jean S. Larson; Andreas Spanias (FIE, 2023)

Signal Analysis-Synthesis Using the Quantum Fourier Transform. - Aradhita Sharma; Glen S. Uehara; Vivek Sivaraman Narayanaswamy; Leslie Miller; Andreas Spanias (ICASSP, 2023)

Quantum Machine Learning for Optical and SAR Classification. - Leslie Miller; Glen S. Uehara; Aradhita Sharma; Andreas Spanias (DSP, 2023)

AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. - Grace Billingsley; Julia Dietlmeier; Vivek Sivaraman Narayanaswamy; Andreas Spanias; Noel E. O'Connor (ICIP, 2023)

Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks. - Sunil Rao; Deep Pujara; Andreas Spanias; Cihan Tepedelenlioglu; Devarajan Srinivasan (ICPS, 2023)

Design of a New Photovoltaic Intelligent Monitoring and Control Device. - Deep Pujara; David Ramirez; Cihan Tepedelenlioglu; Devarajan Srinivasan; Andreas Spanias (IISA, 2023)

Class GP: Gaussian Process Modeling for Heterogeneous Functions. - Mohit Malu; Giulia Pedrielli; Gautam Dasarathy; Andreas Spanias (LION, 2023)

Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. - Vivek Sivaraman Narayanaswamy; Yamen Mubarka; Rushil Anirudh; Deepta Rajan; Andreas Spanias; Jayaraman J. Thiagarajan (MIDL, 2023)

Investigating a Quantum Cloud Paradigm with Quantum Neural Networks. - Maxwell Yarter; Glen S. Uehara; Andreas Spanias (MWSCAS, 2023)

Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning. - Sameeksha Katoch; Odrika Iqbal; Andreas Spanias; Suren Jayasuriya (IEEE Access, 2023)

Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks. - Vivek Sivaraman Narayanaswamy; Raja Ayyanar 001; Cihan Tepedelenlioglu; Devarajan Srinivasan; Andreas Spanias (IEEE Access, 2023)

Software-Defined Imaging: A Survey. - Suren Jayasuriya; Odrika Iqbal; Venkatesh Kodukula; Victor Isaac Torres Muro; Robert LiKamWa; Andreas Spanias (Proc. IEEE, 2023)

Quantum Machine Learning and Spectrogram Fusion for Speech Recognition. - Leslie Miller; Tanay Kamlesh Patel; Glen S. Uehara; Salil Naik; Andreas Spanias (IEEECONF, 2024)

WIP: Building a Research Experience for Undergraduates in Quantum Machine Learning. - Jean S. Larson; Deep Pujara; David Ramirez; Leslie Miller; Tanay Kamlesh Patel; Niraj Anil Babar; Andreas Spanias (FIE, 2024)

Real-time PV Fault Detection using Embedded Machine Learning. - Deep Pujara; David Ramirez; Cihan Tepedelenlioglu; Devarajan Srinivasan; Andreas Spanias (ICPS, 2024)

Image Fusion and Quantum Machine Learning for Remote Sensing Applications. - Leslie Miller; Glen S. Uehara; Andreas Spanias (IISA, 2024)

Infrared Computer Vision for Utility-Scale Photovoltaic Array Inspection. - David Ramirez; Deep Pujara; Cihan Tepedelenlioglu; Devarajan Srinivasan; Andreas Spanias (IISA, 2024)

ClassBO: Bayesian Optimization for Heterogeneous Functions. - Mohit Malu; Giulia Pedrielli; Gautam Dasarathy; Andreas Spanias (LION, 2024)

Quantum Positive Unlabeled Learning Algorithms with Applications to Energy. - Salil Naik; Glen S. Uehara; Kristen Jaskie; Leslie Miller; Andreas Spanias (MLSP, 2024)

Implementation of Quantum Machine Learning on Educational Data. - Sofía Ramos-Pulido; Neil Hernández-Gress; Glen S. Uehara; Andreas Spanias; Héctor Gibrán Ceballos-Cancino (ICAART (3), 2025)

Image Analysis-Synthesis Using the Quantum Fourier Transform. - Tanay Kamlesh Patel; Danielle Knutson; Glen S. Uehara; Frank Marfai; Carly Jazwin; Jean S. Larson; Andreas Spanias (ISCAS, 2025)

High dimensional Bayesian optimization for circuit design. - Mohit Malu; Diann Dow; Prateek Sharma; Alexis Cottam; Mat Binggeli; Gautam Dasarathy; Giulia Pedrielli; Andreas Spanias (Intell. Decis. Technol., 2025)

Photovoltaic fault classification by leveraging quantum entanglement and correlation. - Glen S. Uehara; Andreas Spanias (Intell. Decis. Technol., 2025)