Publications


A list of publications by our group members since 2018.



Ruksana Kabealo, Steven Wyatt, Akshay Aravamudan, Xi Zhang, David N. Acaron, Mawaba P. Dao, David Elliott, Anthony O. Smith, Carlos E. Otero, Luis D. Otero, Georgios C. Anagnostopoulos, Adrian M. Peter, Wesley Jones, Eric Lam (2023). A multi-firearm, multi-orientation audio dataset of gunshots. DiB.

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Xi Zhang, Akshay Aravamudan, Georgios C. Anagnostopoulos (2022). Anytime Information Cascade Popularity Prediction via Self-Exciting Processes. ICML 2022.

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Zimeena Rasheed, Akshay Aravamudan, Ali Gorji Sefidmazgi, Georgios C. Anagnostopoulos, Efthymios I. Nikolopoulos (2022). Advancing flood warning procedures in ungauged basins with machine learning. Journal of Hydrology.

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Zimeena Rasheed, Akshay Aravamudan, Georgios C. Anagnostopoulos, Efthymios I. Nikolopoulos (2022). Flood prediction in ungauged basins with machine learning and satellite precipitation data. EGU General Assembly 2022.

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Akshay Aravamudan, Zimeena Rasheed, Xi Zhang, Georgios C. Anagnostopoulos, Witold F. Krajewski, Efthymios I. Nikolopoulos (2021). Deep Residual Downscaling of Remote Sensing Imagery for Flood Hazard Assessment. AGU Fall Meeting 2021.

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David Nieves-Acaron, Benjamin Luchterhand, Akshay Aravamudan, David Elliott, Steven Wyatt, Carlos E. Otero, Luis D. Otero, Anthony O. Smith, Adrian M. Peter, Wesley Jones, Eric Lam (2021). ACE: An ATAK Plugin for Enhanced Acoustic Situational Awareness at the Edge. MILCOM 2021.

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Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece Cigdem, Madeline Schiappa, Steven Scheinert, Georgios C. Anagnostopoulos, Christina Bowens, Stephen M. Fiore, Alexander Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda B. Hajiakhoond, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang (2021). Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CSSSA 2020.

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Steven Wyatt, David Elliot, Akshay Aravamudan, Carlos E. Otero, Luis D. Otero, Georgios C. Anagnostopoulos, Anthony O. Smith, Adrian M. Peter, Wesley Jones, Steven Leung, Eric Lam (2021). Environmental Sound Classification with Tiny Transformers in Noisy Edge Environments. WF-IoT 2021.

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Akshay Aravamudan, Xi Zhang, Jihye Song, Stephen M. Fiore, Georgios C. Anagnostopoulos (2021). Influence Dynamics Among Narratives. SPB-BRiMS 2021.

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Zimeena Rasheed, Akshay Aravamudan, Georgios C. Anagnostopoulos, Ali Gorji Sefidmazgi, Efthymios I. Nikolopoulos (2020). Machine Learning for Flood Peak Prediction in Ungauged Basins. AGU Fall Meeting 2020.

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Xi Zhang, Akshay Aravamudan, Anna Koufakou, Chathika Gunaratne, Ivan Garibay, Georgios C. Anagnostopoulos (2020). Predicting Software Vulnerability Exploits from Social Media Confabulations. IC2S2 2020.

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Nenad Mijatovic, Rana Haber, Georgios C. Anagnostopoulos, Anthony O. Smith, Adrian M. Peter (2019). A Proximal Algorithm for Estimating the Regularized Wavelet-based Density-Difference. CSCI 2019.

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Ivan Garibay, Madeline Schiappa, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Heather Keathley, Alexander Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Anamaria Berea, Chathika Gunaratne, Neda B. Hajiakhoond, Gabriel Fair, Jasser Jasser, Chathura Jayalath, Ece Mutlu, Olivia B. Newton, Amirarsalan Rajabi, Samaneh Saadat, Steve R. Scheinert, Chathurani Senevirathna, Rachel Winter, Xi Zhang (2019). Deep Agent: Computational Social Science Centered Simulation of Online Information Environments. IC2S2 2019.

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Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos (2018). Multi-label Learning via Codewords. ICTAI 2018.

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Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos (2018). Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. JMLR.

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Tiantian Zhang, Michael Georgiopoulos, Georgios C. Anagnostopoulos (2018). Pareto-Optimal Model Selection via SPRINT-Race. IEEE TCyb.

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