Picture for Deniz Erdogmus

Deniz Erdogmus

Department of ECE, Northeastern University

KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators

Add code
Sep 29, 2024
Figure 1 for KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
Figure 2 for KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
Figure 3 for KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
Figure 4 for KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
Viaarxiv icon

Continuously Optimizing Radar Placement with Model Predictive Path Integrals

Add code
May 30, 2024
Viaarxiv icon

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach

Add code
Mar 08, 2024
Viaarxiv icon

Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation

Add code
Feb 24, 2024
Viaarxiv icon

Tubular Curvature Filter: Implicit Pointwise Curvature Calculation Method for Tubular Objects

Add code
Nov 20, 2023
Viaarxiv icon

Stabilizing Subject Transfer in EEG Classification with Divergence Estimation

Add code
Oct 12, 2023
Viaarxiv icon

Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection

Add code
Jul 13, 2023
Viaarxiv icon

Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics

Add code
Jan 06, 2023
Viaarxiv icon

Recursive classification of satellite imaging time-series: An application to water and land cover mapping

Add code
Jan 04, 2023
Viaarxiv icon

Inv-SENnet: Invariant Self Expression Network for clustering under biased data

Add code
Nov 13, 2022
Viaarxiv icon