25 citations · 51 across the 9 of their papers we have counts for
9 papers
Source-Free Cross-Domain Continual Learning
Muhammad Tanzil Furqon, Mahardhika Pratama, Igor Škrjanc +3
Although existing cross-domain continual learning approaches successfully address many streaming tasks having domain shifts, they call for a fully labeled source domain hindering t…
Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
M. T. Furqon, Mahardhika Pratama, Igor Skrjanc +3
The black-box domain adaptation (BBDA) topic is developed to address the privacy and security issues where only an application programming interface (API) of the source model is av…
Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations
Muhammad Tanzil Furqon, Mahardhika Pratama, Ary Mazharuddin Shiddiqi +3
The issue of source-free time-series domain adaptations still gains scarce research attentions. On the other hand, existing approaches rely solely on time-domain features ignoring…
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
Muhammad Tanzil Furqon, Mahardhika Pratama, Lin Liu +2
Remaining Useful Life (RUL) predictions play vital role for asset planning and maintenance leading to many benefits to industries such as reduced downtime, low maintenance costs, e…
On the Asymptotic Bias of the Diffusion-Based Distributed Pareto Optimization
Reza Arablouei, Kutluyıl Doğançay, Stefan Werner +1
We revisit the asymptotic bias analysis of the distributed Pareto optimization algorithm developed based on the diffusion strategies. We propose an alternative way to analyze the a…
On the Mean-Square Performance of the Constrained LMS Algorithm
Reza Arablouei, Kutluyıl Doğançay, Stefan Werner
The so-called constrained least mean-square algorithm is one of the most commonly used linear-equality-constrained adaptive filtering algorithms. Its main advantages are adaptabili…
Performance Analysis of Linear-Equality-Constrained Least-Squares Estimation
Reza Arablouei, Kutluyıl Doğançay
We analyze the performance of a linear-equality-constrained least-squares (CLS) algorithm and its relaxed version, called rCLS, that is obtained via the method of weighting. The rC…
Recursive Total Least-Squares Algorithm Based on Inverse Power Method and Dichotomous Coordinate-Descent Iterations
Reza Arablouei, Kutluyıl Doğançay, Stefan Werner
We develop a recursive total least-squares (RTLS) algorithm for errors-in-variables system identification utilizing the inverse power method and the dichotomous coordinate-descent…
Analysis of a Reduced-Communication Diffusion LMS Algorithm
Reza Arablouei, Stefan Werner, Kutluyıl Doğançay +1
In diffusion-based algorithms for adaptive distributed estimation, each node of an adaptive network estimates a target parameter vector by creating an intermediate estimate and the…