M. Shadaydeh

发表

Wetland mapping by fusion of airborne laser scanning and multi-temporal multispectral satellite imagery

Tamás Szirányi, Andrea Manno-Kovacs, Maha Shadaydeh, 2017 .

Steady State Analysis of 2-D LMS Adaptive Filters Using the Independence Assumption

Masayuki Kawamata, Maha Shadaydeh, M. Kawamata, 1999 .

ATTRIBUTION OF MULTIVARIATE EXTREME EVENTS

Joachim Denzler, M. Mahecha, M. Shadaydeh, 2019 .

Steady State Analysis of Two-Dimensional LMS Adaptive Filters Using the Independence Assumption

M. Kawamata, M. Shadaydeh, 1998 .

Convergence analysis of two-dimensional LMS FIR filters

M. Kawamata, M. Shadaydeh, 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

Domain Knowledge Integration for Causality Analysis of Carbon-Cycle Variables

Jakob Runge, Veronika Eyring, Joachim Denzler, 2018 .

Partitioning of Net Ecosystem Exchange Using Dynamic Mode Decomposition and Time Delay Embedding

M. Migliavacca, M. Shadaydeh, J. Denzler, 2022, ITISE 2022.

A Comparison of Machine Learning Algorithms and Feature Sets for Automatic Vocal Emotion Recognition in Speech

S. Schweinberger, M. Shadaydeh, D. Schneider, 2022, Sensors.

A Data-Driven Approach to Partitioning Net Ecosystem Exchange Using a Deep State Space Model

V. T. Trifunov, J. Runge, M. Reichstein, 2021, IEEE Access.

Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions

V. T. Trifunov, M. Shadaydeh, J. Denzler, 2022, 2209.11497.

Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding

V. T. Trifunov, M. Shadaydeh, J. Denzler, 2022, ArXiv.

Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection

Joachim Denzler, Veronika Eyring, Maha Shadaydeh, 2019, GCPR.

An improved mutual information similarity measure for registration of multi-modal remote sensing images

Maha Shadaydeh, Tamas Sziranyi, T. Szirányi, 2015, SPIE Remote Sensing.

Analyzing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study

Maha Shadaydeh, Joachim Denzler, Dana Schneider, 2021, IEEE Access.

A virtual “Werkstatt” for digitization in the sciences

Joachim Denzler, Birgitta König-Ries, Mirco Migliavacca, 2020, Research Ideas and Outcomes.

Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study pdf

Joachim Denzler, Maha Shadaydeh, Lea Mueller, 2020, ArXiv.

Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals

Maha Shadaydeh, Joachim Denzler, Wasim Ahmad, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Fetal ECG extraction exploiting joint sparse supports in a dual dictionary framework

Tareq Y. Al-Naffouri, Ibrahim Hoteit, Furrukh Sana, 2019, Biomed. Signal Process. Control..

Extraction of fetal ECG using adaptive Volterra filters

Rabab Kreidieh Ward, Yegui Xiao, Maha Shadaydeh, 2008, 2008 16th European Signal Processing Conference.

Multilayer Markov Random Field Models for Change Detection in Optical Remote Sensing Images

Josiane Zerubia, Tamás Szirányi, Csaba Benedek, 2015 .

Causal Discovery using Model Invariance through Knockoff Interventions

M. Shadaydeh, J. Denzler, Wasim Ahmad, 2022, ArXiv.

Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems

Joachim Denzler, Miguel D. Mahecha, Maha Shadaydeh, 2019, GCPR.

Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model

Joachim Denzler, Maha Shadaydeh, Miguel Mahecha, 2018, Natural Hazards.

BACI: Towards a Biosphere Atmosphere Change Index - Detection of extreme events in the biosphere

Joachim Denzler, M. Reichstein, M. Mahecha, 2018 .

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach

M. Shadaydeh, C. Spreckelsen, Sven Festag, 2022, 2022 Computing in Cardiology (CinC).

Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning

Maha Shadaydeh, Joachim Denzler, V. T. Trifunov, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding

V. T. Trifunov, M. Shadaydeh, Joachim Denzler, 2022, ArXiv.

A belowground perspective on the nexus between biodiversity change, climate change, and human well‐being

M. Wendisch, S. Zaehle, M. Reichstein, 2024, Journal of Sustainable Agriculture and Environment.

Counterfactual Generation with Knockoffs pdf

Joachim Denzler, Maha Shadaydeh, Oana-Iuliana Popescu, 2021, ArXiv.