Seyed Sahand Mohammadi Ziabari

According to our database, Seyed Sahand Mohammadi Ziabari authored at least 47 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Causally Disentangled Contrastive Learning for Multilingual Speaker Embeddings.

Mariëtte Olijslager, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor Alsahag

CoRR, February, 2026

Hybrid Vision Transformer_GAN Attribute Neutralizer for Mitigating Bias in Chest X_Ray Diagnosis.

Jobeal Solomon, Ali Mohammed Mansoor Alsahag, Seyed Sahand Mohammadi Ziabari

CoRR, January, 2026

Assessing the quality and coherence of word embeddings after SCM-based intersectional bias mitigation.

Eren Kocadag, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor Alsahag

CoRR, January, 2026

Cross-Language Speaker Attribute Prediction Using MIL and RL.

Sunny Shu, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor Alsahag

CoRR, January, 2026

Intrinsic interpretability at parity: Attention-Based RL-MIL for student outcome prediction.

Nina May Braakman, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor Alsahag, Yousuf Nasser Al Husaini

Nat. Lang. Process. J., 2026

A Hybrid Ensemble Machine Learning Framework with Membership-Function Feature Engineering for Non-Invasive Prediction of HER2 Status in Breast Cancer.

Hassan Salarabadi, Dariush Salimi, Seyed Sahand Mohammadi Ziabari, Mozaffar Aznab

Inf., 2026

SG-MuRCL: Smoothed Graph-Enhanced Multi-Instance Contrastive Learning for Robust Whole-Slide Image Classification.

Bo Yi Lin, Seyed Sahand Mohammadi Ziabari, Yousuf Nasser Al Husaini, Ali Mohammed Mansoor Alsahag

Inf., 2026

Explainable feature selection combining particle swarm optimisation with adaptive LASSO for MRI radiogenomics: Predicting HPV status in oropharyngeal cancer.

Milad Ahmadian, Zuhir Bodalal, Mary Adib, Seyed Sahand Mohammadi Ziabari, Paula Bos, Roland Martens, Georgios Agrotis, Conchita Vens, Luc H. E. Karssemakers, Abrahim Al-Mamgani, Pim de Graaf, Bas Jasperse, Ruud H. Brakenhoff, C. René Leemans, Regina G. H. Beets-Tan, Michiel W. M. van den Brekel, Jonas A. Castelijns

Comput. Methods Programs Biomed., 2026

2025

Fairness Metric Design Exploration in Multi-Domain Moral Sentiment Classification using Transformer-Based Models.

Battemuulen Naranbat, Seyed Sahand Mohammadi Ziabari, Yousuf Nasser Al Husaini, Ali Mohammed Mansoor Alsahag

CoRR, October, 2025

Effects of Unplanned Incoming Flights on Airport Relief Processes after a Major Natural Disaster.

Luka Van de Sype, Matthieu Vert, Alexei Sharpanskykh, Seyed Sahand Mohammadi Ziabari

CoRR, July, 2025

Multi-Agent Reinforcement Learning for Dynamic Pricing in Supply Chains: Benchmarking Strategic Agent Behaviours under Realistically Simulated Market Conditions.

Thomas Hazenberg, Yao Ma, Seyed Sahand Mohammadi Ziabari, Marijn van Rijswijk

CoRR, July, 2025

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model.

Tim Uilkema, Yao Ma, Seyed Sahand Mohammadi Ziabari, Joep van Vliet

CoRR, July, 2025

Exploring a Hybrid Deep Learning Approach for Anomaly Detection in Mental Healthcare Provider Billing: Addressing Label Scarcity through Semi-Supervised Anomaly Detection.

Samirah Bakker, Yao Ma, Seyed Sahand Mohammadi Ziabari

CoRR, July, 2025

A Topological Improvement of the Overall Performance of Sparse Evolutionary Training: Motif-Based Structural Optimization of Sparse MLPs Project.

Xiaotian Chen, Hongyun Liu, Seyed Sahand Mohammadi Ziabari

CoRR, June, 2025

A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data.

Chaim Chai Elchik, Fatemeh Karimi Nejadasl, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor Alsahag

CoRR, May, 2025

Addressing Label Scarcity: Hybrid Anomaly Detection in Mental Healthcare Billing.

Samirah Bakker, Yao Ma, Seyed Sahand Mohammadi Ziabari

Proceedings of the Information Integration and Web Intelligence, 2025

Predicting Groundwater Level Anomalies under Data Scarcity with LSTMs and Transfer Learning.

Sarp Barokas Profeta, Ali Mohammed Mansoor Alsahag, Seyed Sahand Mohammadi Ziabari

Proceedings of the 19th IIAI International Congress on Advanced Applied Informatics, 2025

2024

MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos.

Zsófia Katona, Seyed Sahand Mohammadi Ziabari, Fatemeh Karimi Najadasl

CoRR, 2024

Leveraging Foundation Models via Knowledge Distillation in Multi-Object Tracking: Distilling DINOv2 Features to FairMOT.

Niels G. Faber, Seyed Sahand Mohammadi Ziabari, Fatemeh Karimi Najadasl

CoRR, 2024

The Integration of Federated Learning Techniques in Predictive Aircraft Maintenance Using Cloud Services.

Kim Tigchelaar, Seyed Sahand Mohammadi Ziabari, Jeroen Mulder

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2024

Attention to the Branches: A Comparative Analysis of FairMOT with Transformers on Fish Dataset.

Karim Anwar, Seyed Sahand Mohammadi Ziabari

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2024

Vision Transformer Approach to Customer Churn Prediction Radar Chart Image Classification for Non-subscription Based E-commerce.

Sion Coolwijk, Seyed Sahand Mohammadi Ziabari, Francesco Angileri

Proceedings of the Information Integration and Web Intelligence, 2024

Enhancing Soil Pollution Prediction Through Expert-Defined Risk Zones and Machine Learning: A Case Study in the Netherlands.

Jasper Braakman, Seyed Sahand Mohammadi Ziabari, Aaron Korver

Proceedings of the Information Integration and Web Intelligence, 2024

MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos.

Zsófia Katona, Seyed Sahand Mohammadi Ziabari, Fatemeh Karimi Nejadasl

Proceedings of the Big Data and Artificial Intelligence - 12th International Conference, 2024

Evaluating Deep Learning-Based Speaker Verification Systems: A Comparative Study Across Open-Source and Forensic Datasets.

Ian van Beveren, Eleni Sergidou, Seyed Sahand Mohammadi Ziabari

Proceedings of the Analysis of Images, Social Networks and Texts, 2024

2023

A comprehensive study of agent-based airport terminal operations using surrogate modeling and simulation.

Benjamin C. D. De Bosscher, Seyed Sahand Mohammadi Ziabari, Alexei Sharpanskykh

Simul. Model. Pract. Theory, November, 2023

Towards a Better Understanding of Agent-Based Airport Terminal Operations Using Surrogate Modeling.

Benjamin C. D. De Bosscher, Seyed Sahand Mohammadi Ziabari, Alexei Sharpanskykh

Proceedings of the Multi-Agent-Based Simulation XXIV - 24th International Workshop, 2023

Enhancing AI Adoption in Healthcare: A Data Strategy for Improved Heart Disease Prediction Accuracy Through Deep Learning Techniques.

Rohan Deshamudre, Seyed Sahand Mohammadi Ziabari, Marc van Houten

Proceedings of the Information Integration and Web Intelligence, 2023

Exploring CycleGAN for Bias Reduction in Gender Classification: Generative Modelling for Diversifying Data Augmentation.

Dimitri Hooftman, Seyed Sahand Mohammadi Ziabari, Joop Snijder

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

Surrogate Modeling of Agent-Based Airport Terminal Operations.

Benyamin De Leeuw, Seyed Sahand Mohammadi Ziabari, Alexei Sharpanskykh

Proceedings of the Multi-Agent-Based Simulation XXIII - 23rd International Workshop, 2022

2021

A brain-inspired cognitive support model for stress reduction based on an adaptive network model.

Andrei Andrianov, Seyed Sahand Mohammadi Ziabari, Charlotte Gerritsen

Cogn. Syst. Res., 2021

Demo Paper: A Tool for Analyzing COVID-19-Related Measurements Using Agent-Based Support Simulator for Airport Terminal Operations.

Seyed Sahand Mohammadi Ziabari, Gregory Sanders, Adin Mekic, Alexei Sharpanskykh

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Agent-Based Modelling and Simulation of Airport Terminal Operations Under COVID-19-Related Restrictions.

Gregory Sanders, Seyed Sahand Mohammadi Ziabari, Adin Mekic, Alexei Sharpanskykh

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Using Causal Discovery to Design Agent-Based Models.

Stef Janssen, Alexei Sharpanskykh, Seyed Sahand Mohammadi Ziabari

Proceedings of the Multi-Agent-Based Simulation XXII - 22nd International Workshop, 2021

2020

Decision Making Under Acute Stress Modeled by an Adaptive Temporal-Causal Network Model.

Seyed Sahand Mohammadi Ziabari, Jan Treur

Vietnam. J. Comput. Sci., 2020

2019

An Adaptive Temporal-Causal Network Model for Stress Extinction Using Fluoxetine.

Seyed Sahand Mohammadi Ziabari

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Integrative Cognitive and Affective Modeling of Deep Brain Stimulation.

Seyed Sahand Mohammadi Ziabari

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

A Modeling Environment for Dynamic and Adaptive Network Models Implemented in MATLAB.

Seyed Sahand Mohammadi Ziabari, Jan Treur

Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

A Temporal Cognitive Model of the Influence of Methylphenidate (Ritalin) on Test Anxiety.

Ilse Lelieveld, Gert-Jan Storre, Seyed Sahand Mohammadi Ziabari

Proceedings of the Fourth International Congress on Information and Communication Technology, 2019

A Cognitive Temporal-Causal Network Model of Hormone Therapy.

Seyed Sahand Mohammadi Ziabari

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

A Computational Model of Myelin Excess for Patients with Post-Traumatic Stress Disorder.

Jelmer Langbroek, Jan Treur, Seyed Sahand Mohammadi Ziabari

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Integrative Biological, Cognitive and Affective Modeling of Caffeine Use on Stress.

Rosaline E. de Haan, Minke Blankert, Seyed Sahand Mohammadi Ziabari

Proceedings of the Distributed Computing and Artificial Intelligence, 2019

Cognitive Modeling of Mindfulness Therapy: Effect of Yoga on Overcoming Stress.

Andrei Andrianov, Edoardo Guerriero, Seyed Sahand Mohammadi Ziabari

Proceedings of the Distributed Computing and Artificial Intelligence, 2019

2018

Integrative Biological, Cognitive and Affective Modeling of a Drug-Therapy for a Post-traumatic Stress Disorder.

Seyed Sahand Mohammadi Ziabari, Jan Treur

Proceedings of the Theory and Practice of Natural Computing - 7th International Conference, 2018

An Adaptive Cognitive Temporal-Causal Network Model of a Mindfulness Therapy Based on Music.

Seyed Sahand Mohammadi Ziabari, Jan Treur

Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018

An Adaptive Temporal-Causal Network Model for Decision Making Under Acute Stress.

Jan Treur, Seyed Sahand Mohammadi Ziabari

Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Computational Analysis of Gender Differences in Coping with Extreme Stressful Emotions.

Seyed Sahand Mohammadi Ziabari, Jan Treur

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018