An ideal point based many-objective optimization for community detection of complex networks von Tahmasebi, Sahar, Moradi, Parham, Ghodsi, Siamak, Abdollahpouri, Alireza

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Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering von Ghodsi, Siamak, Seyedi, Seyed Amjad, Ntoutsi, Eirini

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Policy advice and best practices on bias and fairness in AI von Alvarez, Jose M., Colmenarejo, Alejandra Bringas, Elobaid, Alaa, Fabbrizzi, Simone, Fahimi, Miriam, Ferrara, Antonio, Ghodsi, Siamak, Mougan, Carlos, Papageorgiou, Ioanna, Reyero, Paula, Russo, Mayra, Scott, Kristen M., State, Laura, Zhao, Xuan, Ruggieri, Salvatore

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Policy advice and best practices on bias and fairness in AI von Alvarez, Jose M, Colmenarejo, Alejandra Bringas, Elobaid, Alaa, Fabbrizzi, Simone, Fahimi, Miriam, Ferrara, Antonio, Ghodsi, Siamak, Mougan, Carlos, Papageorgiou, Ioanna, Reyero, Paula, Russo, Mayra, Scott, Kristen M, State, Laura, Zhao, Xuan, Ruggieri, Salvatore

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Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy von Ghodsi, Siamak, Ntoutsi, Eirini

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Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering von Ghodsi, Siamak, Seyedi, Seyed Amjad, Ntoutsi, Eirini

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Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy von Ghodsi, Siamak, Ntoutsi, Eirini

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Context matters for fairness -- a case study on the effect of spatial distribution shifts von Ghodsi, Siamak, Alani, Harith, Ntoutsi, Eirini

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Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation von Zhao, Xuan, Fabbrizzi, Simone, Lobo, Paula Reyero, Ghodsi, Siamak, Broelemann, Klaus, Staab, Steffen, Kasneci, Gjergji

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Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering von Ghodsi, Siamak, Seyed Amjad Seyedi, Ntoutsi, Eirini

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Context matters for fairness -- a case study on the effect of spatial distribution shifts von Ghodsi, Siamak, Alani, Harith, Ntoutsi, Eirini

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Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation von Zhao, Xuan, Fabbrizzi, Simone, Paula Reyero Lobo, Ghodsi, Siamak, Broelemann, Klaus, Staab, Steffen, Kasneci, Gjergji

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Self-Paced Multi-Label Learning with Diversity von Seyedi, Seyed Amjad, Ghodsi, S. Siamak, Akhlaghian, Fardin, Jalili, Mahdi, Moradi, Parham

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Self-Paced Multi-Label Learning with Diversity von Seyed Amjad Seyedi, Ghodsi, S Siamak, Akhlaghian, Fardin, Jalili, Mahdi, Moradi, Parham

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Developing a stochastic conflict resolution model for urban runoff quality management: Application of info-gap and bargaining theories von Ghodsi, Seyed Hamed, Kerachian, Reza, Estalaki, Siamak Malakpour, Nikoo, Mohammad Reza, Zahmatkesh, Zahra

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Porous graphene oxide nanostructure as an excellent scaffold for label-free electrochemical biosensor: Detection of cardiac troponin I von Kazemi, Sayed Habib, Ghodsi, Elham, Abdollahi, Siamak, Nadri, Samad

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An Overview of the Running Performance of Athletes with Lower-Limb Amputation at the Paralympic Games 2004–2012 von Hassani, Hossein, Ghodsi, Mansi, Shadi, Mehran, Noroozi, Siamak, Dyer, Bryce

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A Statistical Perspective on Running with Prosthetic Lower-Limbs: An Advantage or Disadvantage? von Hassani, Hossein, Ghodsi, Mansi, Shadi, Mehran, Noroozi, Siamak, Dyer, Bryce

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Achievement of optimal aluminum flake orientation by the use of special cubic experimental design von Karbasi, Ali, Moradian, Siamak, Tahmassebi, Nargess, Ghodsi, Payam

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