Golnoosh Farnadi

121 papers A* 17A 1B 2C 1Journal 66Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can LLMs Cook Jamaican Couscous? A Study of Cultural Novelty in Recipe Generation. CoRR Florian Carichon, Romain Rampa, Golnoosh Farnadi
2026	J	`jnl`	Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes. CoRR Aly M. Kassem, Thomas Jiralerspong, Negar Rostamzadeh, Golnoosh Farnadi
2026	—	`conf`	Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs. EACL (Volume 1: Long Papers) Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2026	J	`jnl`	Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs. CoRR Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2026	J	`jnl`	Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models. CoRR Zhuan Shi, Alireza Dehghanpour Farashah, Rik de Vries, Golnoosh Farnadi
2026	—	`conf`	Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity. EACL (Volume 1: Long Papers) Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
2026	J	`jnl`	Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity. CoRR Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
2026	—	`conf`	Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework. EACL (Volume 1: Long Papers) Cléa Chataigner, Rebecca Ma, Prakhar Ganesh, Yuhao Chen, Afaf Taïk, Elliot Creager, Golnoosh Farnadi
2025	J	`jnl`	A Learning-Based Framework for Fair and Scalable Solution Generation in Kidney Exchange Problems. Trans. Mach. Learn. Res. William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
2025	J	`jnl`	Adaptation, comparison and practical implementation of fairness schemes in Kidney Exchange Programs. Eur. J. Oper. Res. William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
2025	J	`jnl`	Balancing Profit and Fairness in Risk-Based Pricing Markets. CoRR Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
2025	—	`conf`	Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. NAACL (Long Papers) Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie CK Cheung, Golnoosh Farnadi
2025	J	`jnl`	Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural Causal Model. Trans. Mach. Learn. Res. Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2025	—	`conf`	Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking Recipes. FAccT Florian Carichon, Romain Rampa, Golnoosh Farnadi
2025	J	`jnl`	Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking Recipes. CoRR Florian Carichon, Romain Rampa, Golnoosh Farnadi
2025	J	`jnl`	Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity. CoRR Prakhar Ganesh, Hsiang Hsu, Golnoosh Farnadi
2025	A*	`conf`	Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. AAAI Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2025	J	`jnl`	Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. CoRR Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2025	J	`jnl`	Differentially Private Clustered Federated Learning. Trans. Mach. Learn. Res. Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi
2025	—	`conf`	Embedding Cultural Diversity in Prototype-Based Recommender Systems. ECIR (1) Armin Moradi, Nicola Neophytou, Florian Carichon, Golnoosh Farnadi
2025	A*	`conf`	Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. AAAI Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taïk, Reihaneh Rabbany, Golnoosh Farnadi
2025	J	`jnl`	Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy. CoRR Khaoula Chehbouni, Martine De Cock, Gilles Caporossi, Afaf Taïk, Reihaneh Rabbany, Golnoosh Farnadi
2025	J	`jnl`	EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. CoRR Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine A. Heller, Mohammad Havaei, Negar Rostamzadeh
2025	J	`jnl`	Fairness in Federated Learning: Fairness for Whom? CoRR Afaf Taïk, Khaoula Chehbouni, Golnoosh Farnadi
2025	J	`jnl`	From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift. CoRR Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2025	—	`conf`	Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training. ACL (1) Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi
2025	J	`jnl`	Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models. CoRR Mina Arzaghi, Alireza Dehghanpour Farashah, Florian Carichon, Golnoosh Farnadi
2025	J	`jnl`	Neither Valid nor Reliable? Investigating the Use of LLMs as Judges. CoRR Khaoula Chehbouni, Mohammed Haddou, Jackie Chi Kit Cheung, Golnoosh Farnadi
2025	A*	`conf`	REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. EMNLP Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2025	J	`jnl`	Reasoning with Preference Constraints: A Benchmark for Language Models in Many-to-One Matching Markets. CoRR Marylou Fauchard, Florian Carichon, Margarida Carvalho, Golnoosh Farnadi
2025	J	`jnl`	Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. CoRR Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2025	J	`jnl`	Say It Another Way: Auditing LLMs with a User-Grounded Automated Paraphrasing Framework. CoRR Cléa Chataigner, Rebecca Ma, Prakhar Ganesh, Afaf Taïk, Elliot Creager, Golnoosh Farnadi
2025	J	`jnl`	The Coming Crisis of Multi-Agent Misalignment: AI Alignment Must Be a Dynamic and Social Process. CoRR Florian Carichon, Aditi Khandelwal, Marylou Fauchard, Golnoosh Farnadi
2025	J	`jnl`	The Curious Case of Arbitrariness in Machine Learning. CoRR Prakhar Ganesh, Afaf Taïk, Golnoosh Farnadi
2025	J	`jnl`	Towards More Realistic Extraction Attacks: An Adversarial Perspective. Trans. Assoc. Comput. Linguistics Yash More, Prakhar Ganesh, Golnoosh Farnadi
2025	J	`jnl`	Understanding the role of depth in the neural tangent kernel for overparameterized neural networks. CoRR William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
2025	J	`jnl`	Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness. CoRR Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2025	A*	`conf`	What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. ICLR Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A. Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2024	J	`jnl`	Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations. CoRR Armin Moradi, Nicola Neophytou, Golnoosh Farnadi
2024	—	`conf`	Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024. AFME Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024	A*	`conf`	Balancing Act: Constraining Disparate Impact in Sparse Models. ICLR Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
2024	J	`jnl`	Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset. CoRR Khaoula Chehbouni, Jonathan Colaço Carr, Yash More, Jackie C. K. Cheung, Golnoosh Farnadi
2024	A*	`conf`	Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. AAAI Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
2024	—	`conf`	Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML. AFME Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi
2024	J	`jnl`	Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML. CoRR Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi
2024	J	`jnl`	Embedding Cultural Diversity in Prototype-based Recommender Systems. CoRR Armin Moradi, Nicola Neophytou, Florian Carichon, Golnoosh Farnadi
2024	J	`jnl`	FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation. CoRR Rohan Sukumaran, Aarash Feizi, Adriana Romero-Soriano, Golnoosh Farnadi
2024	J	`jnl`	Fairness Incentives in Response to Unfair Dynamic Pricing. CoRR Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi
2024	—	`conf`	Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. ECIR (4) Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
2024	—	`conf`	From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. ACL (Findings) Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie Chi Kit Cheung, Golnoosh Farnadi
2024	J	`jnl`	From Representational Harms to Quality-of-Service Harms: A Case Study on Llama 2 Safety Safeguards. CoRR Khaoula Chehbouni, Megha Roshan, Emmanuel Ma, Futian Andrew Wei, Afaf Taïk, Jackie C. K. Cheung, Golnoosh Farnadi
2024	J	`jnl`	Hallucination Detox: Sensitive Neuron Dropout (SeND) for Large Language Model Training. CoRR Shahrad Mohammadzadeh, Juan David Guerra, Marco Bonizzato, Reihaneh Rabbany, Golnoosh Farnadi
2024	A*	`conf`	Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract). AAAI William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
2024	J	`jnl`	Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering. CoRR Saber Malekmohammadi, Afaf Taïk, Golnoosh Farnadi
2024	J	`jnl`	Multilingual Hallucination Gaps in Large Language Models. CoRR Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi
2024	—	`conf`	Multilingual Hallucination Gaps. AFME Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi
2024	J	`jnl`	On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy. CoRR Saber Malekmohammadi, Golnoosh Farnadi
2024	A*	`conf`	Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
2024	J	`jnl`	Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
2024	—	`conf`	Privacy-Preserving Group Fairness in Cross-Device Federated Learning. AFME Sikha Pentyala, Nicola Neophytou, Anderson Nascimento, Martine De Cock, Golnoosh Farnadi
2024	—	`ed.`	Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 14 December 2024, Vancouver Convention Center, Vancouver, Canada AFME Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024	J	`jnl`	Promoting Fair Vaccination Strategies Through Influence Maximization: A Case Study on COVID-19 Spread. CoRR Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi
2024	A*	`conf`	Promoting Fair Vaccination Strategies through Influence Maximization: A Case Study on COVID-19 Spread. AAAI Nicola Neophytou, Afaf Taïk, Golnoosh Farnadi
2024	J	`jnl`	Towards More Realistic Extraction Attacks: An Adversarial Perspective. CoRR Yash More, Prakhar Ganesh, Golnoosh Farnadi
2024	J	`jnl`	Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. CoRR Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi
2024	—	`conf`	Understanding Intrinsic Socioeconomic Biases in Large Language Models. AIES (1) Mina Arzaghi, Florian Carichon, Golnoosh Farnadi
2024	J	`jnl`	Understanding Intrinsic Socioeconomic Biases in Large Language Models. CoRR Mina Arzaghi, Florian Carichon, Golnoosh Farnadi
2024	J	`jnl`	Understanding the Local Geometry of Generative Model Manifolds. CoRR Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2024	A*	`conf`	Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness. NeurIPS Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2023	J	`jnl`	Balancing Act: Constraining Disparate Impact in Sparse Models. CoRR Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
2023	J	`jnl`	Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. CoRR Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
2023	J	`jnl`	Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. CoRR Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
2023	—	`conf`	FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. EAAMO Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
2023	J	`jnl`	Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery. CoRR Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
2023	—	`conf`	Privacy-Preserving Fair Item Ranking. ECIR (2) Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi
2023	J	`jnl`	Privacy-Preserving Fair Item Ranking. CoRR Jia Ao Sun, Sikha Pentyala, Martine De Cock, Golnoosh Farnadi
2023	—	`conf`	Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter. WebSci Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, Golnoosh Farnadi
2023	—	`conf`	Tidying Up the Conversational Recommender Systems' Biases. KaRS@RecSys Armin Moradi, Golnoosh Farnadi
2023	J	`jnl`	Tidying Up the Conversational Recommender Systems' Biases. CoRR Armin Moradi, Golnoosh Farnadi
2023	—	`conf`	Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. EAAMO Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi
2023	J	`jnl`	Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements. CoRR Maryam Molamohammadi, Afaf Taïk, Nicolas Le Roux, Golnoosh Farnadi
2022	J	`jnl`	A taxonomy of weight learning methods for statistical relational learning. Mach. Learn. Sriram Srinivasan, Charles Dickens, Eriq Augustine, Golnoosh Farnadi, Lise Getoor
2022	—	`conf`	Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022. AFCP Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022	—	`ed.`	Algorithmic Fairness through the Lens of Causality and Privacy Workshop, AFCP 2022, New Orleans, LA, USA (hybrid), 03 December 2022 AFCP Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022	J	`jnl`	Analyzing the Effect of Sampling in GNNs on Individual Fairness. CoRR Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
2022	J	`jnl`	FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks. CoRR Kiarash Mohammadi, Aishwarya Sivaraman, Golnoosh Farnadi
2022	J	`jnl`	PrivFair: a Library for Privacy-Preserving Fairness Auditing. CoRR Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi
2022	J	`jnl`	PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning. CoRR Sikha Pentyala, Nicola Neophytou, Anderson C. A. Nascimento, Martine De Cock, Golnoosh Farnadi
2021	—	`conf`	Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021. AFCR Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
2021	—	`ed.`	Algorithmic Fairness through the Lens of Causality and Robustness Workshop, AFCR 2021, virtual, December 13, 2021. AFCR Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
2021	A*	`conf`	Individual Fairness in Kidney Exchange Programs. AAAI Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho
2020	—	`conf`	A Unifying Framework for Fairness-Aware Influence Maximization. WWW (Companion Volume) Golnoosh Farnadi, Behrouz Babaki, Michel Gendreau
2020	A*	`conf`	BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic. AAAI Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
2020	A*	`conf`	Counterexample-Guided Learning of Monotonic Neural Networks. NeurIPS Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck
2020	J	`jnl`	Counterexample-Guided Learning of Monotonic Neural Networks. CoRR Aishwarya Sivaraman, Golnoosh Farnadi, Todd D. Millstein, Guy Van den Broeck
2020	A*	`conf`	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. AAAI YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
2020	J	`jnl`	User Profiling Using Hinge-loss Markov Random Fields. CoRR Golnoosh Farnadi, Lise Getoor, Marie-Francine Moens, Martine De Cock
2019	J	`jnl`	A Declarative Approach to Fairness in Relational Domains. IEEE Data Eng. Bull. Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2019	J	`jnl`	Compiling Stochastic Constraint Programs to And-Or Decision Diagrams. CoRR Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant
2019	J	`jnl`	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns. CoRR YooJung Choi, Golnoosh Farnadi, Behrouz Babaki, Guy Van den Broeck
2019	A*	`conf`	Lifted Hinge-Loss Markov Random Fields. AAAI Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor
2018	J	`jnl`	A Fairness-aware Hybrid Recommender System. CoRR Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson, Sriram Srinivasan, Lise Getoor
2018	C	`conf`	Fairness in Relational Domains. AIES Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2018	—	`conf`	Fairness-Aware Relational Learning and Inference. AAAI Workshops Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2018	J	`jnl`	Scalable Structure Learning for Probabilistic Soft Logic. CoRR Varun Embar, Dhanya Sridhar, Golnoosh Farnadi, Lise Getoor
2018	A*	`conf`	The Impact of Environmental Stressors on Human Trafficking. ICDM Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, Steven Minton
2018	A	`conf`	User Profiling through Deep Multimodal Fusion. WSDM Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens
2018	J	`jnl`	VirtualIdentity: Privacy-Preserving User Profiling. CoRR Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Rafael Dowsley, Anderson C. A. Nascimento, Martine De Cock
2017	J	`jnl`	Soft quantification in statistical relational learning. Mach. Learn. Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
2017	—	`—`	User Modeling in Social Media ; Gebruikersmodellen in sociale media. Golnoosh Farnadi
2016	J	`jnl`	Computational personality recognition in social media. User Model. User Adapt. Interact. Golnoosh Farnadi, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos, Marie-Francine Moens, Martine De Cock
2016	—	`conf`	Cross-Genre Age and Gender Identification in Social Media. CLEF (Working Notes) Anam Zahid, Aadarsh Sampath, Anindya Dey, Golnoosh Farnadi
2016	B	`conf`	VirtualIdentity: Privacy preserving user profiling. ASONAM Sisi Wang, Wing-Sea Poon, Golnoosh Farnadi, Caleb Horst, Kebra Thompson, Michael Nickels, Anderson C. A. Nascimento, Martine De Cock
2015	—	`conf`	Age, Gender and Personality Recognition using Tweets in a Multilingual setting: Notebook for PAN at CLEF 2015. CLEF (Working Notes) Mounica Arroju, Aftab Hassan, Golnoosh Farnadi
2015	—	`conf`	Scalable adaptive label propagation in Grappa. IEEE BigData Golnoosh Farnadi, Zeinab Mahdavifar, Ivan Keller, Jacob Nelson, Ankur Teredesai, Marie-Francine Moens, Martine De Cock
2015	A*	`conf`	Statistical Relational Learning Towards Modelling Social Media Users. IJCAI Golnoosh Farnadi
2015	B	`conf`	Statistical Relational Learning with Soft Quantifiers. ILP Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock
2014	—	`conf`	A Multivariate Regression Approach to Personality Impression Recognition of Vloggers. WCPR@MM Golnoosh Farnadi, Shanu Sushmita, Geetha Sitaraman, Nhat Ton, Martine De Cock, Sergio Davalos
2014	—	`conf`	Age and Gender Identification in Social Media. CLEF (Working Notes) James Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie-Francine Moens, Sergio Davalos, Ankur Teredesai, Martine De Cock
2014	—	`conf`	Extending PSL with Fuzzy Quantifiers. StarAI@AAAI Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock
2014	—	`conf`	How are you doing? Emotions and Personality in Facebook. UMAP Workshops Golnoosh Farnadi, Geetha Sitaraman, Mehrdad Rohani, Michal Kosinski, David Stillwell, Marie-Francine Moens, Sergio Davalos, Martine De Cock