Laleh Seyyed-Kalantari

25 papers A* 1Misc 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs. Trans. Mach. Learn. Res. Farnaz Kohankhaki, David Emerson, Jacob-Junqi Tian, Laleh Seyyed-Kalantari, Faiza Khan Khattak
2025	J	`jnl`	Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types. CoRR Chi-Yu Chen, Rawan Abulibdeh, Arash Asgari, Sebastián A. Cajas Ordóñez, Leo Anthony Celi, Deirdre Goode, Hassan Hamidi, Laleh Seyyed-Kalantari, Ned Mccague, Thomas Sounack, Po-Chih Kuo
2025	—	`conf`	Dialectic Preference Bias in Large Language Models. AAAI Spring Symposia Muhammad Furquan Hassan, Faiza Khan Khattak, Laleh Seyyed-Kalantari
2025	J	`jnl`	Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak. Artif. Intell. Medicine Zahra Movahedi Nia, Laleh Seyyed-Kalantari, Mary Goitom, Bruce Mellado, Ali Ahmadi, Ali Asgary, James Orbinski, Jianhong Wu, Jude Dzevela Kong
2025	J	`jnl`	MLHOps: Machine Learning Health Operations. IEEE Access Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloé Pou-Prom, Sedef Akinli Koçak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz
2025	—	`conf`	Representation Is All We Need: Performance and Fairness of Google X-ray Foundation Model Representations - A Preliminary Study. ICHI Gebreyowhans H. Bahre, Hassan Hamidi, Andrew B. Sellergren, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari
2025	J	`jnl`	Simulating Social Behavior of LLM-Based Autonomous Negotiator Agents in a Game-Theoretical Framework Using Multi-Agent Systems. Int. J. Hum. Comput. Interact. Ahmad Mouri Zadeh Khaki, Ahyoung Choi, Laleh Seyyed-Kalantari
2025	J	`jnl`	Underdiagnosis Bias Mitigation With Expert Foundation Model's Representation. IEEE Access Gebreyowhans H. Bahre, Hassan Hamidi, Andrew B. Sellergren, Alessandro Quarta, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari
2025	A*	`conf`	We Politely Insist: Your LLM Must Learn the Persian Art of Taarof. EMNLP Nikta Gohari Sadr, Sahar Heidariasl, Karine Megerdoomian, Laleh Seyyed-Kalantari, Ali Emami
2025	J	`jnl`	We Politely Insist: Your LLM Must Learn the Persian Art of Taarof. CoRR Nikta Gohari Sadr, Sahar Heidariasl, Karine Megerdoomian, Laleh Seyyed-Kalantari, Ali Emami
2024	—	`conf`	Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat
2024	J	`jnl`	The Impact of Unstated Norms in Bias Analysis of Language Models. CoRR Farnaz Kohankhaki, Jacob-Junqi Tian, David Emerson, Laleh Seyyed-Kalantari, Faiza Khan Khattak
2023	J	`jnl`	Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari
2023	J	`jnl`	Evaluating Knowledge Transfer in the Neural Network for Medical Images. IEEE Access Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
2023	J	`jnl`	MLHOps: Machine Learning for Healthcare Operations. CoRR Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz
2023	J	`jnl`	Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi
2023	J	`jnl`	Soft-prompt Tuning for Large Language Models to Evaluate Bias. CoRR Jacob-Junqi Tian, David Emerson, Sevil Zanjani Miyandoab, Deval Pandya, Laleh Seyyed-Kalantari, Faiza Khan Khattak
2023	J	`jnl`	Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo, Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo, Candace Makeda Moore, Ravi Parikh, Reva Schwartz, Dongxiao Zhu, Xiaoqian Wang, Yiye Zhang
2021	J	`jnl`	An Empirical Framework for Domain Generalization in Clinical Settings. CoRR Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
2021	—	`conf`	An empirical framework for domain generalization in clinical settings. CHIL Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
2021	Misc	`conf`	CheXclusion: Fairness gaps in deep chest X-ray classifiers. PSB Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi
2021	J	`jnl`	Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya
2020	J	`jnl`	CheXclusion: Fairness gaps in deep chest X-ray classifiers. CoRR Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Marzyeh Ghassemi
2020	J	`jnl`	Evaluating Knowledge Transfer In Neural Network for Medical Images. CoRR Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati, Elham Dolatabadi
2009	J	`jnl`	Detection, Identification and Tracking of Flying Objects in Three Dimensions Using Multistatic Radars. Int. J. Commun. Netw. Syst. Sci. Laleh Seyyed-Kalantari, Shahram Mohanna, Saeed Tavakoli

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.