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Aria Nourbakhsh

Evaluating Explainable Machine Learning Models for Clinicians
2024 · Noemi Scarpato, Aria Nourbakhsh, et al. · Cognitive Computation · 16
Fine-Tuning a Large Language Model with Reinforcement Learning for Educational Question Generation
2024 · Salima Lamsiyah, Abdelkader El Mahdaouy, et al. · Lecture notes in computer science · 11
sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection
2019 · Aria Nourbakhsh, Frida Vermeer, et al. · International Workshop on Semantic Evaluation (SemEval) · 11
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The Dark Side of the Language: Pre-trained Transformers in the DarkNet
2023 · Leonardo Ranaldi, Aria Nourbakhsh, et al. · International conference Recent advances in natural language processing · 6
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Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients
2024 · Noemi Scarpato, Silvia Riondino, et al. · Expert Systems with Applications · 4
Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI
2025 · Salima Lamsiyah, Aria Nourbakhsh, et al. · Lecture notes in computer science · 3
Feature Generation Using LLMs: An Evolutionary Algorithm Approach
2025 · Aria Nourbakhsh, Benoît Alcaraz, et al. · Communications in computer and information science · 2
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Persian Pronoun Resolution Using Data Driven Approaches
2017 · Aria Nourbakhsh, Mohammad Bahrani · Communications in computer and information science · 2
Quantifying the Overlap: Attribution Maps and Linguistic Heuristics in Encoder-Decoder Machine Translation Models
2025 · Aria Nourbakhsh, Salima Lamsiyah, et al. · International conference Recent advances in natural language processing · 1
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The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences
2023 · Dario Onorati, Leonardo Ranaldi, et al. · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · 1
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Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers
2019 · María Andrea Cruz Blandón, Gosse Minnema, et al. · Linguistic Annotation Workshop · 1
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From Error Prediction to Causal Influence: Auditing SAE Features in Multiple-Choice QA
2026 · Nourbakhsh, Aria, Danilov, Adelaide, et al. · arXiv (Cornell University)
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Sparse Autoencoders for Mechanistic Interpretability in NLP: A Critical Survey of Recoverability, Interpretability, and Utility
2026 · Lamsiyah, Salima, Danilov, Adelaide, et al. · arXiv (Cornell University)
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"Many Are My Names": The Anatomy of the Assistant and Its Personas via Sparse Autoencoders
2026 · Danilov, Adelaide, Nourbakhsh, Aria, et al. · arXiv (Cornell University)
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Artificial intelligence perceives marginal gains from MHC class I haplotype data in antigen presentation predictions
2026 · Fabio Massimo Zanzotto, Michele Mastromattei, et al. · npj Systems Biology and Applications
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CSULoRA: Closest Safe Update Low-Rank Adaptation
2026 · Breneur, Oleksandr Marchenko, Danilov, Adelaide, et al. · arXiv (Cornell University)
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Evaluating explainable AI attribution methods in neural machine translation via attention-guided knowledge distillation
2026 · Aria Nourbakhsh, Salima Lamsiyah, et al. · Natural language processing.
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AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
2026 · Nourbakhsh, Aria, Danilov, Adelaide, et al. · arXiv (Cornell University)
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Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation
2026 · Nourbakhsh, Aria, Lamsiyah, Salima, et al. · arXiv (Cornell University)
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NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
2026 · Breneur, Oleksandr Marchenko, Danilov, Adelaide, et al. · arXiv (Cornell University)
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Hidden in Plain Pixels: Deep Learning and Dynamic Encryption for Secure Image and Text Steganography
2026 · Naman Sharma, Christoph Schommer, et al. · International Conference on Agents and Artificial Intelligence (ICAART)
Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection
2026 · Adelaide Danilov, Aria Nourbakhsh, et al. · International Conference on Agents and Artificial Intelligence (ICAART)
AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection
2026 · Nourbakhsh, Aria, Danilov, Adelaide, et al.
NotAI.AI: An Interactive Explainable System for AI-Generated Text Detection
2026 · Oleksandr Marchenko Breneur, Adelaide Danilov, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
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Assessing the Robustness of LLMs in Predicting Supports and Attacks
2025 · Benoît Alcaraz, Aria Nourbakhsh, et al. · Communications in computer and information science
Works count: 29
Citation count: 58
H-index: 4
I10-index: 3
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