Aria Nourbakhsh

Oleksandr Marchenko Breneur

CoRR, May, 2026

Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, March, 2026

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution.

[BibT_eX]

[DOI]

Adelaide Danilov

CoRR, March, 2026

Hidden in Plain Pixels: Deep Learning and Dynamic Encryption for Secure Image and Text Steganography.

[BibT_eX]

[DOI]

Naman Sharma

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection.

[BibT_eX]

[DOI]

Adelaide Danilov

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Quantifying the Overlap: Attribution Maps and Linguistic Heuristics in Encoder-Decoder Machine Translation Models.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

Trust but Verify: A Comprehensive Survey of Faithfulness Evaluation Methods in Abstractive Text Summarization.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

Privacy-Preserving Federated Learning for Student Dropout Prediction: Enhancing Model Transparency with Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Evaluating Explainable Machine Learning Models for Clinicians.

[BibT_eX]

[DOI]

Cogn. Comput., July, 2024

Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Feature Generation Using LLMs: An Evolutionary Algorithm Approach.

[BibT_eX]

[DOI]

Benoît Alcaraz

Proceedings of the Advances in Explainability, Agents, and Large Language Models, 2024

Assessing the Robustness of LLMs in Predicting Supports and Attacks.

[BibT_eX]

[DOI]

Benoît Alcaraz

Liuwen Yu

Proceedings of the Advances in Explainability, Agents, and Large Language Models, 2024

Fine-Tuning a Large Language Model with Reinforcement Learning for Educational Question Generation.

[BibT_eX]

[DOI]

Abdelkader El Mahdaouy

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

The Dark Side of the Language: Pre-trained Transformers in the DarkNet.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2022

The Dark Side of the Language: Pre-trained Transformers in the DarkNet.

[BibT_eX]

[DOI]

CoRR, 2022

C-OSINT: COVID-19 Open Source Artificial INTelligence Framework.

[BibT_eX]

[DOI]

Leonardo Ranaldi

Francesca Fallucchid

María Andrea Cruz Blandón

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

2019

sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection.

[BibT_eX]

[DOI]

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers.

[BibT_eX]

[DOI]

Proceedings of the 13th Linguistic Annotation Workshop, 2019

2017

Persian Pronoun Resolution Using Data Driven Approaches.

[BibT_eX]

[DOI]