activity
20192026
most citedExplanations of Black-Box Model Predictions by Contextual Importance and Utility

30 citations · 38 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CL2026

alkhder at AlexandriaX-2026: Context-Aware English-to-Dialectal Arabic Dialogue Translation with QLoRA-Fine-Tuned NileChat-3B

Hasan Alkhder, Maher Pasa, Maria Hanini +2

This paper describes team Alkhder's submission to Subtask 1 of the AlexandriaX-2026 shared task, which asks systems to translate English dialogue turns into thirteen Arabic dialect…

cs.CL2026

alkhder at ImageEval 2026 Shared Tasks: Constrained Selection and Rotation-Averaged Logit Scoring for Multimodal Hallucination Detection

Maher Pasa, Maria Hanini, Amro Najjar +1

We describe our submission to Subtask~1b of ImageEval 2026. The task consists of selecting the single visually valid statement from three candidates paired with an image, and is in…

cs.CL2026

Translation as a Decision Space: A Multi-Agent Perspective on Low-Resource Dialect Generation

Hasan Alkhder, Mohammad Abboush, Igor Tchappi +2

Neural machine translation (NMT) systems typically produce a single output per input, obscuring the alternative decision trajectories implicitly available within multilingual decod…

cs.IR2025

A Lay User Explainable Food Recommendation System Based on Hybrid Feature Importance Extraction and Large Language Models

Melissa Tessa, Diderot D. Cidjeu, Rachele Carli +4

Large Language Models (LLM) have experienced strong development in recent years, with varied applications. This paper uses LLMs to develop a post-hoc process that provides more ela…

cs.RO2021★ 5 cited

Rethinking Trust in Social Robotics

Rachele Carli, Amro Najjar

In 2018 the European Commission highlighted the demand of a human-centered approach to AI. Such a claim is gaining even more relevance considering technologies specifically designe…

cs.AI2020★ 30 cited

Explanations of Black-Box Model Predictions by Contextual Importance and Utility

Sule Anjomshoae, Kary Främling, Amro Najjar

The significant advances in autonomous systems together with an immensely wider application domain have increased the need for trustable intelligent systems. Explainable artificial…

cs.CY2020

Ethics of Food Recommender Applications

Daniel Karpati, Amro Najjar, Diego Agustin Ambrossio

The recent unprecedented popularity of food recommender applications has raised several issues related to the ethical, societal and legal implications of relying on these applicati…

cs.AI2019★ 3 cited

Towards Explainability for a Civilian UAV Fleet Management using an Agent-based Approach

Yazan Mualla, Amro Najjar, Timotheus Kampik +3

This paper presents an initial design concept and specification of a civilian Unmanned Aerial Vehicle (UAV) management simulation system that focuses on explainability for the huma…