26 citations · 45 across the 13 of their papers we have counts for
13 papers
QAS-QTNs: Curriculum Reinforcement Learning-Driven Quantum Architecture Search for Quantum Tensor Networks
Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia +1
Quantum Architecture Search (QAS) is an emerging field aimed at automating the design of quantum circuits for optimal performance. This paper introduces a novel QAS framework emplo…
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution
Siddhant Dutta, Nouhaila Innan, Khadijeh Najafi +2
Recent advancements in Single-Image Super-Resolution (SISR) using deep learning have significantly improved image restoration quality. However, the high computational cost of proce…
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia +2
The integration of fully homomorphic encryption (FHE) in federated learning (FL) has led to significant advances in data privacy. However, during the aggregation phase, it often re…
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
Saloua Zammali, Siddhant Dutta, Sadok Ben Yahia
In the field of Recommender Systems (RS), neural collaborative filtering represents a significant milestone by combining matrix factorization and deep neural networks to achieve pr…
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
Siddhant Dutta, Pavana P Karanth, Pedro Maciel Xavier +5
The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federate…
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling
Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia +1
The growing computational demands of artificial intelligence (AI) in addressing climate change raise significant concerns about inefficiencies and environmental impact, as highligh…
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction
Siddhant Dutta, Nouhaila Innan, Alberto Marchisio +2
Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement l…
A Random Walk Approach for Simulation-Based Continuous Dynamic Traffic Assignment
Kaveh Khoshkhah, Mozhgan Pourmoradnasseri, Sadok Ben Yahia +1
This paper presents a new simulation-based approach to address the stochastic Dynamic Traffic Assignment (DTA) problem, focusing on large congested networks and dynamic settings. T…
Accurate prediction of international trade flows: Leveraging knowledge graphs and their embeddings
Diego Rincon-Yanez, Chahinez Ounoughi, Bassem Sellami +4
Knowledge representation (KR) is vital in designing symbolic notations to represent real-world facts and facilitate automated decision-making tasks. Knowledge graphs (KGs) have eme…
Contributions to the Formalization and Extraction of Generic Bases of Association Rules
Sadok Ben Yahia
In this thesis, a detailed study shows that closed itemsets and minimal generators play a key role for concisely representing both frequent itemsets and association rules. These it…
Efficient construction of the lattice of frequent closed patterns and simultaneous extraction of generic bases of rules
Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu Nguifo
In the last few years, the amount of collected data, in various computer science applications, has grown considerably. These large volumes of data need to be analyzed in order to e…
Nouvelle approche de recommandation personnalisee dans les folksonomies basee sur le profil des utilisateurs
Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo
In folksonomies, users use to share objects (movies, books, bookmarks, etc.) by annotating them with a set of tags of their own choice. With the rise of the Web 2.0 age, users beco…
A scalable mining of frequent quadratic concepts in d-folksonomies
Mohamed Nader Jelassi, Sadok Ben Yahia, Engelbert Mephu Nguifo
Folksonomy mining is grasping the interest of web 2.0 community since it represents the core data of social resource sharing systems. However, a scrutiny of the related works inter…