output
20152026
most citedBlockchain-based Recommender Systems: Applications, Challenges and Future Opportunities

102 citations

45 papers

cs.DM2026

A Class of Multiparameter Signless Stirling Numbers of the First Kind and their -Analogues

Violetta E. Piperigou, Malvina G. Vamvakari

In this work, we provide a probabilistic derivation of a class of multiparameter signless Stirling numbers of the first kind and their q-analogues, and study the associated multiva…

cs.NI2026★ 6 cited

A Survey on AI for 6G: Challenges and Opportunities

Constantina Chatzieleftheriou, Eirini Liotou

As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in…

cs.PL2025★ 2 cited

The Power of Negation in Higher-Order Datalog

Angelos Charalambidis, Babis Kostopoulos, Christos Nomikos +1

We investigate the expressive power of Higher-Order Datalog under both the well-founded and the stable model semantics, establishing tight connections with complexity classe…

cs.LG2025★ 7 cited

MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators

Vasileios Leon, Georgios Makris, Sotirios Xydis +2

Nowadays, the rapid growth of Deep Neural Network (DNN) architectures has established them as the defacto approach for providing advanced Machine Learning tasks with excellent accu…

cs.AI2025★ 6 cited

Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)

Gavin Farrell, Eleni Adamidi, Rafael Andrade Buono +27

Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an…

cs.AI2025★ 6 cited

Towards Conversational AI for Human-Machine Collaborative MLOps

George Fatouros, Georgios Makridis, George Kousiouris +3

This paper presents a Large Language Model (LLM) based conversational agent system designed to enhance human-machine collaboration in Machine Learning Operations (MLOps). We introd…