Comparison of Recently Developed Single-Bit All-Digital Frequency Synthesizers in Terms of Hardware Complexity and Performance. - Charis Basetas; Nikos Temenos; Paul P. Sotiriadis (ISCAS, 2018)

An Efficient Hardware Architecture for the Implementation of Multi-Step Look-Ahead Sigma-Delta Modulators. - Charis Basetas; Nikos Temenos; Paul P. Sotiriadis (ISCAS, 2018)

Hardware optimization methodology of multi-step look-ahead sigma-delta modulators. - Nikos Temenos; Charis Basetas; Paul P. Sotiriadis (MOCAST, 2018)

A New Technique for Stochastic Division in Unipolar Format. - Nikos Temenos; Paul P. Sotiriadis (MOCAST, 2019)

Deterministic Finite State Machines for Stochastic Division in Unipolar Format. - Nikos Temenos; Paul P. Sotiriadis (ISCAS, 2020)

Exploring the Effectiveness of Sigma-Delta Modulators in Stochastic Computing-Based FIR Filtering. - Anastasios Vlachos; Nikos Temenos; Paul P. Sotiriadis (MOCAST, 2021)

Building Extraction from RGB Satellite Images using Deep Learning: A U-Net Approach. - Anastasios Temenos; Eftychios Protopapadakis; Anastasios D. Doulamis; Nikos Temenos (PETRA, 2021)

Nonscaling Adders and Subtracters for Stochastic Computing Using Markov Chains. - Nikos Temenos; Paul P. Sotiriadis (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Stochastic Computing Max & Min Architectures Using Markov Chains: Design, Analysis, and Implementation. - Nikos Temenos; Paul P. Sotiriadis (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Compact MAX and MIN Stochastic Computing architectures. - Paul P. Sotiriadis; Nikos Temenos (Integr., 2022)

Modeling a Stochastic Computing Nonscaling Adder and its Application in Image Sharpening. - Nikos Temenos; Paul P. Sotiriadis (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Multi-Spectral Band Selection and Spatial Explanations Using XAI Algorithms in Remote Sensing Applications. - Anastasios Temenos; Nikos Temenos; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis (IGARSS, 2023)

Time-based Memristor Crossbar Array Programming for Stochastic Computing Parallel Sequence Generation. - Nikos Temenos; Vasileios G. Ntinas; Paul P. Sotiriadis; Georgios Ch. Sirakoulis (ISCAS, 2023)

Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP. - Anastasios Temenos; Nikos Temenos; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (IEEE Geosci. Remote. Sens. Lett., 2023)

A Stochastic Computing Sigma-Delta Adder Architecture for Efficient Neural Network Design. - Nikos Temenos; Paul P. Sotiriadis (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

A Markov Chain Framework for Modeling the Statistical Properties of Stochastic Computing Finite-State Machines. - Nikos Temenos; Paul P. Sotiriadis (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices. - Sotirios Athanasoulias; Stavros Sykiotis; Nikos Temenos; Anastasios Doulamis; Nikolaos Doulamis (ICASSP Workshops, 2024)

Identifying False Negative Flood Events Using Interpretable Deep Learning Framework. - Anastasios Temenos; Nikos Temenos; Ioannis Rallis; Margarita Skamantzari; Anastasios Doulamis; Nikolaos Doulamis (IGARSS, 2024)

Zeekflow+: A Deep LSTM Autoencoder with Integrated Random Forest Classifier for Binary and Multi-class Classification in Network Traffic Data. - Emmanouil Arapidis; Nikos Temenos; Dimitris Giagkos; Ioannis Rallis; Dimitris Kalogeras; Nikolaos Papadakis; Antonis Litke; Sotirios Messinis (PETRA, 2024)

Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review. - Sotiris Messinis; Nikos Temenos; Nicholas E. Protonotarios; Ioannis Rallis; Dimitrios Kalogeras; Nikolaos Doulamis (Comput. Biol. Medicine, 2024)

UAVINE-XAI: eXplainable AI-Based Spectral Band Selection for Vineyard Monitroting Using UAV Hyperspectral Data. - Olympia Kourounioti; Anastasios Temenos; Nikos Temenos; Emmanouil Oikonomou; Anastasios Doulamis; Nikolaos Doulamis (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

BauXAIte: An Explainable AI Framework for UAV Multisensor-Driven Bauxite Stockpile Mapping and Classification. - Anastasios Temenos; Nikos Temenos; Margarita Skamantzari; Anastasios Doulamis; Nikolaos Doulamis; Efthymios Daradimos; Nikolaos Christoforou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)