Vassilis Alimisis

49 papers C 2Journal 10Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Power and Area Efficient Analog Classifier for Electrical Impedance Tomography Applications.
Circuits Syst. Signal Process.
Vassilis Alimisis, Vasileios Moustakas, Konstantinos Cheliotis, Christos Dimas, Paul P. Sotiriadis
2025 — conf
A Cuff-Less Blood Pressure Estimation System Based on Low-Power Analog Integrated Neural Network.
MOCAST
Vassilis Alimisis, Anna Mylona, Konstantinos Cheliotis, Vasileios Moustakas, Zisis Foufas, Paul P. Sotiriadis
2025 — conf
A Low-Power Analog Hardware Nearest Centroid Classifier for Glioma Brain Tumor Classification.
PRIME
Konstantinos Cheliotis, Vassilis Alimisis, Vasileios Moustakas, Anna Mylona, Paul P. Sotiriadis
2025 C conf
A Low-Power Analog Hardware Sigmoid-based Neural Network for Biomedical Applications.
ISCAS
Vassilis Alimisis, Christos Dimas, Andreas Papathanasiou, Paul P. Sotiriadis
2025 — conf
A Low-Power Analog Integrated Decision Tree Classifier Architecture for Apnea-Ecg Detection.
ICECS
Vassilis Alimisis, Konstantinos Cheliotis, Anna Mylona, Vasileios Moustakas, Paul P. Sotiriadis
2025 — conf
A Low-Power Analog Integrated Decision Tree Classifier for Laryngeal Voice Disorder Detection.
NewCAS
Konstantinos Cheliotis, Vassilis Alimisis, Vasileios Moustakas, Andreas Papathanasiou, Paul P. Sotiriadis
2025 — conf
A Low-Power Analog Integrated Decision Tree for Diabetic Retinopathy Detection.
MOCAST
Vasileios Moustakas, Vassilis Alimisis, Zisis Foufas, Konstantinos Cheliotis, Anna Mylona, Paul P. Sotiriadis
2025 — conf
A Low-Power Analog Integrated Gaussian Function Circuit Using Source Degeneration and Adaptive Bulk Biasing for Forest Fire Prediction.
PRIME
Vasileios Moustakas, Vassilis Alimisis, Konstantinos Cheliotis, Anna Mylona, Paul P. Sotiriadis
2025 — conf
A Low-Power Analog Integrated Gaussian Function Circuit Using Source Degeneration and Bulk Biasing for ML Applications.
NewCAS
Vasileios Moustakas, Vassilis Alimisis, Konstantinos Cheliotis, Andreas Papathanasiou, Paul P. Sotiriadis
2025 — conf
A Power-Efficient Analog Integrated Decision Tree Classifier for Dementia Prediction.
PRIME
Anna Mylona, Vassilis Alimisis, Konstantinos Cheliotis, Vasileios Moustakas, Paul P. Sotiriadis
2025 — conf
A Power-Efficient Analog Integrated Decision Tree Classifier for Machine Predictive Maintenance Classification.
SMACD
Vassilis Alimisis, Konstantinos Cheliotis, Vasileios Moustakas, Anna Mylona, Zisis Foufas, Paul P. Sotiriadis
2025 — conf
A Power-Efficient Analog Integrated K-means Classifier Architecture for Brain Stroke Prediction.
ICECS
Vassilis Alimisis, Konstantinos Cheliotis, Anna Mylona, Vasileios Moustakas, Paul P. Sotiriadis
2025 — conf
An Analog Hardware Squarer-Based Edge Detector for Breast Cancer.
ICECS
Anna Mylona, Vassilis Alimisis, Paul P. Sotiriadis
2025 — conf
An Energy-Efficient Analog Integrated Neural Network for Cirrhosis Patient Survival Prediction.
SMACD
Konstantinos Cheliotis, Vassilis Alimisis, Vasileios Moustakas, Zisis Foufas, Anna Mylona, Paul P. Sotiriadis
2025 J jnl
Design of a Low-Power Analog Integrated Deep Convolutional Neural Network.
IEEE Trans. Very Large Scale Integr. Syst.
Zisis Foufas, Vassilis Alimisis, Paul P. Sotiriadis
2025 J jnl
Low-Power Analog Integrated Architecture of the Voting Classification Algorithm for Diabetes Disease Prediction.
IEEE Trans. Biomed. Circuits Syst.
Vassilis Alimisis, Charis Aletraris, Nikolaos P. Eleftheriou, Emmanouil Anastasios Serlis, Alex James, Paul P. Sotiriadis
2025 — conf
Low-Power ECG Anomaly Detector Using an Area-Efficient Artificial Neural Network.
SOCC
Vassilis Alimisis, Anna Mylona, Konstantinos Cheliotis, Vasileios Moustakas, Christos Dimas, Paul P. Sotiriadis
2025 J jnl
Nonlinear Analysis of Differential LC Oscillators and Injection Locked Frequency Dividers.
IEEE Open J. Circuits Syst.
Konstantinos Metaxas, Vassilis Alimisis, Costas Oustoglou, Yannis Kominis, Paul P. Sotiriadis
2024 — conf
A Low-Power Analog Integrated Artificial Neural Networks for Electrical Impedance Tomography Stroke Classification.
ICM
Vassilis Alimisis, Christos Dimas, Andreas Papathanasiou, Savvas Leventikidis, Paul P. Sotiriadis
2024 — conf
A Memristor-Equivalent Analog Integrated Neural Network for Air Quality Classification.
MOCAST
Vassilis Alimisis, Andreas Papathanasiou, Konstantinos Cheliotis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis
2024 — conf
A Moment-Based Weighted Block Sparse Bayesian Learning Approach for Simultaneous Dual-Layer Lung Electrical Impedance Tomography.
ISBI
Christos Dimas, Vassilis Alimisis, Nikolaos K. Uzunoglu, Paul P. Sotiriadis
2024 — conf
A Power-Efficient, Analog Integrated, Sigmoid-Based Edge Detector.
ICM
Vassilis Alimisis, Christos Dimas, Paul P. Sotiriadis
2024 — conf
A Precise, Power-Efficient, Analog-Hardware Edge Detector for Biomedical Imaging.
ISBI
Vassilis Alimisis, Argyro Kamperi, Georgios Gennis, Paul P. Sotiriadis
2024 J jnl
A Radar-Based System for Detection of Human Fall Utilizing Analog Hardware Architectures of Decision Tree Model.
IEEE Open J. Circuits Syst.
Vassilis Alimisis, Dimitrios G. Arnaoutoglou, Emmanouil Anastasios Serlis, Argyro Kamperi, Konstantinos Metaxas, George A. Kyriacou, Paul P. Sotiriadis
2024 — conf
A Robot Execution Failures Classification System Based on Analog IC Neural Networks.
PRIME
Vassilis Alimisis, Charis Aletraris, Andreas Papathanasiou, Paul P. Sotiriadis
2024 J jnl
Advances in Electrical Impedance Tomography Inverse Problem Solution Methods: From Traditional Regularization to Deep Learning.
IEEE Access
Christos Dimas, Vassilis Alimisis, Nikolaos K. Uzunoglu, Paul P. Sotiriadis
2024 — conf
An Analog Classifier for Liver Disorders based on Centroid Machine Learning Model.
MOCAST
Vassilis Alimisis, Andreas Papathanasiou, Konstantinos Cheliotis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis
2024 — conf
An Analog Integrated Relu-based Neural Networks for Water Quality Classification.
ICM
Vassilis Alimisis, Christos Dimas, Andreas Papathanasiou, Paul P. Sotiriadis
2024 — conf
An Analog Neural Network for Estimating Sea State or Wave Height from Inertial Sensor Data.
AICAS
Vassilis Alimisis, Andreas Papathanasiou, Georgios Georgousis, Paul P. Sotiriadis
2024 — conf
Low-Power Single-Stage Programmable CMOS LNA for Ku-Band Applications.
MOCAST
Nikolaos P. Eleftheriou, Vassilis Alimisis, Paul P. Sotiriadis
2024 J jnl
Power-Efficient Analog Hardware Architecture of the Learning Vector Quantization Algorithm for Brain Tumor Classification.
IEEE Trans. Very Large Scale Integr. Syst.
Vassilis Alimisis, Emmanouil Anastasios Serlis, Andreas Papathanasiou, Nikolaos P. Eleftheriou, Paul P. Sotiriadis
2023 — conf
A Low-Power Analog Integrated Deep Spatio-Temporal Inference Network with Application to Digit Classification.
ICM
Vassilis Alimisis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis
2023 — conf
A Low-Power Analog Integrated Gaussian-based Neural Network Classifier with Application to Hepatitis Disease Recognition.
ICM
Vassilis Alimisis, Nikolaos P. Eleftheriou, Paul P. Sotiriadis
2023 J jnl
A Low-Power Analog Integrated Implementation of the Support Vector Machine Algorithm with On-Chip Learning Tested on a Bearing Fault Application.
Sensors
Vassilis Alimisis, Georgios Gennis, Marios Gourdouparis, Christos Dimas, Paul P. Sotiriadis
2023 — conf
An Analog Integrated, Low-Power, Area-Efficient, Gilbert, Modulo-based Classifier with Application to Lung-Cancer Classification.
ICM
Vassilis Alimisis, Nikolaos P. Eleftheriou, Savvas Leventikidis, Paul P. Sotiriadis
2023 — conf
An Area-Efficient, Analog Integrated Image Edge Detector based on the Robert's Cross Operator.
MOCAST
Georgios Gennis, Argyro Kamperi, Vassilis Alimisis, Christos Dimas, Paul P. Sotiriadis
2022 — conf
An Analog, Low-Power Threshold Classifier tested on a Bank Note Authentication Dataset.
ICM
Vassilis Alimisis, Georgios Gennis, Errikos Tsouvalas, Christos Dimas, Paul P. Sotiriadis
2022 C conf
Electrical Impedance Tomography using a Weighted Bound-Optimization Block Sparse Bayesian Learning Approach.
BIBE
Christos Dimas, Vassilis Alimisis, Paul P. Sotiriadis
2022 J jnl
Gaussian Mixture Model classifier analog integrated low-power implementation with applications in fault management detection.
Microelectron. J.
Vassilis Alimisis, Georgios Gennis, Konstantinos Touloupas, Christos Dimas, Marios Gourdouparis, Paul P. Sotiriadis
2021 — conf
An Analog Bayesian Classifier Implementation, for Thyroid Disease Detection, based on a Low-Power, Current-Mode Gaussian Function Circuit.
ICM
Vassilis Alimisis, Georgios Gennis, Christos Dimas, Paul P. Sotiriadis
2021 J jnl
An intermodulation distortion estimation method for linear CMOS circuits.
Int. J. Circuit Theory Appl.
Dimitrios Baxevanakis, Vassilis Alimisis, Paul P. Sotiriadis
2021 — conf
Ultra-Low Power, Low-Voltage, Fully-Tunable, Bulk-Controlled Bump Circuit.
MOCAST
Vassilis Alimisis, Marios Gourdouparis, Christos Dimas, Paul P. Sotiriadis
2020 — conf
Analogue Realization of Fractional-Order Healthy and Cancerous Lung Cell Models for Electrical Impedance Spectroscopy.
ICM
Vassilis Alimisis, Christos Dimas, Paul P. Sotiriadis
2020 — conf
Analogue Realization of a Fully Tunable Fractional-Order PID Controller for a DC Motor.
ICM
Georgios Pappas, Vassilis Alimisis, Christos Dimas, Paul P. Sotiriadis
2020 — conf
Fractional-Order Instrumentation Amplifier Transfer Function for Control Applications.
SBCCI
Vassilis Alimisis, Georgios Pappas, Paul P. Sotiriadis
2020 — conf
Implementation of Fractional-order Model of Nickel-Cadmium Cell using Current Feedback Operational Amplifiers.
ECCTD
Vassilis Alimisis, Marios Gourdouparis, Christos Dimas, Paul P. Sotiriadis
2020 — conf
SPICE and MATLAB simulation and evaluation of Electrical Impedance Tomography readout chain using phantom equivalents.
ECCTD
Christos Dimas, Vassilis Alimisis, Paul P. Sotiriadis
2019 — conf
Electronically Tunable Implementation of the Arterial Viscoelasticity Model.
TSP
Vassilis Alimisis, Panagiotis Bertsias, Costas Psychalinos, Ahmed S. Elwakil
2018 — conf
Design of a Generalized Fractional-Order PID Controller Using Operational Amplifiers.
ICECS
Emmanuel A. Gonzalez, Vassilis Alimisis, Costas Psychalinos, Aleksei Tepljakov