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Ioannis Kouretas
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2020 – today
- 2025
[j8]Anastasios G. Skrivanos
, Ioannis Kouretas
, Spyridon K. Chronopoulos
, Vasilis Christofilakis
, Nikos C. Sagias
, Kostas P. Peppas
:
A Machine Learning-Based Heart Disease Detection Scheme for Predicting Spontaneous Termination of Atrial Fibrillation. IEEE Access 13: 196374-196387 (2025)
[j7]Constantinos Efstathiou, Ioannis Kouretas
, Paris Kitsos
, George Theodoridis:
Efficient Majority Logic Parallel-Prefix Adder Design. IEEE Access 13: 205753-205763 (2025)
[c35]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani Saleh, Thanos Stouraitis:
A Mixed-Precision RNS DNN Accelerator. ISCAS 2025: 1-5
[c34]Constantinos Efstathiou, Ioannis Kouretas, Paris Kitsos:
Efficient Majority Logic Modulo 2n-1 Adder Design. ISVLSI 2025: 1-6- 2024
[j6]Vasilis Sakellariou
, Vassilis Paliouras
, Ioannis Kouretas
, Hani Saleh
, Thanos Stouraitis
:
A Multiplier-Free RNS-Based CNN Accelerator Exploiting Bit-Level Sparsity. IEEE Trans. Emerg. Top. Comput. 12(2): 667-683 (2024)
[c33]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani Saleh, Thanos Stouraitis:
An end-to-end RNS CNN Accelerator. AICAS 2024: 75-79- 2023
[j5]Constantinos Efstathiou, Ioannis Kouretas, Paris Kitsos:
On the modulo 2n+1 addition and subtraction for weighted operands. Microprocess. Microsystems 101: 104897 (2023)
[c32]Ioannis Kouretas, Vassilis Paliouras
, Thanos Stouraitis:
Modified Logarithmic Multiplication Approximation for Machine Learning. AICAS 2023: 1-5
[c31]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani Saleh, Thanos Stouraitis:
A multiplier-Free RNS-Based CNN accelerator exploiting bit-Level sparsity. ARITH 2023: 101
[c30]Emmanouil Kavvousanos, Vasilis Sakellariou, Ioannis Kouretas, Vassilis Paliouras, Thanos Stouraitis:
Improving Residue-Level Sparsity in RNS-based Neural Network Hardware Accelerators via Regularization. ARITH 2023: 102-109
[c29]Emmanouil Kavvousanos, Ioannis Kouretas, Vassilis Paliouras, Thanos Stouraitis:
A Regularization Approach to Maximize Common Sub-Expressions in Neural Network Weights. ICECS 2023: 1-4- 2022
[j4]Anastasios G. Skrivanos, Evangelia I. Kosma, Spyridon K. Chronopoulos
, Ioannis Kouretas
, Dimitrios Dimopoulos
, Georgios Petrakos, Elena Alhazidou, Vasilis Christofilakis
, Nafsika Ziavra
, Kostas P. Peppas
, Eugenia I. Toki:
Fetus Heart Rate Monitoring: A Preliminary Research Study With Remote Sensing. IEEE Consumer Electron. Mag. 11(4): 32-44 (2022)
[c28]Vasilis Sakellariou, Vassilis Paliouras, Ioannis Kouretas, Hani Saleh, Thanos Stouraitis:
A High-performance RNS LSTM block. ISCAS 2022: 1264-1268- 2021
[c27]Vasilis Sakellariou, Vassilis Paliouras
, Ioannis Kouretas, Hani Saleh, Thanos Stouraitis:
On Reducing the Number of Multiplications in RNS-based CNN Accelerators. ICECS 2021: 1-6
[c26]Ioannis Kouretas, Vassilis Paliouras
:
Simplified Hardware Implementation of Memoryless Dot Product for Neural Network Inference. ISCAS 2021: 1-5
[c25]Ioannis Kouretas, Vassilis Paliouras
:
Hardware Aspects of Parallel Neural Network Implementation. MOCAST 2021: 1-4- 2020
[j3]Mark G. Arnold
, Vassilis Paliouras
, Ioannis Kouretas
:
Implementing the Residue Logarithmic Number System Using Interpolation and Cotransformation. IEEE Trans. Computers 69(12): 1719-1732 (2020)
2010 – 2019
- 2019
[c24]Mark G. Arnold, Ioannis Kouretas, Vassilis Paliouras
, John R. Cowles:
Under- and Overflow Detection in the Residue Logarithmic Number System. ARITH 2019: 112-115
[c23]Ioannis Kouretas
, Vassilis Paliouras
:
Simplified Hardware Implementation of the Softmax Activation Function. MOCAST 2019: 1-4
[c22]Mark G. Arnold, Ioannis Kouretas, Vassilis Paliouras
, Austin Morgan:
One-Hot Residue Logarithmic Number Systems. PATMOS 2019: 97-102
[c21]Ioannis Kouretas, Vassilis Paliouras
:
Radix-3 low-complexity modulo-M multipliers. PATMOS 2019: 107-112- 2018
[c20]Ioannis Kouretas
, Vassilis Paliouras
:
Hardware aspects of Long Short Term Memory. ICECS 2018: 525-528
[c19]Emmanouil Kavvousanos, Vassilis Paliouras
, Ioannis Kouretas
:
Simplified Deep-Learning-based decoders for linear block codes. ICECS 2018: 769-772
[c18]Ioannis Kouretas
, Vassilis Paliouras
:
Logarithmic number system for deep learning. MOCAST 2018: 1-4
[c17]Kostas P. Peppas, Ioannis Kouretas
, Jiayi Zhang
, Spyridon K. Chronopoulos
:
Effective Capacity of Fluctuating Two-Ray Channels with Arbitrary Fading Parameters. SPAWC 2018: 1-5- 2016
[c16]Kleanthis Papachatzopoulos, Ioannis Kouretas
, Vassilis Paliouras
:
Dynamic delay variation behaviour of RNS multiply-add architectures. ISCAS 2016: 1978-1981- 2013
[j2]Ioannis Kouretas
, Charalambos Basetas, Vassilis Paliouras
:
Low-Power Logarithmic Number System Addition/Subtraction and Their Impact on Digital Filters. IEEE Trans. Computers 62(11): 2196-2209 (2013)
[c15]Ioannis Kouretas
, Vassilis Paliouras
:
Delay-variation-tolerant FIR filter architectures based on the Residue Number System. ISCAS 2013: 2223-2226- 2012
[c14]Ioannis Kouretas
, Vassilis Paliouras
:
Residue arithmetic for designing multiply-add units in the presence of non-gaussian variation. ISCAS 2012: 1231-1234- 2011
[c13]Mark G. Arnold, John R. Cowles, Vassilis Paliouras
, Ioannis Kouretas
:
Towards a Quaternion Complex Logarithmic Number System. IEEE Symposium on Computer Arithmetic 2011: 33-42
[c12]Mark G. Arnold, Ioannis Kouretas
, Vassilis Paliouras
:
A Residue Logarithmic Number System ALU using interpolation and cotransformation. ASAP 2011: 255-258- 2010
[c11]Ioannis Kouretas
, Vassilis Paliouras
:
RNS multi-voltage low-power multiply-add unit. ICECS 2010: 9-12
[c10]Ioannis Kouretas
, Vassilis Paliouras
:
Residue arithmetic bases for reducing delay variation. ISCAS 2010: 3885-3888
[c9]Ioannis Kouretas
, Vassilis Paliouras
:
Residue Arithmetic for Designing Low-Power Multiply-Add Units. PATMOS 2010: 31-40
2000 – 2009
- 2009
[j1]Ioannis Kouretas
, Vassilis Paliouras
:
A Low-Complexity High-Radix RNS Multiplier. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(11): 2449-2462 (2009)
[c8]Ioannis Kouretas
, Vassilis Paliouras
:
Variation-tolerant Design Using Residue Number System. DSD 2009: 157-163
[c7]Ioannis Kouretas
, Vassilis Paliouras
:
High-radix residue arithmetic bases for low-power DSP systems. DPS 2009: 1-6
[c6]Ioannis Kouretas
, Vassilis Paliouras
:
Residue Arithmetic for Variation-Tolerant Design of Multiply-Add Units. PATMOS 2009: 26-35- 2008
[c5]Ioannis Kouretas
, Charalambos Basetas, Vassilis Paliouras
:
Low-power logarithmic number system addition/subtraction and their impact on digital filters. ISCAS 2008: 692-695
[c4]Ioannis Kouretas
, Vassilis Paliouras
:
Mixed Radix-2 and High-Radix RNS Bases for Low-Power Multiplication. PATMOS 2008: 93-102- 2007
[c3]Charalambos Basetas, Ioannis Kouretas, Vassilis Paliouras:
Low-Power Digital Filtering Based on the Logarithmic Number System. PATMOS 2007: 546-555- 2003
[c2]Ioannis Kouretas, Vassilis Paliouras:
High-radix redundant circuits for RNS modulo rn-1, rn, or rn+1. ISCAS (5) 2003: 229-232- 2002
[c1]Ioannis Kouretas
, Vassilis Paliouras
:
High-radix modulo rn - 1 multipliers and adders. ICECS 2002: 561-564
Coauthor Index

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last updated on 2026-02-03 23:39 CET by the dblp team
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