A VLSI fuzzy inference processor based on a discrete analog approach. - Vincenzo Catania; Antonio Puliafito; Marco Russo; Lorenzo Vita (IEEE Trans. Fuzzy Syst., 1994)

A soft computing approach to hardware software codesign. - Vincenzo Catania; N. Fiorito; Michele Malgeri; Marco Russo (Great Lakes Symposium on VLSI, 1995)

A Framework for Codesign Based on Fuzzy Logic and Genetic Algorithms. - Vincenzo Catania; N. Fiorito; Michele Malgeri; Marco Russo (IEA/AIE, 1995)

A voiced/unvoiced speech discrimination technique based on fuzzy logic. - Francesco Beritelli; Salvatore Casale; Marco Russo (EUROSPEECH, 1995)

Design of a VLSI very high speed reconfigurable digital fuzzy processor. - Enzo Gandolfi; Alessandro Gabrielli; Massimo Masetti; Marco Russo (SAC, 1995)

Analog gates for a VLSI fuzzy processor. - Vincenzo Catania; Marco Russo (VLSI Design, 1995)

Designing for parallel fuzzy computing. - Giuseppe Ascia; Vincenzo Catania; Biagio Giacalone; Marco Russo; Lorenzo Vita (IEEE Micro, 1995)

Fuzzy Hardware Challenges. - Abraham Kandel; Giuseppe Ascia; Vincenzo Catania; Biagio Giacalone; Marco Russo; Lorenzo Vita; Andrés Jaramillo-Botero; Yoichi Miyake; Hua Harry Li; Nowell Godfrey; Yuandong Ji; Shuwei Guo; et al. (IEEE Micro, 1995)

Tuning Hopfield neural network by a fuzzy approach. - Vincenzo Catania; Salvatore Cavalieri; Marco Russo (ICNN, 1996)

Silicon Drift Detector Readout and On-Line Data Reduction using a Fast VLSI Dedicated Fuzzy Processor. - Guiseppe V. Russo; Catia Petta; Domenico Lo Presti; Nunzio Randazzo; Marco Russo (Inf. Sci., 1996)

Comments on "A new approach to fuzzy-neural system modeling" [and reply]. - Marco Russo (IEEE Trans. Fuzzy Syst., 1996)

Applying fuzzy techniques to particle detectors. - Guiseppe V. Russo; Domenico Lo Presti; S. Panebanco; Catia Petta; Nunzio Randazzo; Santo Reito; C. Caligiore; Marco Russo; Massimo Masetti; Enzo Gandolfi; Alessandro Gabrielli (KES (1), 1997)

Applying fuzzy logic to codesign partitioning. - Vincenzo Catania; Michele Malgeri; Marco Russo (IEEE Micro, 1997)

Improving Hopfield neural network performance by fuzzy logic-based coefficient tuning. - Salvatore Cavalieri; Marco Russo (Neurocomputing, 1998)

A Fuzzy System for Tone Detection Applications. - Francesco Beritelli; Salvatore Casale; Marco Russo (Inf. Sci., 1998)

Medicinal Chemistry and Fuzzy Logic. - Marco Russo; N. A. Santagati; Edoardo Lo Pinto (Inf. Sci., 1998)

A pattern classification proposal for object-oriented audio coding in MPEG-4. - Francesco Beritelli; Salvatore Casale; Marco Russo (Telecommun. Syst., 1998)

FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling. - Marco Russo (IEEE Trans. Fuzzy Syst., 1998)

Parallel Fuzzy Learning. - Marco Russo (IWANN (1), 1999)

Improving the LBG Algorithm. - Marco Russo; Giuseppe Patanè 003 (IWANN (1), 1999)

A Pattern Recognition Approach to Robust Voiced/Unvoiced Speech Classification Using Fuzzy Logic. - Francesco Beritelli; Salvatore Casale; Marco Russo (Int. J. Pattern Recognit. Artif. Intell., 1999)

VLSI hardware architecture for complex fuzzy systems. - Giuseppe Ascia; Vincenzo Catania; Marco Russo (IEEE Trans. Fuzzy Syst., 1999)

Solving constraint satisfaction and optimization problems by a neuro-fuzzy approach. - Salvatore Cavalieri; Marco Russo (IEEE Trans. Syst. Man Cybern. Part B, 1999)

Parallel Clustering on a Commodity Supercomputer. - Giuseppe Patanè 003; Marco Russo (IJCNN (3), 2000)

Genetic fuzzy learning. - Marco Russo (IEEE Trans. Evol. Comput., 2000)

Database Mining Using Soft Computing Techniques. An Integrated Neural Network-Fuzzy Logic-Genetic Algorithm Approach. - Thomas R. Cundari; Marco Russo (J. Chem. Inf. Comput. Sci., 2001)

The enhanced LBG algorithm. - Giuseppe Patanè 003; Marco Russo (Neural Networks, 2001)

Distributed fuzzy learning using the MULTISOFT machine. - Marco Russo (IEEE Trans. Neural Networks, 2001)

Distributed unsupervised learning using the multisoft machine. - Giuseppe Patanè 003; Marco Russo (Inf. Sci., 2002)

Fully automatic clustering system. - Giuseppe Patanè 003; Marco Russo (IEEE Trans. Neural Networks, 2002)

Parallel CRC Realization. - Giuseppe Campobello; Giuseppe Patanè 003; Marco Russo (IEEE Trans. Computers, 2003)

Hardware for multiconnected networks: the design flow. - Giuseppe Campobello; Giuseppe Patanè 003; Marco Russo (Inf. Sci., 2004)

Hardware for multiconnected networks: a case study. - Giuseppe Campobello; Giuseppe Patanè 003; Marco Russo (Inf. Sci., 2004)

LBGS: a smart approach for very large data sets vector quantization. - Giuseppe Campobello; Mirko Mantineo; Giuseppe Patanè 003; Marco Russo (Signal Process. Image Commun., 2005)

Crossover enhancements in GEFREX. - Marco Russo (IEEE Trans. Neural Networks, 2005)

A scalable VLSI speed/area tunable sorting network. - Giuseppe Campobello; Marco Russo (J. Syst. Archit., 2006)

An efficient algorithm for parallel distributed unsupervised learning. - Giuseppe Campobello; Giuseppe Patanè 003; Marco Russo (Neurocomputing, 2008)

Towards General Purpose Neuro-Genetic Programming Socket Based Formal Modeller - (Invited Paper). - Marco Russo (ICHIT (1), 2012)

On the complexity of min-max sorting networks. - Giuseppe Campobello; Giuseppe Patanè 003; Marco Russo (Inf. Sci., 2012)

A distributed neuro-genetic programming tool. - Marco Russo (Swarm Evol. Comput., 2016)

DROPA: DRIP-seq optimized peak annotator. - Marco Russo; Bruno De Lucca; Tiziano Flati; Silvia Gioiosa; Giovanni Chillemi; Giovanni Capranico (BMC Bioinform., 2019)

IntentKeeper: Intent-oriented Data Usage Control for Federated Data Analytics. - Flavio Cirillo; Bin Cheng 003; Raffaele Porcellana; Marco Russo; Gürkan Solmaz; Hisashi Sakamoto; Simon Pietro Romano (LCN, 2020)

Neuro-genetic programming for multigenre classification of music content. - Giuseppe Campobello; Daniele Dell'Aquila; Marco Russo; Antonino Segreto (Appl. Soft Comput., 2020)

A novel technique to self-adapt parameters in parallel/distributed genetic programming. - Marco Russo (Soft Comput., 2020)

Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach. - Daniele Dell'Aquila; Marco Russo (Comput. Phys. Commun., 2021)

A Novel Multi-Layer Modular Approach for Real-Time Gravitational-Wave Detection. - Francesco Pio Barone; Daniele Dell'Aquila; Marco Russo (CoRR, 2022)

A Quantum Adaptation to Roll Truly Random Dice in Role Playing Games. - Antonio Costantino Marceddu; Nicola Dilillo; Marco Russo; Renato Ferrero; Bartolomeo Montrucchio (CoG, 2023)

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. - Lia Morra; Alberto Azzari; Letizia Bergamasco; Marco Braga; Luigi Capogrosso; Federico Delrio; Giuseppe Di Giacomo; Simone Eiraudo; Giorgia Ghione; Rocco Giudice; Alkis Koudounas; Luca Piano; et al. (NeSy, 2023)

Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach. - Marco Russo; Edoardo Giusto; Bartolomeo Montrucchio (QCE, 2023)

A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals. - Francesco Pio Barone; Daniele Dell'Aquila; Marco Russo (Mach. Learn. Sci. Technol., 2023)

Visual Insights in Human Cancer Mutational Patterns: Similarity-Based Cancer Classification Using Siamese Networks. - Rocco Zaccagnino; Clelia De Felice; Marco Russo; Rosalba Zizza (BIOSTEC (1), 2024)

European Quantum Ecosystems - Preparing the Industry for the Quantum Security and Communications Revolution. - Noel Farrugia; Daniel Bonanno; Nicholas Frendo; André Xuereb; Evangelos A. Kosmatos; Alexandros A. Stavdas; Marco Russo; Bartolomeo Montrucchio; Marco Menchetti; Davide Bacco; Silvia Marigonda; Francesco Stocco; et al. (CoRR, 2024)

Machine learning for arbitrary single-qubit rotations on an embedded device. - Madhav Narayan Bhat; Marco Russo; Luca P. Carloni; Giuseppe Di Guglielmo; Farah Fahim; Andy C. Y. Li; Gabriel N. Perdue (Quantum Mach. Intell., 2025)