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Marco Russo
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2020 – today
- 2024
- [c16]Rocco Zaccagnino, Clelia De Felice, Marco Russo, Rosalba Zizza:
Visual Insights in Human Cancer Mutational Patterns: Similarity-Based Cancer Classification Using Siamese Networks. BIOSTEC (1) 2024: 462-470 - [i3]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, Guglielmo Morgari, Antonio Manzalini:
European Quantum Ecosystems - Preparing the Industry for the Quantum Security and Communications Revolution. CoRR abs/2408.15027 (2024) - 2023
- [j34]Francesco Pio Barone, Daniele Dell'Aquila, Marco Russo:
A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals. Mach. Learn. Sci. Technol. 4(4): 45054 (2023) - [c15]Antonio Costantino Marceddu, Nicola Dilillo, Marco Russo, Renato Ferrero, Bartolomeo Montrucchio:
A Quantum Adaptation to Roll Truly Random Dice in Role Playing Games. CoG 2023: 1-4 - [c14]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, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino:
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. NeSy 2023: 223-232 - [c13]Marco Russo, Edoardo Giusto, Bartolomeo Montrucchio:
Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach. QCE 2023: 219-228 - [i2]Marco Russo, Edoardo Giusto, Bartolomeo Montrucchio:
Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach. CoRR abs/2307.15840 (2023) - 2022
- [i1]Francesco Pio Barone, Daniele Dell'Aquila, Marco Russo:
A Novel Multi-Layer Modular Approach for Real-Time Gravitational-Wave Detection. CoRR abs/2206.06004 (2022) - 2021
- [j33]Daniele Dell'Aquila, Marco Russo:
Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach. Comput. Phys. Commun. 259: 107667 (2021) - 2020
- [j32]Giuseppe Campobello, Daniele Dell'Aquila, Marco Russo, Antonino Segreto:
Neuro-genetic programming for multigenre classification of music content. Appl. Soft Comput. 94: 106488 (2020) - [j31]Marco Russo:
A novel technique to self-adapt parameters in parallel/distributed genetic programming. Soft Comput. 24(22): 16885-16894 (2020) - [c12]Flavio Cirillo, Bin Cheng, Raffaele Porcellana, Marco Russo, Gürkan Solmaz, Hisashi Sakamoto, Simon Pietro Romano:
IntentKeeper: Intent-oriented Data Usage Control for Federated Data Analytics. LCN 2020: 204-215
2010 – 2019
- 2019
- [j30]Marco Russo, Bruno De Lucca, Tiziano Flati, Silvia Gioiosa, Giovanni Chillemi, Giovanni Capranico:
DROPA: DRIP-seq optimized peak annotator. BMC Bioinform. 20(1): 414:1-414:7 (2019) - 2016
- [j29]Marco Russo:
A distributed neuro-genetic programming tool. Swarm Evol. Comput. 27: 145-155 (2016) - 2012
- [j28]Giuseppe Campobello, Giuseppe Patanè, Marco Russo:
On the complexity of min-max sorting networks. Inf. Sci. 190: 178-191 (2012) - [c11]Marco Russo:
Towards General Purpose Neuro-Genetic Programming Socket Based Formal Modeller - (Invited Paper). ICHIT (1) 2012: 195-202
2000 – 2009
- 2008
- [j27]Giuseppe Campobello, Giuseppe Patanè, Marco Russo:
An efficient algorithm for parallel distributed unsupervised learning. Neurocomputing 71(13-15): 2914-2928 (2008) - 2006
- [j26]Giuseppe Campobello, Marco Russo:
A scalable VLSI speed/area tunable sorting network. J. Syst. Archit. 52(10): 589-602 (2006) - 2005
- [j25]Giuseppe Campobello, Mirko Mantineo, Giuseppe Patanè, Marco Russo:
LBGS: a smart approach for very large data sets vector quantization. Signal Process. Image Commun. 20(1): 91-114 (2005) - [j24]Marco Russo:
Crossover enhancements in GEFREX. IEEE Trans. Neural Networks 16(4): 1000-1002 (2005) - 2004
- [j23]Giuseppe Campobello, Giuseppe Patanè, Marco Russo:
Hardware for multiconnected networks: the design flow. Inf. Sci. 158: 149-172 (2004) - [j22]Giuseppe Campobello, Giuseppe Patanè, Marco Russo:
Hardware for multiconnected networks: a case study. Inf. Sci. 158: 173-188 (2004) - 2003
- [j21]Giuseppe Campobello, Giuseppe Patanè, Marco Russo:
Parallel CRC Realization. IEEE Trans. Computers 52(10): 1312-1319 (2003) - 2002
- [j20]Giuseppe Patanè, Marco Russo:
Distributed unsupervised learning using the multisoft machine. Inf. Sci. 143(1-4): 181-196 (2002) - [j19]Giuseppe Patanè, Marco Russo:
Fully automatic clustering system. IEEE Trans. Neural Networks 13(6): 1285-1298 (2002) - 2001
- [j18]Thomas R. Cundari, Marco Russo:
Database Mining Using Soft Computing Techniques. An Integrated Neural Network-Fuzzy Logic-Genetic Algorithm Approach. J. Chem. Inf. Comput. Sci. 41(2): 281-287 (2001) - [j17]Giuseppe Patanè, Marco Russo:
The enhanced LBG algorithm. Neural Networks 14(9): 1219-1237 (2001) - [j16]Marco Russo:
Distributed fuzzy learning using the MULTISOFT machine. IEEE Trans. Neural Networks 12(3): 475-484 (2001) - 2000
- [j15]Marco Russo:
Genetic fuzzy learning. IEEE Trans. Evol. Comput. 4(3): 259-273 (2000) - [c10]Giuseppe Patanè, Marco Russo:
Parallel Clustering on a Commodity Supercomputer. IJCNN (3) 2000: 575-580
1990 – 1999
- 1999
- [j14]Francesco Beritelli, Salvatore Casale, Marco Russo:
A Pattern Recognition Approach to Robust Voiced/Unvoiced Speech Classification Using Fuzzy Logic. Int. J. Pattern Recognit. Artif. Intell. 13(1): 109-132 (1999) - [j13]Giuseppe Ascia, Vincenzo Catania, Marco Russo:
VLSI hardware architecture for complex fuzzy systems. IEEE Trans. Fuzzy Syst. 7(5): 553-570 (1999) - [j12]Salvatore Cavalieri, Marco Russo:
Solving constraint satisfaction and optimization problems by a neuro-fuzzy approach. IEEE Trans. Syst. Man Cybern. Part B 29(6): 895-902 (1999) - [c9]Marco Russo, Giuseppe Patanè:
Improving the LBG Algorithm. IWANN (1) 1999: 621-630 - [c8]Marco Russo:
Parallel Fuzzy Learning. IWANN (1) 1999: 641-650 - 1998
- [j11]Salvatore Cavalieri, Marco Russo:
Improving Hopfield neural network performance by fuzzy logic-based coefficient tuning. Neurocomputing 18(1-3): 107-126 (1998) - [j10]Marco Russo, N. A. Santagati, Edoardo Lo Pinto:
Medicinal Chemistry and Fuzzy Logic. Inf. Sci. 105(1-4): 299-314 (1998) - [j9]Francesco Beritelli, Salvatore Casale, Marco Russo:
A Fuzzy System for Tone Detection Applications. Inf. Sci. 111(1-4): 207-221 (1998) - [j8]Francesco Beritelli, Salvatore Casale, Marco Russo:
A pattern classification proposal for object-oriented audio coding in MPEG-4. Telecommun. Syst. 9(3-4): 375-391 (1998) - [j7]Marco Russo:
FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling. IEEE Trans. Fuzzy Syst. 6(3): 373-388 (1998) - 1997
- [j6]Vincenzo Catania, Michele Malgeri, Marco Russo:
Applying fuzzy logic to codesign partitioning. IEEE Micro 17(3): 62-70 (1997) - [c7]Guiseppe V. Russo, Domenico Lo Presti, S. Panebanco, Catia Petta, Nunzio Randazzo, Santo Reito, C. Caligiore, Marco Russo, Massimo Masetti, Enzo Gandolfi, Alessandro Gabrielli:
Applying fuzzy techniques to particle detectors. KES (1) 1997: 224-228 - 1996
- [j5]Guiseppe V. Russo, Catia Petta, Domenico Lo Presti, Nunzio Randazzo, Marco Russo:
Silicon Drift Detector Readout and On-Line Data Reduction using a Fast VLSI Dedicated Fuzzy Processor. Inf. Sci. 95(3): 233-260 (1996) - [j4]Marco Russo:
Comments on "A new approach to fuzzy-neural system modeling" [and reply]. IEEE Trans. Fuzzy Syst. 4(2): 209-210 (1996) - [c6]Vincenzo Catania, Salvatore Cavalieri, Marco Russo:
Tuning Hopfield neural network by a fuzzy approach. ICNN 1996: 1067-1072 - 1995
- [j3]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, Liliane Peters, Krishna Rao Valavala, Mahmoud A. Manzoul, Antonio Ruiz, Julio Gutiérrez, Felipe Fernández:
Fuzzy Hardware Challenges. IEEE Micro 15(6): 61-67 (1995) - [j2]Giuseppe Ascia, Vincenzo Catania, Biagio Giacalone, Marco Russo, Lorenzo Vita:
Designing for parallel fuzzy computing. IEEE Micro 15(6): W1-W11 (1995) - [c5]Vincenzo Catania, N. Fiorito, Michele Malgeri, Marco Russo:
A soft computing approach to hardware software codesign. Great Lakes Symposium on VLSI 1995: 158-163 - [c4]Vincenzo Catania, N. Fiorito, Michele Malgeri, Marco Russo:
A Framework for Codesign Based on Fuzzy Logic and Genetic Algorithms. IEA/AIE 1995: 797-804 - [c3]Francesco Beritelli, Salvatore Casale, Marco Russo:
A voiced/unvoiced speech discrimination technique based on fuzzy logic. EUROSPEECH 1995: 389-392 - [c2]Enzo Gandolfi, Alessandro Gabrielli, Massimo Masetti, Marco Russo:
Design of a VLSI very high speed reconfigurable digital fuzzy processor. SAC 1995: 477-481 - [c1]Vincenzo Catania, Marco Russo:
Analog gates for a VLSI fuzzy processor. VLSI Design 1995: 299-304 - 1994
- [j1]Vincenzo Catania, Antonio Puliafito, Marco Russo, Lorenzo Vita:
A VLSI fuzzy inference processor based on a discrete analog approach. IEEE Trans. Fuzzy Syst. 2(2): 93-106 (1994)
Coauthor Index
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