| The SeqAn C++ template library for efficient sequence analysis: A resource for programmers K Reinert, TH Dadi, M Ehrhardt, H Hauswedell, S Mehringer, R Rahn, ... Journal of biotechnology 261, 157-168, 2017 | 123 | 2017 |
| MirGeneDB 2.1: toward a complete sampling of all major animal phyla B Fromm, E Høye, D Domanska, X Zhong, E Aparicio-Puerta, ... Nucleic acids research 50 (D1), D204-D210, 2022 | 99 | 2022 |
| A convolutional neural network fully implemented on FPGA for embedded platforms M Bettoni, G Urgese, Y Kobayashi, E Macii, A Acquaviva 2017 New Generation of CAS (NGCAS), 49-52, 2017 | 71 | 2017 |
| Battery-aware operation range estimation for terrestrial and aerial electric vehicles D Baek, Y Chen, A Bocca, L Bottaccioli, S Di Cataldo, V Gatteschi, ... IEEE Transactions on Vehicular Technology 68 (6), 5471-5482, 2019 | 60 | 2019 |
| isomiR-SEA: an RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation G Urgese, G Paciello, A Acquaviva, E Ficarra BMC bioinformatics 17 (148), 13, 2016 | 52 | 2016 |
| Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API T Desvignes, P Loher, K Eilbeck, J Ma, G Urgese, B Fromm, J Sydes, ... Bioinformatics 36 (3), 698-703, 2020 | 45 | 2020 |
| Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms G Urgese, F Barchi, E Macii, A Acquaviva IEEE Transactions on Emerging Topics in Computing, 12, 2016 | 43 | 2016 |
| Nanomagnet logic: an architectural level overview M Vacca, M Graziano, J Wang, F Cairo, G Causapruno, G Urgese, A Biroli, ... Field-Coupled Nanocomputing: Paradigms, Progress, and Perspectives, 223-256, 2014 | 37 | 2014 |
| Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware SF Müller-Cleve, V Fra, L Khacef, A Pequeño-Zurro, D Klepatsch, E Forno, ... Frontiers in Neuroscience 16, 951164, 2022 | 36 | 2022 |
| Dealing with lack of training data for convolutional neural networks: The case of digital pathology F Ponzio, G Urgese, E Ficarra, S Di Cataldo Electronics 8 (3), 256, 2019 | 34 | 2019 |
| Optimizing quality inspection and control in powder bed metal additive manufacturing: Challenges and research directions S Di Cataldo, S Vinco, G Urgese, F Calignano, E Ficarra, A Macii, E Macii Proceedings of the IEEE 109 (4), 326-346, 2021 | 31 | 2021 |
| Exploration of convolutional neural network models for source code classification F Barchi, E Parisi, G Urgese, E Ficarra, A Acquaviva Engineering Applications of Artificial Intelligence 97, 104075, 2021 | 30 | 2021 |
| Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task E Forno, V Fra, R Pignari, E Macii, G Urgese Frontiers in Neuroscience 16, 999029, 2022 | 27 | 2022 |
| An engineering process model for managing a digitalised life-cycle of products in the industry 4.0 G Urgese, P Azzoni, J van Deventer, J Delsing, E Macii NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2020 | 27 | 2020 |
| Code mapping in heterogeneous platforms using deep learning and llvm-ir F Barchi, G Urgese, E Macii, A Acquaviva Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 25 | 2019 |
| Protein Alignment Systolic Array Throughput Optimization G Causapruno, G Urgese, M Graziano, M Vacca, M Zamboni IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 0 | 22* | |
| DEEPrior: a deep learning tool for the prioritization of gene fusions M Lovino, MS Ciaburri, G Urgese, S Di Cataldo, E Ficarra Bioinformatics 36 (10), 3248-3250, 2020 | 20 | 2020 |
| A deep learning approach to the screening of oncogenic gene fusions in humans M Lovino, G Urgese, E Macii, S Di Cataldo, E Ficarra International journal of molecular sciences 20 (7), 1645, 2019 | 20 | 2019 |
| Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications V Fra, E Forno, R Pignari, TC Stewart, E Macii, G Urgese Neuromorphic Computing and Engineering 2 (1), 014006, 2022 | 18 | 2022 |
| Top-down profiling of application specific many-core neuromorphic platforms G Urgese, F Barchi, E Macii 2015 IEEE 9th International Symposium on Embedded Multicore/Many-core …, 2015 | 16 | 2015 |
Andrea AcquavivaFull Professor, Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi"Verified email at unibo.it
