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Publication search results
found 72 matches
- 2024
- Marco Cococcioni, Alessandro Cudazzo, Lorenzo Fiaschi, Massimo Pappalardo, Yaroslav D. Sergeyev:
A new cutting plane method for lexicographic multi-objective integer linear programming. Commun. Nonlinear Sci. Numer. Simul. 129: 107674 (2024) - Marcello Traiola, Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio, Sepide Saeedi, Alessio Carpegna, Anil Bayram Gogebakan, Enrico Magliano, Alessandro Savino:
Approximate Fault-Tolerant Neural Network Systems. ETS 2024: 1-10 - Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra:
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. FPL 2024: 297-303 - Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu:
A2Q+: Improving Accumulator-Aware Weight Quantization. ICML 2024 - Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu:
A2Q+: Improving Accumulator-Aware Weight Quantization. CoRR abs/2401.10432 (2024) - 2023
- Alessia Rondinella, Elena Crispino, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Clara Di Lorenzo, Davide Maimone, Francesco Pappalardo, Sebastiano Battiato:
Boosting multiple sclerosis lesion segmentation through attention mechanism. Comput. Biol. Medicine 161: 107021 (2023) - Alessia Rondinella, Francesco Guarnera, Oliver Giudice, Alessandro Ortis, Giulia Russo, Elena Crispino, Francesco Pappalardo, Sebastiano Battiato:
Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models. BIBM 2023: 3733-3740 - Enrico Reggiani, Alessandro Pappalardo, Max Doblas, Miquel Moretó, Mauro Olivieri, Osman Sabri Unsal, Adrián Cristal:
Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. HPCA 2023: 1085-1098 - Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. ICCV 2023: 16943-16952 - Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. CoRR abs/2301.13376 (2023) - Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-László Barabási, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, János Kertész, Alistair Knott, Yannis E. Ioannidis, Paul Lukowicz, Andrea Passarella, Alex 'Sandy' Pentland, John Shawe-Taylor, Alessandro Vespignani:
Social AI and the Challenges of the Human-AI Ecosystem. CoRR abs/2306.13723 (2023) - Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. CoRR abs/2308.13504 (2023) - Shivam Aggarwal, Alessandro Pappalardo, Hans Jakob Damsgaard, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra:
Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs. CoRR abs/2311.12359 (2023) - 2022
- Giulia Russo, Valentina Di Salvatore, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Pedro A. Reche, Francesco Pappalardo:
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets. Briefings Bioinform. 23(1) (2022) - Felix Jentzsch, Yaman Umuroglu, Alessandro Pappalardo, Michaela Blott, Marco Platzner:
RadioML Meets FINN: Enabling Future RF Applications With FPGA Streaming Architectures. IEEE Micro 42(6): 125-133 (2022) - Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott, Jovan Mitrevski, Benjamin Hawks, Nhan Tran, Vladimir Loncar, Sioni Summers, Hendrik Borras, Jules Muhizi, Matthew Trahms, Shih-Chieh Hsu, Scott Hauck, Javier M. Duarte:
QONNX: Representing Arbitrary-Precision Quantized Neural Networks. CoRR abs/2206.07527 (2022) - 2021
- Avisa Maleki, Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo:
In silico design of recombinant multi-epitope vaccine against influenza A virus. BMC Bioinform. 22-S(14): 617 (2021) - Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Francesco Pappalardo:
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models. BMC Bioinform. 22-S(14): 626 (2021) - Alexandru-Lucian Georgescu, Alessandro Pappalardo, Horia Cucu, Michaela Blott:
Performance vs. hardware requirements in state-of-the-art automatic speech recognition. EURASIP J. Audio Speech Music. Process. 2021(1): 28 (2021) - Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu:
Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference. Frontiers Artif. Intell. 4: 676564 (2021) - Emanuele Murgano, Riccardo Caponetto, Giuseppina Pappalardo, Salvatore Cafiso, Alessandro Severino:
A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment. Sensors 21(12): 4183 (2021) - Giuseppe Alessandro Parasiliti Palumbo, Avisa Maleki, Serena Anna Italia, Giulia Russo, Francesco Pappalardo:
Uncertainty quantification and sensitivity analysis for in silico trial platform: a preliminary application on UISS-MS. BIBM 2021: 3299-3302 - Valentina Di Salvatore, Avisa Maleki, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo:
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant. BIBM 2021: 3303-3307 - Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Valentina Di Salvatore, Giulia Russo, Francesco Pappalardo:
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19. BIOMESIP 2021: 361-370 - Gábor Csordás, Kristof Denolf, Nicholas J. Fraser, Alessandro Pappalardo, Kees A. Vissers:
Trainable Preprocessing for Reduced Precision Neural Networks. EUSIPCO 2021: 1546-1550 - Francesco Pappalardo, Nunzio Iraci, Loredana Leggio, Alessandro Lombardo, Giacomo Morabito:
How molecular packets improve cell-to-cell communication. NANOCOM 2021: 28:1-28:2 - Benjamin Hawks, Javier M. Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu:
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference. CoRR abs/2102.11289 (2021) - 2020
- Simone Pernice, Laura Follia, Alessandro Maglione, Marzio Pennisi, Francesco Pappalardo, Francesco Novelli, Marinella Clerico, Marco Beccuti, Francesca Cordero, Simona Rolla:
Computational modeling of the immune response in multiple sclerosis using epimod framework. BMC Bioinform. 21-S(17): 550 (2020) - Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Miguel A. Juárez, Pere-Joan Cardona, Santo Motta, Kenneth B. Walker, Epifanio Fichera, Marco Viceconti, Francesco Pappalardo:
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB. BMC Bioinform. 21-S(17): 458 (2020) - Marco Cococcioni, Alessandro Cudazzo, Massimo Pappalardo, Yaroslav D. Sergeyev:
Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology. Commun. Nonlinear Sci. Numer. Simul. 84: 105177 (2020)
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