Andrea Tangherloni

51 papers B 7C 10Journal 23Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Now You See Me, Now You Don't: A Unified Framework for Expression Consistent Anonymization in Talking Head Videos.
CoRR
Anil Egin, Andrea Tangherloni, Antitza Dantcheva
2025 J jnl
EvoGrad: Metaheuristics in a Differentiable Wonderland.
CoRR
Beatrice F. R. Citterio, Andrea Tangherloni
2025 C conf
GENESIS: Generating scRNA-Seq data from Multiome Gene Expression.
CIBCB
Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Andrea Tangherloni
2025 C conf
Knowledge-Enriched Cell-Type Annotation in Single-Cell Transcriptomics via LLM Embeddings.
CIBCB
Andrea Fabbricatore, Francesca M. Buffa, Andrea Tangherloni
2025 — conf
Now You See Me, Now You Don't: A Unified Framework for Expression Consistent Anonymization in Talking Head Videos.
ICCVW
Anil Egin, Andrea Tangherloni, Antitza Dantcheva
2025 — conf
We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization.
EvoApplications (2)
Daniele M. Papetti, Andrea Tangherloni, Vasco Coelho, Daniela Besozzi, Paolo Cazzaniga, Marco S. Nobile
2024 C conf
A Fast Feature Selection for Interpretable Modeling Based on Fuzzy Inference Systems.
CIBCB
Andrea Tangherloni, Paolo Cazzaniga, Nicolò Stranieri, Francesca M. Buffa, Marco S. Nobile
2024 B conf
A Modified EACOP Implementation for Real-Parameter Single Objective Optimization Problems.
CEC
Andrea Tangherloni, Vasco Coelho, Francesca M. Buffa, Paolo Cazzaniga
2024 C conf
Forest-based Evolutionary Algorithm for Reconstructing Boolean Gene Regulatory Networks.
CIBCB
Nicolò Stranieri, Francesca M. Buffa, Andrea Tangherloni
2023 C conf
Consensus Clustering Strategy for Cell Type Assignments of scRNA-seq Data.
CIBCB
Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Francesca M. Buffa, Andrea Tangherloni
2023 J jnl
MAGNETO: Cell type marker panel generator from single-cell transcriptomic data.
J. Biomed. Informatics
Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Francesca M. Buffa, Paolo Cazzaniga
2023 J jnl
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming.
IEEE Comput. Intell. Mag.
Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi
2023 B conf
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts.
CEC
Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
2022 C conf
A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data.
CIBCB
Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni
2022 C conf
Multi-objective Optimization for Marker Panel Identification in Single-cell Data.
CIBCB
Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga
2022 J jnl
SMGen: A Generator of Synthetic Models of Biochemical Reaction Networks.
Symmetry
Simone G. Riva, Paolo Cazzaniga, Marco S. Nobile, Simone Spolaor, Leonardo Rundo, Daniela Besozzi, Andrea Tangherloni
2022 J jnl
Salp Swarm Optimization: A critical review.
Expert Syst. Appl.
Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni
2021 J jnl
A CUDA-powered method for the feature extraction and unsupervised analysis of medical images.
J. Supercomput.
Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Matteo Mistri, Simone Galimberti, Ramona Woitek, Evis Sala, Giancarlo Mauri, Marco S. Nobile
2021 J jnl
Analysis of single-cell RNA sequencing data based on autoencoders.
BMC Bioinform.
Andrea Tangherloni, Federico Ricciuti, Daniela Besozzi, Pietro Liò, Ana Cvejic
2021 J jnl
FiCoS: A fine-grained and coarse-grained GPU-powered deterministic simulator for biochemical networks.
PLoS Comput. Biol.
Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Giulia Capitoli, Simone Spolaor, Leonardo Rundo, Giancarlo Mauri, Daniela Besozzi
2021 — conf
Integration of Multiple scRNA-Seq Datasets on the Autoencoder Latent Space.
BIBM
Simone G. Riva, Paolo Cazzaniga, Andrea Tangherloni
2021 J jnl
Salp Swarm Optimization: a Critical Review.
CoRR
Mauro Castelli, Luca Manzoni, Luca Mariot, Marco S. Nobile, Andrea Tangherloni
2021 B conf
The Impact of Representation on the Optimization of Marker Panels for Single-cell RNA Data.
CEC
Andrea Tangherloni, Simone G. Riva, Simone Spolaor, Daniela Besozzi, Marco S. Nobile, Paolo Cazzaniga
2020 — ch.
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.
Neural Approaches to Dynamics of Signal Exchanges
Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2020 J jnl
Computational Intelligence for Life Sciences.
Fundam. Informaticae
Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
2019 J jnl
A novel framework for MR image segmentation and quantification by using MedGA.
Comput. Methods Programs Biomed.
Leonardo Rundo, Andrea Tangherloni, Paolo Cazzaniga, Marco S. Nobile, Giorgio Russo, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Daniela Besozzi, Carmelo Militello
2019 J jnl
Biochemical parameter estimation vs. benchmark functions: A comparative study of optimization performance and representation design.
Appl. Soft Comput.
Andrea Tangherloni, Simone Spolaor, Paolo Cazzaniga, Daniela Besozzi, Leonardo Rundo, Giancarlo Mauri, Marco S. Nobile
2019 J jnl
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.
CoRR
Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
2019 — ch.
Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis.
Quantifying and Processing Biomedical and Behavioral Signals
Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Roberto Lagalla, Giancarlo Mauri, Maria Carla Gilardi, Salvatore Vitabile
2019 J jnl
GenHap: a novel computational method based on genetic algorithms for haplotype assembly.
BMC Bioinform.
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga, Giancarlo Mauri, Pietro Liò, Ivan Merelli, Daniela Besozzi
2019 B conf
HaraliCU: GPU-Powered Haralick Feature Extraction on Medical Images Exploiting the Full Dynamics of Gray-Scale Levels.
PaCT
Leonardo Rundo, Andrea Tangherloni, Simone Galimberti, Paolo Cazzaniga, Ramona Woitek, Evis Sala, Marco S. Nobile, Giancarlo Mauri
2019 — —
High-Performance Computing to tackle complex problems in life sciences.
Andrea Tangherloni
2019 J jnl
MedGA: A novel evolutionary method for image enhancement in medical imaging systems.
Expert Syst. Appl.
Leonardo Rundo, Andrea Tangherloni, Marco S. Nobile, Carmelo Militello, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2019 J jnl
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.
Neurocomputing
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2019 J jnl
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.
CoRR
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
2018 B conf
Computational Intelligence for Parameter Estimation of Biochemical Systems.
CEC
Marco S. Nobile, Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2018 — conf
Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization.
CIBB
Niccoló Totis, Andrea Tangherloni, Marco Beccuti, Paolo Cazzaniga, Marco S. Nobile, Daniela Besozzi, Marzio Pennisi, Francesco Pappalardo
2018 — conf
GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis.
Euro-Par Workshops
Marco Beccuti, Paolo Cazzaniga, Marzio Pennisi, Daniela Besozzi, Marco S. Nobile, Simone Pernice, Giulia Russo, Andrea Tangherloni, Francesco Pappalardo
2018 C conf
GPU-Powered Multi-Swarm Parameter Estimation of Biological Systems: A Master-Slave Approach.
PDP
Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Paolo Cazzaniga, Marco S. Nobile
2018 — conf
High Performance Computing for Haplotyping: Models and Platforms.
Euro-Par Workshops
Andrea Tangherloni, Leonardo Rundo, Simone Spolaor, Marco S. Nobile, Ivan Merelli, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga, Pietro Liò
2018 J jnl
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique.
Int. J. Imaging Syst. Technol.
Leonardo Rundo, Carmelo Militello, Andrea Tangherloni, Giorgio Russo, Salvatore Vitabile, Maria Carla Gilardi, Giancarlo Mauri
2017 — conf
Estimation of Kinetic Reaction Constants: Exploiting Reboot Strategies to Improve PSO's Performance.
CIBB
Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Paolo Cazzaniga, Marco S. Nobile
2017 J jnl
GenHap: A novel computational method based on genetic algorithms for haplotype assembly.
PeerJ Prepr.
Andrea Tangherloni, Simone Spolaor, Leonardo Rundo, Marco S. Nobile, Ivan Merelli, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri, Pietro Liò
2017 J jnl
Gillespie's Stochastic Simulation Algorithm on MIC coprocessors.
J. Supercomput.
Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri
2017 J jnl
Graphics processing units in bioinformatics, computational biology and systems biology.
Briefings Bioinform.
Marco S. Nobile, Paolo Cazzaniga, Andrea Tangherloni, Daniela Besozzi
2017 J jnl
LASSIE: simulating large-scale models of biochemical systems on GPUs.
BMC Bioinform.
Andrea Tangherloni, Marco S. Nobile, Daniela Besozzi, Giancarlo Mauri, Paolo Cazzaniga
2017 B conf
Proactive Particles in Swarm Optimization: A settings-free algorithm for real-parameter single objective optimization problems.
CEC
Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile
2017 C conf
Reboot strategies in particle swarm optimization and their impact on parameter estimation of biochemical systems.
CIBCB
Simone Spolaor, Andrea Tangherloni, Leonardo Rundo, Marco S. Nobile, Paolo Cazzaniga
2016 C conf
GPU-powered Bat Algorithm for the parameter estimation of biochemical kinetic values.
CIBCB
Andrea Tangherloni, Marco S. Nobile, Paolo Cazzaniga
2016 B conf
GPU-powered and settings-free parameter estimation of biochemical systems.
CEC
Marco S. Nobile, Andrea Tangherloni, Daniela Besozzi, Paolo Cazzaniga
2016 — conf
Multimodal medical image registration using Particle Swarm Optimization: A review.
SSCI
Leonardo Rundo, Andrea Tangherloni, Carmelo Militello, Maria Carla Gilardi, Giancarlo Mauri