Pietro Lio'

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Inhomogeneity Correction

Biomedical Data

Top Venues

Comput. Biol. Medicine

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Lio'
DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution. CoRR (2024)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
Interpretable Neural-Symbolic Concept Reasoning. CoRR (2023)
Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR (2023)
Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami
Improving embedding of graphs with missing data by soft manifolds. CoRR (2023)
Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162 (2023)
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael M. Bronstein
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. CoRR (2023)
Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152 (2023)
Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146 (2022)
Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik
Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR (2022)
Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong
Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. 36 (11) (2022)
Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148 (2022)
Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio'
MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution. CoRR (2021)
Amine Amor, Pietro Lio', Vikash Singh, Ramón Viñas Torné, Helena Andrés-Terré
Graph Representation Learning on Tissue-Specific Multi-Omics. CoRR (2021)
Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio'
Arbitrary Scale Super-Resolution for Medical Images. Int. J. Neural Syst. 31 (10) (2021)
Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio'
Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks. CoRR (2020)
Chuan Tan, Jin Zhu, Pietro Lio'
Arbitrary Scale Super-Resolution for Brain MRI Images. CoRR (2020)
Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi
Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC (2020)
Chuan Tan, Jin Zhu, Pietro Lio'
Arbitrary Scale Super-Resolution for Brain MRI Images. AIAI (1) (2020)
Xiaofeng Lu, Xiaoming Wang, Pietro Lio', Pan Hui
DADIM: A distance adjustment dynamic influence map model. Future Gener. Comput. Syst. 112 (2020)
Daniel P. Martins, Michael Taynnan Barros, Massimiliano Pierobon, Meenakshisundaram Kandhavelu, Pietro Lio', Sasitharan Balasubramaniam
Computational Models for Trapping Ebola Virus Using Engineered Bacteria. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (6) (2018)
Zakaria Benmounah, Souham Meshoul, Mohamed Batouche, Pietro Lio'
Parallel swarm intelligence strategies for large-scale clustering based on MapReduce with application to epigenetics of aging. Appl. Soft Comput. 69 (2018)
Hui Xiao, Krzysztof Bartoszek, Pietro Lio'
Multi-omic analysis of signalling factors in inflammatory comorbidities. BMC Bioinform. 19 (1) (2018)
Wei Ming Khoo, Pietro Lio'
Unity in Diversity: Phylogenetic-inspired Techniques for Reverse Engineering and Detection of Malware Families. SysSec@DIMVA (2011)