Pietro Lio' - RankMe

29 papers Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning. CoRR Carlos Purves, Pietro Lio'
2025	J	`jnl`	Bayesian Binary Search. Algorithms Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader, Pietro Lio'
2025	J	`jnl`	Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction. CoRR Shuqi Zi, Haitz Sáez de Ocáriz Borde, Emma Rocheteau, Pietro Lio'
2025	J	`jnl`	Improving AI Efficiency in Data Centres by Power Dynamic Response. CoRR Andrea Marinoni, Sai Shivareddy, Pietro Lio', Weisi Lin, Erik Cambria, Clare Grey
2024	J	`jnl`	ASDNet: A robust involution-based architecture for diagnosis of autism spectrum disorder utilising eye-tracking technology. IET Comput. Vis. Nasirul Mumenin, Mohammad Abu Yousuf, Md Asif Nashiry, A. K. M. Azad, Salem A. Alyami, Pietro Lio', Mohammad Ali Moni
2024	J	`jnl`	DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution. CoRR Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Pietro Lio'
2023	J	`jnl`	HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni
2023	J	`jnl`	Improving embedding of graphs with missing data by soft manifolds. CoRR Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami
2023	J	`jnl`	Interpretable Neural-Symbolic Concept Reasoning. CoRR Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
2023	J	`jnl`	On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology. CoRR Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael M. Bronstein
2023	J	`jnl`	PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong
2023	J	`jnl`	Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing. CoRR Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
2022	J	`jnl`	Graph-Conditioned MLP for High-Dimensional Tabular Biomedical Data. CoRR Andrei Margeloiu, Nikola Simidjievski, Pietro Lio', Mateja Jamnik
2022	J	`jnl`	Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides. J. Comput. Aided Mol. Des. Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Watshara Shoombuatong
2022	J	`jnl`	NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong
2022	J	`jnl`	SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong
2021	J	`jnl`	Arbitrary Scale Super-Resolution for Medical Images. Int. J. Neural Syst. Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio'
2021	J	`jnl`	Graph Representation Learning on Tissue-Specific Multi-Omics. CoRR Amine Amor, Pietro Lio', Vikash Singh, Ramón Viñas Torné, Helena Andrés-Terré
2021	J	`jnl`	MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution. CoRR Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio'
2020	—	`conf`	Arbitrary Scale Super-Resolution for Brain MRI Images. AIAI (1) Chuan Tan, Jin Zhu, Pietro Lio'
2020	J	`jnl`	Arbitrary Scale Super-Resolution for Brain MRI Images. CoRR Chuan Tan, Jin Zhu, Pietro Lio'
2020	J	`jnl`	DADIM: A distance adjustment dynamic influence map model. Future Gener. Comput. Syst. Xiaofeng Lu, Xiaoming Wang, Pietro Lio', Pan Hui
2020	J	`jnl`	Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks. CoRR Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio'
2020	—	`conf`	Unsupervised stratification in neuroimaging through deep latent embeddings. EMBC Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lio', Nicola Toschi
2018	J	`jnl`	Computational Models for Trapping Ebola Virus Using Engineered Bacteria. IEEE ACM Trans. Comput. Biol. Bioinform. Daniel P. Martins, Michael Taynnan Barros, Massimiliano Pierobon, Meenakshisundaram Kandhavelu, Pietro Lio', Sasitharan Balasubramaniam
2018	J	`jnl`	Multi-omic analysis of signalling factors in inflammatory comorbidities. BMC Bioinform. Hui Xiao, Krzysztof Bartoszek, Pietro Lio'
2018	J	`jnl`	Parallel swarm intelligence strategies for large-scale clustering based on MapReduce with application to epigenetics of aging. Appl. Soft Comput. Zakaria Benmounah, Souham Meshoul, Mohamed Batouche, Pietro Lio'
2012	—	`book`	Biologically Inspired Networking and Sensing - Algorithms and Architectures. Biologically Inspired Networking and Sensing Pietro Lio', Dinesh C. Verma
2011	—	`conf`	Unity in Diversity: Phylogenetic-inspired Techniques for Reverse Engineering and Detection of Malware Families. SysSec@DIMVA Wei Ming Khoo, Pietro Lio'