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pietro.lio@uniroma1.it
Pietro Lio
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
pietro.lio@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
NEURAL NETWORKS
2023
Modular Multi-Source Prediction of Drug Side-Effects with DruGNN
IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Proceedings of Machine Learning Research
2023
Modelling local and general quantum mechanical properties with attention-based pooling
COMMUNICATIONS CHEMISTRY
2023
Controlling highway toll stations using deep learning, queuing theory, and differential evolution
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
2023
StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images
MAGALAT GAMʼAT AL-MALIK SAUD: ULM AL-HASIB WA AL-MAʼLUMAT
2023
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning
JOURNAL OF CHEMICAL INFORMATION AND MODELING
2023
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
2023
An LTE Authentication and Key Agreement Protocol Based on the ECC Self-Certified Public Key
IEEE-ACM TRANSACTIONS ON NETWORKING
2023
MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model
AI OPEN
2023
RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
2023
Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank
COMMUNICATIONS MEDICINE
2023
GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network
ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023
2023
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
22nd IFAC World Congress
2023
Neural Algorithmic Reasoning for Combinatorial Optimisation
Proceedings of Machine Learning Research
2023
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
2023
Will More Expressive Graph Neural Networks do Better on Generative Tasks?
Proceedings of Machine Learning Research
2023
A Federated Learning Benchmark for Drug-Target Interaction
ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023
2023
Interpretable Graph Networks Formulate Universal Algebra Conjectures
37th Conference on Neural Information Processing Systems (NeurIPS 2023)
2023
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
2023
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