What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Programming language
His primary scientific interests are in Artificial intelligence, Artificial neural network, Process mining, Machine learning and Business process.
His work carried out in the field of Artificial intelligence brings together such families of science as Algorithm and Pattern recognition.
The concepts of his Artificial neural network study are interwoven with issues in Theoretical computer science and Graph.
His research integrates issues of Event, Control flow, Data mining and Business process discovery in his study of Process mining.
He works mostly in the field of Machine learning, limiting it down to concerns involving Process and, occasionally, Sequence prediction and Sequence.
His studies in Recurrent neural network integrate themes in fields like Inference, Graph theory, Gradient method, Computer vision and Data structure.
His most cited work include:
- Process Mining Manifesto (684 citations)
- Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo'. (438 citations)
- A general framework for adaptive processing of data structures (402 citations)
What are the main themes of his work throughout his whole career to date?
Alessandro Sperduti mostly deals with Artificial intelligence, Artificial neural network, Machine learning, Theoretical computer science and Pattern recognition.
His Artificial intelligence study deals with Tree intersecting with Generative model.
The Artificial neural network study which covers Representation that intersects with Basis.
His research in Machine learning focuses on subjects like Data mining, which are connected to Business process discovery.
His research investigates the link between Business process discovery and topics such as Business Process Model and Notation that cross with problems in Process mining.
His work deals with themes such as Graph and Graph, which intersect with Theoretical computer science.
He most often published in these fields:
- Artificial intelligence (57.14%)
- Artificial neural network (28.57%)
- Machine learning (27.68%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (57.14%)
- Graph (10.27%)
- Theoretical computer science (20.98%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Graph, Theoretical computer science, Pattern recognition and Autoencoder.
His Artificial intelligence research includes elements of Machine learning, Sequence and Natural language processing.
His Graph research incorporates elements of Artificial neural network, Generalization error and Discriminative model.
His research investigates the connection with Artificial neural network and areas like Convolution which intersect with concerns in Flow, Layer and State.
His research on Theoretical computer science also deals with topics like
- Graph which connect with Graph kernel, Isomorphism and Feature vector,
- Graph neural networks which is related to area like Convolutional neural network, Kernel and Supervised learning.
His study looks at the intersection of Pattern recognition and topics like Feature with Decomposition.
Between 2017 and 2021, his most popular works were:
- Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo'. (438 citations)
- Suppression of COVID-19 outbreak in the municipality of Vo’, Italy (227 citations)
- Time and activity sequence prediction of business process instances (45 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Programming language
Graph, Artificial neural network, Theoretical computer science, Artificial intelligence and Machine learning are his primary areas of study.
His research in Artificial neural network intersects with topics in Convolution and Graph neural networks.
Alessandro Sperduti has included themes like Resampling, Computation and Generalization error in his Theoretical computer science study.
In the field of Artificial intelligence, his study on Kernel overlaps with subjects such as Renewable energy.
His Kernel study which covers Task that intersects with Kernel.
Alessandro Sperduti has researched Machine learning in several fields, including Multi-task learning and Representation.
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