What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
Francesco Palmieri mostly deals with Artificial intelligence, Distributed computing, Energy consumption, Algorithm and Computer security.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Computer vision and Pattern recognition.
His Distributed computing research integrates issues from Scalability, Cryptography, Symmetric-key algorithm, Encryption and Big data.
His Energy consumption research incorporates elements of Network element, Computer network, Server, Efficient energy use and Renewable energy.
His Algorithm research includes themes of Nonlinear filter, Feasible region, Discrete space and Control theory.
Data mining is closely connected to Traffic engineering in his research, which is encompassed under the umbrella topic of Computer security.
His most cited work include:
- Network anomaly detection with the restricted Boltzmann machine (216 citations)
- Original Contribution: Optimal filtering algorithms for fast learning in feedforward neural networks (149 citations)
- Classifying mammographic lesions using computerized image analysis (135 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, Artificial intelligence, Computer security, Distributed computing and Algorithm.
His Computer network study frequently draws connections between adjacent fields such as The Internet.
The Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Pattern recognition.
Authentication is the focus of his Computer security research.
His Distributed computing study integrates concerns from other disciplines, such as Grid computing and Scalability.
His studies link Control theory with Algorithm.
He most often published in these fields:
- Computer network (20.97%)
- Artificial intelligence (18.20%)
- Computer security (17.74%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (18.20%)
- Computer security (17.74%)
- Context (3.46%)
In recent papers he was focusing on the following fields of study:
Francesco Palmieri mainly focuses on Artificial intelligence, Computer security, Context, Machine learning and Computer network.
His work on Artificial neural network, Deep learning and Embedding as part of general Artificial intelligence study is frequently connected to Word2vec, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His work deals with themes such as State and Focus, which intersect with Computer security.
His biological study spans a wide range of topics, including Exploit, Motion, Theoretical computer science and Bayesian network.
As a part of the same scientific family, Francesco Palmieri mostly works in the field of Theoretical computer science, focusing on Realization and, on occasion, Factor graph.
The Computer network study which covers The Internet that intersects with Anomaly detection.
Between 2018 and 2021, his most popular works were:
- Malware detection in mobile environments based on Autoencoders and API-images (24 citations)
- Detecting unfair recommendations in trust-based pervasive environments (21 citations)
- One-pass lossless data hiding and compression of remote sensing data (19 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
His primary scientific interests are in Computer security, Artificial intelligence, Authentication, Scalability and Mobile device.
His research integrates issues of Enhanced Data Rates for GSM Evolution and Mobile internet in his study of Computer security.
Francesco Palmieri has included themes like Machine learning, Time series and Computer vision in his Artificial intelligence study.
Francesco Palmieri has researched Machine learning in several fields, including Classifier and Nonlinear system.
His Mobile device research is multidisciplinary, relying on both Latency, Routing control plane, Network engineering, Load balancing and Computer network.
Francesco Palmieri combines subjects such as Efficient energy use and Integer programming with his study of Computer network.
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