What is he best known for?
The fields of study Giorgio Fumera is best known for:
- Machine learning
- Support vector machine
- Computer security
As a member of one scientific family, Giorgio Fumera mostly works in the field of Subject (documents), focusing on World Wide Web and, on occasion, The Internet.
Giorgio Fumera performs multidisciplinary studies into The Internet and World Wide Web in his work.
His Parsing research extends to the thematically linked field of Artificial intelligence.
He incorporates Machine learning and Data science in his studies.
He integrates many fields, such as Data science and Artificial intelligence, in his works.
He conducts interdisciplinary study in the fields of Computer security and Exploit through his works.
With his scientific publications, his incorporates both Exploit and Computer security.
His research combines Linear classifier and Classifier (UML).
Many of his studies involve connections with topics such as Classifier (UML) and Linear classifier.
His most cited work include:
- A theoretical and experimental analysis of linear combiners for multiple classifier systems (283 citations)
- Security Evaluation of Pattern Classifiers under Attack (263 citations)
- Multiple classifier systems for robust classifier design in adversarial environments (169 citations)
What are the main themes of his work throughout his whole career to date
His biological study spans a wide range of topics, including Programming language, Classifier (UML) and Image (mathematics), Computer vision.
His studies link Adversarial system with Artificial intelligence.
In his research, Giorgio Fumera performs multidisciplinary study on Machine learning and Statistics.
His work often combines Statistics and Machine learning studies.
Computer security and Biometrics are two areas of study in which Giorgio Fumera engages in interdisciplinary work.
He conducts interdisciplinary study in the fields of Biometrics and Computer security through his works.
In his works, Giorgio Fumera performs multidisciplinary study on Algorithm and Artificial intelligence.
His research combines Robustness (evolution) and Biochemistry.
While working in this field, Giorgio Fumera studies both Robustness (evolution) and Gene.
Giorgio Fumera most often published in these fields:
- Artificial intelligence (96.67%)
- Machine learning (73.33%)
- Pattern recognition (psychology) (66.67%)
What were the highlights of his more recent work (between 2018-2021)?
- Machine learning (80.00%)
- Artificial intelligence (80.00%)
- Pattern recognition (psychology) (60.00%)
In recent works Giorgio Fumera was focusing on the following fields of study:
Giorgio Fumera integrates many fields, such as Machine learning and Natural language processing, in his works.
Giorgio Fumera incorporates Natural language processing and Hidden Markov model in his studies.
He brings together Hidden Markov model and Machine learning to produce work in his papers.
His research is interdisciplinary, bridging the disciplines of Pattern recognition (psychology) and Artificial intelligence.
The study of Pattern recognition (psychology) is intertwined with the study of Artificial intelligence in a number of ways.
His multidisciplinary approach integrates Linguistics and Gesture in his work.
His multidisciplinary approach integrates Gesture and Gesture recognition in his work.
His work on Measure (data warehouse) is being expanded to include thematically relevant topics such as Data mining.
Data mining connects with themes related to Measure (data warehouse) in his study.
Between 2018 and 2021, his most popular works were:
- F-measure curves: A tool to visualize classifier performance under imbalance (37 citations)
- A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process (27 citations)
- Deep neural rejection against adversarial examples (20 citations)
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