What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Computer vision
- Operating system
Andrea Prati mainly investigates Artificial intelligence, Computer vision, Object detection, Shadow and Image segmentation.
Andrea Prati combines subjects such as Detector and Pattern recognition with her study of Artificial intelligence.
Her research is interdisciplinary, bridging the disciplines of Algorithm and Computer vision.
Her Object detection research focuses on subjects like Feature extraction, which are linked to Support vector machine, Face detection and Histogram of oriented gradients.
Her Shadow research includes themes of Motion estimation, Motion detection and Robustness.
Her study in Image segmentation is interdisciplinary in nature, drawing from both Multimedia and Video processing.
Her most cited work include:
- Detecting moving objects, ghosts, and shadows in video streams (1284 citations)
- Detecting moving shadows: algorithms and evaluation (735 citations)
- Improving shadow suppression in moving object detection with HSV color information (417 citations)
What are the main themes of her work throughout her whole career to date?
Andrea Prati mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Object detection and Multimedia.
Andrea Prati usually deals with Artificial intelligence and limits it to topics linked to Machine learning and Classifier.
Her work on Tracking, Image segmentation, Shadow and Image processing as part of general Computer vision study is frequently linked to Geography, therefore connecting diverse disciplines of science.
Her study looks at the relationship between Object detection and fields such as Feature extraction, as well as how they intersect with chemical problems.
Her Multimedia study incorporates themes from Transcoding and Cache.
Her Segmentation study combines topics in areas such as Motion estimation, Background subtraction and Frame rate.
She most often published in these fields:
- Artificial intelligence (64.84%)
- Computer vision (43.38%)
- Pattern recognition (15.53%)
What were the highlights of her more recent work (between 2018-2021)?
- Artificial intelligence (64.84%)
- Data mining (5.48%)
- Image retrieval (7.76%)
In recent papers she was focusing on the following fields of study:
Andrea Prati spends much of her time researching Artificial intelligence, Data mining, Image retrieval, Deep learning and Algorithm.
Her research brings together the fields of Machine learning and Artificial intelligence.
The concepts of her Data mining study are interwoven with issues in Feature, Object detection, Content-based image retrieval, Minimum bounding box and Region of interest.
Her studies deal with areas such as Transfer of learning, Segmentation and Information retrieval as well as Deep learning.
Segmentation is a subfield of Computer vision that Andrea Prati investigates.
The study incorporates disciplines such as Parametric family, Similarity and Computer graphics in addition to Algorithm.
Between 2018 and 2021, her most popular works were:
- Sensors, vision and networks: From video surveillance to activity recognition and health monitoring (29 citations)
- Adversarial Training for Aspect-Based Sentiment Analysis with BERT. (20 citations)
- Large-Scale Image Geo-Localization Using Dominant Sets (16 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Operating system
Her primary areas of investigation include Artificial intelligence, Human–computer interaction, Deep learning, Data mining and Algorithm.
Artificial intelligence is a component of her Robustness, Language model, Sentiment analysis, Adversarial system and Artificial neural network studies.
The Robustness study combines topics in areas such as Global Positioning System and Pattern recognition.
Her Deep learning research is multidisciplinary, relying on both Image quality, Image synthesis and Image processing.
Her Data mining research incorporates themes from Content-based image retrieval and Feature.
Her study looks at the intersection of Algorithm and topics like Pattern recognition with Cluster analysis.
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