What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer network
Roger Zimmermann mainly investigates Computer network, Artificial intelligence, Scalability, Mobile device and Distributed computing.
His Computer network research integrates issues from Data stream and Adaptation.
His studies in Artificial intelligence integrate themes in fields like Natural language processing, Task, Computer vision, PageRank and Ranking.
His Scalability study combines topics from a wide range of disciplines, such as Block, The Internet, Disk array controller and Parallel computing.
His studies deal with areas such as Multimedia, Range query and Location-based service as well as Mobile device.
His Distributed computing research is multidisciplinary, incorporating elements of Multimedia servers, Server and Mobile computing.
His most cited work include:
- Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation (137 citations)
- Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. (115 citations)
- Dynamic Urban Surveillance Video Stream Processing Using Fog Computing (115 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Multimedia, Computer network, Scalability and Distributed computing.
His work in Artificial intelligence tackles topics such as Computer vision which are related to areas like Search engine indexing.
His Multimedia study incorporates themes from Virtual machine and World Wide Web, The Internet, Mobile device.
Roger Zimmermann works in the field of Computer network, focusing on Bandwidth in particular.
As part of his studies on Scalability, he often connects relevant subjects like Data mining.
His studies examine the connections between Distributed computing and genetics, as well as such issues in Server, with regards to Real-time computing.
He most often published in these fields:
- Artificial intelligence (22.60%)
- Multimedia (18.18%)
- Computer network (13.51%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (22.60%)
- Natural language processing (6.49%)
- Machine learning (4.16%)
In recent papers he was focusing on the following fields of study:
Roger Zimmermann mainly focuses on Artificial intelligence, Natural language processing, Machine learning, Task and Deep learning.
Roger Zimmermann combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence.
The concepts of his Natural language processing study are interwoven with issues in Transfer of learning, Context, Kappa and Word2vec.
His Task research includes elements of Vocabulary and Data science.
His research integrates issues of Motion interpolation and Interpolation in his study of Deep learning.
His study focuses on the intersection of Image segmentation and fields such as Convolutional neural network with connections in the field of Feature extraction.
Between 2018 and 2021, his most popular works were:
- A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP (107 citations)
- Towards Natural and Accurate Future Motion Prediction of Humans and Animals (25 citations)
- Bandwidth prediction in low-latency chunked streaming (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer network
Roger Zimmermann mostly deals with Artificial intelligence, Natural language processing, Deep learning, Task and Set.
His Artificial intelligence research includes themes of Machine learning and Pattern recognition.
As part of the same scientific family, Roger Zimmermann usually focuses on Natural language processing, concentrating on Sequence labeling and intersecting with SemEval.
His Task research incorporates themes from Context, Conversation, Sentence, Transfer of learning and Supervised learning.
His Convolutional neural network research is multidisciplinary, relying on both Parallel processing, Mobile device and GrabCut.
As a part of the same scientific family, Roger Zimmermann mostly works in the field of Embedding, focusing on Data mining and, on occasion, Global Positioning System.
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