What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Statistics
Sankar K. Pal spends much of his time researching Artificial intelligence, Pattern recognition, Fuzzy set, Fuzzy logic and Pattern recognition.
Sankar K. Pal interconnects Machine learning and Data mining in the investigation of issues within Artificial intelligence.
The various areas that Sankar K. Pal examines in his Pattern recognition study include Image processing, Entropy and Cluster analysis.
Sankar K. Pal works mostly in the field of Cluster analysis, limiting it down to topics relating to Segmentation and, in certain cases, Thresholding, as a part of the same area of interest.
His Fuzzy logic study which covers Pixel that intersects with Smoothing.
His Pattern recognition study incorporates themes from Range and Feature.
His most cited work include:
- A review on image segmentation techniques (2991 citations)
- Unsupervised feature selection using feature similarity (1132 citations)
- Multilayer perceptron, fuzzy sets, and classification (698 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Pattern recognition, Fuzzy logic, Fuzzy set and Data mining.
His Artificial intelligence research incorporates elements of Machine learning and Computer vision.
His Pattern recognition research includes elements of Entropy, Neuro-fuzzy and Cluster analysis.
His Fuzzy set research includes themes of Image processing, Algorithm and Ambiguity.
His Algorithm research is multidisciplinary, incorporating elements of Genetic algorithm and Mathematical optimization.
He works mostly in the field of Fuzzy classification, limiting it down to topics relating to Fuzzy set operations and, in certain cases, Defuzzification.
He most often published in these fields:
- Artificial intelligence (63.30%)
- Pattern recognition (37.73%)
- Fuzzy logic (25.98%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (63.30%)
- Pattern recognition (37.73%)
- Rough set (18.14%)
In recent papers he was focusing on the following fields of study:
Sankar K. Pal mainly focuses on Artificial intelligence, Pattern recognition, Rough set, Granular computing and Data mining.
In his study, which falls under the umbrella issue of Artificial intelligence, Deep learning is strongly linked to Computer vision.
His Rough set research is multidisciplinary, relying on both Video tracking, Fuzzy set, Probabilistic logic and Image processing.
His research investigates the connection between Granular computing and topics such as Social network that intersect with problems in Node.
His studies link Fuzzy clustering with Data mining.
As a member of one scientific family, Sankar K. Pal mostly works in the field of Artificial neural network, focusing on Feature selection and, on occasion, Cluster analysis, Decision table and Self-organizing map.
Between 2013 and 2021, his most popular works were:
- Rough Sets, Kernel Set, and Spatiotemporal Outlier Detection (42 citations)
- Fuzzy-rough community in social networks (40 citations)
- FGSN: Fuzzy Granular Social Networks – Model and applications (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
Artificial intelligence, Data mining, Rough set, Cognitive science and Fuzzy logic are his primary areas of study.
His Artificial intelligence study integrates concerns from other disciplines, such as Computer vision and Pattern recognition.
His biological study spans a wide range of topics, including Ranking, microRNA, Entropy and Fuzzy clustering.
His work investigates the relationship between Data mining and topics such as Fuzzy set that intersect with problems in Outlier, Set theory, Knowledge extraction, Kernel and Anomaly detection.
His Rough set research incorporates themes from Video tracking and Text mining.
His biological study deals with issues like Entropy, which deal with fields such as Probabilistic logic, Video sequence, Speedup and Cluster analysis.
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