What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Artificial neural network
His primary areas of study are Artificial intelligence, Artificial neural network, Data mining, Computational intelligence and Pattern recognition.
The Artificial intelligence study combines topics in areas such as Machine learning and Theoretical computer science.
His biological study spans a wide range of topics, including Adaptive system and Fuzzy control system.
His study in Data mining focuses on Decision tree in particular.
He focuses mostly in the field of Computational intelligence, narrowing it down to matters related to Data science and, in some cases, Intelligent decision support system and Management science.
The study incorporates disciplines such as Entropy, Clustering high-dimensional data, Filter and Selection in addition to Pattern recognition.
His most cited work include:
- A shared task involving multi-label classification of clinical free text (279 citations)
- A new methodology of extraction, optimization and application of crisp and fuzzy logical rules (242 citations)
- Computational intelligence methods for rule-based data understanding (179 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Artificial neural network, Machine learning, Pattern recognition and Data mining.
Artificial intelligence is frequently linked to Natural language processing in his study.
His studies deal with areas such as Semantic memory, Information retrieval and Knowledge representation and reasoning as well as Natural language processing.
His work carried out in the field of Artificial neural network brings together such families of science as Algorithm and Fuzzy logic.
His Machine learning research includes themes of Fuzzy rule and Meta learning.
His primary area of study in Data mining is in the field of Decision tree.
He most often published in these fields:
- Artificial intelligence (55.39%)
- Artificial neural network (33.46%)
- Machine learning (15.99%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (55.39%)
- Electroencephalography (2.60%)
- Neuroscience (2.97%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Electroencephalography, Neuroscience, Artificial neural network and Pattern recognition.
Włodzisław Duch connects Artificial intelligence with Art in his research.
His work in the fields of Brain activity and meditation overlaps with other areas such as Tracing.
His work on Auditory cortex, Elementary cognitive task, Neuroplasticity and Brainstem as part of general Neuroscience study is frequently linked to Sensory deprivation, bridging the gap between disciplines.
His Artificial neural network study combines topics from a wide range of disciplines, such as Computational neuroscience, Class and Central nervous system.
Włodzisław Duch combines subjects such as Regularization and Sample with his study of Pattern recognition.
Between 2015 and 2021, his most popular works were:
- Transition of the functional brain network related to increasing cognitive demands (41 citations)
- Dynamic reconfiguration of functional brain networks during working memory training. (32 citations)
- Neural network modelling of the influence of channelopathies on reflex visual attention. (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Quantum mechanics
Włodzisław Duch mainly investigates Cognition, Working memory training, Default mode network, Modularity and Cognitive psychology.
His study in Cognition is interdisciplinary in nature, drawing from both Social psychology, Information processing and Psychoanalysis.
His Working memory training research is multidisciplinary, incorporating elements of Resting state fMRI, Context, Cognitive training and Human brain.
The various areas that Włodzisław Duch examines in his Default mode network study include Workspace and Dynamic network analysis.
He has researched Cognitive psychology in several fields, including DUAL, Visual attention, Reflex and Word error rate.
Other disciplines of study, such as Computer architecture, Functional brain, Human–computer interaction, Adaptation and Brain mapping, are mixed together with his Control reconfiguration studies.
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