CAVER 3.0: a tool for the analysis of transport pathways in dynamic protein structures
Tunnels and channels facilitate the transport of small molecules, ions and water solvent in a
large variety of proteins. Characteristics of individual transport pathways, including their …
large variety of proteins. Characteristics of individual transport pathways, including their …
WSN‐DS: a dataset for intrusion detection systems in wireless sensor networks
Wireless Sensor Networks (WSN) have become increasingly one of the hottest research
areas in computer science due to their wide range of applications including critical military …
areas in computer science due to their wide range of applications including critical military …
Complex power system status monitoring and evaluation using big data platform and machine learning algorithms: a review and a case study
Efficient and valuable strategies provided by large amount of available data are urgently
needed for a sustainable electricity system that includes smart grid technologies and very …
needed for a sustainable electricity system that includes smart grid technologies and very …
Software tools for learning artificial intelligence algorithms
S Stamenković, N Jovanović, B Vasović… - Artificial Intelligence …, 2023 - Springer
In recent years, artificial intelligence has become an important discipline in the field of
computer science. Students, in the absence of basic prior knowledge, may have difficulty …
computer science. Students, in the absence of basic prior knowledge, may have difficulty …
Accurate multi-criteria decision making methodology for recommending machine learning algorithm
Objective Manual evaluation of machine learning algorithms and selection of a suitable
classifier from the list of available candidate classifiers, is highly time consuming and …
classifier from the list of available candidate classifiers, is highly time consuming and …
Unsupervised generation of data mining features from linked open data
H Paulheim, J Fümkranz - … of the 2nd international conference on web …, 2012 - dl.acm.org
The quality of the results of a data mining process strongly depends on the quality of the
data it processes. A good result is more likely to obtain the more useful background …
data it processes. A good result is more likely to obtain the more useful background …
Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis (M. tb),
causes highest number of deaths globally for any bacterial disease necessitating novel …
causes highest number of deaths globally for any bacterial disease necessitating novel …
SAT-based rigorous explanations for decision lists
A Ignatiev, J Marques-Silva - … and Applications of Satisfiability Testing–SAT …, 2021 - Springer
Decision lists (DLs) find a wide range of uses for classification problems in Machine
Learning (ML), being implemented in anumber of ML frameworks. DLs are often perceived …
Learning (ML), being implemented in anumber of ML frameworks. DLs are often perceived …
An enhanced J48 classification algorithm for the anomaly intrusion detection systems
S Aljawarneh, MB Yassein, M Aljundi - Cluster Computing, 2019 - Springer
In this paper, we have developed an enhanced J48 algorithm, which uses the J48 algorithm
for improving the detection accuracy and the performance of the novel IDS technique. This …
for improving the detection accuracy and the performance of the novel IDS technique. This …
Exploiting the ensemble paradigm for stable feature selection: a case study on high-dimensional genomic data
B Pes, N Dessì, M Angioni - Information fusion, 2017 - Elsevier
Ensemble classification is a well-established approach that involves fusing the decisions of
multiple predictive models. A similar “ensemble logic” has been recently applied to …
multiple predictive models. A similar “ensemble logic” has been recently applied to …