15 papers · ranked by Valyu relevance
Mark Lexter D. De Lara, Sebastian Ventura
Data classification is an important aspect of machine learning, as it is utilized to solve issues in a wide variety of contexts. There are numerous classifiers, but there is no single best-performing classifier for all types of data, as the no free lunch theorem implies. Topological data analysis is an emerging topic…
Jan Kozak, Barbara Probierz, Krzysztof Kania, Przemysław Juszczuk + 1 more
Classification is one of the main problems of machine learning, and assessing the quality of classification is one of the most topical tasks, all the more difficult as it depends on many factors. Many different measures have been proposed to assess the quality of the classification, often depending on the application…
Nathan T Jacobs
Organisms are complex biological entities that are less easily defined by specific structures or sequences than molecules, nucleic acids, and antibodies. Nor are they necessarily fixed in time or reproducible by repeatable methods, given their capacity for replication and mutation. Like organisms themselves, names and…
Brooke C. Place, Cortni A. Troublefield, Robert D. Murphy, Anthony P. Sinai + 2 more
'Anthony P. Sinai' 'Abhijit R. Patwardhan' 'Saeed El-Ashram'] The mitochondrion is intimately linked to energy and overall metabolism and therefore the morphology of mitochondrion can be very informative for inferring the metabolic state of cells. In this study we report an approach for automatic classification of…
Dana V. Vazquez, Flavio E. Spetale, Amol N. Nankar, Stanislava Grozeva + 2 more
'Stanislava Grozeva' 'Gustavo R. Rodríguez' 'Gianluca Caruso'] Fruit shape significantly impacts the quality and commercial value of tomatoes (Solanum lycopersicum L.). Precise grading is essential to elucidate the genetic basis of fruit shape in breeding programs, cultivar descriptions, and variety registration.…
Ling Wang, Jiachun Ni, Changcheng Hou, Di Wu + 4 more
'Zengjin Cai' 'Wenbin Fan'] As a common benign anal condition, the high incidence and recurrence of hemorrhoids pose challenges for both patients and doctors. The classification of hemorrhoids plays a crucial role in assessing, diagnosing, and treating the condition. By using appropriate classification and…
Jianing Yang, Ran Chen, Yicheng Peng, Lingyun Zhang + 3 more
Achieving rapid and accurate object classification holds significant importance in various domains. However, conventional vision-based techniques suffer from several limitations, including high data redundancy and strong dependence on image quality. In this work, we present a high-speed, image-free object…
Piotr Borkowski, Mieczysław A. Kłopotek, Bartłomiej Starosta, Sławomir T. Wierzchoń + 2 more
'Sławomir T. Wierzchoń' 'Marcin Sydow' 'Friedhelm Schwenker'] This paper describes a new method of classification based on spectral analysis. The motivations behind developing the new model were the failures of the classical spectral cluster analysis based on combinatorial and normalized Laplacian for a set of…
Qiqin Yang, Fangru Nan, Xudong Liu, Qi Liu + 6 more
'Fei Wang' 'Shulian Xie' 'Myung Sook Kim' 'Christophe Vieira'] Batrachospermaceae is the largest family of freshwater red algae, widely distributed around the world, and plays an important role in maintaining the balance of spring and creek ecosystems. The deterioration of the current global ecological environment has…
Aarón Ayllón-Benitez, José Antonio Bernabé-Diaz, Paola Espinoza-Arias, Iker Esnaola-Gonzalez + 6 more
'Iker Esnaola-Gonzalez' 'Delphine S. A. Beeckman' 'Bonnie McCaig' 'Kristin Hanzlik' 'Toon Cools' 'Carlos Castro Iragorri' 'Nicolás Palacios'] The agricultural industry and regulatory organizations define strategies and build tools and products for plant protection against pests. To identify different plants and their…
Lars Vogt, István Mikó, Thomas Bartolomaeus
Background In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important and with them the need for FAIR (Findable, Accessible, Interoperable, Reusable) and eScience-compliant data and metadata standards. Ontologies, with their queryable knowledge resources…
Jingdong Diao, Qingrui Zhou, Hui Wang, Ying Yang + 2 more
'Ikhlas Abdel-Qader'] Aiming at multiple quantities and types of targets, multi-class multi-target tracking usually faces not only cardinality errors, but also mis-classification problems. Considering its performance evaluation, the traditional optimal subpattern assignment (OSPA) method tends to calculate a separate…
Honglin Xiong, Hongmin Chen, Li Xu, Hong Liu + 3 more
'Qifeng Tang' 'Hsunfang Cho'] Artificial intelligence (AI) based on the perspective of data elements is widely used in the healthcare informatics domain. Large amounts of clinical data from electronic medical records (EMRs), electronic health records (EHRs), and electroencephalography records (EEGs) have been generated…
Laura D’Addezio, Stefania Sette, Raffaela Piccinelli, Cinzia Le Donne + 2 more
Estimating the habitual food and nutrient intakes of a population is based on dietary assessment methods that collect detailed information on food consumption. Establishing the list of foods to be used for collecting data in dietary surveys is central to standardizing data collection. Comparing foods across different…
Dongmei Zhao, Hongbin Wang, Yaxing Wu
Generalized network security situation awareness technology is divided into three processes: situation element extraction, situation understanding, and situation prediction. Situation element extraction is the most critical step in the whole process, and its extraction quality will directly affect the accuracy of…