28 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…
Casey Garner, Allen Holder
Classifications organize entities into categories that identify similarities within a category and discern dissimilarities among categories, and they powerfully classify information in support of analysis. We propose a new classification scheme premised on the reality of imperfect data. Our computational model uses…
Mario Franco, Gerardo L. Febres, Nelson Fernández, Carlos Gershenson
Classification is a ubiquitous and fundamental problem in artificial intelligence and machine learning, with extensive efforts dedicated to developing more powerful classifiers and larger datasets. However, the classification task is ultimately constrained by the intrinsic properties of datasets, independently of…
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…
Joeri Morpurgo, Roy P. Remme, Peter M. Van Bodegom
Green infrastructure (GI) classifications are widely applied to predict and assess its suitability for urban biodiversity and ecosystem service (ES) provisioning. However, there is no consolidated classification, which hampers elucidating synthesis and consolidated relationships across ES and biodiversity. In this…
Rene Vernon
This paper updates my 2020 article, “Organising the metals and nonmetals” in which I advocated for parsing the periodic table into four kinds of metals and four of nonmetals. This framework is retained and updated, and augmented with some additional chemistry-related and philosophical observations.
Ruither A. L. Gomes, F. Murilo Zerbini
Taxonomy, defined as the classification of different objects/organisms into defined stable hierarchical categories (taxa), is fundamental for proper scientific communication. In virology, taxonomic assignments based on sequence alone are now possible and their use may contribute to a more precise and comprehensive…
Melvin Mokhtari
As the field of data analysis grows rapidly due to the large amounts of data being generated, effective data classification has become increasingly important. This paper introduces the RUle Mutation Classifier (RUMC), which represents a significant improvement over the Rule Aggregation ClassifiER (RACER). RUMC uses…
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…
Luis J. Vidal, Joan Carles Pons, Mateus B. Fiamenghi, Nikos Kyrpides + 1 more
Rapid expansion of viral sequence data demands classifiers that scale, track ICTV updates, and provide interpretable evidence. We present VPF-Class 2.0, an updated successor to VPF-Class, centred on the taxonomic classification, that retains marker-driven protein domain detection but replaces rule-based voting with a…
Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M. R. Mann + 3 more
Cameras and computer vision are revolutionising the study of insects, creating new research opportunities within agriculture, epidemiology, evolution, ecology and monitoring of biodiversity. However, a major challenge is the diversity of insects and close resemblances of many species combined with computer vision are…
Cecilia Latotzke, Johnson Loh, Tobias Gemmeke
Machine-learning classifiers provide high quality of service in classification tasks. Research now targets cost reduction measured in terms of average processing time or energy per solution. Revisiting the concept of cascaded classifiers, we present a first of its kind analysis of optimal pass-on criteria between the…
D. Malyshev, Aakash Bhat
In the paper we develop multi-class classification of Fermi-LAT gamma-ray sources using machine learning with hierarchical determination of classes. One of the main challenges in the multi-class classification of the Fermi-LAT sources is that the size of some of the classes is relatively small, for example with less…
Maliheh Miri, Mohammad Taghi Sadeghi, Vahid Abootalebi
Sparse representation of signals has achieved satisfactory results in classification applications compared to the conventional methods. Microarray data, which are obtained from monitoring the expression levels of thousands of genes simultaneously, have very high dimensions in relation to the small number of samples.…
Haoning Li, Cong Wang, Qinghua Huang
Classification Authors: ['Haoning Li' 'Cong Wang' 'Qinghua Huang'] Abstract—The feature selection in a traditional binary classification algorithm is always used in the stage of dataset preprocessing, which makes the obtained features not necessarily the best ones for the classification algorithm, thus affecting the…
Saer Samanipour, Jake O'Brien, Malcolm Reid, Kevin Thomas + 1 more
The European Chemicals Agency (ECHA) and US Environmental Protection Agency (EPA) have listed approximately 800k chemicals that must be further investigated for their potential environmental and/or human health risk. A significant number of these chemicals have large enough global volumes of consumption (e.g.…
Saer Samanipour, Jake O'Brien, Malcolm Reid, Kevin Thomas + 1 more
The European Chemicals Agency (ECHA) and US Environmental Protection Agency (EPA) have listed approximately 800k chemicals that must be further investigated for their potential environmental and/or human health risk. A significant number of these chemicals have large enough global volumes of consumption (e.g.…
Richardson Ciguene, Julien Mozziconacci, Francis Clément, Aurélien Miralles
The species inventory of global biodiversity is constantly revised and refined by taxonomic research, through the addition of newly discovered species. This almost three century old project provide a knowledge foundation essential for humankind, and notably to develop appropriate conservation strategies. This task…
Authors not listed
This research delves into olfaction, a sensory modality that remains complex and inadequately understood. We aim to fill in two gaps in recent studies that attempted to use machine learning and deep learning approaches to predict human smell perception. The first one is that molecules are usually represented with…
Saer Samanipour, Jake O'Brien, Malcolm Reid, Kevin Thomas + 1 more
The European and US chemical agencies have listed approximately 800k chemicals where knowledge on potential risks to human health and the environment are lacking. Filling these data gaps experimentally is impossible so in-silico approaches and prediction are essential. Many existing models are however limited by…
Mauro Andrés Nievas Offidani, Facundo Roffet, Claudio Delrieux, Maria Carolina Gonzalez Galtier + 1 more
classifiers through problem transformation, ontology engineering, and model ensembling Authors: ['Mauro Andrés Nievas Offidani' 'Facundo Roffet' 'Claudio Delrieux' 'Maria Carolina Gonzalez Galtier' 'Marcos Zárate'] Abstract. Classification is a fundamental task in machine learning. While conventional methods—such as…
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…
M. Timothy Rabanus-Wallace, Nils Stein
To maximise the benefit of exploiting genebank resources, accurate and complete taxonomic assignments are imperative. The rise of genebank genomics allows genetic methods to be used for this task, but these need to be largely automated since the number of samples dealt with is too great for efficient manual…
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…
Boqian Wang, Jianglin Zhou, Yuan Jin, Mingda Hu + 5 more
The taxonomy research on the bacterial kingdom is important and can be usually conducted by the analysis on conserved genes, 16s rRNA, protein domain, and so on. Comparatively, the protein domains maintain a most direct relationship with phenotypes. In this paper, based on the protein domain, we propose a 3-step…
Kunal Lodaya, Nathan Ricke, Kelly Chen, Troy Van Voorhis
Graphite-conjugated catalysts (GCCs) are a promising class of materials that combine many of the advantages of heterogenous and homogeneous catalysts. In particular, GCCs containing an aryl-pyridinium active site appear to be effective nonmetal catalysts for the oxygen reduction reaction (ORR). In this study, we…
Peter F. Patel‐Schneider, Ege Atacan Doğan
Wikidata has a large ontology with classes at several orders. The Wikidata ontology has long been known to have violations of class order and information related to class order that appears suspect. SPARQL queries were evaluated against Wikidata to determine the prevalence of several kinds of violations and suspect…