Search Results - "Soldatova, Larisa N."

Automation of Science by King, Ross D, Rowland, Jem, Oliver, Stephen G, Young, Michael, Aubrey, Wayne, Byrne, Emma, Liakata, Maria, Markham, Magdalena, Pir, Pinar, Soldatova, Larisa N, Sparkes, Andrew, Whelan, Kenneth E, Clare, Amanda

“…The basis of science is the hypothetico-deductive method and the recording of experiments in sufficient detail to enable reproducibility. We report the…”
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An ontology of scientific experiments by Soldatova, Larisa N, King, Ross D

“…The formal description of experiments for efficient analysis, annotation and sharing of results is a fundamental part of the practice of science. Ontologies…”
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EXACT2: the semantics of biomedical protocols by Soldatova, Larisa N, Nadis, Daniel, King, Ross D, Basu, Piyali S, Haddi, Emma, Baumlé, Véronique, Saunders, Nigel J, Marwan, Wolfgang, Rudkin, Brian B

“…The reliability and reproducibility of experimental procedures is a cornerstone of scientific practice. There is a pressing technological need for the better…”
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An ontology for a Robot Scientist by Soldatova, Larisa N., Clare, Amanda, Sparkes, Andrew, King, Ross D.

“…Motivation: A Robot Scientist is a physically implemented robotic system that can automatically carry out cycles of scientific experimentation. We are…”
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The EXACT description of biomedical protocols by Soldatova, Larisa N., Aubrey, Wayne, King, Ross D., Clare, Amanda

“…Motivation: Many published manuscripts contain experiment protocols which are poorly described or deficient in information. This means that the published…”
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Representation of research hypotheses by Soldatova, Larisa N, Rzhetsky, Andrey

“…Hypotheses are now being automatically produced on an industrial scale by computers in biology, e.g. the annotation of a genome is essentially a large set of…”
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On the formalization and reuse of scientific research by King, Ross D., Liakata, Maria, Lu, Chuan, Oliver, Stephen G., Soldatova, Larisa N.

“…The reuse of scientific knowledge obtained from one investigation in another investigation is basic to the advance of science. Scientific investigations should…”
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Transformational machine learning: Learning how to learn from many related scientific problems by Olier, Ivan, Orhobor, Oghenejokpeme I., Dash, Tirtharaj, Davis, Andy M., Soldatova, Larisa N., Vanschoren, Joaquin, King, Ross D.

“…Almost all machine learning (ML) is based on representing examples using intrinsic features. When there are multiple related ML problems (tasks), it is…”
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Generic ontology of datatypes by Panov, Panče, Soldatova, Larisa N., Džeroski, Sašo

“…We present OntoDT, a generic ontology for the representation of scientific knowledge about datatypes. OntoDT defines basic entities, such as datatype,…”
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Imbalanced regression using regressor-classifier ensembles by Orhobor, Oghenejokpeme I., Grinberg, Nastasiya F., Soldatova, Larisa N., King, Ross D.

“…We present an extension to the federated ensemble regression using classification algorithm, an ensemble learning algorithm for regression problems which…”
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Cheaper faster drug development validated by the repositioning of drugs against neglected tropical diseases by Williams, Kevin, Bilsland, Elizabeth, Sparkes, Andrew, Aubrey, Wayne, Young, Michael, Soldatova, Larisa N., De Grave, Kurt, Ramon, Jan, de Clare, Michaela, Sirawaraporn, Worachart, Oliver, Stephen G., King, Ross D.

“…There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic…”
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Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast by Coutant, Anthony, Roper, Katherine, Trejo-Banos, Daniel, Bouthinon, Dominique, Carpenter, Martin, Grzebyta, Jacek, Santini, Guillaume, Soldano, Henry, Elati, Mohamed, Ramon, Jan, Rouveirol, Celine, Soldatova, Larisa N., King, Ross D.

“…One of the most challenging tasks in modern science is the development of systems biology models: Existing models are often very complex but generally have low…”
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An Ontology for Description of Drug Discovery Investigations by Qi, Da, King, Ross D., Hopkins, Andrew L., Bickerton, G. Richard J., Soldatova, Larisa N.

“…The paper presents an ontology for the description of Drug Discovery Investigation (DDI). This has been developed through the use of a Robot Scientist “Eve”,…”
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Modeling biomedical experimental processes with OBI by Brinkman, Ryan R, Courtot, Mélanie, Derom, Dirk, Fostel, Jennifer M, He, Yongqun, Lord, Phillip, Malone, James, Parkinson, Helen, Peters, Bjoern, Rocca-Serra, Philippe, Ruttenberg, Alan, Sansone, Susanna-Assunta, Soldatova, Larisa N, Stoeckert, Jr, Christian J, Turner, Jessica A, Zheng, Jie

“…Experimental descriptions are typically stored as free text without using standardized terminology, creating challenges in comparison, reproduction and…”
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Genesis-DB: a database for autonomous laboratory systems by Reder, Gabriel K, Gower, Alexander H, Kronström, Filip, Halle, Rushikesh, Mahamuni, Vinay, Patel, Amit, Hayatnagarkar, Harshal, Soldatova, Larisa N, King, Ross D

“…Abstract Summary Artificial intelligence (AI)-driven laboratory automation—combining robotic labware and autonomous software agents—is a powerful trend in…”
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Are the current ontologies in biology good ontologies? by Soldatova, Larisa N, King, Ross D

“…The failure of many bio-ontologies to follow international standards for ontology design and description is hampering their application and threatens to…”
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Towards Robot Scientists for autonomous scientific discovery by Sparkes, Andrew, Aubrey, Wayne, Byrne, Emma, Clare, Amanda, Khan, Muhammed N, Liakata, Maria, Markham, Magdalena, Rowland, Jem, Soldatova, Larisa N, Whelan, Kenneth E, Young, Michael, King, Ross D

“…We review the main components of autonomous scientific discovery, and how they lead to the concept of a Robot Scientist. This is a system which uses techniques…”
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Special issue on bio-ontologies and phenotypes by Soldatova, Larisa N, Collier, Nigel, Oellrich, Anika, Groza, Tudor, Verspoor, Karin, Rocca-Serra, Philippe, Dumontier, Michel, Shah, Nigam H

“…The bio-ontologies and phenotypes special issue includes eight papers selected from the 11 papers presented at the Bio-Ontologies SIG (Special Interest Group)…”
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Representation of probabilistic scientific knowledge by Soldatova, Larisa N, Rzhetsky, Andrey, De Grave, Kurt, King, Ross D

“…The theory of probability is widely used in biomedical research for data analysis and modelling. In previous work the probabilities of the research hypotheses…”
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Selected papers from the 16th Annual Bio-Ontologies Special Interest Group Meeting by Soldatova, Larisa N, Rocca-Serra, Philippe, Dumontier, Michel, Shah, Nigam H

“…Over the 16 years, the Bio-Ontologies SIG at ISMB has provided a forum for vibrant discussions of the latest and most innovative advances in the research area…”
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