Search Results - "Ramon, Jan"

Linear Programs with Conjunctive Database Queries by Capelli, Florent, Crosetti, Nicolas, Niehren, Joachim, Ramon, Jan

“…In this paper, we study the problem of optimizing a linear program whose variables are the answers to a conjunctive query. For this we propose the language…”
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IncGraph: Incremental graphlet counting for topology optimisation by Cannoodt, Robrecht, Ruyssinck, Joeri, Ramon, Jan, De Preter, Katleen, Saeys, Yvan

“…Graphlets are small network patterns that can be counted in order to characterise the structure of a network (topology). As part of a topology optimisation…”
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A machine learning based framework to identify and classify long terminal repeat retrotransposons by Schietgat, Leander, Vens, Celine, Cerri, Ricardo, Fischer, Carlos N, Costa, Eduardo, Ramon, Jan, Carareto, Claudia M A, Blockeel, Hendrik

“…Transposable elements (TEs) are repetitive nucleotide sequences that make up a large portion of eukaryotic genomes. They can move and duplicate within a…”
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A polynomial-time maximum common subgraph algorithm for outerplanar graphs and its application to chemoinformatics by Schietgat, Leander, Ramon, Jan, Bruynooghe, Maurice

“…Metrics for structured data have received an increasing interest in the machine learning community. Graphs provide a natural representation for structured…”
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Effective feature construction by maximum common subgraph sampling by Schietgat, Leander, Costa, Fabrizio, Ramon, Jan, De Raedt, Luc

“…The standard approach to feature construction and predictive learning in molecular datasets is to employ computationally expensive graph mining techniques and…”
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Frequent subgraph mining in outerplanar graphs by Horváth, Tamás, Ramon, Jan, Wrobel, Stefan

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Computerized prediction of intensive care unit discharge after cardiac surgery: development and validation of a Gaussian processes model by Meyfroidt, Geert, Güiza, Fabian, Cottem, Dominiek, De Becker, Wilfried, Van Loon, Kristien, Aerts, Jean-Marie, Berckmans, Daniël, Ramon, Jan, Bruynooghe, Maurice, Van den Berghe, Greet

“…The intensive care unit (ICU) length of stay (LOS) of patients undergoing cardiac surgery may vary considerably, and is often difficult to predict within the…”
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A lower bound on the probability that a binomial random variable is exceeding its mean by Pelekis, Christos, Ramon, Jan

“…We provide a lower bound on the probability that a binomial random variable is exceeding its mean. Our proof employs estimates on the mean absolute deviation…”
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An accurate, scalable and verifiable protocol for federated differentially private averaging by Sabater, César, Bellet, Aurélien, Ramon, Jan

“…Learning from data owned by several parties, as in federated learning, raises challenges regarding the privacy guarantees provided to participants and the…”
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Limits of multi-relational graphs by Alvarado, Juan, Wang, Yuyi, Ramon, Jan

“…Graphons are limits of large graphs. Motivated by a theoretical problem from statistical relational learning, we develop a generalization of basic results from…”
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Guest editors introduction: special issue on inductive logic programming by Davis, Jesse, Ramon, Jan

“…Issue Title: Special Issue on Inductive Logic Programming; Guest Editors: Jesse Davis and Jan Ramon…”
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Learning relational dependency networks in hybrid domains by Ravkic, Irma, Ramon, Jan, Davis, Jesse

“…Statistical relational learning (SRL) is concerned with developing formalisms for representing and learning from data that exhibit both uncertainty and…”
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Hoeffding’s Inequality for Sums of Dependent Random Variables by Pelekis, Christos, Ramon, Jan

“…Let X 1 , … , X n be, possibly dependent, [0, 1]-valued random variables. What is a sharp upper bound on the probability that their sum is significantly larger…”
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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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Predicting Tryptic Cleavage from Proteomics Data Using Decision Tree Ensembles by Fannes, Thomas, Vandermarliere, Elien, Schietgat, Leander, Degroeve, Sven, Martens, Lennart, Ramon, Jan

“…Trypsin is the workhorse protease in mass spectrometry-based proteomics experiments and is used to digest proteins into more readily analyzable peptides. To…”
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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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Machine learning applications in proteomics research: How the past can boost the future by Kelchtermans, Pieter, Bittremieux, Wout, De Grave, Kurt, Degroeve, Sven, Ramon, Jan, Laukens, Kris, Valkenborg, Dirk, Barsnes, Harald, Martens, Lennart

“…Machine learning is a subdiscipline within artificial intelligence that focuses on algorithms that allow computers to learn solving a (complex) problem from…”
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An efficiently computable subgraph pattern support measure: counting independent observations by Wang, Yuyi, Ramon, Jan, Fannes, Thomas

“…Graph support measures are functions measuring how frequently a given subgraph pattern occurs in a given database graph. An important class of support measures…”
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Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm by Schietgat, Leander, Cuissart, Bertrand, De Grave, Kurt, Efthymiadis, Kyriakos, Bureau, Ronan, Crémilleux, Bruno, Ramon, Jan, Lepailleur, Alban

“…Maximum common substructures (MCS) have received a lot of attention in the chemoinformatics community. They are typically used as a similarity measure between…”
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Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model by Ravkic, Irma, Žnidaršič, Martin, Ramon, Jan, Davis, Jesse

“…Counting the number of times a pattern occurs in a database is a fundamental data mining problem. It is a subroutine in a diverse set of tasks ranging from…”
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