Search Results - "Levatic, Jurica"

Semi-Supervised Multi-Label Classification of Land Use/Land Cover in Remote Sensing Images With Predictive Clustering Trees and Ensembles by Stoimchev, Marjan, Levatic, Jurica, Kocev, Dragi, Dzeroski, Saso

“…The task of remote sensing image (RSI) classification has been studied extensively in the geoscience and remote sensing (RS) community. While deep learning…”
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A framework for mutational signature analysis based on DNA shape parameters by Karolak, Aleksandra, Levatić, Jurica, Supek, Fran

“…The mutation risk of a DNA locus depends on its oligonucleotide context. In turn, mutability of oligonucleotides varies across individuals, due to exposure to…”
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Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification by Levatić, Jurica, Ceci, Michelangelo, Kocev, Dragi, Džeroski, Sašo

“…Semi-supervised learning (SSL) is a common approach to learning predictive models using not only labeled, but also unlabeled examples. While SSL for the simple…”
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Semi-supervised trees for multi-target regression by Levatić, Jurica, Kocev, Dragi, Ceci, Michelangelo, Džeroski, Sašo

“…The predictive performance of traditional supervised methods heavily depends on the amount of labeled data. However, obtaining labels is a difficult process in…”
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Semi-supervised regression trees with application to QSAR modelling by Levatić, Jurica, Ceci, Michelangelo, Stepišnik, Tomaž, Džeroski, Sašo, Kocev, Dragi

“…•Obtaining labelled data for many domains is a very difficult and expensive task.•Semi-supervised learning leverages the information from labelled and…”
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Self-training for multi-target regression with tree ensembles by Levatić, Jurica, Ceci, Michelangelo, Kocev, Dragi, Džeroski, Sašo

“…Semi-supervised learning (SSL) aims to use unlabeled data as an additional source of information in order to improve upon the performance of supervised…”
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Semi-supervised classification trees by Levatić, Jurica, Ceci, Michelangelo, Kocev, Dragi, Džeroski, Sašo

“…In many real-life problems, obtaining labelled data can be a very expensive and laborious task, while unlabeled data can be abundant. The availability of…”
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CLUSplus: A decision tree-based framework for predicting structured outputs by Petković, Matej, Levatić, Jurica, Kocev, Dragi, Breskvar, Martin, Džeroski, Sašo

“…We present CLUSplus, a machine learning framework based on decision trees specialized for complex predictive modeling tasks. We provide the scientific…”
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The importance of the label hierarchy in hierarchical multi-label classification by Levatić, Jurica, Kocev, Dragi, Džeroski, Sašo

“…We address the task of hierarchical multi-label classification (HMC). HMC is a task of structured output prediction where the classes are organized into a…”
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Exploiting partially-labeled data in learning predictive clustering trees for multi-target regression: A case study of water quality assessment in Ireland by Nikoloski, Stevanche, Kocev, Dragi, Levatić, Jurica, Wall, David P., Džeroski, Sašo

“…Many environmental problems give rise to predictive modeling tasks where several dependent variables need to be predicted simultaneousy from a given set of…”
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Machine learning prioritizes synthesis of primaquine ureidoamides with high antimalarial activity and attenuated cytotoxicity by Levatić, Jurica, Pavić, Kristina, Perković, Ivana, Uzelac, Lidija, Ester, Katja, Kralj, Marijeta, Kaiser, Marcel, Rottmann, Matthias, Supek, Fran, Zorc, Branka

“…Primaquine (PQ) is a commonly used drug that can prevent the transmission of Plasmodium falciparum malaria, however toxicity limits its use. We prepared five…”
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Community structure models are improved by exploiting taxonomic rank with predictive clustering trees by Levatić, Jurica, Kocev, Dragi, Debeljak, Marko, Džeroski, Sašo

“…•We build four types of community structure models for three different ecosystems.•We explore how taxonomic rank and multi-species data influence model…”
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Mutational signatures are markers of drug sensitivity of cancer cells by Levatić, Jurica, Salvadores, Marina, Fuster-Tormo, Francisco, Supek, Fran

“…Genomic analyses have revealed mutational footprints associated with DNA maintenance gone awry, or with mutagen exposures. Because cancer therapeutics often…”
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Accurate Models for P‑gp Drug Recognition Induced from a Cancer Cell Line Cytotoxicity Screen by Levatić, Jurica, Ćurak, Jasna, Kralj, Marijeta, Šmuc, Tomislav, Osmak, Maja, Supek, Fran

“…P-glycoprotein (P-gp, MDR1) is a promiscuous drug efflux pump of substantial pharmacological importance. Taking advantage of large-scale cytotoxicity screening…”
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Machine-learning ready data on the thermal power consumption of the Mars Express Spacecraft by Petković, Matej, Lucas, Luke, Levatić, Jurica, Breskvar, Martin, Stepišnik, Tomaž, Kostovska, Ana, Panov, Panče, Osojnik, Aljaž, Boumghar, Redouane, Martínez-Heras, José A., Godfrey, James, Donati, Alessandro, Džeroski, Sašo, Simidjievski, Nikola, Ženko, Bernard, Kocev, Dragi

“…We present six datasets containing telemetry data of the Mars Express Spacecraft (MEX), a spacecraft orbiting Mars operated by the European Space Agency. The…”
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Whole-genome Mutational Analysis for Tumor-informed Detection of Circulating Tumor DNA in Patients with Urothelial Carcinoma by Nordentoft, Iver, Lindskrog, Sia Viborg, Birkenkamp-Demtröder, Karin, Gonzalez, Santiago, Kuzman, Maja, Levatic, Jurica, Glavas, Dunja, Ptashkin, Ryan, Smadbeck, James, Afterman, Danielle, Lauterman, Tomer, Cohen, Yarin, Donenhirsh, Zohar, Tavassoly, Iman, Alon, Ury, Frydendahl, Amanda, Rasmussen, Mads Heilskov, Andersen, Claus Lindbjerg, Lamy, Philippe, Knudsen, Michael, Polak, Paz, Zviran, Asaf, Oklander, Boris, Agerbæk, Mads, Jensen, Jørgen Bjerggaard, Dyrskjøt, Lars

“…Detection of circulating tumor DNA (ctDNA) via whole-genome sequencing (WGS) in patients with muscle-invasive bladder cancer has great clinical potential for…”
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Detection of circulating tumor DNA by tumor-informed whole-genome sequencing enables prediction of recurrence in stage III colorectal cancer patients by Frydendahl, Amanda, Nors, Jesper, Rasmussen, Mads H., Henriksen, Tenna V., Nesic, Marijana, Reinert, Thomas, Afterman, Danielle, Lauterman, Tomer, Kuzman, Maja, Gonzalez, Santiago, Glavas, Dunja, Smadback, James, Maloney, Dillon, Levatic, Jurica, Yahalom, Michael, Ptashkin, Ryan, Tavassoly, Iman, Donenhirsh, Zohar, White, Eric, Kandasamy, Ravi, Alon, Ury, Nordentoft, Iver, Lindskrog, Sia V., Dyrskjøt, Lars, Jaensch, Claudia, Løve, Uffe S., Andersen, Per V., Thorlacius-Ussing, Ole, Iversen, Lene H., Gotschalck, Kåre A., Zviran, Asaf, Oklander, Boris, Andersen, Claus L.

“…Circulating tumor (ctDNA) can be used to detect residual disease after cancer treatment. Detecting low-level ctDNA is challenging, due to the limited number of…”
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Abstract 6689: Whole genome cell-free tumor DNA mutational signatures from blood for early detection of recurrence of low stage lung adenocarcinoma by Tran, Ivy, Vargas, Alejandro, Wilkins, Reid, Pizzillo, Isabella, Tokoro, Kenneth, Afterman, Danielle, Lauterman, Tomer, Kuzman, Maja, Gonzalez, Santiago, Glavas, Dunja, Smadbeck, James, Maloney, Dillon, Levatic, Jurica, Phillips, Samuel, Deochand, Sunil, Yahalom, Michael, Ptashkin, Ryan, Tavassoly, Iman, Donenhirsh, Zohar, White, Eric, Kandasamy, Ravi, Alon, Ury, Polak, Paz, Oklander, Boris, Zviran, Asaf, Snuderl, Matija, Pass, Harvey I.

“…Abstract Introduction: Lung cancer remains the leading cause of cancer-related deaths. Surgery is the best option for early lung cancer, and the role of…”
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Abstract 2305: Ultra-sensitive detection of circulating tumor DNA by whole-genome sequencing of blood samples from locally advanced rectal cancer patients receiving neoadjuvant therapy and enrolled in watch-and-wait strategies for organ preservation by Sanchez-Vega, Francisco, Chen, Chin-Tung, Afterman, Danielle, Omer, Dana, Darmofal, Madison, de Bruijn, Ino, Chatila, Walid K., Drescher, Matthew, Tam, Grittney, Lauterman, Tomer, Kuzman, Maja, Gonzalez, Santiago, Glavas, Dunja, Samdbeck, James, Maloney, Dillon, Levatic, Jurica, Deochand, Sunil, Yahalom, Michael, Ptashkin, Ryan, Tavassoly, Iman, Donenhirsh, Zohar, White, Eric, Kandasamy, Ravi, Alon, Ury, Berger, Michael F., Loomis, Brian, Polak, Paz, Oklander, Boris, Zviran, Asaf, Garcia-Aguilar, Julio

“…Abstract Background. We hypothesized that circulating tumor DNA (ctDNA) can be used as a prognostic biomarker, improve the assessment of response and enhance…”
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Abstract 1036: Detection of circulating tumor DNA by whole genome sequencing enables prediction of recurrence in stage III colorectal cancer patients with great inter-lab reproducibility by Frydendahl, Amanda, Nors, Jesper, Heilskov, Mads, Sørensen, Ester Ellegaard, Reinert, Thomas, Bramsen, Jesper, Afterman, Danielle, Lauterman, Tomer, Kuzman, Maja, Gonzalez, Santiago, Glavas, Dunja, Samdbeck, James, Maloney, Dillon, Levatic, Jurica, Deochand, Sunil, Yahalom, Michael, Ptashkin, Ryan, Tavassoly, Iman, Donenhirsh, Zohar, White, Eric, Kandasamy, Ravi, Alon, Ury, Polak, Paz, Madsen, Anders Husted, Løve, Uffe Schou, Andersen, Per Vadgaard, Thorlacius-Ussing, Ole, Iversen, Lene Hjerrild, Gotschalck, Kåre Andersson, Oklander, Boris, Zviran, Asaf, Andersen, Claus Lindbjerg

“…Abstract Background: Detection of circulating tumor DNA (ctDNA) in plasma indicates the presence of cancer. In patients with very few copies of tumor DNA…”
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