Suchergebnisse - jan AND python (source OR resource) code*

Lingual-Fusion Adapter-Based Transfer Learning for Low-Resource Code Vulnerability Detection von Long, Xinyue, Guo, Shikai, Chai, Yu, Li, Hui, Jan, Sumaira Ameer, Ma, Qian, Ning, Qiao

“… points.For instance, in a scenario where a software system integrates legacy code in a low-resource programming language like PHP, detecting vulnerabilities becomes challenging due to data scarcity …”
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PHOTONAI—A Python API for rapid machine learning model development von Leenings, Ramona, Winter, Nils Ralf, Plagwitz, Lucas, Holstein, Vincent, Ernsting, Jan, Sarink, Kelvin, Fisch, Lukas, Steenweg, Jakob, Kleine-Vennekate, Leon, Gebker, Julian, Emden, Daniel, Grotegerd, Dominik, Opel, Nils, Risse, Benjamin, Jiang, Xiaoyi, Dannlowski, Udo, Hahn, Tim

“… PHOTONAI is a high-level Python API designed to simplify and accelerate machine learning model development …”
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Innovative UAV LiDAR Generated Point-Cloud Processing Algorithm in Python for Unsupervised Detection and Analysis of Agricultural Field-Plots von Polák, Michal, Miřijovský, Jakub, Hernándiz, Alba E., Špíšek, Zdeněk, Koprna, Radoslav, Humplík, Jan F.

“… The estimation of plant growth is a challenging but key issue that may help us to understand crop vs. environment interactions. To perform precise and …”
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Flow-Py v1.0: a customizable, open-source simulation tool to estimate runout and intensity of gravitational mass flows von D'Amboise, Christopher J L, Neuhauser, Michael, Teich, Michaela, Huber, Andreas, Kofler, Andreas, Perzl, Frank, Fromm, Reinhard, Kleemayr, Karl, Jan-Thomas, Fischer

“… Models and simulation tools for gravitational mass flows (GMFs) such as snow avalanches, rockfall, landslides, and debris flows are important for research, …”
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NCBI’s Virus Discovery Codeathon: Building “FIVE” —The Federated Index of Viral Experiments API Index von Martí-Carreras, Joan, Gener, Alejandro, Miller, Sierra, Brito, Anderson, Camacho, Christiam, Connor, Ryan, Deboutte, Ward, Glickman, Cody, Kristensen, David, Meyer, Wynn, Modha, Sejal, Norris, Alexis, Saha, Surya, Belford, Anna, Biederstedt, Evan, Brister, James, Buchmann, Jan, Cooley, Nicholas, Edwards, Robert, Javkar, Kiran, Muchow, Michael, Muralidharan, Harihara, Pepe-Ranney, Charles, Shah, Nidhi, Shakya, Migun, Tisza, Michael, Tully, Benjamin, Vanmechelen, Bert, Virta, Valerie, Weissman, JL, Zalunin, Vadim, Efremov, Alexandre, Busby, Ben

“… Unifying or displaying alternative annotations should be a priority both for communities with robust entry representation and for nascent communities with burgeoning data sources …”
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DéjàVu: a map of code duplicates on GitHub von Lopes, Cristina V., Maj, Petr, Martins, Pedro, Saini, Vaibhav, Yang, Di, Zitny, Jakub, Sajnani, Hitesh, Vitek, Jan

“… Previous studies have shown that there is a non-trivial amount of duplication in source code …”
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PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models von Scherer, Martin K, Trendelkamp-Schroer, Benjamin, Paul, Fabian, Pérez-Hernández, Guillermo, Hoffmann, Moritz, Plattner, Nuria, Wehmeyer, Christoph, Prinz, Jan-Hendrik, Noé, Frank

“… In this work we present the open-source Python package PyEMMA ( http://pyemma.org ) that provides accurate and efficient algorithms for kinetic model construction …”
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NeuroKit2: A Python toolbox for neurophysiological signal processing von Makowski, Dominique, Pham, Tam, Lau, Zen J., Brammer, Jan C., Lespinasse, François, Pham, Hung, Schölzel, Christopher, Chen, S. H. Annabel

“… NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiological signal processing …”
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RateML: A Code Generation Tool for Brain Network Models von van der Vlag, Michiel, Woodman, Marmaduke, Fousek, Jan, Diaz-Pier, Sandra, Pérez Martín, Aarón, Jirsa , Viktor, Morrison, Abigail

“… : the end user describes their model’s mathematics once and generates and runs code for different languages, targeting …”
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Solar Energetic Particle Time Series Analysis with Python von Palmroos, Christian, Gieseler, Jan, Dresing, Nina, Morosan, Diana E, Asvestari, Eleanna, Yli-Laurila, Aleksi, Price, Daniel J, Valkila, Saku, Vainio, Rami

“… and processing tools are needed. This manuscript introduces a series of Python functions that will enable the scientific community to download, load, and visualize …”
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Methodology for Detecting Similarity of Program Code Based on Combining Algorithms von Novotochinov, Maksim E., Solomatin, Dmitry I., Chernenkii, Andrei V.

“… In this paper, the main existing strategies used in plagiarism of program code were investigated, as well as the most popular approaches used to identify copied texts were analyzed …”
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GimmeMotifs: a de novo motif prediction pipeline for ChIP-sequencing experiments von van Heeringen, Simon J., Veenstra, Gert Jan C.

“… Accurate prediction of transcription factor binding motifs that are enriched in a collection of sequences remains a computational challenge. Here we report on …”
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ILLOD Replication Package: An Open-Source Framework for Abbreviation-Expansion Pair Detection and Term Consolidation in Requirements von Hasso, Hussein, Grosser, Katharina, Aymaz, Iliass, Geppert, Hanna, Jurjens, Jan

“… The artifact bundles all source code and data resources to replicate evaluation results presented for ILLOD in two research papers published at the REFSQ2022 Conference and in the Information and Software Technology (IST) journal …”
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Nirjas: An open source framework for extracting metadata from the source code von Bhardwaj, Ayush, Sahil, Pratap, Kaushlendra, Mishra, Gaurav

“… Metadata/Comments are the critical element of any software development process. In this paper, we went on to explain how the metadata/comments in the source code can play an essential role in comprehending the software …”
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Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach von Schmiester, Leonard, Weindl, Daniel, Hasenauer, Jan

“… Quantitative dynamical models facilitate the understanding of biological processes and the prediction of their dynamics. These models usually comprise unknown …”
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TopoX: A Suite of Python Packages for Machine Learning on Topological Domains von Hajij, Mustafa, Papillon, Mathilde, Frantzen, Florian, Agerberg, Jens, AlJabea, Ibrahem, Ballester, Rubén, Battiloro, Claudio, Bernárdez, Guillermo, Birdal, Tolga, Brent, Aiden, Chin, Peter, Escalera, Sergio, Fiorellino, Simone, Odin Hoff Gardaa, Gopalakrishnan, Gurusankar, Govil, Devendra, Hoppe, Josef, Maneel Reddy Karri, Khouja, Jude, Lecha, Manuel, Livesay, Neal, Meißner, Jan, Mukherjee, Soham, Nikitin, Alexander, Papamarkou, Theodore, Prílepok, Jaro, Karthikeyan Natesan Ramamurthy, Rosen, Paul, Guzmán-Sáenz, Aldo, Salatiello, Alessandro, Samaga, Shreyas N, Scardapane, Simone, Schaub, Michael T, Scofano, Luca, Spinelli, Indro, Telyatnikov, Lev, Truong, Quang, Walters, Robin, Yang, Maosheng, Zaghen, Olga, Zamzmi, Ghada, Zia, Ali, Miolane, Nina

“… The extensively documented and unit-tested source code of TopoX is available under MIT license at https …”
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Pyisotopomer: A Python package for obtaining intramolecular isotope ratio differences from mass spectrometric analysis of nitrous oxide isotopocules von Kelly, Colette L., Manning, Cara, Frey, Claudia, Kaiser, Jan, Gluschankoff, Noah, Casciotti, Karen L.

“… The data analysis requires correcting for “scrambling” in the ion source, whereby the NO+ fragment ion obtains the outer N atom from the N2O molecule …”
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OpenML-Python: an extensible Python API for OpenML von Feurer, Matthias, van Rijn, Jan N, Kadra, Arlind, Gijsbers, Pieter, Mallik, Neeratyoy, Sahithya Ravi, Müller, Andreas, Vanschoren, Joaquin, Hutter, Frank

“… Source code and documentation is available at https://github.com/openml/openml-python/ …”
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Automatic Test Data Generation Using Genetic Algorithm for Python Programs von Alshammari, Majdah, Mezher, Mohammad A., Al-utaibi, Khaled

“… Traditional and common software testing methods are time and resource consuming, especially in manual and human-based methods …”
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teemi: An open-source literate programming approach for iterative design-build-test-learn cycles in bioengineering von Petersen, Søren D., Levassor, Lucas, Pedersen, Christine M., Madsen, Jan, Hansen, Lea G., Zhang, Jie, Haidar, Ahmad K., Frandsen, Rasmus J. N., Keasling, Jay D., Weber, Tilmann, Sonnenschein, Nikolaus, K. Jensen, Michael

“… Synthetic biology dictates the data-driven engineering of biocatalysis, cellular functions, and organism behavior. Integral to synthetic biology is the …”
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