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Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code
Michaud, Eric J., Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max
Published in Entropy (Basel, Switzerland) (02.12.2024)
Published in Entropy (Basel, Switzerland) (02.12.2024)
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Journal Article
Python code for modeling ARIMA-LSTM architecture with random forest algorithm
Lama, Achal, Ray, Soumik, Biswas, Tufleuddin, Narsimhaiah, Lakshmi, Raghav, Yashpal Singh, Kapoor, Promil, Singh, K.N., Mishra, Pradeep, Gurung, Bishal
Published in Software impacts (01.05.2024)
Published in Software impacts (01.05.2024)
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Journal Article
A neural algorithm for computing bipartite matchings
Dasgupta, Sanjoy, Meirovitch, Yaron, Zheng, Xingyu, Bush, Inle, Lichtman, Jeff W., Navlakha, Saket
Published in Proceedings of the National Academy of Sciences - PNAS (10.09.2024)
Published in Proceedings of the National Academy of Sciences - PNAS (10.09.2024)
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Journal Article
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul
Published in Nature methods (01.03.2020)
Published in Nature methods (01.03.2020)
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Journal Article
Peel learning for pathway-related outcome prediction
Li, Yuantong, Wang, Fei, Yan, Mengying, Cantu III, Edward, Yang, Fan Nils, Rao, Hengyi, Feng, Rui
Published in Bioinformatics (Oxford, England) (18.11.2021)
Published in Bioinformatics (Oxford, England) (18.11.2021)
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Journal Article
Correction: A Contemporary Systematic Review on Meta-heuristic Optimization Algorithms with Their MATLAB and Python Code Reference: Pankaj Sharma
Salgotra, Rohit, Sharma, Pankaj, Raju, Saravanakumar, gandomi, Amir H.
Published in Archives of computational methods in engineering (24.12.2024)
Published in Archives of computational methods in engineering (24.12.2024)
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Journal Article
PHOTONAI—A Python API for rapid machine learning model development
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
Published in PloS one (21.07.2021)
Published in PloS one (21.07.2021)
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Journal Article
IntelELM: A python framework for intelligent metaheuristic-based extreme learning machine
Van Thieu, Nguyen, Houssein, Essam H., Oliva, Diego, Hung, Nguyen Duy
Published in Neurocomputing (Amsterdam) (14.02.2025)
Published in Neurocomputing (Amsterdam) (14.02.2025)
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Journal Article
Correct orchestration of federated learning generic algorithms: Python translation to CSP and verification by PAT
Djukic, Miodrag, Prokić, Ivan, Popovic, Miroslav, Ghilezan, Silvia, Popovic, Marko, Prokić, Simona
Published in International journal on software tools for technology transfer (01.02.2025)
Published in International journal on software tools for technology transfer (01.02.2025)
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Journal Article