• Suche: Active Machine Learning with Python

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41

PLangRec: Deep-learning model to predict the programming language from a single line of code
Rodriguez-Prieto, Oscar ; Pato, Alejandro ; Ortin, Francisco
In Future Generation Computer Systems May 2025 166

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42

Using python libraries and k-Nearest neighbors algorithms to delineate syn-sedimentary faults in sedimentary porous media
Martín-Martín, Manuel ; Bullejos, Manuel ; Cabezas, David ; et al.
In Marine and Petroleum Geology July 2023 153

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43

ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
Kyro, Gregory W. ; Morgunov, Anton ; Brent, Rafael I. ; et al.
Journal of Chemical Information and Modeling. 64(3):653-665

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44

Explauto: an open-source Python library to study autonomous exploration in developmental robotics
Moulin-Frier, Clément ; Rouanet, Pierre ; Oudeyer, Pierre-Yves ; et al.
ICDL-Epirob - International Conference on Development and Learning, Epirob, Oct 2014, Genoa, Italy

Genoa, Italy teaching. Intrinsic Motivation Goal babbling Active Learning Exploration …
Konferenz
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45

Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.
Damar M ; Turhan Damar H ; Özbiçakci Ş ; et al.
Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE

Humans Bibliometrics Primary Health Care Machine Learning Neoplasms therapy Neoplasms diagnosis …
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46

A Concise Mathematical Description of Active Inference in Discrete Time
van Oostrum, Jesse ; Langer, Carlotta ; Ay, Nihat
Journal of Mathematical Psychology 125 (2025) 102921

Computer Science - Machi... Quantitative Biology - N...
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47

Co-optimization of Demand Response Aggregators and distribution system operator for resilient operation using machine learning based wind generation forecasting: A bilevel approach
Aghdam, Farid Hamzeh ; Zavodovski, Aleksandr ; Adetunji, Adeleye ; et al.
In International Journal of Electrical Power and Energy Systems March 2025 164

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48

Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations.
de Graaff, Rosa ; Margalef-Bentabol, Berta ; Wang, Lingyu ; et al.
Astronomy & Astrophysics / Astronomie et Astrophysique. 2025, Vol. 697, p1-15. 15p.

GALAXY formation DEEP learning TELESCOPES CLASSIFICATION PHYSICAL cosmology
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49

libact: Pool-based Active Learning in Python
Yang, Yao-Yuan ; Lee, Shao-Chuan ; Chung, Yu-An ; et al.

FOS: Computer and inform... Computer Science - Machi... 0202 electrical engineer... 02 engineering and techn... Machine Learning (cs.LG)
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50

Small-Text: Active Learning for Text Classification in Python
Schröder, Christopher ; Müller, Lydia ; Niekler, Andreas ; et al.

E-Ressource
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51

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
Del Pup, Federico ; Zanola, Andrea ; Tshimanga, Louis Fabrice ; et al.
Journal of Open Source Software (2024), 9(95), 6224

Electrical Engineering a... Computer Science - Machi...
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52

Shannon Entropy Estimator for the Characterization of Seismic-Volcanic Signals using Python
Gutiérrez, Ligdamis ; Devesa, Pablo Rey ; Ibáñez, Jesús ; et al.

Geophysics
Report
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53

pykitPIV: A framework for flexible and reproducible virtual training of machine learning models in optical velocimetry
Kamila Zdybał ; Claudio Mucignat ; Ivan Lunati
SoftwareX, Vol 31, Iss , Pp 102356- (2025)

Particle image velocimet... Flow estimation Convolutional neural net... Machine learning Reinforcement learning Python …
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54

MultiVae: A Python library for Multimodal Generative Autoencoders
Senellart, Agathe ; Chadebec, Clément ; Allassonnière, Stéphanie ; et al.

Open-source, Reproducibi... [INFO.INFO-AI]Computer S... Artificial Intelligence... [MATH]Mathematics [math]
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55

Cluster-MLP: An Active Learning Genetic Algorithm Framework for Accelerated Discovery of Global Minimum Configurations of Pure and Alloyed Nanoclusters.
Raju RK ; Sivakumar S ; Wang X ; et al.
Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE

Density Functional Theor... Machine Learning Algorithms Alloys
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56

Applying Machine Learning to Develop Black-box Control Model of Active Double-Skin Facade
Visala, Arto ; Jung, Alex ; Sähkötekniikan korkeakoulu ; et al.

E-Ressource
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57

Machine Learning Model Reveals Determinators for Admission to Acute Mental Health Wards From Emergency Department Presentations.
Higgins O ; Chalup SK ; Wilson RL
Publisher: Blackwell Pub Country of Publication: Australia NLM ID: 101140527 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1447-0349 (Electronic) Linking ISSN: 14458330 NLM ISO Abbreviation: Int J Ment Health Nurs Subsets: MEDLINE

Humans Adult Male Female Middle Aged Suicidal Ideation …
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58

An uncertainty prediction approach for active learning - application to earth observation
Raiyani, Kashyap Damjibhai

Sentinel-2 High-resolution Imagery Scene Classification Sen2Cor Surface Reflectance Artificial Intelligence …
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59

CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery
Wright, Nicholas ; Duncan, John M.A. ; Callow, J. Nik ; et al.
In Remote Sensing of Environment 15 May 2024 306

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60

A deep learning-based authentication protocol for IoT-enabled LTE systems
Rao, A. Sai Venkateshwar ; Roy, Prasanta Kumar ; Amgoth, Tarachand ; et al.
In Future Generation Computer Systems May 2024 154:451-464

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