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Showing 81 - 100 of 3,249

81

Google BigQuery for Education : Framework for Parsing and Analyzing edX MOOC Data
Lopez, Glenn ; Seaton, Daniel T. ; Ang, Andrew ; et al.
Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. :181-184

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82

Household Energy Management Model to Maximize Solar Power Utilization Using Machine Learning
Gautam, M ; Raviteja, Siram ; Mahalakshmi, R.
In Procedia Computer Science 2019 165:90-96

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83

Reduction-Aware Directive-Based Programming via Multi-Dimensional Homomorphisms
Schulze, Richard ; Gorlatch, Sergei ; Rasch, Ari
Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. :2100-2113

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84

Vamsa: Automated Provenance Tracking in Data Science Scripts
Namaki, Mohammad Hossein ; Floratou, Avrilia ; Psallidas, Fotis ; et al.
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. :1542-1551

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85

Adaptive optimized residual convolutional image annotation model with bionic feature selection model
Palekar, Vikas ; L, Sathish Kumar
In Computer Standards & Interfaces January 2024 87

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86

Machine Learning for Non-Programmers
Shastri, Dvijesh J.
Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. :1-3

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87

SIP: A computational prediction of S-Adenosyl methionine (SAM) interacting proteins and their interaction sites through primary structures
Abbasi, Wajid Arshad ; Ajaz, Syeda Adin ; Arshad, Kinza ; et al.
In Computational Biology and Chemistry June 2022 98

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88

pyATF: Constraint-Based Auto-Tuning in Python
Schulze, Richard ; Gorlatch, Sergei ; Rasch, Ari
Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction. :35-47

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89

An intelligent heart disease prediction system using hybrid deep dense Aquila network
Barfungpa, Sonam Palden ; Deva Sarma, Hiren Kumar ; Samantaray, Leena
In Biomedical Signal Processing and Control July 2023 84

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90

Tslearn, A Machine Learning Toolkit for Time Series Data.
Tavenard, Romain ; Faouzi, Johann ; Vandewiele, Gilles ; et al.
Journal of Machine Learning Research. 2020, Issue 78-118, p1-6. 6p.

TIME series analysis DATA mining PIPELINE inspection PYTHON programming langu... MACHINE learning FEATURE extraction
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91

GeoTS: A TSC Framework for Estimating Geological Formation to Model Carbon Storage Reservoirs
Salimath, Shwetha ; Bugiotti, Francesca ; Wlodarczyk, Sylvain
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :4773-4783

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92

Random decision forest based sustainable green machining using Citrullus lanatus extract as bio-cutting fluid
Sankaranarayanan, R. ; Rajesh Jesudoss Hynes, N. ; Senthil Kumar, J. ; et al.
In Journal of Manufacturing Processes August 2021 68 Part A:1814-1823

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93

Analysis of E-commerce User Purchase Intention Based on User Behavior Data
Huang, Qingyu
Proceedings of the 2nd Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence. :1759-1764

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94

JAMIP: an artificial-intelligence aided data-driven infrastructure for computational materials informatics
Zhao, Xin-Gang ; Zhou, Kun ; Xing, Bangyu ; et al.
In Science Bulletin 15 October 2021 66(19):1973-1985

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95

Research on Commodity Image Data Compression Based on SVD Algorithm
Han, Xiaowei ; Hu, Wen ; Weng, Rui ; et al.
2021 2nd International Conference on Artificial Intelligence and Information Systems. :1-4

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96

Traffic safety evaluation in Northwestern Federal District using sentiment analysis of Internet users’ reviews
Seliverstov, Yaroslav ; Seliverstov, Svyatoslav ; Malygin, Igor ; et al.
In Transportation Research Procedia 2020 50:626-635

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97

WekaPyScript: Classification, Regression, and Filter Schemes for WEKA Implemented in Python
Christopher Beckham ; Mark Hall ; Eibe Frank
Journal of Open Research Software, Vol 4, Iss 1, Pp e33-e33 (2016)

Python, WEKA, machine le... Computer software QA76.75-76.765
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98

A Lightweight Environment for Learning Experimental IR Research Practices
Akkalyoncu Yilmaz, Zeynep ; Clarke, Charles L. A. ; Lin, Jimmy
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. :2113-2116

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99

Does User Generated Content Characterize Millennials’ Generation Behavior? Discussing the Relation between SNS and Open Innovation
Saura, Jose Ramon ; Debasa, Felipe ; Reyes-Menendez, Ana
In Journal of Open Innovation: Technology, Market, and Complexity December 2019 5(4)

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100

Automated Data-Driven Hints for Computer Programming Students
Chow, Sammi ; Yacef, Kalina ; Koprinska, Irena ; et al.
Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization. :5-10

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