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5th ICISDM 2021: Silicon Valley, CA, USA
- Anu A. Gokhale:
ICISDM 2021: 2021 the 5th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27 - 29, 2021. ACM 2021, ISBN 978-1-4503-8954-9 - Shunan Zhao:
Nepal Stock Market Movement Prediction with Machine Learning. 1-7 - Seema Shedage, Jake Farmer, Doga Demirel, Tansel Halic, Sinan Kockara, Venkata Sreekanth Arikatla, Kevin W. Sexton
, Shahryar Ahmadi:
Development of Virtual Skill Trainers and Their Validation Study Analysis Using Machine Learning. 8-13 - Pronab Ghosh
Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases. 14-20 - Shengyun Xu:
The Application of Machine Learning in Bitcoin Ransomware Family Prediction. 21-27 - Alexis Daniels, Cris Koutsougeras:
Predicting Water Quality Parameters in Lake Pontchartrain using Machine Learning: A comparison on K-Nearest Neighbors, Decision Trees, and Neural Networks to Predict Water Quality. 28-33 - Changyi Lei
Actor-Critic Neural Network Based Finite-time Control for Uncertain Robotic Systems. 34-40 - Jiayu Wang:
FOB-Net: A Semantic Segmentation Method Focusing on Boundary Information. 41-45 - Yuanda Wang, Haibo Wang
A Survey on Mainstream Dimensions of Edge Computing. 46-54 - Muhammad R. Abid, Riley Kiefer:
Automated Dataset Amplification and its Application to Small Dataset Object Detection Transfer Learning. 55-61 - Kariman Elshakankery, Magda B. Fayek, Mona Farouk:
LASTD: A Manually Annotated and Tested Large Arabic Sentiment Tweets Dataset. 62-66 - Ümit Yilmaz, Cengiz Gezer, Zafer Aydin, Vehbi Çagri Güngör:
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling. 67-73 - Chaity Banerjee, Chad Lilian, Daniel Reasor, Eduardo Pasiliao, Tathagata Mukherjee:
An Application of Generative Adversarial Networks for Robust Inference in Computational Fluid Dynamics. 74-83 - Snehkumar Shahani, Jibi Abraham, R. Venkateswaran:
Selection and Verification of Privacy Parameters for Local Differentially Private Data Aggregation. 84-89 - Alessandro Campi, Corrado Palese:
Twitter Association Rule Mining using Clustering and Graph Databases. 90-95 - Fatih Coskun, Cengiz Gezer, Vehbi C. Gungor:
Email Clustering & Generating Email Templates Based on Their Topics. 96-103 - Adinma Chidumije, Fatima Gowher, Ehsan Kamalinejad, Justin Mercado, Jiwanjot Soni, Jiaofei Zhong:
A Survey of CNN and Facial Recognition Methods in the Age of COVID-19∗. 104-109 - Yunze Wu:
MDNet: A Multi-image Input Real-Time Semantic Segmentation Model with Decoupled Supervision. 110-114 - Wenchao Yang:
SF-U-Net: Using Accurate Shape Estimation and Feature Restoration to Improve Retinal Vessel Segmentation. 115-120 - T. N. D. S. Ginige, K. T. Yasas Mahima:
Ethnicity Based Consumer Buying Behavior Analysis and Prediction on Online Clothing Platforms in Sri Lanka. 121-127 - Yuanda Wang, Haibo Wang
Rumor Remove Order Strategy on Social Networks. 128-137 - Ramachandran Trichur Narayanan:
Recommender System: Personalizing User Experience or Scientifically Deceiving Users? 138-144 - Kritarth Bisht, Seba Susan
Weighted Ensemble of Neural and Probabilistic Graphical Models for Click Prediction. 145-150 - Cristina Maier, Dan A. Simovici:
On Biclique Connectivity in Bipartite Graphs and Recommendation Systems. 151-156 - Karim Roca, Belinda Navarro, Hector Carlos, Edwin Delgado, Marina Ore:
Characterization of the organizational climate in public schools from the teacher's perception using the Estanones scale. 157-162
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