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Displaying 1 - 16 of 16
Exploring deep learning methods for analyzing land use change
Author:
Cao, Cong (Cora)
Date created:
2019-07-03
Integrating Soft Computing, Complex Systems methods, and GIS for modeling urban land-use change
Author:
Hatch, Kristofer Hanneson
Date created:
2014-04-24
Expanding and comparing GIS-based multi-criteria decision making methods: a soft computing logic for agricultural land suitability evaluation
Author:
Montgomery, Bryn Ryan
Date created:
2015-06-01
Geographic Automata Systems Approaches for Simulating Forest Insect Infestation: A Case Study of the Emerald Ash Borer
Author:
Anderson, Taylor Marie
Date created:
2015-05-26
Sentiment-aligned Topic Models for Product Aspect Rating Prediction
Author:
Wang, Hao
Date created:
2015-03-23
SimBoost: A Read-Across Approach for Drug-Target Interaction Prediction Using Gradient Boosting Machines
Author:
He, Tong
Date created:
2016-10-04
Continuous Conditional Random Fields for Drug Target Interaction Prediction
Author:
Heidemeyer, Marten
Date created:
2016-10-03
Specialized Macro-Instructions for Von-Neumann Accelerators
Author:
Sharifian, Amirali
Date created:
2016-11-30
Four-dimensional geospatial approaches for modeling vertical urban growth
Author:
Koziatek, Olympia
Date created:
2016-08-17
Activity monitoring using topic models
Author:
Nabaei, Boshra
Date created:
2017-03-29
Modeling land-use change with Logic Scoring of Preference Method, GIS and Cellular Automata
Author:
Minardi, Richard Drake
Date created:
2012-08-21
Modelling spatial dynamics of landslides: Integration of GIS-based cellullar automata and multicriteria evaluation methods
Author:
Lai, Terence
Date created:
2011-08-25
Classification of coding and non-coding RNA in RNA-Seq data
Author:
Okada, Hisanaga
Date created:
2011-02-28
Extending spatial multicriteria evaluation methods for three-dimensional suitability analysis of the urban environment
Author:
Munn, Kendra
Date created:
2021-08-10
PADME: A deep learning-based framework for drug-target interaction prediction
Author:
Feng, Qingyuan
Date created:
2019-03-13
Learning accurate and understandable rules from SVM classifiers
Author:
Chen, Fei
Date created:
2004