Search Results - "Blaschke, Thomas"

Molecular de-novo design through deep reinforcement learning by Olivecrona, Marcus, Blaschke, Thomas, Engkvist, Ola, Chen, Hongming

“…This work introduces a method to tune a sequence-based generative model for molecular de novo design that through augmented episodic likelihood can learn to…”
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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection by Ghorbanzadeh, Omid, Blaschke, Thomas, Gholamnia, Khalil, Meena, Sansar, Tiede, Dirk, Aryal, Jagannath

“…There is a growing demand for detailed and accurate landslide maps and inventories around the globe, but particularly in hazard-prone regions such as the…”
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Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS by Feizizadeh, Bakhtiar, Blaschke, Thomas

“…In our research we investigated the optimal utilization of land resources for agricultural production in Tabriz County, Iran. A GIS-based Multi Criteria…”
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Application of Generative Autoencoder in De Novo Molecular Design by Blaschke, Thomas, Olivecrona, Marcus, Engkvist, Ola, Bajorath, Jürgen, Chen, Hongming

“…A major challenge in computational chemistry is the generation of novel molecular structures with desirable pharmacological and physiochemical properties. In…”
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UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks by Ghorbanzadeh, Omid, Meena, Sansar Raj, Blaschke, Thomas, Aryal, Jagannath

“…Slope failures occur when parts of a slope collapse abruptly under the influence of gravity, often triggered by a rainfall event or earthquake. The resulting…”
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A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan) by Ghorbanzadeh, Omid, Crivellari, Alessandro, Ghamisi, Pedram, Shahabi, Hejar, Blaschke, Thomas

“…Earthquakes and heavy rainfalls are the two leading causes of landslides around the world. Since they often occur across large areas, landslide detection…”
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Exploring semantic elements for urban scene recognition: Deep integration of high-resolution imagery and OpenStreetMap (OSM) by Zhao, Wenzhi, Bo, Yanchen, Chen, Jiage, Tiede, Dirk, Blaschke, Thomas, Emery, William J.

“…Urban scenes refer to city blocks which are basic units of megacities, they play an important role in citizens’ welfare and city management. Remote sensing…”
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An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran by Garajeh, Mohammad Kazemi, Malakyar, Farzad, Weng, Qihao, Feizizadeh, Bakhtiar, Blaschke, Thomas, Lakes, Tobia

“…Traditional soil salinity studies are time-consuming and expensive, especially over large areas. This study proposed an innovative deep learning convolutional…”
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Landslide detection using deep learning and object-based image analysis by Ghorbanzadeh, Omid, Shahabi, Hejar, Crivellari, Alessandro, Homayouni, Saeid, Blaschke, Thomas, Ghamisi, Pedram

“…Recent landslide detection studies have focused on pixel-based deep learning (DL) approaches. In contrast, intuitive annotation of landslides from satellite…”
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Forest Fire Susceptibility and Risk Mapping Using Social/Infrastructural Vulnerability and Environmental Variables by Ghorbanzadeh, Omid, Blaschke, Thomas, Gholamnia, Khalil, Aryal, Jagannath

“…Forests fires in northern Iran have always been common, but the number of forest fires has been growing over the last decade. It is believed, but not proven,…”
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Assessing and mapping multi-hazard risk susceptibility using a machine learning technique by Pourghasemi, Hamid Reza, Kariminejad, Narges, Amiri, Mahdis, Edalat, Mohsen, Zarafshar, Mehrdad, Blaschke, Thomas, Cerda, Artemio

“…The aim of the current study was to suggest a multi-hazard probability assessment in Fars Province, Shiraz City, and its four strategic watersheds. At first,…”
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Memory-assisted reinforcement learning for diverse molecular de novo design by Blaschke, Thomas, Engkvist, Ola, Bajorath, Jürgen, Chen, Hongming

“…In de novo molecular design, recurrent neural networks (RNN) have been shown to be effective methods for sampling and generating novel chemical structures…”
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Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India by Saha, Sunil, Roy, Jagabandhu, Arabameri, Alireza, Blaschke, Thomas, Tien Bui, Dieu

“…Gully erosion is a form of natural disaster and one of the land loss mechanisms causing severe problems worldwide. This study aims to delineate the areas with…”
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Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran by Arabameri, Alireza, Saha, Sunil, Roy, Jagabandhu, Chen, Wei, Blaschke, Thomas, Tien Bui, Dieu

“…This analysis aims to generate landslide susceptibility maps (LSMs) using various machine learning methods, namely random forest (RF), alternative decision…”
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A Generic Classification Scheme for Urban Structure Types by Lehner, Arthur, Blaschke, Thomas

“…This paper presents a proposal for a generic urban structure type (UST) scheme. Initially developed in the context of urban ecology, the UST approach is…”
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Examining Urban Heat Island Relations to Land Use and Air Pollution: Multiple Endmember Spectral Mixture Analysis for Thermal Remote Sensing by Feizizadeh, Bakhtiar, Blaschke, Thomas

“…This paper proposes an integration of Spectral Mixture Analysis and Endmember Remote Sensing Indices to derive land surface temperature (LST), to identify…”
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Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas by Tavakkoli Piralilou, Sepideh, Shahabi, Hejar, Jarihani, Ben, Ghorbanzadeh, Omid, Blaschke, Thomas, Gholamnia, Khalil, Meena, Sansar, Aryal, Jagannath

“…Landslides represent a severe hazard in many areas of the world. Accurate landslide maps are needed to document the occurrence and extent of landslides and to…”
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Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria by Nachappa, Thimmaiah, Ghorbanzadeh, Omid, Gholamnia, Khalil, Blaschke, Thomas

“…We live in a sphere that has unpredictable and multifaceted landscapes that make the risk arising from several incidences that are omnipresent. Floods and…”
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A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping by Ghorbanzadeh, Omid, Blaschke, Thomas, Aryal, Jagannath, Gholaminia, Khalil

“…In this study, we evaluated the predictive performance of an adaptive neuro-fuzzy inference system (ANFIS) with six different membership functions (MFs). Using…”
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A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal by Meena, Sansar, Ghorbanzadeh, Omid, Blaschke, Thomas

“…As a result of the Gorkha earthquake in 2015, about 9000 people lost their lives and many more were injured. Most of these losses were caused by…”
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