The Datafication of Hate: Expectations and Challenges in Automated Hate Speech Monitoring [0.03%]
仇恨的量化：自动化仇恨言语监测的期望与挑战
Salla-Maaria Laaksonen,Jesse Haapoja,Teemu Kinnunen et al.
Salla-Maaria Laaksonen et al.
Hate speech has been identified as a pressing problem in society and several automated approaches have been designed to detect and prevent it. This paper reports and reflects upon an action research setting consisting of multi-organizationa...
Yi-Wei Chen,Qingquan Song,Xi Liu et al.
Yi-Wei Chen et al.
Neural architecture search (NAS), which aims at automatically seeking proper neural architectures given a specific task, has attracted extensive attention recently in supervised learning applications. In most real-world situations, the clas...
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data [0.03%]
融合再分析数据的深度学习在热带气旋路径预测中的应用研究
Sophie Giffard-Roisin,Mo Yang,Guillaume Charpiat et al.
Sophie Giffard-Roisin et al.
The forecast of tropical cyclone trajectories is crucial for the protection of people and property. Although forecast dynamical models can provide high-precision short-term forecasts, they are computationally demanding, and current statisti...
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning [0.03%]
神经符号论证挖掘：深度学习和推理的优势论据
Andrea Galassi,Kristian Kersting,Marco Lippi et al.
Andrea Galassi et al.
Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks. In this position paper, we posit that neural-symboli...
Spatial Pattern and Environmental Drivers of Acid Phosphatase Activity in Europe [0.03%]
欧洲酸性磷酸酶活性的空间格局及其环境驱动力
Yan Sun,Daniel S Goll,Philippe Ciais et al.
Yan Sun et al.
Acid phosphatase produced by plants and microbes plays a fundamental role in the recycling of soil phosphorus (P). A quantification of the spatial variation in potential acid phosphatase activity (AP) on large spatial scales and its drivers...
Bioactivity Signatures of Drugs vs. Environmental Chemicals Revealed by Tox21 High-Throughput Screening Assays [0.03%]
Tox21高通量筛选模型揭示的环境化学物质和药物的生物活性指纹图谱
Deborah K Ngan,Lin Ye,Leihong Wu et al.
Deborah K Ngan et al.
Humans are exposed to tens of thousands of chemicals over the course of a lifetime, yet there remains inadequate data on the potential harmful effects of these substances on human health. Using quantitative high-throughput screening (qHTS),...
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification [0.03%]
基于协同过滤的属性感知推荐系统：调查与分类
Wen-Hao Chen,Chin-Chi Hsu,Yi-An Lai et al.
Wen-Hao Chen et al.
Attribute-aware CF models aim at rating prediction given not only the historical rating given by users to items but also the information associated with users (e.g., age), items (e.g., price), and ratings (e.g., rating time). This paper sur...
Application of a Novel Subject Classification Scheme for a Bibliographic Database Using a Data-Driven Correspondence [0.03%]
一种新型主题分类方案在书目数据库中的应用及数据驱动的对应关系
Kei Kurakawa,Yuan Sun,Satoko Ando
Kei Kurakawa
A novel subject classification scheme should often be applied to a preclassified bibliographic database for the research evaluation task. Generally, adopting a new subject classification scheme is labor intensive and time consuming, and an ...
Human Cell-Based in vitro Phenotypic Profiling for Drug Safety-Related Attrition [0.03%]
基于人类细胞的体外表型筛选在药物安全性评估中的作用
Ellen L Berg
Ellen L Berg
Ensuring the safety of new drugs is critically important to regulators, pharmaceutical researchers and patients alike. Even so, unexpected toxicities still account for 20-30% of clinical trial failures, in part due to the persistence of ani...
Xiaowei Jia,Ankush Khandelwal,Kimberly Carlson et al.
Xiaowei Jia et al.
Plantation mapping is important for understanding deforestation and climate change. While most existing plantation products are created manually, in this paper we study an ensemble learning based framework for automatically mapping plantati...