Search Results - "Hendler, James A."

Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations by Sharma, Bhanushee, Chenthamarakshan, Vijil, Dhurandhar, Amit, Pereira, Shiranee, Hendler, James A., Dordick, Jonathan S., Das, Payel

“…Explainable machine learning for molecular toxicity prediction is a promising approach for efficient drug development and chemical safety. A predictive ML…”
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A Study of the Human Flesh Search Engine: Crowd-Powered Expansion of Online Knowledge by Fei-Yue Wang, Zeng, Daniel, Hendler, James A, Qingpeng Zhang, Zhuo Feng, Yanqing Gao, Hui Wang, Guanpi Lai

“…This first comprehensive empirical study of a search function that originated in China examines its tremendous growth in recent years and its uniquely rich…”
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Semantically enabling clinical decision support recommendations by Seneviratne, Oshani, Das, Amar K, Chari, Shruthi, Agu, Nkechinyere N, Rashid, Sabbir M, McCusker, Jamie, Franklin, Jade S, Qi, Miao, Bennett, Kristin P, Chen, Ching-Hua, Hendler, James A, McGuinness, Deborah L

“…Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management…”
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Foreign language acquisition via artificial intelligence and extended reality: design and evaluation by Divekar, Rahul R., Drozdal, Jaimie, Chabot, Samuel, Zhou, Yalun, Su, Hui, Chen, Yue, Zhu, Houming, Hendler, James A., Braasch, Jonas

“…Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of…”
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Semiautomated process for generating knowledge graphs for marginalized community doctoral-recipients by Keshan, Neha, Fontaine, Kathleen, Hendler, James A.

“…Purpose This paper aims to describe the “InDO: Institute Demographic Ontology” and demonstrates the InDO-based semiautomated process for both generating and…”
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Semantic sensitive tensor factorization by Nakatsuji, Makoto, Toda, Hiroyuki, Sawada, Hiroshi, Zheng, Jin Guang, Hendler, James A.

“…The ability to predict the activities of users is an important one for recommender systems and analyses of social media. User activities can be represented in…”
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Brokers or Bridges? Exploring Structural Holes in a Crowdsourcing System by Qingpeng Zhang, Zeng, Daniel Dajun, Fei-Yue Wang, Breiger, Ronald, Hendler, James A.

“…A method to measure the contributions of crowdsourcing participants identifies how roles relate to an incident's investigation and discussion. Using data on…”
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Web science: a new frontier by Shadbolt, Nigel, Hall, Wendy, Hendler, James A., Dutton, William H.

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Investor Attention on the Social Web by Li, Xian, Hendler, James A., Teall, John L.

“…We study investor attention through practitioners' tweeting behaviors. We develop formalisms of "cognitive niches," heuristics from adaptive cognitive control,…”
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Analyzing the Flow of Trust in the Virtual World With Semantic Web Technologies by Zhang, Qingpeng, DiFranzo, Dominic, Gloria, Marie Joan Kristine, Makni, Bassem, Hendler, James A.

“…Virtual worlds present a natural test bed to observe and study the social behaviors of people at a large scale. Analyzing the rich "big data" generated by the…”
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Open Government Data: A Data Analytics Approach by Erickson, John S., Viswanathan, Amar, Shinavier, Joshua, Yongmei Shi, Hendler, James A.

“…The International Open Government Dataset Search (IOGDS) team discusses what they've learned about international government data publication trends and…”
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Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems by Huang, Lifu, May, Jonathan, Pan, Xiaoman, Ji, Heng, Ren, Xiang, Han, Jiawei, Zhao, Lin, Hendler, James A

“…The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge…”
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Scalable reduction of large datasets to interesting subsets by Williams, Gregory Todd, Weaver, Jesse, Atre, Medha, Hendler, James A.

“…With a huge amount of RDF data available on the web, the ability to find and access relevant information is crucial. Traditional approaches to storing,…”
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E-Science: the grid and the Semantic Web by De Roure, D., Hendler, J.A.

“…Over the past few years, researchers have been treated to two visions of the Internet's future. One is the Semantic Web, the next generation of World Wide Web…”
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Training Deep Neural Networks with Constrained Learning Parameters by Date, Prasanna, Carothers, Christopher D., Mitchell, John E., Hendler, James A., Magdon-Ismail, Malik

“…Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large…”
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TWC LOGD: A portal for linked open government data ecosystems by Ding, Li, Lebo, Timothy, Erickson, John S., DiFranzo, Dominic, Williams, Gregory Todd, Li, Xian, Michaelis, James, Graves, Alvaro, Zheng, Jin Guang, Shangguan, Zhenning, Flores, Johanna, McGuinness, Deborah L., Hendler, James A.

“…International open government initiatives are releasing an increasing volume of raw government datasets directly to citizens via the Web. The transparency…”
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Semantic Social Network Analysis by Cross-Domain Tensor Factorization by Nakatsuji, Makoto, Qingpeng Zhang, Xiaohui Lu, Makni, Bassem, Hendler, James A.

“…Analyzing "what topics" a user discusses with others is important in social network analysis. Since social relationships can be represented as multiobject…”
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Introduction: Web science: a new frontier by Shadbolt, Nigel, Hall, Wendy, Hendler, James A., Dutton, William H.

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Explaining Chest X-ray Pathology Models using Textual Concepts by Sadashivaiah, Vijay, Yan, Pingkun, Hendler, James A

“…Deep learning models have revolutionized medical imaging and diagnostics, yet their opaque nature poses challenges for clinical adoption and trust. Amongst…”
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To Flourish in the Online World by Hendler, James A.

“…Rheingold lays out a set of social norms and practices to help people more efficiently tap the power of the Web while avoiding the traps of its demands and…”
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