1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Arkansas at FayettevilleUS17 papers
- University of DelawareUS16 papers
- U.S. National Science FoundationUS15 papers
- Iowa State UniversityUS13 papers
- Purdue University West LafayetteUS12 papers
- Center for Astrophysics Harvard & SmithsonianUS11 papers
- Michigan State UniversityUS11 papers
- Division of Mathematical SciencesUS10 papers
- University of California, Los AngelesUS10 papers
- Washington University in St. LouisUS10 papers
- DePauw UniversityUS9 papers
- Galway-Mayo Institute of TechnologyIE9 papers
14 papers · 1 filter
Automatic Face Aging in Videos via Deep Reinforcement Learning
Chi Nhan Duong, Khoa Luu, Kha Gia Quach +4
This paper presents a novel approach to synthesize automatically age-progressed facial images in video sequences using Deep Reinforcement Learning. The proposed method models facia…
Conceptual Analysis of Resource Meta-information
Christian Neuss, Robert E. Kent
It's ease of use and the availability of browsers for various platforms have paved the way for the enormous popularity that the World Wide Web currently enjoys. In the near future,…
Creating a Web Analysis and Visualization Environment
Robert E. Kent, Christian Neuss
Due to the rapid growth of the World Wide Web, resource discovery becomes an increasing problem. As an answer to the demand for information management, a third generation of World-…
Improving Data Quality through Deep Learning and Statistical Models
Wei Dai, Kenji Yoshigoe, William Parsley
Traditional data quality control methods are based on users experience or previously established business rules, and this limits performance in addition to being a very time consum…
Conceptual Collectives
Robert E. Kent
The notions of formal contexts and concept lattices, although introduced by Wille only ten years ago, already have proven to be of great utility in various applications such as dat…
Rough Concept Analysis
Robert E. Kent
The theory introduced, presented and developed in this paper, is concerned with Rough Concept Analysis. This theory is a synthesis of the theory of Rough Sets pioneered by Zdzislaw…
Formal Concept Analysis with Many-sorted Attributes
Robert E. Kent, John Brady
This paper unites two problem-solving traditions in computer science: (1) constraint-based reasoning, and (2) formal concept analysis. For basic definitions and properties of netwo…
Privacy-Preserving Multiparty Learning For Logistic Regression
Wei Du, Ang Li, Qinghua Li
In recent years, machine learning techniques are widely used in numerous applications, such as weather forecast, financial data analysis, spam filtering, and medical prediction. In…
Text Embeddings for Retrieval From a Large Knowledge Base
Tolgahan Cakaloglu, Christian Szegedy, Xiaowei Xu
Text embedding representing natural language documents in a semantic vector space can be used for document retrieval using nearest neighbor lookup. In order to study the feasibilit…
Budget Allocation for Power Networks Reliability Improvement: Game-Theoretic Approach
Hamzeh Davarikia, Masoud Barati, Yupo Chan +1
Budget allocation for power system reliability improvement is considered among the sophisticated problems because of its nonlinear nature. This nonlinearity makes the problem intra…
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings
Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah +2
Keyword extraction is a fundamental task in natural language processing that facilitates mapping of documents to a concise set of representative single and multi-word phrases. Keyw…
A Multimodal Approach to Predict Social Media Popularity
Mayank Meghawat, Satyendra Yadav, Debanjan Mahata +3
Multiple modalities represent different aspects by which information is conveyed by a data source. Modern day social media platforms are one of the primary sources of multimodal da…
Optimal Power Flow with Disjoint Prohibited Zones: New Formulation and Solutions
Xian Liu, Hamzeh Davarikia
The constraints induced by prohibited zones (PZs) were traditionally formulated as multiple disjoint regions. It was difficult to solve the optimal power flow (OPF) problems subjec…
Highly accurate model for prediction of lung nodule malignancy with CT scans
Jason Causey, Junyu Zhang, Shiqian Ma +6
Computed tomography (CT) examinations are commonly used to predict lung nodule malignancy in patients, which are shown to improve noninvasive early diagnosis of lung cancer. It rem…