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Article
Anthropogenic Vector Ecology and Management to Combat Disease Spread in Aquaculture
Anthropogenic vectors (transfer mechanisms) can facilitate the introduction and spread of aquatic disease in marine farming regions. Preventing or interrupting pathogen transfers associated with movements of t...
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Article
Open AccessMode attraction, rejection and control in nonlinear multimode optics
Novel fundamental notions hel** in the interpretation of the complex dynamics of nonlinear systems are essential to our understanding and ability to exploit them. In this work we predict and demonstrate expe...
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Article
Making clusterings fairer by post-processing: algorithms, complexity results and experiments
While existing fairness work typically focuses on fair-by-design algorithms, here we consider making a fairness-unaware algorithm’s output fairer. Specifically, we explore the area of fairness in clustering by...
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Article
Open AccessSymptoms and impacts of ambulatory nonsense mutation Duchenne muscular dystrophy: a qualitative study and the development of a patient-centred conceptual model
Duchenne muscular dystrophy is a rare genetic neuromuscular disorder, which can result in early death due to disease progression. Ataluren is indicated for the treatment of nonsense mutation Duchenne muscular ...
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Article
Open AccessA qualitative study on the impact of caring for an ambulatory individual with nonsense mutation Duchenne muscular dystrophy
Duchenne muscular dystrophy is a rare genetic neuromuscular disorder, which can result in early death due to disease progression. Ataluren is indicated for the treatment of nonsense mutation Duchenne muscular ...
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Article
A framework for deep constrained clustering
The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist for popular algorithms such as k-means, mixture models, and ...
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Chapter and Conference Paper
Towards Description of Block Model on Graph
Existing block modeling methods can detect communities as blocks. However it remains a challenge to easily explain to a human why nodes belong to the same block. Such a description is very useful for answering wh...
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Chapter and Conference Paper
A Framework for Deep Constrained Clustering - Algorithms and Advances
The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist for popular algorithms such as k-means, mixture models, and ...
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Chapter and Conference Paper
Constrained Clustering via Post-processing
Constrained clustering has received much attention since its inception as the ability to add weak supervision into clustering has many uses. Most existing work is algorithm-specific, limited to simple together...
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Article
Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections
Social networks and social media have played a key role for observing and influencing how the political landscape takes shape and dynamically shifts. It is especially true in events such as national elections ...
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Chapter and Conference Paper
Generic Constraint-Based Block Modeling Using Constraint Programming
Block modeling has been used extensively in many domains including social science, spatial temporal data analysis and even medical imaging
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Reference Work Entry In depth
Clustering with Constraints
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Article
Keyless dynamic optimal multi-bit image steganography using energetic pixels
Steganography plays an important role to hide data in apparently innocuous media (e.g., image, audio, video, text, etc.). Since most of the steganographic algorithms do not consider the image content while loc...
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Living Reference Work Entry In depth
Clustering with Constraints
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Article
Guest editorial: Special issue on data mining for medicine and healthcare
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Chapter and Conference Paper
Constrained Tensor Decomposition via Guidance: Increased Inter and Intra-Group Reliability in fMRI Analyses
Recently, Davidson and his colleagues introduced a promising new approach to analyzing functional Magnetic Resonance Imaging (fMRI) that suggested a more appropriate analytic approach is one that views the spa...
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Chapter and Conference Paper
Learning Automated Agents from Historical Game Data via Tensor Decomposition
War games and military war games, in general, are extensively played throughout the world to help train people and see the effects of policies. Currently, these games are played by humans at great expense and ...
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Chapter and Conference Paper
Complex Interactions in Social and Event Network Analysis
Modern social network analytic techniques, such as centrality analysis, outlier detection, and/or segmentation, are limited in that they typically only identify interactions within the dataset occurring as a f...
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Article
Transient small boats as a long-distance coastal vector for dispersal of biofouling organisms
Alaska is at the northern end of an apparent latitudinal trend of decreasing coastal marine introductions on the West Coast of North America. Historical propagule supply may have played a role in forming this ...
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Article
On constrained spectral clustering and its applications
Constrained clustering has been well-studied for algorithms such as K-means and hierarchical clustering. However, how to satisfy many constraints in these algorithmic settings has been shown to be intractable. On...