A5012872167- Adrenal Hormones and Disorders
- Hormonal and reproductive studies
- Growth Hormone and Insulin-like Growth Factors
- Cutaneous Melanoma Detection and Management
- Birth, Development, and Health
- Hormonal Regulation and Hypertension
- Optical Imaging and Spectroscopy Techniques
- Diet and metabolism studies
- AI in cancer detection
- Consumer Market Behavior and Pricing
- Estrogen and related hormone effects
- Pituitary Gland Disorders and Treatments
- Optical Coherence Tomography Applications
- Photoacoustic and Ultrasonic Imaging
- Machine Learning and Data Classification
- Metabolism and Genetic Disorders
- Data Stream Mining Techniques
- Stress Responses and Cortisol
- Spaceflight effects on biology
- Skin Protection and Aging
- Electrolyte and hormonal disorders
- Sexual Differentiation and Disorders
- Mobile Crowdsensing and Crowdsourcing
- Digital Marketing and Social Media
- Eicosanoids and Hypertension Pharmacology
Canfield Scientific (United States)
2015-2024
Reckitt Benckiser (United States)
2021
Procter & Gamble (United States)
2021
Mario Negri Institute for Pharmacological Research
2017
Istituti di Ricovero e Cura a Carattere Scientifico
2017
New Jersey Institute of Technology
2007-2012
Rutgers New Jersey Medical School
2011
Rutgers, The State University of New Jersey
2011
The Alfred Hospital
1973
University of Chicago
1973
Billions of online display advertising spots are purchased on a daily basis through real time bidding exchanges (RTBs). Advertising companies bid for these behalf company or brand in order to purchase banner advertisements. These decisions must be made fractions second after the potential purchaser is informed what location (Internet site) has spot available and who would see advertisement. The entire transaction completed near real-time avoid delays loading page maintain good users...
This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, the purpose of finding good audiences brand advertising (as opposed to click maximizing, example). Targeting social-network neighbors resonates well with advertisers, on-line browsing data counterintuitively can allow identification anonymously. Besides being one first papers our knowledge mining advertising, this makes several important...
In many online advertising campaigns, multiple vendors, publishers or search engines (herein called channels) are contracted to serve advertisements internet users on behalf of a client seeking specific types conversion. such individual often served by more than one channel. The process assigning conversion credit the various channels is "attribution," and subject intense interest in industry. This paper presents causally motivated methodology for attribution campaigns. We discuss need...
Recent research has helped to cultivate growing awareness that machine learning systems fueled by big data can create or exacerbate troubling disparities in society. Much of this comes from outside the practicing science community, leaving its members with little concrete guidance proactively address these concerns. This article introduces issues discrimination community on own terms. In it, we tour familiar mining process while providing a taxonomy common practices have potential produce...
Artificial intelligence has significantly advanced skin cancer diagnosis by enabling rapid and accurate detection of malignant lesions. In this domain, most publicly available image datasets consist single, isolated lesions positioned at the center image. While these lesion-centric have been fundamental for developing diagnostic algorithms, they lack context surrounding skin, which is critical improving lesion detection. The iToBoS dataset was created to address challenge. It includes 16,954...
KDD Cup 2013 challenged participants to tackle the problem of author name ambiguity in a digital library scientific publications. The competition consisted two tracks, which were based on large-scale datasets from snapshot Microsoft Academic Search, taken January and including 250K authors 2.5M papers. Participants asked determine papers an profile are truly written by given (track 1), as well identify duplicate profiles 2). Track 1 track 2 launched respectively April 18 20, 2013, with...
Internet display advertising is a critical revenue source for publishers and online content providers, supported by massive amounts of user publisher data. Targeting ads can be improved substantially with machine learning methods, but building many models on data becomes prohibitively expensive computationally. This paper presents combination strategies, deployed the firm Dstillery, from extremely high-dimensional efficiently without human intervention. includes: (i)~A method...
Background: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting highly variable due to lack consistent methodology and inter-rater agreement. Machine learning has been shown be valuable tool image classification in dermatology. Objectives: To test whether automated, reproducible counts are possible through combination convolutional neural networks (CNN) three-dimensional (3D) total body imaging. Methods: Total images from study general...
Existing artificial intelligence for melanoma detection has relied on analysing images of lesions clinical interest, which may lead to missed melanomas. Tools the entire skin surface are lacking.To determine if can be distinguished from other using data automated analysis 3D-images.Single-centre, retrospective, observational convenience sample patients diagnosed with at a tertiary care cancer hospital. Eligible participants were those whole-body 3D-image captured within 90 days prior...
Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public datasets are comprised of dermoscopic photos and limited by selection bias, lack standardization, lend themselves development that can only be used skilled clinicians. The SLICE-3D (“Skin Lesion Image Crops Extracted from 3D TBP”) dataset described here addresses those concerns contains images over 400,000 distinct lesions seven dermatologic centers around the world....
Most data mining research is concerned with building high-quality classification models in isolation. In massive production systems, however, the ability to monitor and maintain performance over time while growing size scope equally important. Many external factors may degrade including changes distribution, noise or bias source data, evolution of system itself. A well-functioning must gracefully handle all these. This paper lays out a set design principles for large-scale autonomous systems...
The proliferation of the lossy MP3 format as standard for audio transferred over internet is great concern to audiophiles, those who deeply care about good quality. Typically, bit rate an file used a relative measure quality, however, this check fails if has been transcoded from lower higher rate. In paper, we propose method detecting original given by analyzing its high frequency spectrum. Using Support Vector Machine classifier and five classes rates (CBR 128 kbps, 192 256 320 VBR-0), our...
Data generated by observing the actions of web browsers across internet is being used at an ever increasing rate for both building models and making decisions. In fact, a quarter industry-track papers KDD in 2012 were based on data online actions. The models, analytics decisions they inform all stem from assumption that observed captures intent users. However, large portion these are not intentional, effectively polluting models. Much this activity either robots traversing or result...
Online systems promise to improve advertisement targeting via the massive and detailed data available. However, there often is too few on exactly outcome of interest, such as purchases, for accurate campaign evaluation optimization (due low conversion rates, cold start periods, lack instrumentation offline long purchase cycles). This paper presents a treatment proxy modeling, which based identification suitable alternative (proxy) target variable when true objective in short supply (or even...
Optical imaging of skin-lesions for early detection and management the most fatal skin-cancer malignant melanoma is significant interest in mass screening with high-risk population. Surface illumination based optical methods such as epiluminescence light microscopy (ELM) through ldquoDermascopyrdquo has shown a potential improving diagnosis melanomas. Limitations surface reflectance systems have been realized analyzing images important vascular depth dependent information. We developed novel...
Subsurface information about skin lesions, such as the blood volume beneath lesion, is important for analysis of lesion severity towards early detection cancer malignant melanoma. Depth can be obtained from diffuse reflectance based multispectral transillumination images skin. An inverse reconstruction method presented which uses a genetic algorithm optimization procedure with novel population initialization routine and nudge operator on to reconstruct melanin layer components. Forward model...
Many firms depend on third-party vendors to supply data for commercial predictive modeling applications. An issue that has received very little attention in the prior research literature is estimation of a fair price purchased data. In this work we present methodology estimating economic value adding incremental applications and two cases studies. The starts with effect model performance terms common classification evaluation metrics. This then translated into units, which gives an expected...
Detecting the early stages of melanoma can be greatly assisted by an accurate estimate subsurface blood volume and oxygen saturation, indicative angiogenesis. Visualization this present beneath a skin lesion achieved through transillumination skin. As absorption major chromophores in is wavelength dependent, multispectral imaging provide needed information to separate out relative amounts each chromophore. However, critical challenge strategy relating pixel intensities observed given image...