Digital Commons Network^™

Legal Precedent Mining With Machine Learning, Alexandros Salazar

Defensive Publications Series

Generally, the present disclosure is directed to gathering legal precedent from a corpus of law. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict decision data from a court decision based on the court decision (e.g., a textual copy of the court decision).

Determining Validity Of A Point Of Interest Based On Existing Data, Melanie L. Donny-Clark, Jingyu Zhou, Shuang Qu

Defensive Publications Series

Generally, the present disclosure is directed to determining whether or not a point of interest is valid based on existing data. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a likelihood of a point of interest being valid based on ‘clues’ gathered from existing data.

Extracting Point Of Interest Information From Query Logs, Melanie L. Donny-Clark, Jing Dai

Defensive Publications Series

Generally, the present disclosure is directed to extracting information about a point of interest from one or more query logs. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict local intent for a query based on content of the query.

Correcting Image Anomalies Using Machine Learning, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to correcting anomalies in an image. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to correct one or more anomalies in an image based on image data from an image.

Fitness Program For User-Defined Goals, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to a fitness program tailored to a user. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate a goal-oriented fitness program to a user based on user physiological and or fitness data.

User Interface And Application Programming Interface For Explaining Personalized Machine-Learned Model Outputs, N/A

Defensive Publications Series

Generally, the present disclosure is directed to systems and methods that enable explanation of personalized machine-learned model outputs. For example, the systems and methods of the present disclosure can include or leverage a user interface and/or an application programming interface (API) to enable explanation of model outputs. According to one aspect, the present disclosure provides a principled way of discovering which actions or range of actions that the user took contributed to a particular output that the model predicted at later time. This allows, for example, an application that employs the personalized model to describe to the user which actions …

Providing Reader Assistance Based On Reader Interaction, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to assisting users of an electronic document. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to provide assistance for one or more content items in an electronic document to a user of the electronic document based on the user’s interaction with the electronic document.

Machine Learning To Predict Advertisement Targeting Solutions, Zachary Garrett

Defensive Publications Series

Generally, the present disclosure is directed to using machine learning to predict advertisement targeting solutions. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict optimal advertisement target solutions such as, for example, keyword word sets, negative word sets, location restrictions, bid adjustments, and/or schedules based on product data such as, for example, advertisement content (e.g., ad creatives text), seed keywords, images of the product, and/or advertiser metadata.

Using Image Recognition To Control Devices, Johan Ulrich Lewin Jessen, Morten Just Petersen

Defensive Publications Series

Generally, the present disclosure is directed to using image recognition to control devices. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an appropriate user interface to control one or more remotely controllable appliances based on image data.

Generating Icons For Applications In An Applications Marketplace, Jun Hong

Defensive Publications Series

Generally, the present disclosure is directed to generating one or more icons for one or more applications in an applications marketplace. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate an icon for an application based on one or more icons for existing applications.

Classifying Aspect Ratios Of Images, Andrew Gallagher

Defensive Publications Series

Disclosed herein is a mechanism for detecting and/or adjusting aspect ratio in images and videos. For example, the mechanism can include analyzing a digital image having pixels by identifying sets of pixels corresponding to one or more objects in the digital image, analyzing the set of pixels corresponding to at least one object in the image to determine an estimated image aspect ratio, and applying an image transform to the digital image based on the estimated image aspect ratio to generate a modified digital image. In a more particular example, the one or more objects can correspond to faces, animals, …

Machine Learning To Disable Applications From Using Background Resources Except At Appropriate Times, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to disabling computing applications from using background resources (e.g., processing or data transmission) except at appropriate times (e.g., times when the user is likely to use the electronic device). In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an appropriate time for an application to use resources based on device usage data.

Machine Learning To Select Best Network Access Point, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to selecting a best network access point when multiple are available (e.g., including cell towers, WiFi access points, etc.). In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a best network access point based on device usage data.

The Value And Problems Of Digital Preservation For Historical Documents In China, Yongsheng Chen, Huanning Su

Proceedings from the Document Academy

China has been taking on large-scale digitization of historical documents. This paper summarizes four advantages of the digital preservation of historical documents from the practice of Chinese archives. First, it is good for protecting the originals; second, it makes the historical documents more convenient to use; third, it lays a resource foundation for the construction of digital archives; last, it is beneficial for utilizing historical documents. This paper also points out problems in China's approach to the digital preservation of historical documents. First, it has been proceeding without a plan. Such a plan should be created by following the Value …

Digital Film Preservation: The Search For The Original, Roswitha Skare

Proceedings from the Document Academy

No abstract provided.

Before The Antelope: Robert Pagès On Documents, Michael K. Buckland

Proceedings from the Document Academy

In 1951 Suzanne Briet wrote, with minimal explanation, that an antelope could become a document. In 1948 Robert Pagès (1919-2007) published an explanation of the same and related ideas. Textual and other graphic documents are about something, hence descriptive and derived. Animals and other objects are informative because they are illustrative of themselves either as specimens of a class (tokens of a type) or simply as particular individuals (“autodocuments”). Pagès’ career and ideas are briefly discussed.

Scorpions Of The Horn Of Africa (Arachnida: Scorpiones). Part Xiii. Review Of Pandinops Hawkeri, P. Peeli, P. Platycheles, And P. Pugilator (Scorpionidae), František Kovařík, Graeme Lowe, Hassan Sh Abdirahman Elmi

Euscorpius

Pandinops platycheles (Werner, 1916) is diagnosed and fully complemented with color photos of types, and Pandinops pugilator (Pocock, 1900) is diagnosed and fully complemented with color photos of live and preserved specimens, as well as its habitat. The hemispermatophore of P. pugilator is illustrated and described for the first time. Pandinus hawkeri Pocock, 1900 and Pandinus peeli Pocock, 1900 are synonymized with Pandinops pugilator (Pocock, 1900).

Configuring Alarm Setting Using Machine Learning, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to configuring the initial time set in an alarm system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict a time to set an alarm based on historical alarm records and/or other contextual data.

Machine Learning To Select Media Playback Volume, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to setting a media playback volume of an electronic device. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an appropriate media playback volume based on device usage data.

Machine Learning To Select Input Language On A Software Keyboard, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to selecting an input language on a software keyboard. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an input language for a keyboard based on device usage data.

Machine Learning To Select Screen Brightness Level, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to setting a brightness of a screen of an electronic device (e.g., during media viewing or media playback). In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an appropriate screen brightness level based on device usage data.

Machine Learning To Automatically Lock Device Screen At Opportune Time, Thomas Price, Eytan Lerba

Defensive Publications Series

Generally, the present disclosure is directed to determining when to lock a screen of an electronic device such as, for example, a smartphone. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an appropriate lock screen behavior based on device usage data.

Generating Travel Itineraries Based On Travel History Of Similar Users, Alexandre Chinien

Defensive Publications Series

Generally, the present disclosure is directed to generating a travel itinerary for a user based on travel history of similar users. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate a travel itinerary for a user based on travel history data from one or more users.

Watts Teaches About Social Responsibility And Leadership, Aldemaro Romero Jr.

Publications and Research

“When I was an undergraduate, I kept ip- opping back and forth between being a business major and being a psychology major. Then I took a class on giving people psychological assessments to help them identify what their strengths are and what careers they might be a good fit for. It was in that class that I first heard of industrial/organizational psychology.” This is how Dr. Logan Watts explains how he chose to become a psychologist.

A native of Georgetown, Texas, he obtained his doctorate in industrial/organizational psychology from the University of Oklahoma, and today he is an assistant professor …

Robert Wellman, Jr. V. Butler Area School District

2017 Decisions

USDC for the Western District of Pennsylvania

Erratum: Correction To: Characteristics Of Therapeutic Alliance In Musculoskeletal Physiotherapy And Occupational Therapy Practice: A Scoping Review Of The Literature (Bmc Health Services Research (2017) 17 1 (375)), Folarin Babatunde, Joy Macdermid, Norma Macintyre

Bone and Joint Institute

CORRECTION: Following publication of the original article [1], an erratum was initiated in order to include supplementary material that was not updated and not included during the online submission of the authors' corrections. The additional corrections, included below, are to Appendix II. The original article has been corrected.

In Re: Michael Reynolds

2017 Decisions

USDC for the Middle District of Pennsylvania

Circuit Rift Sends Sound Waves: An Interpretation Of The Copyright Act's Scope Of Protection For Digital Sampling Of Sound Recordings, Elyssa E. Abuhoff

Brooklyn Law Review

Digital sampling of sound recordings itself has become an art—an art that has given rise to hit songs that have out-charted the songs they sampled. Yet there is a debate within the music industry and legal field over whether there is a de minimis exception for the unauthorized use of sound recordings. In the summer of 2016, in VMG Salsoul, LLC v. Ciccone, the Ninth Circuit departed from the Sixth Circuit’s unpopular 2006 decision in Bridgeport Music, Inc. v. Dimension Films by holding that the Copyright Act allows for a de minimis exception for the unauthorized use of sound recordings. …

Viral Marketing – The Case Of Turkey, Hanna Lewicka

Journal of Marketing and Consumer Behaviour in Emerging Markets

Turkish advertisements in the form of a case study to determine which factors seem to play the most important role in terms of viral marketing message perception in Turkey. As a country in which the increasing role of digital media and the internet is beginning to dominate interpersonal communication, the use of viral approach in marketing is also growing. The examples of most viral videos in Turkey from the previous years confi rm that the most important factor which determines the success of a viral message is its content, which should be at the same time attention-catching and entertaining. Nevertheless, …

Effectiveness Of Social Work Reentry Programs At Preventing Recidivism, Daniel C. Grijalva

Publications and Research

Each year in the United States, thousands of individuals are released from prisons and must reintegrate into society. Ensuring these individuals obtain adequate employment upon release is key to keeping them from returning to the penal system. This paper examines different social work programs that attempt to secure employment for ex-offenders. This paper reviews the obstacles these programs face and considers how social workers can improve the effectiveness of these programs at preventing recidivism. This paper acknowledges that some of these programs have achieved moderate success in preventing recidivism but recognizes the need to research current programs’ methodologies so that …