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Tuesday, April 26, 2022
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12:00 PM
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1:30 PM
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Virtual Drop-in Study Abroad Advising
- Location: > See description for location
- Contact: International Programs Office
- Description: Have a quick question for a study abroad advisor? Would you like to start planning your study abroad experience? Join us on zoom to discuss opportunities. Students will be seen on a first-come, first-served basis.
For zoom meeting information please contact Gina Reis at greis@umassd.edu
- Topical Areas: Faculty, Staff and Administrators, Students, University Community, Study Abroad
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1:00 PM
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4:00 PM
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Drop-In Session: Resume & Cover Letter Review
- Location: Career Center (MacLean Campus Center 001)
- Contact: Career Center
- Description: Drop-In Sessions are meant for quick cover letter and resume reviews (15 minutes max). No registration or appointment necessary. Come to the Career Center and you will be helped on a first-come, first-serve basis.
- Topical Areas: Faculty, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, Career Center, Student Affairs
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5/4
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GIC Annual Enrollment
- Location: Online
- Contact: Human Resources
- Description: Annual Enrollment offers eligible Commonwealth of Massachusetts employees the opportunity to review GIC benefit options and enroll in or update coverage without a qualifying event.
Flexible spending is the only benefit you need to re-enroll in every year during open enrollment if you would like to continue to have this benefit.
You do not need to do anything with your health insurance benefit if you would like to continue with the same plan.
- Link: https://my.umassd.edu/group/human-resources/2023-benefits
- Topical Areas: Faculty, SMAST, Staff and Administrators, Human Resources
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3:30 PM
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4:30 PM
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4/28
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UMass Dartmouth 2022 Art + Design Senior Exhibition
- Location: CVPA: College of Visual and Performing Arts
, 285 Old Westport Road, Dartmouth, MA
- Cost: 0
- Contact: University Art Gallery
- Description: UMass Dartmouth 2022 Art + Design Senior Exhibition
Part II: Painting, Drawing, Sculpture, Integrated Studio Arts, Photography, Fashion, and Interior Architecture + Design (IAD)
Opening Reception: Thursday, April 21, 2022, 6-8 pm
Artist Talks: Tuesday, April 26, 2022, 4-5 pm
CVPA Campus Gallery hours during this exhibition: Mon-Thur 10-4 pm, Friday 10 am-12 pm and 3-5:30 pm, Saturday 10-3 pm
Part III: Animation & Game Arts Festival: April 21, 2022, 6-8 pm (Rm 252)
The College of Visual and Performing Arts is proud to present the culminating exhibition of UMass Dartmouth graduating BFA students from Graphic Design and Illustration. The exhibition is on view in the CVPA Campus Gallery on the first floor of CVPA building at the University of Massachusetts Dartmouth, 285 Old Westport Road, Dartmouth.
The second part of the exhibition presents students from the areas of Painting, Drawing, Sculpture, Integrated Studio Arts, Photography, Fashion, and Interior Architecture + Design (IAD) from April 21-28 with the Opening Reception on Thursday, April 21, 6-8 pm and Artist Talks on Tuesday, April 26, 4-5pm at CVPA Campus Gallery.
Animation & Game Arts Festival takes place on Thursday April 21, 6-8 pm with the exhibition and projections at CVPA Room 252.
EXHIBITING ARTISTS:
Painting
Amanda Arruda
Olivia Barnes
Catherine E Chase
Carol Long Jepson
Tyler C Nelson
Drawing
Chloe Bachstein
Sculpture
Bones Jensen
Integrated Studio Arts
Gabriel Q Cano-Daly
Sarah J Seguin
Textiles
Gwynneth T Burns
Jenifer McCarthy
Photography
Luiz Bicalho
Jamie Ciarmataro
Rachel Dufresne
Jacob Fay
Andrew Fernandes
Mary Roberts
Dakota Shwedo
Michael Skahan
Alissa Taxiera
Fashion
Destine Demosthene
Nuri Sherpa
Interior Architecture + Design (IAD)
Alexis Canaday
Axel Jeremie
Peyton McCarthy
Jay Weygand
Animation & Game Arts
Bridget Bagana
Bridget Bannon
Zachary Baptista
Steven Merrill
Madison Downey
Lauren Froeberg
Jace Gagne
Yi-Hung Hsu
Alexandra Kibilko
Cashley Kinney
Mya Labrecque
Alex Light
Rachel Mancour
Tyler Molander
Nathan Moura
Darley Ortiz Garcia
Abigail Sherwin
Emmett Smith
Kyle Trahan
Kelley Williams
Contact: Viera Levitt, Gallery Director, #8555, gallery@umassd.edu
Direct number to the gallery #8550
umassd.edu/cvpa/galleries
facebook.com/UMassDartmouthGalleries
instagram.com/UMassDartmouthGalleries
- Link: https://www.umassd.edu/cvpa/galleries/campus-gallery/exhibitions/2022/2022-art-design-senior-exhibition.html
- Topical Areas: Faculty, General Public, Students, Students, Undergraduate, University Marketing, Artisanry, College of Visual and Performing Arts, Fine Arts, Visual Design, Exhibits, Films, Visual Arts
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12:00 PM
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1:30 PM
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3:30 PM
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6:30 PM
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Three Minute Thesis Competition 2022
- Location: Claire T. Carney Library, Room 205
- Contact: > See Description for contact information
- Description: Three Minute Thesis Competition - Undergraduate Preliminary
When: Tuesday, April 26, 2022, 3:30 PM - 6:30 PM
Where: Room 205, Claire T. Carney Library
Description: Three Minute Thesis is a research communication competition which challenges students to present a compelling oration on their research topic and its significance in just three minutes. The competition develops academic, presentation, and research communication skills and supports the development of research students' capacity to effectively explain their research in language appropriate to a non-specialist audience. The top six presenters will advance to the combined undergraduate/graduate finale. This event will be held in Room 205, Claire T. Carney Library.
Contact Associate Professor Pamela Karimi for additional details @ 508 910-6957 or our@umassd.edu.
The Three Minute Thesis (3MT®) is an academic research communication competition developed by The University of Queensland (UQ), Australia.
- Link: www.threeminutethesis.org
- Topical Areas: General Public, University Community
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5:30 PM
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6:30 PM
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Catholic Mass
- Location: > See description for location
- Contact: Center for Religious and Spiritual Life
- Description: Join us for Catholic Mass in the Reflection Room on the second floor of the campus center at 5:30 pm.
- Topical Areas: Faculty, Staff and Administrators, Students, Center for Religious and Spiritual Life, Student Affairs, University Community
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4:00 PM
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5:00 PM
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Special seminar series in Applied Statistics and Data Science
- Location: > See description for location
- Contact: > See Description for contact information
- Description: Featuring 2 talks by our own undergraduate researchers in Applied Statistics and Data Science.
DATE: Apr 26, 2022 (Tuesday)
TIME: 4:00-5:00 PM (ET)
LOCATION: Join Zoom Meeting
https://umassd.zoom.us/j/93625685340?pwd=cjdUZlFjQTZJYlczbXZaMnFQQWM2dz09
Meeting ID: 936 2568 5340
Passcode: 714640
TALK 1: Improving Natural Language Classification With Augmented Data From GPT-3
SPEAKER: Sal Balkus
Abstract:
GPT-3 is a large-scale natural language model developed by OpenAI that can perform many different tasks, including topic classification. Although billed as "few-shot learning" with only a small number of in-context examples required to teach a task, in practice the model requires examples to be either of exceptional quality or of a higher quantity than easily created by hand. To address this issue, we teach GPT-3 to classify whether a question is related to data science using a set of in-context examples augmented by its own generative capabilities - that is, we generate additional examples using GPT-3 itself. This study compares two classifiers: the GPT-3 Classification endpoint, and the GPT-3 Completion endpoint with optimal in-context examples chosen via genetic algorithm. We find that, while the Completion endpoint achieves upwards of 80 percent testing accuracy, using the Classification endpoint with an augmented example set yields far improved accuracy during validation.
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TALK 2: Generating Cancer Images to Improve Cancer Diagnosis Accuracy
SPEAKER: Ben Pfeffer
Abstract:
The lack of publicly available medical data has been negatively impacting Artificial Intelligence in its ability to be used in the medical field. Generative Adversarial Networks, or GANs, have been used to create similar, but novel images using real images. Hence, GANs may be used to produce images that can augment a small amount of publicly available medical data in a way that leads to the improvement of Artificial Intelligence's accuracy. Here, breast cancer tissue images and their corresponding h-scores were scraped from Stanford's TMA database and converted into GLCMs, which were then read by GANs for each h-score to produce novel images of each score. Then, the new and generated data were used to train an Ordinal-Convolutional Neural Network, whose results were compared to a network that was trained without the generated data. The O-CNN whose training data consisted of the generated images as well as the base images had an increased accuracy and a decreased MSE when compared to the O-CNN whose training data consisted only of the base images. These results provide a method for improving Artificial Intelligence's ability on smaller datasets and may help provide a slight improvement when dealing with the issue of a lack of publicly available medical data.
All are welcome!
For more information, please contact Donghui Yan (dyan@umassd.edu).
- Topical Areas: University Community, Mathematics, Computer and Information Science, Research, Undergraduate Research, Lectures and Seminars
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