Deep Learning Day!

When:

Where:

Why:

Final Project Presentations For All Who Are Interested!

ZOOM:

https://brown.zoom.us/j/94672594681

Time	Title	Members
9:00 AM	Opening Remarks

9:10 AM	Session 1: Computer Vision	(Google Calendar Event)
9:10 AM	DeepVerse: Database Assisted Object-Retrieval 3D Room Reconstruction	Sagarika Ramesh, Ramya Harikrishnan, Chiang-Heng Chien
9:22 AM	Facial Expression Detection and Emoji Conversion	Elbert Wu, Bohao Wang, Ying Sun
9:34 AM	You Can't See Me: Style Transfer for Optimal Camouflage	Katie O’Leary, Mike Tapia, Harrison Cho, Andrew Wang
9:46 AM	Neural Picasso: Compositional Sketch Generator	Jiahao Liu, Zheyuan Zhou, Yun Li
10:00 AM	Poster Session (Parallel):
	Attention-Based Object Detection: CNNs and Transformers to detect objects present in images	Titas Grusnius, Zainab Iftikhar, Tyler Jacobson, Manar Abdelatty
	Captioning Images Through Identifiers Team DEA	Ethan Bove, David Lubawski, Andy Zhou
	Color Blind Zebra: Colorizing Black & White Images	Esha Lakhotia, Anoop Manjal, Sam Devorsetz, Jason Eveleth
	Creatively Captioning Culinary Cuisines	Ian Acosta, Meera Kurup, Sophia Tu, Kelly Wang
	Detecting Humans In Crowds With Inspiration From YOLOv3	Edward Huh, Sam Bessey, Paul Xu
	DLGeo: Calculating Potential Urban Solar Output Using CNNs for Satellite Image Segmentation	Alexander Kamper, Siddhartha Prasad, Nathan Benavides-Luu
	Image Colorization: We're colorizing black and white images! Team Coloring Book	Mazine Suliman, Sabrina Chwalek, Nathan Mugerwa
	Learning Linear Temporal Logic! Grounding Language to Non-Markovian Tasks with No Supervision of Task Specifications	Andrew Li, Ben Schornstein, Celina Ye, Rob Scheidegger
	line2picture: Deep learning framework for transforming outlines of portraits to faces	Truong Cai, Neophytos Christou,Wangdrak Dorji, TaShawn Arabian
	Regularization Explainability Analysis: On the effects of different regularization methods for image model explainability	Jay Gopal, Yousef Elgodamy
	Remove Blocking Artifacts From Compressed Images w/ Deep Learning	Jesse Gallant, Oren Kohavi, Michael Li
	SinGAN: Reimplementing a generative model from a single natural image	Keitaro NIshijima, Zachary Chan, Raghav Puri
	Zoo Crew: Animal Classification Using CNN and KNN Combination	Seungje (Felix) Lee, William Mclaren, Drew Kirk, and Nico Aliotopier
	Sketch to Image Generation: Using GANs for Converting Hand-Drawn Sketches to Images	Yifei Wang, Siyang Li, Tianran Zhang, Neal Yin

10:30 AM	Session 2: Biology and Health	(Google Calendar Event)
10:30 AM	Arrhythmia classification using capsules: A semi-supervised capsule-aided CNN model for classifying arrhythmia types from ECG signals	Andrei Petrus, Jason Hooker, Varun Kumar
10:42 AM	Using CycleGAN Image to Image translation to Unbias Melanoma Skin Lesions Data	Mark Adut, Kaan Aygen, Lukas Kania, Emre Toner
10:54 AM	Aging Single Cell: Deep learning for single-cell age prediction	Yihuan Hu, Manlin Li, Guanjie Linghu, Doudou Yu
11:06 AM	Prediction of miRNA Diseases Associations Using Graph Convolutional Network	Xuya Gao, Zeming Liu, Tongtong Zhao
11:18 AM	Dental Care Recommendations: Deep learning model to develop a recommender system for dental care	Yijing Gao, Yutong Liu, Qingyan Guo, Wangsan Tian
11:30 AM	Poster Session (Parallel):
	Classifying WebMD Drug Reviews Team ACE	Evan Li, Austin Lang, Camille Zhang
	Generation of Diverse Image Data Using Style Transfer for Debiasing Melanoma Classification Models Team DL on the dl	Alexander Le, Deniz Toruner, Kento Abeywardane, Michelle Mai
	Melanoma Classification from Skin Images	Preeti Nagalamadaka, Aayush Setty, Anishansu Pradhan
	Neural Chemistry: Automatic Chemical Design Using Data-Driven Molecular Representations	Krishna Tewari, Ray Vecchio, Cody Sims
	Re-Implementing P-NET: Biologically-informed neural architecture to improve prediction of prostate cancer states	Liyuan Ao, Liza Kolev, Bumjin Joo, Brian Kirz
	Tumor Predictors: Predicting recurrence in ovarian cancer using deep learning	Reetam Ganguli, Theodore Akpinar, Jeffrey Dai
	Liver tumor segmentation for improving visualization and treatment outcomes	Abigail Marks, Ria Panjwani, Priyanka Solanky
	HiC > Fanta: HiCPlus In Tensorflow	Hannah Julius, Ijeoma Meremikwu, Ivan Pineda-Dominguez, Elizabeth Wu
	Verifying m6A site-prediction abilities of Gene2Vec against direct m6A-seq-generated data	Jonathan Arditi, Henry Rayner

12:00 PM	Lunch Break

12:40 PM	Session 3: Time Series and RL	(Google Calendar Event)
12:40 PM	Arkanoid Breakout Game	Mingye Zhang, Cathy Gao
12:52 PM	Deep Q-Learning for Atari River Raid	Nange Li, Yingfei Hong, Yuetian Li, Yash Mehta
1:04 PM	Argoverse’d: Motion Forecasting with Deep Learning Trained on a New Dataset Team Vadimaniacs' Heresy	Hardy Bright, Robyn Logan, Shane Parr, Ye Wang
1:16 PM	Credit Card Fraud Detection With Deep Learning	Haolin Chen, Yadi Yang, Yutian Zhang
1:30 PM	Poster Session (Parallel):
	Building a Model to Classify Periodic Time-Series Data (and using it to generate some cute animations)	Advay Mansingka, Momoka Kobayashi, Joanna Tasmin
	Heavenly Descent: Snake Implementation using Deep Q-Learning	Eseoghene Ajueyitsi, Kendra Lee, Daniel Li, Ezra Rocha
	Pete's Roses: Deep learning for sports betting strategy	Noah Ehrhardt, Geoff Grossman-Mckee, Michael Chung
	Predicting future crypto prices using an LSTM model	Adam Bredvik, Max Dekle, Damon Burdell
	Price Predictor / Portfolio Manager for Old School Runescape: Deep learning based forecasting in game item prices based on past market metrics	Will Jaekle, David Boles, Emmanuel Peters
	DLNA: DNA Sequence Classification using Deep Learning	Samuel Murk Caya, Gabriel Gallardo, Liam O’Connor, Jacques von Steuben
	Analyzing Sentiment of IMDB Movie Reviews	Anika Ahluwalia, Lauren Choi, Naomi Park, Galen Winsor
	Predicting Housing Prices with Deep Learning	Akshaan Parikh, Kunj Padh, Cruz Fernandes

2:00 PM	Session 4: Natural Language Processing	(Google Calendar Event)
2:00 PM	Ukrainian War Sentiment Analysis + Topic Modeling	Keying Gong, Yifei Song, Zhirui Li, Hanjun Wei
2:12 PM	Tweet Disasters: Sentiment Analysis to determine which tweets from Twitter are about real disasters	Kelly Patel, Jialiang Zhou, Jiahao Wei
2:24 PM	Prediction of the NYT Best Seller Book using an NLP model	Logan Heft, Samaye Lohan, Dongjun Shin, Youn Kyeong Chang
2:36 PM	AlphaText: A Text Summarization and Q&A Chatbot for Extracting Information From Papers	Bochen Fu, Jiatao Yuan, Tianqi Liu, Zhuoran Han
2:48 PM	Polite Pythons: Politeness text style transfer	Pooja Barai, Emily Nomura, Megan Sindhi
3:00 PM	Poster Session (Parallel):
	Abstract-Based Sentiment Analysis using Gated Convolutional Neural Network on Challenge Dataset	Eric Tang, Shreyas Mishra, Sanyu Rajakumar, Alex Bao
	App-pinion: Neural Temporal Opinion Modelling for Opinion Prediction on Twitter	John Sullivan, Troy Conklin, Nicholas Bottone, Robert Koch
	BabySitter! Using Child Language Data to Train Good Language Models	Mingxuan Ji, Grace Ouedraogo, Yanwan Zhu
	Fake Reviews Classification	Peter Van Katwyk, Alice Marbach, Ricky Zhong
	The Reboot: A Deep Learning Sitcom Script Generator	Grace Lee, Jian Cong Loh, Riya Dulepet
	Yip Yap Yelp: Predicting Yelp Star Ratings from Written Reviews	Bridget Griswold, Madison Peters, Hannah O’Keeffe, Cal Stellato

3:30 PM	Session 5: Art, Music, and Other Applications	(Google Calendar Event)
3:30 PM	Music Mood Classification	Breese Sherman, Nathan Plano, Elizabeth Chen, Qingyang Xie
3:42 PM	AmbienceNet: System for matching text with emotionally resonant music	Yeunun Choo, Jin Hyeok Noh, Theodora Kunicki
3:54 PM	Free-Hand Sketch Recognition and Image Retrieval	Yiqing Liang, Shijie Mao, Ziyin Li
4:06 PM	Doddlebot: Composing Sketched Scenes from Text Descriptions for Interactive Applications	Radhika Mehrotra, Salvador Brandi, Shipra Priyadarshini, Patrick Connor
4:20 PM	Poster Session (Parallel):
	Acouztic: Generating a song with lyrics from words of choice	Nop Toemtrisna, Phunn Boonchouchouy, Chayathorn Kulthonchalanan
	Automatic Poetry Generation from Prosaic Text	Arrington Harper, Fernando Cisneros, Pedro Monteiro Borges, Paloma Salseda
	Brunonian QuickDraw by the Sasketchewan Selects	Kenny Ihenatu, Kris Diallo, Chris Chae, Samuel Musker
	Creative Adversarial Networks: Generating Art in New Styles Team CAM	Marc Mapeke, Alana White, Carlos Perez-Ruiz
	Deep Yearning: Image Classification Model using Visual Transformers	Ethan Asis, Isabelle Towle, Riki Fameli, Obi Chikezie
	Fine Art Classification: Classifying pieces of fine art by genre	Anna Dai, Rena Jiang, Ezra Muratoglu
	Generating effective and creative logos for companies using GANs Team Losers Studying The Matrix	Alex Duchnowski, Hongyi Li, Qinan Yu, Sidharth Anand
	Ode to Code: Generating coherent songs involving singing and lyrics from multiple musical genres and artist styles	Brian Kim, Dana Lee, Rachel Ma, Kenya Kimata
	Sign Language Translation	Cormac Collins, Dylan Hu, Jenny Yu, Tianren Dong
	Style-specific music generation with biaxial LSTM	Xin Lian, Yanyu Tao, Yezhi Pan, Yongjeong Kim
	The Deep Learners: Music Classification Using Convolutional Recurrent Neural Networks	Brandon Diaz, Colin Savage, Jasmine Shum, Parker Simon

4:50 PM	Closing Remarks