TransAI

Publications

2022

Adam Craig, Carl Taswell
Inclusion and Exclusion Criteria for Automating Adherence to Scope of Conference Calls for Papers. TransAI (2022)
Michael Williamson, Taehyung Wang
Leveraging Differences in Entropy for Password Generating Models. TransAI (2022)
Fourth International Conference on Transdisciplinary AI, TransAI 2022, Laguna Hills, CA, USA, September 19-21, 2022 TransAI (2022)
Joseph R. Barr, Toby D. Hocking, Garinn Morton, Tyler Thatcher, Peter Shaw
Classifying Imbalanced Data with AUM Loss. TransAI (2022)
Akshata Tiwari
Effectiveness of Deep Learning for Erasing Satellite Streaks in Astronomical Photos. TransAI (2022)
Abdul Matin, Samuel Armstrong, Saptashwa Mitra, Shrideep Pallickara, Sangmi Lee Pallickara
Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks. TransAI (2022)
Yang Liu, Mohd Anwar
Learning Programming in Social Media: An NLP-powered Reddit Study. TransAI (2022)
Yassine Belkhouche
A language processing-free unified spam detection framework using byte histograms and deep learning. TransAI (2022)
Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead
Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis. TransAI (2022)
Hilda Goins, Mohd Anwar
Data-driven Assessment of Dementia Caregivers' Burden: One size does not fit all. TransAI (2022)
Thi Bui, Katerina Potika
Twitter Bot Detection using Social Network Analysis. TransAI (2022)
Dillam Jossue Diaz Romero, Isiah Zaplana, Simon Van den Eynde, Wouter Sterkens, Toon Goedemé, Jef Peeters
Enhanced Plastic Recycling using RGB+Depth Fusion with MassFaster and MassMask R-CNN. TransAI (2022)
Tejaswani Verma, Christoph Lingenfelder, Dietrich Klakow
Generating Natural Language Explanations for Black-Box Predictions. TransAI (2022)
Romi Goldner Kabeli, Sol Efroni
A Language Model identifies population-level features of the T cell Receptor via self-supervised learning. TransAI (2022)
May Almousa, Ruben Furst, Mohd Anwar
Characterizing Coding Style of Phishing Websites Using Machine Learning Techniques. TransAI (2022)
Delaram Golpayegani, Joshua Hovsha, Leon W. S. Rossmaier, Rana Saniei, Jana Misic
Towards a Taxonomy of AI Risks in the Health Domain. TransAI (2022)
Toby Dylan Hocking, Joseph R. Barr, Tyler Thatcher
Interpretable linear models for predicting security vulnerabilities in source code. TransAI (2022)
Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. TransAI (2022)
Paulo Shakarian, Gerardo I. Simari
Extensions to Generalized Annotated Logic and an Equivalent Neural Architecture. TransAI (2022)
Jon C. Haass
Cyber Threat Intelligence and Machine Learning. TransAI (2022)
Sarah Saad, Thomas Palazzolo, Chencheng Zhang, Robert G. Reynolds, Ashley Lemke, John O'Shea, Cailen O'Shea
Learning to Evolve Procedural Content in Games Using Cultural Algorithms. TransAI (2022)
Yue Zhan, Michael S. Hsiao
A Hybrid Approach for Automatic Feedback Generation in Natural Language Programming. TransAI (2022)
Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Toby Dylan Hocking
Graph Embedding: A Methodological Survey. TransAI (2022)
Edward Xu, Thiruvarangan Ramaraj, Roselyne Tchoua, Jacob Furst, Daniela Raicu
Contextualizing Lung Nodule Malignancy Predictions with Easy vs. Hard Image Classification. TransAI (2022)
Minori Endo, Pauline N. Kawamoto
Tuning Small Datasets for a Custom Apple Sorting System based on Deep Learning. TransAI (2022)
Aashish Cheruvu
Multimodal Recommender System in the Prediction of Disease Comorbidity. TransAI (2022)
Lars Quakulinski, Adamantios Koumpis, Oya Deniz Beyan
Establishing Transparency in Artificial Intelligence Systems. TransAI (2022)
Charlotte Lew
Neural Network Modeling of HIV Acute and Chronic Phases With and Without Antiretroviral Intervention. TransAI (2022)

2021