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ORCIDTransAI 2023: Laguna Hills, CA, USA
- 2023 Fifth International Conference on Transdisciplinary AI (TransAI), Laguna Hills, CA, USA, September 25-27, 2023. IEEE 2023, ISBN 979-8-3503-5801-8
- Message from the Program Chairs TransAI 2023. xiii-xiv
- Message from the General Chairs TransAI 2023. xi-xii
- Shayan Jalalipour, Sriharshitha Ayyalasomayjula, Hashem Damrah, Junfan Lin, Banafsheh Rekabdar, Ruopu Li:
Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods. 1-10 - Joao Pedro Silva
, Jose F. Rodrigues:
Satellite Imagery Predicts Socioeconomic Indicators: Experiments in Brazil. 11-18 - Shan Suthaharan:
Harnessing the Feature Vectors of VGG-16 for Birds Detection under Geometric Distortions and Brightness. 19-26 - Nicholas Clayton, Taehyung Wang:
Controlling a Prosthetic Limb via Interpreting Arbitrary Signals using a Deep Learning Technique. 27-33 - Anika Chebrolu:
DeepLig: A De-Novo Computational Drug Design Approach to Generate Multi-Targeted Drugs. 34-41 - Kate Karam, Kelly MacCabe, Roselyne Tchoua:
Leveraging Community Health Workers and Social Determinants of Health for Predicting Emergency Department Readmissions. 42-49 - Shayan Jalalinour, Banafsheh Rekabdar:
Noisy-Defense Variational Auto-Encoder (ND-VAE): An Adversarial Defense Framework to Eliminate Adversarial Attacks. 50-57 - Souraja Kundu, Yuji Iwahori, Manas Kamal Bhuyan, Manish Bhatt, Akira Ouchi, Yasuhiro Shimizu:
Improved Residual Vision Transformer for CT to MRI Translation. 58-65 - Aashish Cheruvu:
Application of Neural-Controlled Differential Equations in Disease Progression Modeling Using Irregularly Sampled Multimodal Data. 66-70 - Maria Alexandra Theodorescu, Jacob D. Furst, Daniela Stan Raicu, Roselyne Tchoua:
Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery. 71-78 - Bernard Aldrich, Yang Liu, May Almousa, Mohd Anwar:
Translating Keystroke and Mouse Dynamics Data to Classify Human Mood. 79-86 - Thi Bui, Katerina Potika:
Detecting Twitter Bots with Machine Learning and Propagation Graph Analysis. 87-90 - Joseph R. Barr, Jon C. Haass, Neil Proctor:
On Cyber Protection with AI. 91-94 - Hanin Alshalan, Banafsheh Rekabdar:
Attacking a Transformer-Based Models for Arabic Language as Low Resources Language (LRL) Using Word-Substitution Methods. 95-101 - Aditi, Michael S. Hsiao:
Validatable Generation of System Verilog Assertions from Natural Language Specifications. 102-109 - Marcelo Augusto Ferrari Faccioni, Marcelo da Silva Lisboa, Marcelo Lisboa Rocha, David Nadler Prata, Gentil Veloso Barbosa:
Applying Computational Intelligence to Improve Judiciary Efficiency. 110-113 - Abhishek Vaid, William B. Andreopoulos:
Real-Time Attention-Based Conversational Agent. 114-117 - Anastasia-Maria Leventi-Peetz, Frederic Raber, Annika Rüll, Kai Weber:
Biotechnology Machine Learning Techniques for Natural Language Processing. 118-119 - Saba Izadkhah, Banafsheh Rekabdar:
Deep Reinforcement Learning Based Group Recommendation System with Multi-Head Attention Mechanism. 120-127 - Sriharshitha Ayyalasomayajula, Banafsheh Rekabdar, Christos Mousas:
Deep Hierarchical Variational Autoencoders for World Models in Reinforcement Learning. 128-134 - Amisha Priyadarshini, Barbara Martinez Neda, Sergio Gago Masagué:
Admission Prediction in Undergraduate Applications: an Interpretable Deep Learning Approach. 135-140 - Tyler Thomas Procko, Omar Ochoa, Timothy Elvira:
Automatic Generation of BFO-Compliant Aristotelian Definitions in OWL Ontologies with GPT. 141-146 - Tyler Thomas Procko, Timothy Elvira, Omar Ochoa:
GPT-4: A Stochastic Parrot or Ontological Craftsman? Discovering Implicit Knowledge Structures in Large Language Models. 147-154 - Jay F. Lofstead:
Economic, Societal, Legal, and Ethical Considerations for Large Language Models. 155-162 - Eryn Rigley, Joshua Krook, Caitlin M. Bentley:
Leading Transdisciplinary Conversations around AI: Using Future Visioning to Unpack Skills in AI Ecosystems. 163-170 - Richard Quiloan, Sanaz Rahimi Moosavi, Roman Tankelevich, Mike Karlin:
PlayGrid: Sparking AI Literacy with an Intuitive and Accessible Learning Interface. 171-178 - Joseph R. Barr, Jon C. Haass:
Machine learning: a personal tour. 179-186 - Joseph R. Barr, Marcus Sobel, Yu Lu, Benedictor A. Nguchu, Peter Shaw:
On the Variability of Statistical Models. 187-196 - Joseph R. Barr, Faisal N. Abu-Khzam, Peter Shaw:
Feature Selection via Independent Domination. 197-200 - Jadey Chen:
Neural Network Solver for Transient State Incompressible Flow on Arbitrarily-Shaped Geometries Defined using Bezier Curves. 201-207 - Ziyang Bryan Zhong:
A Dynamic Framework: Advancing Machine Learning in Commodity Import Decision-Making. 208-211 - Kanishk Navale, Ralf Gulde, Marc Tuscher, Oliver Riedel:
Training Dense Object Nets: A Novel Approach. 212-217 - Ralf Gulde, Khanh Nguyen, Marc Tuscher, Oliver Riedel, Alexander Verl:
Feature-Space Reinforcement Learning for Robotic Manipulation. 218-223 - Xingyu Fu, Nan Li, Xingyu Li, Ragu Athinarayanan:
Preliminary Results of Lightweight Reinforcement Learning Using FEMC for Human-Robot Collaboration. 224-227 - Juliette Mattioli, X. Le Roux, Bertrand Braunschweig, Loic Cantat, Fabien Tschirhart, B. Robert, Rodolphe Gelin, Y. Nicolas:
AI Engineering to Deploy Reliable AI in Industry. 228-231 - Thomas Schaberreiter, Christian Wieser, Adamantios Koumpis, Christian Luidold, Jerry Andriessen, Cinzia Cappiello, Juha Röning:
Addressing Critical Issues and Challenges for Dynamic Cybersecurity Management in Organisations and Local/Regional Networks: The CS-AWARE-NEXT Project. 232-236 - Siavash Farazmand, Raghav Narula, Zachary Patterson, Nizar Bouguila:
A Variational Graph Convolution Network with Normalizing Flows for Passenger Flow Prediction. 237-242 - Davide Cacciarelli, John Sølve Tyssedal, Murat Kulahci:
Stream-Based Active Learning for Regression with Dynamic Feature Selection. 243-248 - Raphael Wallsberger, Ricardo Knauer, Stephan Matzka:
Explainable Artificial Intelligence in Mechanical Engineering: A Synthetic Dataset for Comprehensive Failure Mode Analysis. 249-252 - Mouzhi Ge, Giovanni Pilato, Fabio Persia, Daniela D'Auria:
Recommender System for Social Media: Research Challenges and Future Applications. 253-257 - Masayuki Yamazaki, Kei Tsuji, Eigo Mori:
Preventive Safety for Unmanned Door Operation Using Integrated Passenger Body Parts Tracking and Rush Prediction. 258-261 - Vincent On, Atena Zahedi, Rattapol Phandthong:
Applications of Superpixels on Phase Contrast Microscopy. 262-265 - Yeana L. Bond, Spencer Ledwell, Esmeralda Osornio, Alberto C. Cruz:
Efficient Scene Reconstruction for Unmanned Aerial Vehicles. 266-269 - Viviana Crescitelli, Takashi Oshima:
A Deep Reinforcement Learning Method for 2D Irregular Packing with Dense Reward. 270-271
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