| 2024 | Swef-UNet: Toward an Efficient Pure Transformer-Based Medical Image Segmentation. | Maryam Tavakol Elahi, WonSook Lee, Philippe Phan |
| 2024 | Variational Information Bottleneck with Gaussian Processes for Time-Series Classification. | Itamar Efrati, Shai Fine |
| 2024 | Multi-Modal AI Approach for Multi-Class Skin Disease Classification. | Michela Effendie, Vanessa Aguiar-Pulido |
| 2024 | Harnessing Machine Learning and Stock Market Techniques for Signal Detection in Underwater Sensing Technologies. | Ashkan Ebadi, Alain Auger, Yvan Gauthier |
| 2024 | iPEERS: A Multi-Layered Expert Recommender System for Enhanced Customer Support. | Ashkan Ebadi |
| 2024 | iTRACE: In-Depth Trends and Root Cause Analysis of Canadian Public Service Employee Survey. | Ashkan Ebadi |
| 2024 | Oracle Embeddings for Chemical Detection. | Cate Dunham, Maria Barger, Randy C. Paffenroth, Joshua R. Uzarski, Chia-Wei Tsai |
| 2024 | Hypergraph Contrastive Learning with Graph Structure Learning for Recommendation. | Yuma Dose, Shuichiro Haruta, Yihong Zhang, Takahiro Hara |
| 2024 | Implementation of Off-Road Panoptic-Segmentation Under Dynamic Lighting Conditions. | Pankaj Deoli, Koushik Samudrala, Karsten Berns |
| 2024 | Enhancing Tabular GAN Fairness: The Impact of Intersectional Feature Selection. | Tahereh Dehdarirad, Ericka Johnson, Gabriel Eilertsen, Saghi Hajisharif |
| 2024 | Hidden Pieces: An Analysis of Linear Probes for GPT Representation Edits. | Austin L. Davis, Gita Sukthankar |
| 2024 | Adaptation of Transformer Model for Numeric Case. | Mihhail Daniljuk, Sander Rikka, Sven Nmm |
| 2024 | 3D Vehicle Detection in Roadside Traffic Flow Using Complex-YOLO. | Jonathan Cordova, Xunfei Jiang, Xudong Jia, Bingbing Li |
| 2024 | An Evaluation and Comparison of Machine Learning Methods for Prediction of Lubricant Film Thickness. | Caleb Combs, Edgar Avalos-Gauna, C. Fred Higgs |
| 2024 | Deep Fake Video Classification with Sequential Input Frames Using Hybrid Deep Learning Model and Bayesian Optimization. | Swetha Chittam, David Johnson, Kaushik Roy, Xiaohong Yuan |
| 2024 | Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation. | Ying Chen, Ziwei Xu, Kotaro Inoue, Ryutaro Ichise |
| 2024 | Enhancing Allergy Prediction Accuracy Through Machine Learning and ProteinBERT. | Agastya Chennamsetty, Atul Dubey |
| 2024 | Approximate Bisimulation Relation Restoration for Neural Networks Based On Knowledge Distillation. | Jie Chen, Zihao Mo, Tao Wang, Weiming Xiang |
| 2024 | Systematical Randomness Assignment for the Level of Manipulation in Text Augmentation. | Youhoo Cha, Younghoon Lee |
| 2024 | Centralized Multi-Agent Proximal Policy Optimization with Attention. | Hugo Cazaux, Ralph Rudd, Hlynur Stefansson, Sverrir lafsson, Eyjlfur Ingi sgeirsson |
| 2024 | Novel L1-Based Neural Gas Clustering Algorithms. | Nicomedes L. Cavalcanti, Francisco de A. T. de Carvalho |
| 2024 | Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting. | Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Karissa Schipke |
| 2024 | Impact of Transfer Learning on Transformers Networks for Prostate Image Segmentation. | Xavier Casanova, Maria Baldeon Calisto |
| 2024 | Turn Down the Noise: Perceptually Constrained Attacks for Multi-Label Audio Classification. | Erick Capulong, Marko Orescanin, Pedro Ortiz, Patrick McClure |
| 2024 | Spectral Recovery Via Spectral-Aware Perceptual Loss. | Ignacio Loayza Campos, Ricardo anculef Alegra, Roxana Trujillo-Guiez |