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International Conference on Machine Learning and Applications

ICMLA

C

CORE rank

CORE rank (raw)

C

Fields of research

Machine Learning

Papers indexed

4,222

2002–2025

Papers per year

2002331 peak2025

ICMLA papers

4,222 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2023Facial Expression Recognition Using Robust Attention-Based CNN.Uma Chinta, Adham Atyabi
2023Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats.Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu
2023Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification.Rishabh Chandaliya, Mohan Timilsina, John G. Breslin, Martin Serrano
2023Machine Learning-based California Wildfire Risk Prediction and Visualization.David J. Castrejon, Connor Wang, Denys Osmak, Bhumil Kukadiya, Li Liu, Mario Giraldo, Xunfei Jiang
2023An Extended Study of the Applications of Using Gesture Control to Pilot UAVs.William Carpenter, Patrick Omodara, Radu F. Babiceanu, Laxima Niure Kandel
2023Active Learning for Improvement of Classification of Cyberthreat Actors in Text Fragments.Amanda Carp, Joel Brynielsson, Agnes Tegen
2023A Lightweight Deep Recurrent Q-Learning Technique for Autonomous Wildfire Surveillance.Jeremy Cantor, O. Patrick Kreidl, John Nuszkowski, Alan Harris, Ayan Dutta
2023Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding.Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger
2023Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice.Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek
2023Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification.Avishek Bose, William H. Hsu
2023Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning.Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu
2023Benefits of Using Multiple Post-Hoc Explanations for Machine Learning.Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort
2023Modeling Student Improvement in Tests with Multiple Attempts.Alexandra Boicu
2023MoEAtt: A Deep Mixture of Experts Model using Attention-based Routing Gate.Gal Blecher, Shai Fine
2023Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation.Matthias Bittner, Daniel Hauer, Christian Stippel, Katharina Scheucher, Robin Sudhoff, Axel Jantsch
2023Corn Yield Prediction using Spatial-Temporal Data and Deep Learning.Bhavesh Singh Bisht, Iluju Kiringa, Tet Hin Yeap
2023Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment.Manish Bhurtel, Yuba Raj Siwakoti, Danda B. Rawat, Brian M. Sadler, John M. Fossaceca, Daniel O. Rice
2023Breast Cancer Segmentation on Ultrasound Images using U-Net and Grad-CAM.Sadiq Uddin Bhuiyan, Mohammad Rakibul Hasan Mahin, Mir Jadir Siddique, Nahin Hossain, Shammo Faiyaz Ahmed, Mobashra Abeer, Annajiat Alim Rasel
2023Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection.Irfan Raiab Bhat, M. Arif Wani
2023Robust Adversarial Defense by Tensor Factorization.Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron, Ben Nebgen, Kim . Rasmussen, Boian S. Alexandrov
2023Early Churn Prediction from Large Scale User-Product Interaction Time Series.Shamik Bhattacharjee, Utkarsh Thukral, Nilesh Patil
2023PIPENet: A Semantic Segmentation Approach to Pipeline Component Detection from Magnetic Flux Leakage Readings.Amir Behbahanian, Ron Lundstrom, Adrian Belanger, Paul Dalfonso, Robert Coleman
2023Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics.Maria Barger, Randy C. Paffenroth, Harsh Nilesh Pathak
2023Overwater Emitter Localization with a Single Receiver using Neural Network Modeling.Maria Barger, Patrick Bidigare, D. Richard Brown, Ilana Heintz, Randy C. Paffenroth, Evan C. Witz
2023Impact of Stress on Sleep Levels: A Comparative Machine Learning Study Based on Wearable Data.Ronak Barati, Linda Duffett-Leger, Mahtab Moshirpour, Mohammad Moshirpour
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