ICMLA

Publications

2023

Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. ICMLA (2023)
Rosina F. Kharal
Towards Augmentation Based Defense Strategies Against Adversarial Attacks. ICMLA (2023)
Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin
An Innovative Solar Flare Metadata Collection for Space Weather Analytics. ICMLA (2023)
Qianli Hu, Jiangning Chen, Haoyan Zhai, Wei Luo, Juntao Duan
Gaussian Process with Correlation Factor for Text Classification Problem. ICMLA (2023)
Anna Koufakou, Diego Grisales, Ragy Costa de Jesus, Oscar Fox
Data Augmentation for Emotion Detection in Small Imbalanced Text Data. ICMLA (2023)
Shengzhe Jiao, Yihong Zhang, Takahiro Hara
Multi-Modal Relational Side Information Graph Attention Networks for Recommender System. ICMLA (2023)
Gyeongeun Lee, Xunfei Jiang, Natalie Parde
A Content-based Skincare Product Recommendation System. ICMLA (2023)
Ali Pesaranghader, Nikhil Verma, Manasa Bharadwaj
GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification. ICMLA (2023)
Namarta Vij, Aznam Yacoub, Ziad Kobti
XLNet4Rec: Recommendations Based on Users' Long-Term and Short-Term Interests Using Transformer. ICMLA (2023)
Daniel Silva, Georgios Agrotis, Regina Beets-Tan, Luís F. Teixeira, Wilson Silva
Attention-Based Regularisation for Improved Generalisability in Medical Multi-Centre Data. ICMLA (2023)
Maria Barger, Randy C. Paffenroth, Harsh Nilesh Pathak
Conditioned Cycles in Sparse Data Domains: Applications to Electromagnetics. ICMLA (2023)
Davide Porello, Ugo A. Buy, Kyle W. Boerke, M. Pieta Keller
Early Detection of Mental and Behavioral Health Issues from High-School Academic Performance. ICMLA (2023)
Anwar Said, Mudassir Shabbir, Tyler Derr, Waseem Abbas, Xenofon D. Koutsoukos
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation. ICMLA (2023)
Wonjun Lee, Yung Ryn Choe, Raiat Subhra Ghosh
Recurrent Neural Network and Convolutional Neural Network for Detection of Denial of Service Attack in Microservices. ICMLA (2023)
Carol M. Kiekhaefer, Farhad Pourkamali-Anaraki
Advancing Precision Medicine: An Evaluative Study of Feature Selection Methods. ICMLA (2023)
William Carpenter, Patrick Omodara, Radu F. Babiceanu, Laxima Niure Kandel
An Extended Study of the Applications of Using Gesture Control to Pilot UAVs. ICMLA (2023)
Dan Halbersberg, Roni Yasinnik, Matan Halevi, Moshe Salhov
Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. ICMLA (2023)
Prajwol Lamichhane, Indika Kahanda
Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset. ICMLA (2023)
Bhavesh Singh Bisht, Iluju Kiringa, Tet Yeap
Corn Yield Prediction using Spatial-Temporal Data and Deep Learning. ICMLA (2023)
Nazmul Kazi, Indika Kahanda
Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. ICMLA (2023)
Chukwuka Victor Obionwu, Taruna Tiwari, Bhavya Baburaj Chovatta Valappil, Nishanth Raikar, Damanpreet Singh Walia, S. M. Laique Abbas, Chukwuemeka E. Okafor, David Broneske, Gunter Saake
A Domain Specific Students' Assistance System For The Provision Of Instructional Feedback. ICMLA (2023)
Muhammed Adil Yatkin, Mihkel Kõrgesaar
Fracture Estimation Based on Deformation History with Recurrent Neural Networks. ICMLA (2023)
Mohamed Elamine Khoudour, Ismaïl Biskri
. ICMLA (2023)
Abu Kaisar Mohammad Masum, Anshul Maurya, Dhruthi Sridhar Murthy, Pratibha, Naveed Mahmud
Hybrid Quantum-Classical Machine Learning for Sentiment Analysis. ICMLA (2023)
Manish Bhurtel, Yuba Raj Siwakoti, Danda B. Rawat, Brian M. Sadler, John M. Fossaceca, Daniel O. Rice
Toward Scene Understanding with Depth and Object-Aware Clustering in Contested Environment. ICMLA (2023)
Sasha Strelnikoff, Jiejun Xu, Alireza Esna Ashari
Towards the Semantic Interpretation of Arbitrary Traffic Signs: Semantic Parsing for Action-oriented Signs. ICMLA (2023)
Iliya Kulbaka, Ayan Dutta, Ladislau Bölöni, O. Patrick Kreidl, Swapnoneel Roy
CNN-LSTM-Based Deep Recurrent Q-Learning for Robotic Gas Source Localization. ICMLA (2023)
Amr S. Mohamed, Sumin Lee, Deepa Kundur
Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control. ICMLA (2023)
David L. Pereira Gomes, André Grégio, Marco Antonio Zanata Alves, Paulo R. Lisboa de Almeida
Efficient Prequential AUC-PR Computation. ICMLA (2023)
Tobias Deußer, Cong Zhao, Wolfgang Krämer, David Leonhard, Christian Bauckhage, Rafet Sifa
Controlled Randomness Improves the Performance of Transformer Models. ICMLA (2023)
Aakash Varma Nadimpalli, Ajita Rattani
Facial Forgery-Based Deepfake Detection Using Fine-Grained Features. ICMLA (2023)
Sen Jia, Homa Fashandi
Revisiting Knowledge Graph Embedding: An Alternative Solution to Biased Visual Scene Graphs. ICMLA (2023)
Mohamed Ndiaye, Mamadou Mboup
Empirical Mode Decomposition with Envelope Extraction and LSTM for univariate time series forecasting. ICMLA (2023)
Joseph Accurso, Raul Mendy, Aira Torres, Yufei Tang
A ChatGPT-like Solution for Power Transformer Condition Monitoring. ICMLA (2023)
Marcos Pastorini, Angela Gorgoglione, Rafael Rodríguez, Lorena Etcheverry, Alberto Castro
Evaluating the Performance of Classification Algorithms for Land-Cover Classification. ICMLA (2023)
Srinath Sai Tripuraneni, Sadia Kamal, Arunkumar Bagavathi
Quantitative Analysis of Forecasting Models: In the Aspect of Online Political Bias. ICMLA (2023)
Irfan Raiab Bhat, M. Arif Wani
Modified Grouped Convolution-Based EfficientNet Deep Learning Architecture for Apple Disease Detection. ICMLA (2023)
Jeovane Honório Alves, Horácio A. C. G. Pedroso, Rafael Honorio Venetikides, Joel E. M. Köster, Luiz Rodrigo Grochocki, Cinthia O. A. Freitas, Jean Paul Barddal
Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis. ICMLA (2023)
Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang
Multitask Learning for Time Series Data with 2D Convolution. ICMLA (2023)
Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova
ALLFA: Active Learning Through Label and Feature Augmentation. ICMLA (2023)
Ruth Obe, Brandt Kaufmann, Kaelen Baird, Sam Kadel, Yasmin Soltani, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Stephen W. Peterson, Jerimy C. Polf
Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch. ICMLA (2023)
Stephan Matzke, Christian Pionzewski, Jérôme Rutinowski, Firdes Çelik, Markus König
Re-identification Robustness Over Time - The Case for Synthetic Training Data. ICMLA (2023)
Júlio César Mendes de Resende, Edimilson Batista dos Santos, Marcos Antonio de Matos Laia
Combining Improvements in FQF Distributional Reinforcement Learning Algorithm. ICMLA (2023)
Hamza Aytaç Doganay, Halil-Ibrahim Bülbül
Detection Success Assessment of Machine Learning Algorithms Through Manifest File Permissions Demanded by Malicious Android Wares. ICMLA (2023)
Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Jinoh Kim
An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection. ICMLA (2023)
Yiming Jia, Mehrdad Sasani
Symbolic-Based Recurrent Neural Networks for Metamodeling of Nonlinear Structural Models. ICMLA (2023)
Amir Behbahanian, Ron Lundstrom, Adrian Belanger, Paul Dalfonso, Robert Coleman
PIPENet: A Semantic Segmentation Approach to Pipeline Component Detection from Magnetic Flux Leakage Readings. ICMLA (2023)
Sneha Paul, Zachary Patterson, Nizar Bouguila
Semantic Segmentation Using Transfer Learning on Fisheye Images. ICMLA (2023)
Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa
Learning Discriminative Feature Representations via Metric Learning for Early Operation of Wind Turbine Anomaly Detection Systems. ICMLA (2023)
Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong
On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. ICMLA (2023)