ICMLA

Keyphrases

Publications

2022

Sarwat Ali, M. Arif Wani
Recent Trends in Neural Architecture Search Systems. ICMLA (2022)
Luca Pasqualini, Maurizio Parton, Francesco Morandin, Gianluca Amato, Rosa Gini, Carlo Metta, Marco Fantozzi, Alessandro Marchetti
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? ICMLA (2022)
Meinolf Sellmann, Tapan Shah
Cost-sensitive Hierarchical Clustering for Dynamic Classifier Selection. ICMLA (2022)
Chinmay Ajit Kulkarni, Mohith Rajesh, Shylaja S. Sharath
Dynamic Binary Cross Entropy: An effective and quick method for model convergence. ICMLA (2022)
Tao Sun, Nidal Abuhajar, Shuyu Gong, Zhewei Wang, Charles D. Smith, Xianhui Wang, Li Xu, Jundong Liu
Individualized Conditioning and Negative Distances for Speaker Separation. ICMLA (2022)
Teja Kanchinadam, Shaheen Gauher
Predicting Clinical Events via Graph Neural Networks. ICMLA (2022)
Md. Riyadh, M. Omair Shafiq
Towards Emotion Cause Generation in Natural Language Processing using Deep Learning. ICMLA (2022)
Binhua Liao, Yani Chen, Zhewei Wang, Charles D. Smith, Jundong Liu
Comparative Study on 1.5T - 3T MRI Conversion through Deep Neural Network Models. ICMLA (2022)
Alexander Hartl, Joachim Fabini, Tanja Zseby
Separating Flows in Encrypted Tunnel Traffic. ICMLA (2022)
Adam Lehavi, Seongtae Kim
Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems. ICMLA (2022)
Florian Meißl, Florian Eibensteiner, Phillip Petz, Josef Langer
Online Handwriting Recognition using LSTM on Microcontroller and IMU Sensors. ICMLA (2022)
Chenwei Sun, Martin Trat, Janek Bender, Jivka Ovtcharova, George Jeppesen, Jan Bär
Unsupervised Anomaly Detection and Root Cause Analysis for an Industrial Press Machine based on Skip-Connected Autoencoder. ICMLA (2022)
Ebuka Okpala, Long Cheng, Nicodemus Mbwambo, Feng Luo
AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning. ICMLA (2022)
Nan Ding, Hélène Urien, Florence Rossant, Jérémie Sublime, Michel Pâques
Context-aware Attention U-Net for the segmentation of pores in Lamina Cribrosa using partial points annotation. ICMLA (2022)
Mohan Kashyap Pargi, Elham Bagheri, Ricardo Shirota F, Khoo Eng Huat, Farshad Shishehchian, Nathalie Nathalie
Improving Aquaculture Systems using AI: Employing predictive models for Biomass Estimation on Sonar Images. ICMLA (2022)
Daniel Bruneß, Matthias Bay, Christian Schulze, Michael Guckert, Mirjam Minor
An Ontology-based transfer learning method improving classification of medical documents. ICMLA (2022)
Kaihua Liu, Xudong Liu
Recycling Material Classification using Convolutional Neural Networks. ICMLA (2022)
Hidetoshi Kawaguchi, Yuichi Nakatani, Shogo Okada
IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge. ICMLA (2022)
Eric W. Vertina, N. Aaron Deskins, Emily Sutherland, Oren Mangoubi
Predicting MXene Properties via Machine Learning. ICMLA (2022)
Ali Zafari, Atefeh Khoshkhahtinat, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Daniel Da Silva, Michael S. F. Kirk
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory. ICMLA (2022)
Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. ICMLA (2022)
Lin Zhou, Eric Fischer, Clemens Markus Brahms, Urs Granacher, Bert Arnrich
Using Transparent Neural Networks and Wearable Inertial Sensors to Generate Physiologically-Relevant Insights for Gait. ICMLA (2022)
Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid
Knowledge-based Deep Learning for Modeling Chaotic Systems. ICMLA (2022)
Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. ICMLA (2022)
Atharva Tendle, Andrew Little, Stephen Scott, Mohammad Rashedul Hasan
Self-Supervised Learning in the Twilight of Noisy Real-World Datasets. ICMLA (2022)
Shirin Tahmasebi, Amir Hossein Payberah, Ahmet Soylu, Dumitru Roman, Mihhail Matskin
TranSQL: A Transformer-based Model for Classifying SQL Queries. ICMLA (2022)
Neelanjan Bhowmik, Toby P. Breckon
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery. ICMLA (2022)
Tiago Rodrigues de Almeida, Eduardo Gutiérrez-Maestro, Óscar Martínez Mozos
Context-free Self-Conditioned GAN for Trajectory Forecasting. ICMLA (2022)
Abedalrhman Alkhateeb, Bashier ElKarami, Hazem Qattous, Abdullah Al-Refai, Noor AlAfeshat, Behnam Shahrrava, Mohammad Azzeh
Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network. ICMLA (2022)
AmirHossein Zamani, Amir G. Aghdam, Kamran Ghaffari
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision. ICMLA (2022)
Hao Niu, Huy Quang Ung, Shinya Wada
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors. ICMLA (2022)
Fadil Santosa, Loren Anderson
Bayesian Sequential Optimal Experimental Design for Linear Regression with Reinforcement Learning. ICMLA (2022)
Ameen Abdel Hai, Taif Mohamed, Martin Pavlovski, Mladen Kezunovic, Zoran Obradovic
Transfer Learning on Phasor Measurement Data from a Power System to Detect Events in Another System. ICMLA (2022)
Jiztom Kavalakkatt Francis, Chandan Kumar, Jansel Herrera-Gerena, Kundan Kumar, Matthew J. Darr
Deep Learning and Pattern-based Methodology for Multivariable Sensor Data Regression. ICMLA (2022)
Hanna E. Witzgall
Extending Rapid Class Augmentation to a YOLOv3 Object Detection Architecture. ICMLA (2022)
Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman
Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. ICMLA (2022)
D. J. McMoran, Alejandra Maria O'Malley, Aysun Karamustafaoglu, Daniel M. Fisher, Gulustan Dogan
Using Artificial Intelligence to Predict Patient Electronic Health Record Access Points. ICMLA (2022)
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Fast Counterfactual Explanation for Solar Flare Prediction. ICMLA (2022)
Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. ICMLA (2022)
Hideyuki Masui, Diego Romeres, Daniel Nikovski
Transfer Learning for Bayesian Optimization with Principal Component Analysis. ICMLA (2022)
Muluken Regas Eressa, Hakim Badis, Dorian Grosso
Distribution Based Upper Lower Bound Estimation In Deep Neural Nets. ICMLA (2022)
Yuki Miyashita, Toshiharu Sugawara
Flexible Exploration Strategies in Multi-Agent Reinforcement Learning for Instability by Mutual Learning. ICMLA (2022)
Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic
Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? ICMLA (2022)
Himanshu S. Sahoo, Nicholas Ingraham, Greg M. Silverman, John Sartori
Towards Fairness and Interpretability: Clinical Decision Support for Acute Coronary Syndrome. ICMLA (2022)
Akash Kumar Panda, Bart Kosko
Bayesian Rule Ontologies For XAI Classification and Regression. ICMLA (2022)
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille
Utilizing Explainable AI for improving the Performance of Neural Networks. ICMLA (2022)
Yang Yang, Mizuka Komatsu, Takenao Ohkawa, Kenji Oyama
Real-Time Cattle Interaction Recognition via Triple-stream Network. ICMLA (2022)
Dana Oshri Zalman, Shai Fine
Variational Inference via Rényi Upper-Lower Bound Optimization. ICMLA (2022)
Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David Marchette, Cagri Ozdemir
Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. ICMLA (2022)
Saul Fuster, Trygve Eftestøl, Kjersti Engan
Nested Multiple Instance Learning with Attention Mechanisms. ICMLA (2022)