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ORCID9th ISCMI 2022: Toronto, ON, Canada
- 9th International Conference on Soft Computing & Machine Intelligence, ISCMI 2022, Toronto, ON, Canada, November 26-27, 2022. IEEE 2022, ISBN 979-8-3503-2088-6
- Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala:
Using Deep Learning to Detecting Deepfakes. 1-5 - Uwais Suliman, Terence L. van Zyl
, Andrew Paskaramoorthy:
Cryptocurrency Trading Agent Using Deep Reinforcement Learning. 6-10 - Anand Matheven, Burra Venkata Durga Kumar:
Fake News Detection Using Deep Learning and Natural Language Processing. 11-14 - Ndolane Diouf, Massa Ndong, Dialo Diop, Kharouna Talla, Mamadou Sarr, Aboubaker Chedikh Beye:
Channel Quality Prediction in 5G LTE Small Cell Mobile Network Using Deep Learning. 15-20 - Yi-Hsuan Ting, Yi-Ming Chen, Li-Kai Chen:
Enhancing Classification Performance for Android Small Sample Malicious Families Using Hybrid RGB Image Augmentation Method. 21-25 - Alptekin Vardar, Li Zhang, Susu Hu, Saiyam Bherulal Jain, Shaown Mojumder, Nellie Laleni, Ashish Shrivastava, Sourav De, Thomas Kämpfe:
Layer Sensitivity Aware CNN Quantization for Resource Constrained Edge Devices. 26-30 - Kanmani Palaniappan, S. Ushasukhanya, T. Y. J. Naga Malleswari, Prabha Selvaraj, Vijay Kumar Burugari:
Learning Disentangled Representations Using Dormant Variations. 31-35 - Mostafa Bakhshi, Seyedeh Leili Mirtaheri, Sergio Greco:
Heart Disease Prediction Using Hybrid Machine Learning Model Based on Decision Tree and Neural Network. 36-41 - Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Mounika Vanamala, Naeem Seliya:
Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset. 42-46 - Nikolay Manchev, Michael W. Spratling:
On the Biological Plausibility of Orthogonal Initialisation for Solving Gradient Instability in Deep Neural Networks. 47-55 - Jerome Branny, Rolf Dornberger, Thomas Hanne:
Non-fungible Token Price Prediction with Multivariate LSTM Neural Networks. 56-61 - Hiep Thi Hong Nguyen, Harikrishna Warrier, Yogesh Gupta:
A Novel Approach for Federated Learning with Non-IID Data. 62-67 - James Sanii, Wai Yip Chan:
Explainable Machine Learning Models for Pneumonia Mortality Risk Prediction Using MIMIC-III Data. 68-73 - You-Xuan Huang, Nen-Fu Huang, Jian-Wei Tzeng, James Liang, Ching-Wei Su, Yao-Ting Li:
Proficiency Prediction System for Online Learning Based on Recurrent Neural Networks. 74-78 - Thuan Nguyen Dinh, Binh Pham Thanh:
Loan Repayment Prediction Using Logistic Regression Ensemble Learning With Machine Learning Algorithms. 79-85 - Maxine T. Khumalo, Krupa Prag, Kenneth John Nixon:
Evaluating the performance of the Quantum Approximate Optimisation Algorithm to solve the Quadratic Assignment Problem. 86-90 - Méziane Aïder, Imene Dey, Mhand Hifi:
A Population-Based Algorithm for Solving the Fuzzy Capacitated Maximal Covering Location Problem. 91-96 - Ramona Boeh, Thomas Hanne, Rolf Dornberger:
A Comparison of Linear Rank and Tournament for Parent Selection in a Genetic Algorithm Solving a Dynamic Travelling Salesman Problem. 97-102 - V. Sangeetha, Raghunathan Krishankumar, K. S. Ravichandran, Amir H. Gandomi:
A Hybrid Gain-Ant Colony Algorithm for Green Vehicle Routing Problem. 103-108 - Iman Rahimi, Theodore Picard, Andrew Morabito, Kiriakos Pampalis, Aiden Abignano, Amir H. Gandomi:
Comparison of Trajectory and Population-Based Algorithms for Optimizing Constrained Open-Pit Mining Problem. 109-112 - Szilvia Jáhn-Erdös, Bence Kovári:
Exploring the Potential of a Genetic Algorithm on a Real-World Complex Scheduling Problem. 113-117 - Méziane Aïder, Mhand Hifi, Khadidja Latram:
A Cooperative Population-Based Method for Solving the Max-Min Knapsack Problem with Multi-scenarios. 118-123 - Jasper Kyle Catapang:
Optimizing Speed and Accuracy Trade-off in Machine Learning Models via Stochastic Gradient Descent Approximation. 124-128 - Mutiu Adesina Adegboye, Aditya Karnik, Wai-Keung Fung, Radhakrishna Prabhu:
Pipeline Leakage Detection and Characterisation with Adaptive Surrogate Modelling Using Particle Swarm Optimisation. 129-134 - Jing-Fung Lin:
Modeling and Optimization of Two-Chamber Muffler by Genetic Algorithm. 135-139 - Kevin Fan, Mélanie Jouaiti, Kerstin Dautenhahn, Chrystopher L. Nehaniv:
Fuzzy Object Ambiguity Determination and Human Attention Assessment for Domestic Service Robots. 140-145 - Asad Vakil, Erik Blasch, Robert L. Ewing, Jia Li:
MVI-DCGAN Insights into Heterogenous EO and Passive RF Fusion. 146-151 - David Herrera-Sánchez, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa:
Feature Construction, Feature Reduction and Search Space Reduction Using Genetic Programming. 152-156 - Abel S. Zacarias, Luís A. Alexandre:
CILDI: Class Incremental Learning with Distilled Images. 157-161 - K. Moloi, H. Langa:
Towards Determining the Optimal Application of Distributed Generation for Grid Integration. 162-166 - Nimesh Bhana, Terence L. van Zyl:
Knowledge Graph Fusion for Language Model Fine-Tuning. 167-172 - Mélanie Jouaiti, Kerstin Dautenhahn:
Dysfluency Classification in Speech Using a Biological Sound Perception Model. 173-177 - Doaa B. Ebaid, Adel A. El-Zoghabi, Magda M. Madbouly:
Hybrid Joint Embedding with Intra-Modality Loss for Image-Text Matching. 178-182 - Gazmira Brahushi, Uzair Ahmad:
Empirical Evaluation of Word Representation Methods in the Context of Candidate-Job Recommender Systems. 183-187 - Apoorva Gupta, Smriti Arora, Niyati Baliyan:
Online News Extraction and Multiclass Classification Using Linear Support Vector Machines. 188-191 - Cintia Lia Szücs, Bence Kovári:
The Usability of Derived Function Features in Online Signature Verification. 192-197 - Oliver Strauß, Damian Kutzias, Holger Kett:
Agent-Based Document Expansion for Information Retrieval Based on Topic Modeling of Local Information. 198-202 - Jasper Kyle Catapang:
Hadamard Estimated Attention Transformer (HEAT): Fast Approximation of Dot Product Self-attention for Transformers Using Low-Rank Projection of Hadamard Product. 203-206 - Lobna H. Kamal, Gerard T. McKee, Nermin Abdelhakim Othman:
Naïve Bayes with Negation Handling for Sentiment Analysis of Twitter Data. 207-212 - Ravi Kansagara, ANK Zaman:
VPass: An Open-Source COVID-19 Vaccine Passport, and Vaccine Hesitancy. 213-216 - Bhagawat Adhikari, Raj Kumar Ranabhat, Mohammad Mizanur Rahman, Rasha Kashef:
Enhanced RecycleNet for Efficient Waste Classification. 217-222 - Anjli Varghese, Malathy Jawahar, A. Amalin Prince, Amir H. Gandomi:
Texture Analysis on Digital Microscopic Leather Images For Species Identification. 223-227 - Yangjun Chen, Bobin Chen:
Priority-First Search and Mining Popular Packages. 228-234 - Rohit Salgotra, Seyedali Mirjalili, Amir H. Gandomi:
Enhancing Differential Evolution Algorithm: Adaptation for CEC 2017 and CEC 2021 Test Suites. 235-240 - Ruiqi Tian, Luisa H. B. Liboni, Miriam A. M. Capretz:
Anomaly Detection with Convolutional Autoencoder for Predictive Maintenance. 241-245 - Raha Soleymanzadeh, Rasha F. Kashef:
The Analysis of the Generator Architectures and Loss Functions in Improving the Stability of GANs Training towards Efficient Intrusion Detection. 246-252 - Salman Ahmed, Muskaan Singh, Brendan Doherty, Effirul I. Ramlan, Kathryn Harkin, Damien Coyle:
AI for Information Tecchnology Operation (AIOps): A Review of IT Incident Risk Prediction. 253-257 - Geetika Tiwari, Ruchi Jain:
A Novel Framework for Secure Cloud Computing Based IDS Using Machine Learning Techniques. 258-263 - L. Jani Anbarasi, Malathy Jawahar, Bipasa Mukherjee, Modigari Narendra, Masoumeh Rahimi, Amir H. Gandomi:
Brazilian Air Traffic Network Analysis Using Social Network Metrics. 264-269 - Salman Ahmed, Muskaan Singh, Brendan Doherty, Effirul I. Ramlan, Kathryn Harkin, Damien Coyle:
Multiple Severity-Level Classifications for IT Incident Risk Prediction. 270-274
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