- Krzysztof Kutt, Lukasz Sciga, Grzegorz J. Nalepa:
Emotion-based Dynamic Difficulty Adjustment in Video Games. DSAA 2023: 1-5 - Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano:
Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. DSAA 2023: 1-8 - Jiaxi Li, Guansong Pang
, Ling Chen, Mohammad-Reza Namazi-Rad:
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. DSAA 2023: 1-10 - Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA 2023: 1-2 - Wei Liang, Derui Ding, Hui Yu
:
PAF-Tracker: A Novel Pre-Frame Auxiliary and Fusion Visual Tracker. DSAA 2023: 1-2 - Yang Lin:
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting. DSAA 2023: 1-10 - Yaoze Liu, Junwei Du, Haojie Li, Guanfeng Liu:
Graph Disentangled Collaborative Filtering based on Multi-order Similarity Constraint. DSAA 2023: 1-10 - Yun Luo, Liangfu Lu, Xudong Cui, Yan Du, Yingying Bi, Limin Zhu, Christy Jie Liang:
Novel few-shot learning based fuzzy feature detection algorithms. DSAA 2023: 1-9 - Jiaxing Jason Mai, Carson K. Leung, Connor C. J. Hryhoruk, Adam G. M. Pazdor:
Enhanced Mining of High Utility Patterns from Streams of Dynamic Profit. DSAA 2023: 1-10 - Bozena Malysiak-Mrozek, Mario Bas, Vaidy S. Sunderam, Stanislaw Kozielski, Dariusz Mrozek:
Predicting Conflict Zones on Terrestrial Routes of Automated Guided Vehicles with Fuzzy Querying on Apache Kafka. DSAA 2023: 1-8 - Isaac Manring, James H. Hill, George O. Mohler, P. Jeffrey Brantingham, Thomas Williams, Bruce White:
Low-Cost Gunshot Detection System with Localization for Community Based Violence Interruption. DSAA 2023: 1-7 - João Victor Galvão da Mata
, Martin S. Andersen:
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. DSAA 2023: 1-7 - João Victor Galvão da Mata
, Martin S. Andersen:
Link Prediction on Graphs Using NLP Embedding. DSAA 2023: 1-3 - Mahammad Shareef Mekala, Eyad Elyan, Gautam Srivastava:
Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems. DSAA 2023: 1-8 - Xiangfu Meng, Hongjin Huo, Xiaoyan Zhang, Wanchun Wang:
Lightweight Graph Convolutional Collaborative Filtering Recommendation Approach Incorporating Social Relationships. DSAA 2023: 1-9 - Lukas Miklautz, Andrii Shkabrii, Collin Leiber
, Bendeguz Tobias, Benedict Seidl, Elisabeth Weissensteiner, Andreas Rausch, Christian Böhm, Claudia Plant:
Non-Redundant Image Clustering of Early Medieval Glass Beads. DSAA 2023: 1-12 - André Mourão, Daniel Gomes:
Searching images in a web archive. DSAA 2023: 1-10 - Peter D. Nagy, Heidar Davoudi:
Towards Deep Learning Models for Automatic Computer Program Grading. DSAA 2023: 1-10 - Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue:
Interpretable time series neural representation for classification purposes. DSAA 2023: 1-10 - Carina Newen, Emmanuel Müller:
On the Independence of Adversarial Transferability to Topological Changes in the Dataset. DSAA 2023: 1-8 - Giang Ngo, Nhi N. Y. Vo:
Enhancing recommendation systems with hybrid manifold regularized knowledge graph. DSAA 2023: 1-8 - Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nghia Hieu Nguyen:
MAT: Effective Link Prediction via Mutual Attention Transformer. DSAA 2023: 1-4 - David Ojo, Nusayer Masud Siddique, Carson K. Leung, Connor C. J. Hryhoruk:
Machine Learning-Based Android Malware Detection. DSAA 2023: 1-10 - Youssef Oubelmouh, Frédéric Fargon, Cyril De Runz, Arnaud Soulet, Cyril Veillon:
Identifying Survival-Changing Sequential Patterns for Employee Attrition Analysis. DSAA 2023: 1-10 - Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin:
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. DSAA 2023: 1-10 - Marek Pawlicki:
Towards Quality Measures for xAI algorithms: Explanation Stability. DSAA 2023: 1-10 - Chau-Thang Phan, Quoc-Nam Nguyen, Kiet Van Nguyen:
Link Prediction for Wikipedia Articles as a Natural Language Inference Task. DSAA 2023: 1-4 - Sebastian Pokucinski
, Dariusz Mrozek:
YOLO-based Object Detection in Panoramic Images of Smart Buildings. DSAA 2023: 1-9 - Dimitrios Proios, Anthony Yazdani, Alban Bornet, Julien Ehrsam, Islem Rekik, Douglas Teodoro:
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data. DSAA 2023: 1-10 - Udhaya Kumar Rajendran, Amir Ben Khalifa, Amine Trabelsi:
Learning Representations through Contrastive Strategies for a more Robust Stance Detection. DSAA 2023: 1-9