DSAA

Publications

2023

Peter D. Nagy, Heidar Davoudi
Towards Deep Learning Models for Automatic Computer Program Grading. DSAA (2023)
Youcef Djenouri, Ahmed Nabil Belbachir
Empowering Urban Connectivity in Smart Cities using Federated Intrusion Detection. DSAA (2023)
Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, Stefan Decker
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. DSAA (2023)
Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati, Manuel Roveri
To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health. DSAA (2023)
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA (2023)
Alessia Galdeman, Matteo Zignani, Sabrina Gaito
Unfolding temporal networks through statistically significant graph evolution rules. DSAA (2023)
Rafal Kozik, Wojciech Mazurczyk, Krzysztof Cabaj, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
Combating Disinformation with Holistic Architecture, Neuro-symbolic AI and NLU Models. DSAA (2023)
André Mourão, Daniel Gomes
Searching images in a web archive. DSAA (2023)
Raphaelle Akhras, Wassim El-Hajj, Hazem M. Hajj, Khaled B. Shaban, Rabih Jaber
ECC: Enhancing Smart Grid Communication with Ethereum Blockchain, Asymmetric Cryptography, and Cloud Services. DSAA (2023)
Saeed Alqubaisi, Deepak Puthal, Joy Dutta, Ernesto Damiani
Privacy-aware Adaptive Collaborative Learning Approach for Distributed Edge Networks. DSAA (2023)
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)
Katarzyna Filus, Joanna Domanska
Recycling of generic ImageNet-trained models for smart-city applications. DSAA (2023)
Errikos Streviniotis, Nikos Giatrakos, Yannis Kotidis, Thaleia Ntiniakou, Miguel Ponce de Leon
Optimizing Resource Allocation for Tumor Simulations over HPC Infrastructures. DSAA (2023)
Carina Newen, Emmanuel Müller
On the Independence of Adversarial Transferability to Topological Changes in the Dataset. DSAA (2023)
Shruti Saxena, Joydeep Chandra
EvoAlign: A Continual Learning Framework for Aligning Evolving Networks. DSAA (2023)
Chiyu Cai, Wei Wang, Yuan Jiang
Adaptive Clustered Federated Learning with Representation Similarity. DSAA (2023)
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)
Haiting Sun, Peng Tian, Yun Xiong, Yao Zhang, Yali Xiang, Xing Jia, Haofen Wang
DynamiSE: Dynamic Signed Network Embedding for Link Prediction. DSAA (2023)
Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue
Interpretable time series neural representation for classification purposes. DSAA (2023)
Jaroslaw Flak, Tomasz Skowron, Rafal Cupek, Marcin Fojcik, Dariusz Caban, Adam Domanski
ZigBee Network for AGV Communication in Industrial Environments. DSAA (2023)
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)
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, Germain Forestier
LITE: Light Inception with boosTing tEchniques for Time Series Classification. DSAA (2023)
Jingwei Zuo, Wenbin Li, Michele Baldo, Hakim Hacid
Opportunistic Air Quality Monitoring and Forecasting with Expandable Graph Neural Networks. DSAA (2023)
George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu, Hakim Hacid
Practical Insights on Incremental Learning of New Human Physical Activity on the Edge. DSAA (2023)
Lihi Idan
Organizational Resource Scheduling using Deep Reinforcement Learning. DSAA (2023)
Giuseppe Rizzo, Angelo Impedovo
Supplier qualification document recognition through open-set recognition. DSAA (2023)
Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA (2023)
Wei Liang, Derui Ding, Hui Yu
PAF-Tracker: A Novel Pre-Frame Auxiliary and Fusion Visual Tracker. DSAA (2023)
Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam
Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. DSAA (2023)
Raphael Fischer, Andreas Pauly, Rahel Wilking, Anoop Kini, David Graurock
Prioritization of Identified Data Science Use Cases in Industrial Manufacturing via C-EDIF Scoring. DSAA (2023)
Pascal Weber, Lukas Miklautz, Akshey Kumar, Moritz Grosse-Wentrup, Claudia Plant
CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning. DSAA (2023)
Pietro Recalcati, Fabio Garcea, Luca Piano, Fabrizio Lamberti, Lia Morra
Toward a Realistic Benchmark for Out-of-Distribution Detection. DSAA (2023)
Guowei Zhang, Xuyun Zhang, Zhiyong Wang, Amin Beheshti
Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization. DSAA (2023)
Nourhan Ahmed, Lars Schmidt-Thieme
Sparse Self-Attention Guided Generative Adversarial Networks for Time-Series Generation. DSAA (2023)
João Victor Galvão da Mata, Martin S. Andersen
AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. DSAA (2023)
Ameeta Agrawal, Lisa Singh, Elizabeth Jacobs, Yaguang Liu, Gwyneth Dunlevy, Rhitabrat Pokharel, Varun Uppala
All Translation Tools Are Not Equal: Investigating the Quality of Language Translation for Forced Migration. DSAA (2023)
Keheng Wang, Chuantao Yin, Rumei Li, Sirui Wang, Yunsen Xian, Wenge Rong, Zhang Xiong
TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning. DSAA (2023)
Grzegorz Dudek
Combining Forecasts using Meta-Learning: A Comparative Study for Complex Seasonality. DSAA (2023)
Kuan Yan, Junbin Gao, Dmytro Matsypura
FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. DSAA (2023)
Daniele Giampaoli, Francesca Cipollini, Denise Maffione, Luca Oneto
Short-term Forecast and Long-term Simulation for Accurate Energy Consumption Prediction. DSAA (2023)
David Ing, Fabien Delorme, Saïd Jabbour, Nelly Robin, Lakhdar Sais
Classification with Explanation for Human Trafficking Networks. DSAA (2023)
Fatoumata Dama, Christine Sinoquet, Corinne Lejus-Bourdeau
A Framework for Context-Sensitive Prediction in Time Series - Feasibility Study for Data-Driven Simulation in Medicine. DSAA (2023)
Giang Ngo, Nhi N. Y. Vo
Enhancing recommendation systems with hybrid manifold regularized knowledge graph. DSAA (2023)
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)
Yang Lin
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting. DSAA (2023)
Carolina Stephanie Jerônimo de Almeida, Zenilton K. G. do Patrocínio, Simon Malinowski, Silvio Jamil Ferzoli Guimarães, Guillaume Gravier
A Novel Method for Temporal Graph Classification based on Transitive Reduction. DSAA (2023)
Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
ProPML: Probability Partial Multi-label Learning. DSAA (2023)
Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen
Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective. DSAA (2023)
Arijit Khan, Ehsan Bonabi Mobaraki
Interpretability Methods for Graph Neural Networks. DSAA (2023)
Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas
Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction. DSAA (2023)