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ORCIDPKDD / ECML 2023: Turin, Italy - Part VII
- Gianmarco De Francisci Morales
, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14175, Springer 2023, ISBN 978-3-031-43429-7
Sustainability, Climate, and Environment
- Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. 3-19 - Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco:
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. 20-36 - Yifan Zhao, Xian Yang, Ranga Raju Vatsavai:
Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. 37-53 - Fudong Lin, Xu Yuan, Yihe Zhang, Purushottam Sigdel, Li Chen, Lu Peng, Nian-Feng Tzeng:
Comprehensive Transformer-Based Model Architecture for Real-World Storm Prediction. 54-71 - Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. 72-89 - Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang:
Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data. 90-105 - Espen Haugsdal, Sara Malacarne, Massimiliano Ruocco:
Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles. 106-121
Transportation and Urban Planning
- Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo:
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. 125-140 - Liang Zhang, Shubin Xie, Jianming Deng:
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization. 141-156 - Wenyu Wu, Wenyi Shen, Jiali Mao, Lisheng Zhao, Shaosheng Cao, Aoying Zhou, Lin Zhou:
PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectories. 157-173 - Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei:
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. 174-191 - Felix Clemens Gail, Roland Rieke, Florian Fenzl:
RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet. 192-209 - Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang:
Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. 210-225 - Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani:
Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. 226-241 - Hadi Hojjati, Mohammadreza Sadeghi, Narges Armanfard:
Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction. 242-259 - Miguel E. P. Silva, Bruno Veloso, João Gama:
Predictive Maintenance, Adversarial Autoencoders and Explainability. 260-275 - Tao Wu, Kaixuan Zhu, Jiali Mao, Miaomiao Yang, Aoying Zhou:
TDCM: Transport Destination Calibrating Based on Multi-task Learning. 276-292
Demo
- Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire:
An Interactive Interface for Novel Class Discovery in Tabular Data. 295-299 - Kinal Mehta, Anuj Mahajan, Pawan Kumar:
marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. 300-304 - Peng Yuan, Lu-An Tang, Haifeng Chen, David S. Chang, Moto Sato, Kevin Woodward:
Temporal Graph Based Incident Analysis System for Internet of Things. 305-309 - Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker:
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. 310-314 - Pratik Maitra, Masahiro Kiji, Talal Riaz, Philip M. Polgreen, Alberto M. Segre, Sriram V. Pemmaraju, Bijaya Adhikari:
Cad2graph: Automated Extraction of Spatial Graphs from Architectural Drawings. 315-319 - Marcin Korcz, Dawid Plaskowski, Mateusz Politycki, Jerzy Stefanowski, Alex Terentowicz:
PIQARD System for Experimenting and Testing Language Models with Prompting Strategies. 320-323 - Michalis Mountantonakis, Yannis Tzitzikas:
Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses. 324-329 - Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Interactive Visualization of Counterfactual Explanations for Tabular Data. 330-334 - Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki:
χiplot: Web-First Visualisation Platform for Multidimensional Data. 335-339 - Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra:
Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. 340-344 - Sander Noels, Adriaan Merlevede, Andrew Fecheyr, Maarten Vanhalst, Nick Meerlaen, Sébastien Viaene, Tijl De Bie:
Automated Financial Analysis Using GPT-4. 345-349 - Aleksander Sawicki, Khalid Saeed:
Gait-Based Biometrics System. 350-355 - Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller:
The Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection. 356-360 - Moreno La Quatra, Salvatore Greco, Luca Cagliero, Tania Cerquitelli:
Inclusively: An AI-Based Assistant for Inclusive Writing. 361-365 - Ricardo Santos, Bruno Ribeiro, Pedro Dias, Isabel Curioso, Pedro Madeira, Federico Guede-Fernández, Jorge Santos, Pedro Coelho, Inês Sousa, Ana Londral:
A Risk Prediction Framework to Optimize Remote Patient Monitoring Following Cardiothoracic Surgery. 366-371 - Mayank Goel, Venktesh Viswanathan, Vikram Goyal:
MWPRanker: An Expression Similarity Based Math Word Problem Retriever. 372-377
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