ECML/PKDD (7)

Publications

2023

Hadi Hojjati, Mohammadreza Sadeghi, Narges Armanfard
Multivariate Time-Series Anomaly Detection with Temporal Self-supervision and Graphs: Application to Vehicle Failure Prediction. ECML/PKDD (7) (2023)
Mohamed Abuella, M. Amine Atoui, Slawomir Nowaczyk, Simon Johansson, Ethan Faghani
Data-Driven Explainable Artificial Intelligence for Energy Efficiency in Short-Sea Shipping. ECML/PKDD (7) (2023)
Kinal Mehta, Anuj Mahajan, Pawan Kumar
marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. ECML/PKDD (7) (2023)
Moreno La Quatra, Salvatore Greco, Luca Cagliero, Tania Cerquitelli
Inclusively: An AI-Based Assistant for Inclusive Writing. ECML/PKDD (7) (2023)
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
Interactive Visualization of Counterfactual Explanations for Tabular Data. ECML/PKDD (7) (2023)
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. ECML/PKDD (7) (2023)
Sander Noels, Adriaan Merlevede, Andrew Fecheyr, Maarten Vanhalst, Nick Meerlaen, Sébastien Viaene, Tijl De Bie
Automated Financial Analysis Using GPT-4. ECML/PKDD (7) (2023)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) (2023)
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. ECML/PKDD (7) (2023)
Tao Wu, Kaixuan Zhu, Jiali Mao, Miaomiao Yang, Aoying Zhou
TDCM: Transport Destination Calibrating Based on Multi-task Learning. ECML/PKDD (7) (2023)
Wenyu Wu, Wenyi Shen, Jiali Mao, Lisheng Zhao, Shaosheng Cao, Aoying Zhou, Lin Zhou
PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectories. ECML/PKDD (7) (2023)
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. ECML/PKDD (7) (2023)
Zhanyu Liu, Chumeng Liang, Guanjie Zheng, Hua Wei
FDTI: Fine-Grained Deep Traffic Inference with Roadnet-Enriched Graph. ECML/PKDD (7) (2023)
Aleksander Sawicki, Khalid Saeed
Gait-Based Biometrics System. ECML/PKDD (7) (2023)
Espen Haugsdal, Sara Malacarne, Massimiliano Ruocco
Circle Attention: Forecasting Network Traffic by Learning Interpretable Spatial Relationships from Intersecting Circles. ECML/PKDD (7) (2023)
Liang Zhang, Shubin Xie, Jianming Deng
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization. ECML/PKDD (7) (2023)
Michalis Mountantonakis, Yannis Tzitzikas
Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses. ECML/PKDD (7) (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) (2023)
Cássio Fraga Dantas, Thalita F. Drumond, Diego Marcos, Dino Ienco
Counterfactual Explanations for Remote Sensing Time Series Data: An Application to Land Cover Classification. ECML/PKDD (7) (2023)
Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. ECML/PKDD (7) (2023)
Arn Baudzus, Bin Li, Adnane Jadid, Emmanuel Müller
The Good, The Bad, and The Average: Benchmarking of Reconstruction Based Multivariate Time Series Anomaly Detection. ECML/PKDD (7) (2023)
Jakob Hederich, Shreya Ghosh, Zeyu He, Prasenjit Mitra
Lumos in the Night Sky: AI-Enabled Visual Tool for Exploring Night-Time Light Patterns. ECML/PKDD (7) (2023)
Felix Clemens Gail, Roland Rieke, Florian Fenzl
RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet. ECML/PKDD (7) (2023)
Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire
An Interactive Interface for Novel Class Discovery in Tabular Data. ECML/PKDD (7) (2023)
Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. ECML/PKDD (7) (2023)
Peng Yuan, Lu-An Tang, Haifeng Chen, David S. Chang, Moto Sato, Kevin Woodward
Temporal Graph Based Incident Analysis System for Internet of Things. ECML/PKDD (7) (2023)
Miguel E. P. Silva, Bruno Veloso, João Gama
Predictive Maintenance, Adversarial Autoencoders and Explainability. ECML/PKDD (7) (2023)
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. ECML/PKDD (7) (2023)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. ECML/PKDD (7) (2023)
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. ECML/PKDD (7) (2023)
Mayank Goel, Venktesh Viswanathan, Vikram Goyal
MWPRanker: An Expression Similarity Based Math Word Problem Retriever. ECML/PKDD (7) (2023)
Akihiro Tanaka, Juniper Tyree, Anton Björklund, Jarmo Mäkelä, Kai Puolamäki
χiplot: Web-First Visualisation Platform for Multidimensional Data. ECML/PKDD (7) (2023)
Marcin Korcz, Dawid Plaskowski, Mateusz Politycki, Jerzy Stefanowski, Alex Terentowicz
PIQARD System for Experimenting and Testing Language Models with Prompting Strategies. ECML/PKDD (7) (2023)

volume 14175, 2023

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 ECML/PKDD (7) 14175 (2023)