Collection 2023
Papers submitted to the journal track at ECML-PKDD 2023 and accepted before 15 July 2023
Machine Learning (ML)
| PAPER ID | Title | Authors |
|---|---|---|
| MACH-D-22-01138R1 | A3T: Accuracy Aware Adversarial Training | Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla |
| MACH-D-22-01125R1 | NaCL: Noise-Robust Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation | Jingzheng Li, Beihang University, Hailong Sun, Beihang University |
| MACH-D-22-01106R1 | FairSwiRL : Fair Semi-supervised Classification with Representation Learning | Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero Gaetano Pensa, Roberto Esposito |
| MACH-D-23-00627 | "Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams." | Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer |
| MACH-D-22-01167R1 | Also for k-Means: More Data Does Not Imply Better Performance | Marco Loog, Jesse Krijthe, Manuele Bicego |
| MACH-D-23-00079R1 | WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification | Patrick Schäfer, Ulf Leser |
| MACH-D-23-00115R1 | FAC-Fed: Federated adaptation for fairness and concept drift aware stream classification | Maryam Badar, Wolfgang Nejdl, Marco Fisichella |
| MACH-D-23-00119R1 | Learning domain invariant representations of heterogeneous image data | Mihailo Obrenović, Thomas Lampert, Miloš Ivanović, Pierre Gançarski |
| MACH-D-23-00126R1 | UCoDe: Unified Community Detection with Graph Convolutional Networks | Atefeh Moradan, Andrew Alexander Draganov, Davide Mottin, Ira Assent |
| MACH-D-23-00146R1 | How to be fair? A study of label and selection bias | Marco Favier, Toon Calders, Sam Pinxteren, Jonathan Meyer |
| MACH-D-23-00107R1 | Are LSTMs Good Few-Shot Learners? | Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn |
| MACH-D-23-00106R1 | Subspace Adaptation Prior for Few-Shot Learning | Mike Huisman, Aske Plaat, Jan N. van Rijn |
| MACH-D-22-01149R1 | Model-based trajectory stitching for improved behavioural cloning and its applications | Charles Alexander Hepburn, Giovanni Montana |
| MACH-D-22-01131R1 | No Regret Sample Selection with Noisy Labels | Heon Song, Nariaki Mitsuo, Seiichi Uchida, Daiki Suehiro |
| MACH-D-22-01098R1 | Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts | Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols |
| MACH-D-22-01126R2 | Spike2CGR: An Efficient Method For Spike Sequence Classification Using Chaos Game Representation | Taslim Murad, Sarwan Ali, Imdadullah Khan, Murray Patterson |
| MACH-D-22-01089R1 | Mirror Variational Transport: A Particle-based Algorithm for Distributional Optimization on Constrained Domain | Dai Hai Nguyen, Tetsuya Sakurai |
| MACH-D-23-00125R1 | Automotive Fault Nowcasting with Machine Learning and Natural Language Processing | John Pavlopoulos, Alv Romell, Jacob Curman, lof Steinert, Tony Lindgren, Markus Borg, and Korbinian Randl, |
| MACH-D-23-00116 | Trajectory Test-Train Overlap in Next-Location Prediction Datasets | Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi |
| MACH-D-23-00113 | Targeted Adversarial Attacks on Wind Power Forecasts | René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna |
| MACH-D-23-00133 | Efficient Generator of Mathematical Expressions for Symbolic Regression | Sebastian Mežnar, Sašo Džeroski, Ljupčo Todorovski |
Data Mining and Knowledge Discovery (DAMI)
| PAPER ID | Title | Authors |
|---|---|---|
| DAMI-D-22-00574R1 | ROhAN: Row-Order Agnostic Null Models for Statistically-sound Knowledge Discovery | Maryam Abuissa , Alexander Lee and Matteo Riondato |
| DAMI-D-22-00604R1 | MrTF: Model Refinery for Transductive Federated Learning | Xin-Chun Li, Yang Yang. De-Chuan Zhan |
| DAMI-D-22-00555R1 | Variable screening for Lasso based on multidimensional indexing | Barbara Zogala-Siudem, Szymon Jaroszewicz |
| DAMI-D-22-00556R1 | Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm | Fanchen Bu, Shinhwan Kang and Kijung Shin |
| DAMI-D-22-00567R1 | Improving Position Encoding of Transformers for Multivariate Time Series Classification | Navid Mohammadi Foumani, Chang Wei Tan , Geoffrey I. Webb and Mahsa Salehi |
| DAMI-D-23-00103R1 | TenGAN: Generating Multiplex Tensor Graphs | William Shiao, Benjamin A. Miller, Kevin Chan, Paul Yu, Tina Eliassi-Rad and Evangelos E. Papalexakis |
| DAMI-D-23-00094R2 | Datasets, Tasks, and Training Methods for Large-Scale Hypergraph Learning | Sunwoo Kim , Dongjin Lee, Yul Kim, Jungho Park, Taeho Hwang and Kijung Shin |
| DAMI-D-23-00104R1 | Column-coherent matrix decomposition | Nikolaj Tatti |
| DAMI-D-23-00095R1 | A Tale of Two Roles: Exploring Topic-specific Susceptibility and Influence in Cascade Prediction | Ninghan Chen, Xihui Chen, Zhiqiang Zhong and Jun Pang |
| DAMI-D-23-00092R1 | Improving the Core Resilience of Real-world Hypergraphs | Manh Tuan Do and Kijung Shin |
| DAMI-D-23-00080R1 | Hypercore Decomposition for Non-Fragile Hyperedges: Concepts, Algorithms, Observations, and Applications | Fanchen Bu, Geon Lee and Kijung Shin |
| DAMI-D-22-00600R1 | Z-Time: Efficient and Effective Interpretable Multivariate Time Series Classification | Zed Lee, Tony Lindgren and Panagiotis Papapetrou |
| DAMI-D-23-00086R1 | Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation | João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena |
| DAMI-D-22-00580R1 | Regression Tree-based Active Learning | Ashna Jose, João Paulo Almeida de Mendonça. Emilie Devijver. Noël Jakse. Valérie Monbet, Roberta Poloni |
| DAMI-D-22-00359 | Parameterizing the cost function of dynamic time warping with application to time series classification | Matthieu Herrmann, Chang Wei Tan & Geoffrey I. Webb |
| DAMI-D-23-00101R1 | Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes | Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Manish Gupta and Puneet Agrawal |
| DAMI-D-23-00090R1 | Improving Graph Neural Networks by Combining Active Learning with Self-Training | Georgios Katsimpras and Georgios Paliouras |
| DAMI-D-23-00039R1 | Improving Neural Network’s Robustness on Tabular Data with D-Layers | Haiyang Xia, Nayyar Zaidi, Yishuo Zhang and Gang Li |
| DAMI-D-22-00595R1 | MODE-Bi-GRU: Orthogonal Independent Bi-GRU Model with Multiscale Feature Extraction | Wei Wang, Wenhan Ruan, and Xiangfu Meng |
| DAMI-D-22-00568R1 | i-Align: An Interpretable Knowledge Graph Alignment Model | Bayu Distiawan Trisedya, Flora D. Salim, Jeffrey Chan, Damiano Spina, Falk Scholer and Mark Sanderson |
| DAMI-D-22-00564R1 | An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification | Nikolaos Mylonas, Ioannis Mollas and Grigorios Tsoumakas |
| DAMI-D-23-00105R1 | Studying Bias in Visual Features through the Lens of Optimal Transport | Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi |
| DAMI-D-22-00573R1 | Can Local Explanation Techniques Explain Linear Additive Models? | Amir Hossein Akhavan Rahnama, Judith Butepage, Pierre Geurts, Henrik Bostrom |
| DAMI-D-23-00082R1 | Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach. | Antonio R. Moya, Bruno Veloso, Joao Gama, and Sebastian Ventura |
| DAMI-D-22-00576R2 | Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training | Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, and Flora Salim |
Collection 2022
Papers submitted to the journal track at ECML-PKDD 2022 and accepted since September 2022
Machine Learning (ML)
| PAPER ID | Title | Authors |
|---|---|---|
| MACH-D-22-00130 | Matrix-wise L0-constrained Sparse Nonnegative Least Squares | Nicolas Nadisic, Jeremy E Cohen, Arnaud Vandaele, Nicolas Gillis |
| MACH-D-21-00985 | SLISEMAP: Supervised dimensionality reduction through local explanations | Anton Björklund, Kai Puolamäki, |
| MACH-D-21-00987 | Adversarial Examples for Extreme Multilabel Text Classification | Mohammadreza Qaraei, Rohit Babbar |
| MACH-D-22-00132 | Generalizing p-Laplacian: Spectral Hypergraph Theory and a Partitioning Algorithm. | Shota Saito, Mark Herbster |
| MACH-D-22-00118 | SVRG meets AdaGrad: Painless Variance Reduction | Benjamin Dubois-Taine, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Simon Lacoste-Julien, |
| MACH-D-21-00989 | An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging | Cesar Sabater, Aurelien Bellet, Jan Ramon |
| MACH-D-21-00994 | Online Learning of Network Bottlenecks via Minimax Paths | Niklas Åkerblom,Fazeleh Hoseini,Morteza Haghir Chehreghani |
| MACH-D-21-00996 | Multi-Armed Bandits with Censored Consumption of Resources | Viktor Bengs,Eyke Hüllermeier |
| MACH-D-22-00149 | Neural Predictor-Based Automated Graph Classifier Framework | BABATOUNDE MOCTARD OLOULADE, Jianliang Gao,Jiamin Chen,Raeed Al-Sabri,Tengfei Lyu |
| MACH-D-22-00147 | Relational Data Embeddings for Feature Enrichment with Background Information | Alexis Cvetkov-Iliev, Alexandre Allauzen,Gaël Varoquaux |
| MACH-D-22-00076 | Circular-Symmetric Correlation Layer | Bahar Azari,Deniz Erdoğmuş |
| MACH-D-21-00988 | Learning Multi-Agent Coordination through Connectivity-driven Communication | Emanuele Pesce, Giovanni Montana |
| MACH-D-21-00975 | Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study | Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou |
| MACH-D-21-00790 | A Family of Pairwise Multi-Marginal Optimal Transports that Define a Generalized Metric | Liang Mi, Azadeh Sheikholeslami, José Bento |
| MACH-D-21-00786 | Efficient Learning of Large Sets of Locally Optimal Classification Rules | Phuong Huynh, Johannes Fürnkranz, Florian Beck |
| MACH-D-22-00136 | Constrained regret minimization for multi-criterion multi-armed bandits | Anmol Manish Kagrecha,Jayakrishnan Nair, Krishna Jagannathan, |
| MACH-D-21-00784 | Robust Federated Learning under Statistical Heterogeneity via Hessian-Weighted Aggregation | Adnan Ahmad,Wei Luo,Antonio Robles-Kelly, |
| MACH-D-21-00979 | Correlated Product of Experts for Sparse Gaussian Process Regression | Manuel Schürch,Dario Azzimonti,Alessio Benavoli,Marco Zaffalon |
| MACH-D-21-00984 | Pruning during training by network efficacy modeling | Mohit Rajpal,Yehong Zhang,Kian Hsiang Low |
| MACH-D-22-00133 | Diverse and Consistent Multi-view Networks for Semi-supervised Regression | CUONG MANH NGUYEN, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo |
| MACH-D-22-00145 | Reducing Classifier Overconfidence Against Adversaries through Graph Algorithms | Leonardo Teixeira,Brian Jalaian,Bruno Ribeiro, |
| MACH-D-21-00998 | Data Driven Discovery of Systems of Ordinary Differential Equations Using Nonconvex Multitask Learning | Clément Lejeune, Josiane Mothe,Adil Soubki,Olivier Teste, |
| MACH-D-22-00127 | SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting | Rakshitha Wathsadini Godahewa,Geoffrey I. Webb, Daniel Schmidt,Christoph Bergmeir |
| MACH-D-21-00980 | Learning Key Steps to Attack Deep Reinforcement Learning Agents | Chien-Min Yu,Ming-Hsin Chen,Hsuan-Tien Lin, |
| MACH-D-21-00995 | A General Framework for the Practical Disintegration of PAC-Bayesian Bounds | Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant, |
| MACH-D-21-00795 | Scale-Preserving Automatic Concept Extraction (SPACE) | Andres Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Deevio GmbH, Sebastian Trimpe |
| MACH-D-21-00977 | Robust estimation in regression and classification methods for large dimensional data | Chunming Zhang, Lixing Zhu, Yanbo Shen |
Data Mining and Knowledge Discovery (DAMI)
| PAPER ID | Title | Authors |
|---|---|---|
| DAMI-D-21-00656 | A Combinatorial Multi-Armed Bandit Approach to Correlation Clustering | Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli |
| DAMI-D-21-00664 | Graph Convolutional Networks for Traffic Forecasting with Missing Values | Jingwei Zuo, Karine Zeitouni, Yehia Taher & Sandra Garcia-Rodriguez |
| DAMI-D-21-00644 | ConvMOS: Climate Model Output Statistics with Deep Learning | Michael Steininger, Daniel Abel, Katrin Ziegler, Anna Krause, Heiko Paeth, Andreas Hotho |
| DAMI-D-21-00645 | Personalised Meta-path Generation for Heterogeneous Graph Neural Networks | Zhiqiang Zhong, Cheng-Te Li, Jun Pang |
| DAMI-D-21-00652 | Joint Leaf-Refinement and Ensemble Pruning Through L1 Regularization | Sebastian Buschjäger, Katharina Morik, |
| DAMI-D-21-00618 | AA-Forecast: Anomaly-Aware Forecast for Extreme Events | Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo |
| DAMI-D-21-00673 | Informative Pseudo-Labeling for Graph Neural Networks with Few Labels | Yayong Li, Jie Yin & Ling Chen |
| DAMI-D-22-00046 | Multi-view Metro Station Clustering based on Passenger Flows: A Functional Data Edged Network Community Detection Approach | Chen Zhang, Baihua Zheng,,Fugee Tsung |
| DAMI-D-22-00053 | Regularized impurity reduction: Accurate decision trees with complexity guarantees | Guangyi Zhang, Aristides Gionis |
| DAMI-D-22-00057 | Hierarchical Message-Passing Graph Neural Networks | Zhiqiang Zhong, Cheng-Te Li, Jun Pang |
| DAMI-D-22-00061 | Generalized Density Attractor Clustering for Incomplete Data | Richard Leibrandt, Stephan Günnemann |
| DAMI-D-22-00064 | Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series Classification | Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim |
| DAMI-D-22-00068 | Difference Embedding for Recommender Systems | Peng Yi, Xiongcai Cai, Ziteng Li |