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ORCIDPKDD/ECML 2022: Grenoble, France - Workshops
- Irena Koprinska
, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4
Workshop on Data Science for Social Good (SoGood 2022)
- Iris Dominguez-Catena, Daniel Paternain, Mikel Galar:
Gender Stereotyping Impact in Facial Expression Recognition. 9-22 - Tito Griné, Carla Teixeira Lopes:
A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking. 23-38 - Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik:
A Unified Framework for Assessing Energy Efficiency of Machine Learning. 39-54 - Rodrigo Salles, Jérôme Mendes, Rita P. Ribeiro, João Gama:
Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data. 55-70 - Francisco M. Caldas, Cláudia Soares:
A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding. 71-88 - Roberto Nai, Emilio Sulis, Paolo Pasteris, Mirko Giunta, Rosa Meo:
Exploitation and Merge of Information Sources for Public Procurement Improvement. 89-102 - Rúben X. Lôpo, Alípio M. Jorge, Maria Pedroto:
Geovisualisation Tools for Reporting and Monitoring Transthyretin-Associated Familial Amyloid Polyneuropathy Disease. 103-118 - Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi:
Evaluation of Group Fairness Measures in Student Performance Prediction Problems. 119-136 - Gil Emmanuel Bancud, Alex John Labanon, Neil Angelo Abreo, Vladimer Kobayashi:
Combining Image Enhancement Techniques and Deep Learning for Shallow Water Benthic Marine Litter Detection. 137-149 - Sónia Teixeira, Bruno Veloso, José Coelho Rodrigues, João Gama:
Ethical and Technological AI Risks Classification: A Human Vs Machine Approach. 150-166 - Callum Evans, Hugo Barbosa:
A Reinforcement Learning Algorithm for Fair Electoral Redistricting in Parliamentary Systems. 167-180 - Nirbhaya Shaji, Thiago Andrade, Rita P. Ribeiro, João Gama:
Study on Correlation Between Vehicle Emissions and Air Quality in Porto. 181-196 - Fawzia Zehra Kara-Isitt, Stephen Swift, Allan Tucker:
Intelligently Detecting Information Online-Weaponisation Trends (IDIOT). 197-214
Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)
- Enrico Giai, Nicola Poeta, David Turnbull:
Multi-modal Terminology Management - Corpora, Data Models, and Implementations in TermStar. 219-226 - Emanuele d'Ajello, Davide Formica, Elio Masciari, Gaia Mattia, Arianna Anniciello, Cristina Moscariello, Stefano Quintarelli, Davide Zaccarella:
Cluster Algorithm for Social Choice. 227-237 - Areeba Umair, Elio Masciari, Giusi Madeo, Muhammad Habib Ullah:
Sentimental Analysis of COVID-19 Vaccine Tweets Using BERT+NBSVM. 238-247 - Matej Mihelcic, Tomislav Smuc:
Rules, Subgroups and Redescriptions as Features in Classification Tasks. 248-260 - Loren Nuyts, Laurens Devos, Wannes Meert, Jesse Davis:
Bitpaths: Compressing Datasets Without Decreasing Predictive Performance. 261-268 - Michele Delli Veneri, Lukasz Tychoniec, Fabrizia Guglielmetti, Eric Villard, Giuseppe Longo:
3D Detection of ALMA Sources Through Deep Learning. 269-280 - Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. 281-292
Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2022)
- Jonathan Haab, Nicolas Deutschmann, María Rodríguez Martínez:
Is Attention Interpretation? A Quantitative Assessment on Sets. 303-321 - Eric Ferreira Dos Santos, Alessandra Mileo:
From Disentangled Representation to Concept Ranking: Interpreting Deep Representations in Image Classification Tasks. 322-335 - Sam Pinxteren, Marco Favier, Toon Calders:
RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation. 336-352 - Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl:
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. 353-368 - Nikolaos Mylonas, Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas:
Local Multi-label Explanations for Random Forest. 369-384 - Husam Abdelqader, Evgueni N. Smirnov, Marc Pont, Marciano Geijselaers:
Interpretable and Reliable Rule Classification Based on Conformal Prediction. 385-401 - Alejandro Kuratomi, Evaggelia Pitoura, Panagiotis Papapetrou, Tony Lindgren, Panayiotis Tsaparas:
Measuring the Burden of (Un)fairness Using Counterfactuals. 402-417 - Raphael Baudeu, Marvin N. Wright, Markus Loecher:
Are SHAP Values Biased Towards High-Entropy Features? 418-433 - Enrique Valero-Leal, Manuel Campos, Jose M. Juarez:
Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping. 434-451 - Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort:
Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example. 452-466 - Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet:
Improving the Quality of Rule-Based GNN Explanations. 467-482 - Marta Marchiori Manerba, Virginia Morini:
Exposing Racial Dialect Bias in Abusive Language Detection: Can Explainability Play a Role? 483-497 - Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki:
On the Granularity of Explanations in Model Agnostic NLP Interpretability. 498-512
Workshop on Uplift Modeling (UMOD 2022)
- Deddy Jobson:
Estimating the Impact of Coupon Non-usage. 517-523 - Magdalena Grabarczyk, Krzysztof Rudas:
Shrinkage Estimators for Uplift Regression. 524-537
Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)
- Xiaotian Guo, Andy D. Pimentel, Todor P. Stefanov:
Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge. 545-556 - Fabian Kreß, Julian Höfer, Tim Hotfilter, Iris Walter, El Mahdi El Annabi, Tanja Harbaum, Jürgen Becker:
Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA. 557-568 - Tiberius-George Sorescu, Chandrakanth R. Kancharla, Jeroen Boydens, Hans Hallez, Mathias Verbeke:
Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training. 569-581 - Adrian Osterwind, Julian Droste-Rehling, Manoj Rohit Vemparala, Domenik Helms:
Hardware Execution Time Prediction for Neural Network Layers. 582-593 - Chao Qian, Tianheng Ling, Gregor Schiele:
Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs. 594-605 - Manuele Rusci, Marco Fariselli, Martin Croome, Francesco Paci, Eric Flamand:
Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization. 606-617 - Han Wu, Holland Qian, Huaming Wu, Aad van Moorsel:
LDRNet: Enabling Real-Time Document Localization on Mobile Devices. 618-629
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