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ORCID25th ISMIS 2020: Graz, Austria
- Denis Helic
, Gerhard Leitner, Martin Stettinger, Alexander Felfernig, Zbigniew W. Ras:
Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Graz, Austria, September 23-25, 2020, Proceedings. Lecture Notes in Computer Science 12117, Springer 2020, ISBN 978-3-030-59490-9
Invited Talk
- Marko Tkalcic:
Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations. 3-8
Nominees for Best Paper Award
- Laurel Powell, Anna Gelich, Zbigniew W. Ras:
The Construction of Action Rules to Raise Artwork Prices. 11-20 - Jinfu Ren, Yang Liu, Jiming Liu:
Metric-Guided Multi-task Learning. 21-31 - Katarzyna Biesialska, Magdalena Biesialska, Henryk Rybinski:
Sentiment Analysis with Contextual Embeddings and Self-attention. 32-41
Nominees for Best Student Paper Award
- Adam Gabriel Dobrakowski, Agnieszka Mykowiecka, Malgorzata Marciniak, Wojciech Jaworski, Przemyslaw Biecek:
Interpretable Segmentation of Medical Free-Text Records Based on Word Embeddings. 45-55 - Stefan Plappert, Paul Christoph Gembarski, Roland Lachmayer:
Decision-Making with Probabilistic Reasoning in Engineering Design. 56-65 - Tomaz Stepisnik, Dragi Kocev:
Hyperbolic Embeddings for Hierarchical Multi-label Classification. 66-76
Natural Language Processing
- Radomir Popovic, Florian Lemmerich, Markus Strohmaier:
Joint Multiclass Debiasing of Word Embeddings. 79-89 - Alexander Chernyavskiy, Dmitry Ilvovsky:
Recursive Neural Text Classification Using Discourse Tree Structure for Argumentation Mining and Sentiment Analysis Tasks. 90-101 - Sergiu Gordea, Monica Lestari Paramita, Antoine Isaac:
Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu. 102-112 - Elio Masciari, Vincenzo Moscato, Antonio Picariello, Giancarlo Sperlì:
A Deep Learning Approach to Fake News Detection. 113-122 - Yue Zhou, Yan Zhang, JingTao Yao:
Satirical News Detection with Semantic Feature Extraction and Game-Theoretic Rough Sets. 123-135
Deep Learning and Embeddings
- Tiago Mendes-Neves, João Mendes-Moreira:
Comparing State-of-the-Art Neural Network Ensemble Methods in Soccer Predictions. 139-149 - Jacek Grekow:
Static Music Emotion Recognition Using Recurrent Neural Networks. 150-160 - Annalisa Appice, Francesco Lomuscio, Antonella Falini, Cristiano Tamborrino, Francesca Mazzia, Donato Malerba:
Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. 161-170 - Qi Tan, Yang Liu, Jiming Liu:
Mesoscale Anisotropically-Connected Learning. 171-180 - Tomislav Duricic, Hussain Hussain, Emanuel Lacic, Dominik Kowald, Denis Helic, Elisabeth Lex:
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. 181-191 - Konrad A. Ciecierski:
Neural Spike Sorting Using Unsupervised Adversarial Learning. 192-202
Digital Signal Processing
- Saketh Saxena, Philip Heller, Amanda S. Kahn, Ivano Aiello:
Poriferal Vision: Classifying Benthic Sponge Spicules to Assess Historical Impacts of Marine Climate Change. 205-213 - Ning Dong, Yusuke Hatae, Muhammad Fikko Fadjrimiratno, Tetsu Matsukawa, Einoshin Suzuki:
Experimental Evaluation of GAN-Based One-Class Anomaly Detection on Office Monitoring. 214-224 - Szymon Zaporowski, Bozena Kostek:
Ranking Speech Features for Their Usage in Singing Emotion Classification. 225-234 - Corrado Loglisci, Marco Zappatore, Antonella Longo, Mario A. Bochicchio, Donato Malerba:
Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. 235-244 - Ayman Hajja, Justin Willis:
A Hierarchical-Based Web-Platform for Crowdsourcing Distinguishable Image Patches. 245-254 - Marcus D. Bloice, Peter M. Roth, Andreas Holzinger:
Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs. 255-264
Modelling and Reasoning
- Edi Muskardin, Ingo Pill, Franz Wotawa:
CatIO - A Framework for Model-Based Diagnosis of Cyber-Physical Systems. 267-276 - Juba Agoun, Mohand-Saïd Hacid:
Data Publishing: Availability of Data Under Security Policies. 277-286 - Seda Polat Erdeniz, Ralph Samer, Muesluem Atas:
Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems. 287-297 - Franz Wotawa, Lorenz Klampfl:
Explaining Object Motion Using Answer Set Programming. 298-307 - Stefano Ferilli, Domenico Redavid:
The GraphBRAIN System for Knowledge Graph Management and Advanced Fruition. 308-317 - Florian Lemmerich, Christoph Kiefer, Benedikt Langenberg, Jeffry Cacho Aboukhalil, Axel Mayer:
Mining Exceptional Mediation Models. 318-328
Machine Learning Applications
- Tomaz Stepisnik, Dragi Kocev:
Multivariate Predictive Clustering Trees for Classification. 331-341 - Nicolas Wagner, Violaine Antoine, Jonas Koko, Marie-Madeleine Mialon, Romain Lardy, Isabelle Veissier:
Comparison of Machine Learning Methods to Detect Anomalies in the Activity of Dairy Cows. 342-351 - Mieczyslaw Alojzy Klopotek, Robert Albert Klopotek:
Clustering Algorithm Consistency in Fixed Dimensional Spaces. 352-361 - Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski:
Estimating the Importance of Relational Features by Using Gradient Boosting. 362-371 - Xingjian Liu, Fan Zhang, Xianghua Li, Chao Gao, Jiming Liu:
Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering. 372-382 - Martin Breskvar, Saso Dzeroski:
Predicting Associations Between Proteins and Multiple Diseases. 383-392
Short Papers
- Erich Teppan, Markus Zanker:
Exploiting Answer Set Programming for Building explainable Recommendations. 395-404 - Andreas A. Falkner, Gottfried Schenner, Alexander Schörghuber:
Tailoring Random Forest for Requirements Classification. 405-412 - Troels Andreasen, Henrik Bulskov, Jørgen Fischer Nilsson:
On the Design of a Natural Logic System for Knowledge Bases. 413-421 - Julian Tritscher, Markus Ring, Daniel Schlör, Lena Hettinger, Andreas Hotho:
Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. 422-430 - Konstantin Kobs, Michael Steininger, Albin Zehe, Florian Lautenschlager, Andreas Hotho:
SimLoss: Class Similarities in Cross Entropy. 431-439 - Mikkel Pedersen, Henning Christiansen, Nessn H. Azawi:
Efficient and Precise Classification of CT Scannings of Renal Tumors Using Convolutional Neural Networks. 440-447 - Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. 448-456 - Cristian Vidal Silva, Alexander Felfernig, José A. Galindo, Müslüm Atas, David Benavides:
A Parallelized Variant of Junker's QuickXPlain Algorithm. 457-468
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