ISMIS C

45 papers

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