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Publication search results
found 41 matches
- 2019
- Fabrizio Angiulli
, Fabio Fassetti, Luigi Palopoli, Cristina Serrao:
A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. DS 2019: 319-334 - Martin Atzmueller, Stefan Bloemheuvel, Benjamin Klöpper:
A Framework for Human-Centered Exploration of Complex Event Log Graphs. DS 2019: 335-350 - Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA. DS 2019: 129-144 - Elena Battaglia, Ruggero G. Pensa
:
Parameter-Less Tensor Co-clustering. DS 2019: 205-219 - Colin Bellinger, Paula Branco, Luís Torgo
:
The CURE for Class Imbalance. DS 2019: 3-17 - Anton Björklund
, Andreas Henelius, Emilia Oikarinen
, Kimmo Kallonen, Kai Puolamäki
:
Sparse Robust Regression for Explaining Classifiers. DS 2019: 351-366 - Vincent Branders
, Guillaume Derval
, Pierre Schaus
, Pierre Dupont
:
Mining a Maximum Weighted Set of Disjoint Submatrices. DS 2019: 18-28 - Vítor Cerqueira
, Luís Torgo
, Carlos Soares
:
Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. DS 2019: 445-459 - Andreia Conceição, João Gama
:
Main Factors Driving the Open Rate of Email Marketing Campaigns. DS 2019: 145-154 - André Correia
, Carlos Soares
, Alípio Jorge
:
Dataset Morphing to Analyze the Performance of Collaborative Filtering. DS 2019: 29-39 - Erik Dovgan
, Bojan Leskosek, Gregor Jurak
, Gregor Starc
, Maroje Soric
, Mitja Lustrek
:
Enhancing BMI-Based Student Clustering by Considering Fitness as Key Attribute. DS 2019: 155-165 - Mohsen Ahmadi Fahandar, Eyke Hüllermeier:
Feature Selection for Analogy-Based Learning to Rank. DS 2019: 279-289 - Sofia Fernandes
, Hadi Fanaee-T
, João Gama
:
Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification. DS 2019: 385-395 - Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito:
Construction of Histogram with Variable Bin-Width Based on Change Point Detection. DS 2019: 40-50 - Kemilly Dearo Garcia, Elaine Ribeiro de Faria
, Cláudio Rebelo de Sá
, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho
, Joost N. Kok:
Ensemble Clustering for Novelty Detection in Data Streams. DS 2019: 460-470 - Qianqian Gu, Ross King:
Deep Learning Does Not Generalize Well to Recognizing Cats and Dogs in Chinese Paintings. DS 2019: 166-175 - Dino Ienco
, Ruggero G. Pensa
:
Deep Triplet-Driven Semi-supervised Embedding Clustering. DS 2019: 220-234 - Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS 2019: 396-411 - Nyoman Juniarta
, Miguel Couceiro
, Amedeo Napoli:
A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structure. DS 2019: 51-60 - Samaneh Khoshrou, Mykola Pechenizkiy
:
Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series. DS 2019: 511-521 - Yannik Klein, Michael Rapp
, Eneldo Loza Mencía:
Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. DS 2019: 367-382 - Ana Kostovska, Ilin Tolovski, Fatima S. Maikore
, Larisa N. Soldatova, Pance Panov:
Neurodegenerative Disease Data Ontology. DS 2019: 235-245 - Sascha Krstanovic, Heiko Paulheim
:
Fourier-Based Parametrization of Convolutional Neural Networks for Robust Time Series Forecasting. DS 2019: 522-532 - Vladimir Kuzmanovski
, Mika Sulkava, Taru Palosuo, Jaakko Hollmén:
Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. DS 2019: 176-185 - Domenico Mandaglio
, Andrea Tagarelli:
A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks. DS 2019: 412-427 - Sandy Moens, Boris Cule, Bart Goethals
:
A Sampling-Based Approach for Discovering Subspace Clusters. DS 2019: 61-71 - Vu-Linh Nguyen
, Sébastien Destercke
, Eyke Hüllermeier:
Epistemic Uncertainty Sampling. DS 2019: 72-86 - Aljaz Osojnik
, Pance Panov, Saso Dzeroski
:
Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. DS 2019: 87-95 - Matej Petkovic
, Saso Dzeroski
, Dragi Kocev
:
Ensemble-Based Feature Ranking for Semi-supervised Classification. DS 2019: 290-305 - Hoang-Son Pham
, Siegfried Nijssen
, Kim Mens
, Dario Di Nucci
, Tim Molderez
, Coen De Roover
, Johan Fabry, Vadim Zaytsev:
Mining Patterns in Source Code Using Tree Mining Algorithms. DS 2019: 471-480
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