| DisRFC: a dissimilarity-based Random Forest Clustering approach | 0 | 0.34 | 2023 |
| Enhanced anomaly scores for isolation forests | 0 | 0.34 | 2021 |
| Proximity Isolation Forests | 0 | 0.34 | 2020 |
| A Cheaper Rectified-Nearest-Feature-Line-Segment Classifier Based On Safe Points | 0 | 0.34 | 2020 |
| On Learning Random Forests For Random Forest-Clustering | 0 | 0.34 | 2020 |
| Powerhc: Non Linear Normalization Of Distances For Advanced Nearest Neighbor Classification | 0 | 0.34 | 2020 |
| Orienteering-based informative path planning for environmental monitoring. | 5 | 0.44 | 2019 |
| Subspace clustering for situation assessment in aquatic drones. | 1 | 0.38 | 2019 |
| A dissimilarity-based multiple instance learning approach for protein remote homology detection | 1 | 0.35 | 2019 |
| A Novel Anomaly Score For Isolation Forests | 2 | 0.37 | 2019 |
| Towards better volcanic risk-assessment systems by applying ensemble classification methods to triaxial seismic-volcanic signals | 0 | 0.34 | 2019 |
| Relation, Transition And Comparison Between The Adaptive Nearest Neighbor Rule And The Hypersphere Classifier | 0 | 0.34 | 2019 |
| On the importance of local and global analysis in the judgment of similarity and dissimilarity of faces | 0 | 0.34 | 2019 |
| Mining Nmr Spectroscopy Using Topic Models | 0 | 0.34 | 2018 |
| On the distinctiveness of the electricity load profile. | 1 | 0.36 | 2018 |
| Clustering via binary embedding. | 0 | 0.34 | 2018 |
| Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning. | 0 | 0.34 | 2018 |
| Biclustering with a quantum annealer. | 1 | 0.34 | 2018 |
| Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. | 0 | 0.34 | 2017 |
| Spike and slab biclustering. | 0 | 0.34 | 2017 |
| Path efficient level set estimation for mobile sensors. | 0 | 0.34 | 2017 |
| Soft Ngram Representation and Modeling for Protein Remote Homology Detection. | 1 | 0.36 | 2017 |
| A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees. | 1 | 0.35 | 2017 |
| Biclustering of time series data using factor graphs. | 0 | 0.34 | 2017 |
| A biclustering approach based on factor graphs and the max-sum algorithm. | 4 | 0.44 | 2017 |
| Dominant Set Biclustering. | 0 | 0.34 | 2017 |
| A Quantum Annealing Approach to Biclustering. | 0 | 0.34 | 2016 |
| Skeleton-Based Orienteering for Level Set Estimation. | 2 | 0.56 | 2016 |
| Orienteering-based Path Selection for Mobile Sensors. | 0 | 0.34 | 2016 |
| Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space. | 0 | 0.34 | 2016 |
| Traveling on discrete embeddings of gene expression. | 1 | 0.35 | 2016 |
| Properties of the Box-Cox transformation for pattern classification. | 2 | 0.43 | 2016 |
| Multiple Structure Recovery via Probabilistic Biclustering. | 2 | 0.37 | 2016 |
| Enriched Bag of Words for Protein Remote Homology Detection. | 0 | 0.34 | 2016 |
| Biclustering gene expressions using factor graphs and the max-sum algorithm | 3 | 0.40 | 2015 |
| Volcano-Seismic Events Classification Using Document Classification Strategies | 0 | 0.34 | 2015 |
| The DTW-based representation space for seismic pattern classification | 2 | 0.38 | 2015 |
| A Comparison Between Time-Frequency And Cepstral Feature Representations For The Classification Of Seismic-Volcanic Signals | 1 | 0.37 | 2014 |
| A Bioinformatics Approach To 3d Shape Matching | 3 | 0.37 | 2014 |
| Expression Microarray Data Classification Using Counting Grids and Fisher Kernel | 2 | 0.36 | 2014 |
| A Binary Factor Graph Model for Biclustering. | 5 | 0.43 | 2014 |
| Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. | 7 | 0.47 | 2014 |
| Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are | 18 | 0.65 | 2014 |
| Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings | 5 | 0.59 | 2013 |
| C-link: a hierarchical clustering approach to large-scale near-optimal coalition formation | 5 | 0.44 | 2013 |
| Combining information theoretic kernels with generative embeddings for classification | 2 | 0.38 | 2013 |
| Feature selection using counting grids: application to microarray data | 6 | 0.49 | 2012 |
| Investigating topic models' capabilities in expression microarray data classification. | 17 | 0.70 | 2012 |
| Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images. | 3 | 0.38 | 2012 |
| Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces. | 2 | 0.44 | 2012 |
