| GAM Forest Explanation | 0 | 0.34 | 2023 |
| Learning Early Exit Strategies for Additive Ranking Ensembles | 0 | 0.34 | 2021 |
| Query-level Early Exit for Additive Learning-to-Rank Ensembles | 0 | 0.34 | 2020 |
| Treant: Training Evasion-Aware Decision Trees | 1 | 0.37 | 2020 |
| Enriching Documents by Linking Salient Entities and Lexical-Semantic Expansion | 0 | 0.34 | 2020 |
| Topic Models And Fusion Methods: A Union To Improve Text Clustering And Cluster Labeling | 1 | 0.35 | 2019 |
| X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. | 0 | 0.34 | 2018 |
| Do Violent People Smile: Social Media Analysis of their Profile Pictures. | 0 | 0.34 | 2018 |
| Manycore GPU processing of repeated range queries over streams of moving objects observations. | 0 | 0.34 | 2017 |
| X-DART: Blending Dropout and Pruning for Efficient Learning to Rank | 6 | 0.45 | 2017 |
| Ranking Documents Effciently with QuickScorer. | 0 | 0.34 | 2016 |
| TPRED: a Spatio-Temporal Location Predictor Framework. | 1 | 0.35 | 2016 |
| Quality versus efficiency in document scoring with learning-to-rank models. | 16 | 0.85 | 2016 |
| Post-Learning Optimization of Tree Ensembles. | 0 | 0.34 | 2016 |
| SEL: A Unified Algorithm for Entity Linking and Saliency Detection. | 3 | 0.39 | 2016 |
| GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. | 0 | 0.34 | 2016 |
| Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. | 12 | 0.57 | 2016 |
| Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. | 12 | 0.82 | 2016 |
| Speeding up Document Ranking with Rank-based Features | 4 | 0.40 | 2015 |
| Electoral Predictions with Twitter: A Machine-Learning approach. | 4 | 0.45 | 2015 |
| QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees | 27 | 1.61 | 2015 |
| Improving Clustering Quality By Automatic Text Summarization | 0 | 0.34 | 2015 |
| Processing streams of spatial k-NN queries and position updates on manycore GPUs. | 3 | 0.39 | 2015 |
| A wait-free output data structure for GPU-based streaming query processing | 0 | 0.34 | 2015 |
| Mining condensed spatial co-location patterns. | 0 | 0.34 | 2015 |
| QuickRank : A C++ suite of learning to rank algorithms | 1 | 0.35 | 2015 |
| Xylem: The Code of Plants. | 1 | 0.37 | 2014 |
| GPU-Based Computing of Repeated Range Queries over Moving Objects | 10 | 0.50 | 2014 |
| Software verification games: Designing Xylem, The Code of Plants. | 6 | 0.51 | 2014 |
| A Unifying Framework for Mining Approximate Top- Binary Patterns | 3 | 0.37 | 2014 |
| Dexter: an open source framework for entity linking | 34 | 1.47 | 2013 |
| Modeling and predicting the task-by-task behavior of search engine users | 5 | 0.44 | 2013 |
| SEED: a framework for extracting social events from press news | 2 | 0.35 | 2013 |
| Learning relatedness measures for entity linking | 14 | 0.80 | 2013 |
| Query Processing in Highly-Loaded Search Engines | 1 | 0.35 | 2013 |
| A measurement-based ageing analysis of the JVM. | 16 | 0.60 | 2013 |
| Discovering tasks from search engine query logs | 26 | 0.90 | 2013 |
| Similarity caching in large-scale image retrieval | 9 | 0.56 | 2012 |
| gpuDCI: Exploiting GPUs in Frequent Itemset Mining | 11 | 0.59 | 2012 |
| Compiling CHR to parallel hardware | 4 | 0.53 | 2012 |
| Caching query-biased snippets for efficient retrieval | 16 | 0.56 | 2011 |
| Visual Mobility Analysis using T-Warehouse | 13 | 0.66 | 2011 |
| Parallel and distributed data management | 0 | 0.34 | 2010 |
| T-Warehouse: Visual OLAP analysis on trajectory data | 13 | 0.63 | 2010 |
| The Sicilian Grid Infrastructure for High Performance Computing | 1 | 0.42 | 2010 |
| Mining Top-K Patterns from Binary Datasets in Presence of Noise | 22 | 1.00 | 2010 |
| Detecting Task-Based Query Sessions Using Collaborative Knowledge | 0 | 0.34 | 2010 |
| Mining@home: toward a public-resource computing framework for distributed data mining | 2 | 0.36 | 2010 |
| Visual OLAP analysis on network constrained trajectories (Extended Abstract). | 0 | 0.34 | 2010 |
| A generative pattern model for mining binary datasets | 3 | 0.42 | 2010 |
