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ORCIDFranco Maria Nardini
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- affiliation: ISTI-CNR, Pisa, Italy
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2020 – today
- 2024
[j30]Franco Maria Nardini, Roberto Trani, Rossano Venturini:
Learning bivariate scoring functions for ranking. Discov. Comput. 27(1): 33 (2024)- [j29]Sebastian Bruch
, Franco Maria Nardini, Amir Ingber, Edo Liberty:
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. ACM Trans. Inf. Syst. 42(2): 42:1-42:43 (2024) - [j28]Sebastian Bruch, Claudio Lucchese, Maria Maistro, Franco Maria Nardini:
Special Section on Efficiency in Neural Information Retrieval. ACM Trans. Inf. Syst. 42(5): 113:1-113:4 (2024) - [c88]Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Efficient Multi-vector Dense Retrieval with Bit Vectors. ECIR (2) 2024: 3-17 - [c87]Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). ICDE 2024: 5693-5694 - [c86]Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Efficient and Effective Multi-Vector Dense Retrieval with EMVB. SEBD 2024: 281-289 - [c85]Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. SIGIR 2024: 152-162 - [c84]Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch:
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. SIGIR 2024: 2261-2265 - [c83]Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, Martin Potthast:
ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR 2024: 3051-3054 - [i28]Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Efficient Multi-Vector Dense Retrieval Using Bit Vectors. CoRR abs/2404.02805 (2024) - [i27]Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch:
A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search. CoRR abs/2404.11731 (2024) - [i26]Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. CoRR abs/2404.18812 (2024) - [i25]Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini:
Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search. CoRR abs/2405.12207 (2024) - [i24]Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini:
Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. CoRR abs/2408.04443 (2024) - [i23]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Early Exit Strategies for Approximate k-NN Search in Dense Retrieval. CoRR abs/2408.04981 (2024) - [i22]Guido Rocchietti, Cristina Ioana Muntean, Franco Maria Nardini:
Enhancing Conversational Search with Large Language Models. ERCIM News 2024(136) (2024) - 2023
- [j27]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access 11: 126691-126704 (2023) - [j26]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Efficient and Effective Tree-based and Neural Learning to Rank. Found. Trends Inf. Retr. 17(1): 1-123 (2023) - [j25]Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto:
Report on the 13th Italian Information Retrieval Workshop (IIR 2023). SIGIR Forum 57(2): 8:1-8:12 (2023) - [j24]Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Distilled Neural Networks for Efficient Learning to Rank. IEEE Trans. Knowl. Data Eng. 35(5): 4695-4712 (2023) - [j23]Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini:
An Optimal Algorithm for Finding Champions in Tournament Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10197-10209 (2023) - [c82]Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM 2023: 2013-2023 - [c81]Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Can Embeddings Analysis Explain Large Language Model Ranking? CIKM 2023: 4150-4154 - [c80]Sebastian Bruch, Joel Mackenzie, Maria Maistro, Franco Maria Nardini:
ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. SIGIR 2023: 3456-3459 - [c79]Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego:
Commonsense Injection in Conversational Systems: An Adaptable Framework for Query Expansion. WI/IAT 2023: 48-55 - [c78]Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti:
Rewriting Conversational Utterances with Instructed Large Language Models. WI/IAT 2023: 56-63 - [e3]Franco Maria Nardini, Nicola Tonellotto, Guglielmo Faggioli, Antonio Ferrara:
Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), Pisa, Italy, June 8-9, 2023. CEUR Workshop Proceedings 3448, CEUR-WS.org 2023 [contents] - [e2]Franco Maria Nardini, Nadia Pisanti, Rossano Venturini:
String Processing and Information Retrieval - 30th International Symposium, SPIRE 2023, Pisa, Italy, September 26-28, 2023, Proceedings. Lecture Notes in Computer Science 14240, Springer 2023, ISBN 978-3-031-43979-7 [contents] - [i21]Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. CoRR abs/2301.10622 (2023) - [i20]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Efficient and Effective Tree-based and Neural Learning to Rank. CoRR abs/2305.08680 (2023) - [i19]Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Neural Network Compression using Binarization and Few Full-Precision Weights. CoRR abs/2306.08960 (2023) - [i18]Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia:
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR abs/2306.12165 (2023) - [i17]Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
Bridging Dense and Sparse Maximum Inner Product Search. CoRR abs/2309.09013 (2023) - 2022
- [j22]Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego:
Dynamic hard pruning of Neural Networks at the edge of the internet. J. Netw. Comput. Appl. 200: 103330 (2022) - [j21]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022. SIGIR Forum 56(2): 12:1-12:14 (2022) - [j20]Franco Maria Nardini, Roberto Trani, Rossano Venturini:
Fast Filtering of Search Results Sorted by Attribute. ACM Trans. Inf. Syst. 40(2): 40:1-40:24 (2022) - [c77]Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
Ensemble Model Compression for Fast and Energy-Efficient Ranking on FPGAs. ECIR (1) 2022: 260-273 - [c76]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
A Comprehensive Dataset for Modern Learning to Rank Solutions (Abstract). IIR 2022 - [c75]Veronica Gil-Costa, Fernando Loor, Romina Molina, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
Energy-Efficient Ranking on FPGAs through Ensemble Model Compression (Abstract). IIR 2022 - [c74]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
Interpretable Ranking Using LambdaMART (Abstract). IIR 2022 - [c73]Franco Maria Nardini, Salvatore Trani:
A Pragmatic Approach to Neural Information Retrieval. SEBD 2022: iii - [c72]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. SIGIR 2022: 2255-2259 - [c71]Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation. SIGIR 2022: 3099-3107 - [c70]Sebastian Bruch, Claudio Lucchese, Franco Maria Nardini:
ReNeuIR: Reaching Efficiency in Neural Information Retrieval. SIGIR 2022: 3462-3465 - [c69]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Context Propagation in Conversational Search Utterances Participation of the CNR Team in CAsT 2022. TREC 2022 - [i16]Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Distilled Neural Networks for Efficient Learning to Rank. CoRR abs/2202.10728 (2022) - [i15]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri:
ILMART: Interpretable Ranking with Constrained LambdaMART. CoRR abs/2206.00473 (2022) - [i14]Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Caching Historical Embeddings in Conversational Search. CoRR abs/2211.14155 (2022) - 2021
- [j19]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Adaptive utterance rewriting for conversational search. Inf. Process. Manag. 58(6): 102682 (2021) - [j18]Regis Pires Magalhães, Francesco Lettich, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso, Roberto Trani:
Speed prediction in large and dynamic traffic sensor networks. Inf. Syst. 98: 101444 (2021) - [j17]Nicola Tonellotto, Alberto Gotta, Franco Maria Nardini, Daniele Gadler, Fabrizio Silvestri:
Neural network quantization in federated learning at the edge. Inf. Sci. 575: 417-436 (2021) - [j16]Romina Molina, Fernando Loor, Veronica Gil-Costa, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
Efficient traversal of decision tree ensembles with FPGAs. J. Parallel Distributed Comput. 155: 38-49 (2021) - [j15]Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Weighting Passages Enhances Accuracy. ACM Trans. Inf. Syst. 39(2): 11:1-11:11 (2021) - [c68]Leopoldo Melo Junior, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Chiara Renso:
RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring. ICTAI 2021: 823-830 - [c67]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. SIGIR 2021: 2217-2221 - [c66]Andrea Bruno, Franco Maria Nardini, Giulio Ermanno Pibiri, Roberto Trani, Rossano Venturini:
TSXor: A Simple Time Series Compression Algorithm. SPIRE 2021: 217-223 - [c65]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021. TREC 2021 - [i13]Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Learning Early Exit Strategies for Additive Ranking Ensembles. CoRR abs/2105.02568 (2021) - [i12]Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini:
An Optimal Algorithm for Finding Champions in Tournament Graphs. CoRR abs/2111.13621 (2021) - 2020
- [j14]Tales Matos, José A. F. de Macêdo, Francesco Lettich, José Maria Monteiro, Chiara Renso, Raffaele Perego, Franco Maria Nardini:
Leveraging feature selection to detect potential tax fraudsters. Expert Syst. Appl. 145: 113128 (2020) - [j13]Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, Roberto Trani, José Antônio Fernandes de Macêdo:
A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems. Expert Syst. Appl. 152: 113351 (2020) - [j12]Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
RankEval: Evaluation and investigation of ranking models. SoftwareX 12: 100614 (2020) - [c64]Shima Moghtasedi, Cristina Ioana Muntean, Franco Maria Nardini, Roberto Grossi, Andrea Marino:
High-Quality Prediction of Tourist Movements using Temporal Trajectories in Graphs. ASONAM 2020: 348-352 - [c63]Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi:
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS 2020: 403-418 - [c62]Hanna Kavalionak, Massimo Tosato, Paolo Barsocchi, Franco Maria Nardini:
Dynamic Wi-Fi RSSI normalization in unmapped locations. EDBT/ICDT Workshops 2020 - [c61]Francesca Naretto, Roberto Pellungrini, Franco Maria Nardini, Fosca Giannotti:
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks. PKDD/ECML Workshops 2020: 501-516 - [c60]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR 2020: 49-58 - [c59]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. SIGIR 2020: 529-538 - [c58]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. SIGIR 2020: 1573-1576 - [c57]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. SIGIR 2020: 2033-2036 - [c56]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. SIGIR 2020: 2057-2060 - [c55]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020. TREC 2020 - [i11]Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Topic Propagation in Conversational Search. CoRR abs/2004.14054 (2020) - [i10]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Expansion via Prediction of Importance with Contextualization. CoRR abs/2004.14245 (2020) - [i9]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. CoRR abs/2004.14255 (2020) - [i8]Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder:
Training Curricula for Open Domain Answer Re-Ranking. CoRR abs/2004.14269 (2020) - [i7]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
Query-level Early Exit for Additive Learning-to-Rank Ensembles. CoRR abs/2004.14641 (2020) - [i6]Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego:
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet. CoRR abs/2011.08545 (2020)
2010 – 2019
- 2019
- [j11]Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. 30(9): 2075-2089 (2019) - [c54]Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo:
An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets. ICMLA 2019: 747-754 - [c53]Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José A. F. de Macêdo:
KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems. ICTAI 2019: 424-431 - [c52]Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo:
On combining dynamic selection, sampling, and pool generators for credit scoring. MLDM (2) 2019: 443-457 - [c51]Franco Maria Nardini, Roberto Trani, Rossano Venturini:
Fast Approximate Filtering of Search Results Sorted by Attribute. SIGIR 2019: 815-824 - [c50]Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto:
Enhanced News Retrieval: Passages Lead the Way! SIGIR 2019: 1269-1272 - [c49]Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke:
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR 2019: 1419-1420 - [c48]Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini:
An Optimal Algorithm to Find Champions of Tournament Graphs. SPIRE 2019: 267-273 - 2018
- [j10]Daniel Valcarce, Igo Ramalho Brilhante, José A. F. de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Item-driven group formation. Online Soc. Networks Media 8: 17-31 (2018) - [j9]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
X-CLEaVER: Learning Ranking Ensembles by Growing and Pruning Trees. ACM Trans. Intell. Syst. Technol. 9(6): 62:1-62:26 (2018) - [c47]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Roberto Trani, Rossano Venturini:
Efficient and Effective Query Expansion for Web Search. CIKM 2018: 1551-1554 - [c46]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani:
Selective Gradient Boosting for Effective Learning to Rank. SIGIR 2018: 155-164 - [p1]Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alessandra Raffaetà, Chiara Renso, Claudio Silvestri:
Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems. A Comprehensive Guide Through the Italian Database Research 2018: 407-421 - [r1]Igo Ramalho Brilhante, Franco Maria Nardini, José Antônio Fernandes de Macêdo, Raffaele Perego, Chiara Renso:
Crowdsourced Social Data for Recommending Tourist Itineraries. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j8]Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Perception of social phenomena through the multidimensional analysis of online social networks. Online Soc. Networks Media 1: 14-32 (2017) - [c45]Claudio Lucchese, Franco Maria Nardini:
Efficiency/Effectiveness Trade-offs in Learning to Rank. ICTIR 2017: 329-330 - [c44]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
The Impact of Negative Samples on Learning to Rank. LEARNER@ICTIR 2017 - [c43]Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees. HPCS 2017: 915 - [c42]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
QuickScorer: Efficient Traversal of Large Ensembles of Decision Trees. ECML/PKDD (3) 2017: 383-387 - [c41]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani:
X-DART: Blending Dropout and Pruning for Efficient Learning to Rank. SIGIR 2017: 1077-1080 - [c40]Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani:
RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. SIGIR 2017: 1281-1284 - 2016
- [j7]Gabriele Capannini, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto:
Quality versus efficiency in document scoring with learning-to-rank models. Inf. Process. Manag. 52(6): 1161-1177 (2016) - [j6]Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Fast Ranking with Additive Ensembles of Oblivious and Non-Oblivious Regression Trees. ACM Trans. Inf. Syst. 35(2): 15:1-15:31 (2016) - [c39]Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis. ASONAM 2016: 1270-1277 - [c38]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Gabriele Tolomei:
Learning to Rank User Queries to Detect Search Tasks. ICTIR 2016: 157-166 - [c37]Andrea Gigli, Claudio Lucchese, Franco Maria Nardini, Raffaele Perego:
Fast Feature Selection for Learning to Rank. ICTIR 2016: 167-170 - [c36]Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
GPU-based Parallelization of QuickScorer to Speed-up Document Ranking with Tree Ensembles. IIR 2016 - [c35]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
Post-Learning Optimization of Tree Ensembles. IIR 2016 - [c34]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Speeding-up Document Scoring with Tree Ensembles using CPU SIMD Extensions. IIR 2016 - [c33]Cristina Ioana Muntean, Franco Maria Nardini, Anastasios Noulas:
Understanding Human Mobility During Events in Foursquare. IIR 2016 - [c32]Chiara Renso, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Raffaele Perego, Igo Ramalho Brilhante:
User-Item Group Formation with GroupFinder. IIR 2016 - [c31]Igo Ramalho Brilhante, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Raffaele Perego, Chiara Renso:
Group Finder: An Item-Driven Group Formation Framework. MDM 2016: 8-17 - [c30]Domenico Dato, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Ranking Documents Effciently with QuickScorer. SEBD 2016: 166-173 - [c29]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini:
Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles. SIGIR 2016: 833-836 - [c28]Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani:
Post-Learning Optimization of Tree Ensembles for Efficient Ranking. SIGIR 2016: 949-952 - [e1]Giorgio Maria Di Nunzio, Franco Maria Nardini, Salvatore Orlando:
Proceedings of the 7th Italian Information Retrieval Workshop, Venezia, Italy, May 30-31, 2016. CEUR Workshop Proceedings 1653, CEUR-WS.org 2016 [contents] - [i5]Mauro Coletto, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Andrea Esuli, Chiara Renso, Raffaele Perego:
Sentiment-enhanced Multidimensional Analysis of Online Social Networks: Perception of the Mediterranean Refugees Crisis. CoRR abs/1605.01895 (2016) - [i4]Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Salvatore Orlando, Rossano Venturini:
Fast Traversal of Large Ensembles of Regression Trees. ERCIM News 2016(107) (2016) - 2015
- [j5]