Výsledky vyhľadávania - "TONELLOTTO, NICOLA"

FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers' Emotion Recognition.

Autori: BANO, SAIRA TONELLOTTO, NICOLA CASSARÀ, PIETRO a ďalší

Zdroj: ACM Transactions on Intelligent Systems & Technology; Jun2024, Vol. 15 Issue 3, p1-27, 27p

Predmety: EMOTION recognition, FEDERATED learning, FACIAL expression, EMOTIONAL state, EMOTIONS

Personalized Query Expansion with Contextual Word Embeddings.

Autori: BASSANI, ELIAS TONELLOTTO, NICOLA PASI, GABRIELLA

Zdroj: ACM Transactions on Information Systems; Mar2024, Vol. 42 Issue 2, p1-35, 35p

Caching Historical Embeddings in Conversational Search.

Autori: Frieder, Ophir Mele, Ida Muntean, Cristina Ioana a ďalší

Zdroj: ACM Transactions on the Web; Nov2024, Vol. 18 Issue 4, p1-19, 19p

Predmety: SEMANTICS, MOTIVATION (Psychology), CONFERENCES & conventions

Chapter 5: Impact-Sorted Indexes: 5.2: Query Processing.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p421-426, 6p

Predmety: SEARCH algorithms, HUFFMAN codes, INVERTED indexes, INFORMATION retrieval, ACCUMULATORS (Machinery)

An Intelligent system for the categorization of question time official documents of the Italian Chamber of Deputies.

Autori: Cavalieri, A. Ducange, Pietro Fabi, S. a ďalší

Zdroj: Journal of Information Technology & Politics; Jul-Sep2023, Vol. 20 Issue 3, p213-234, 22p, 1 Diagram, 10 Charts, 3 Graphs

Predmety: DEEP learning, MACHINE learning, POLITICAL participation, POLITICAL science

Geografický termín: ITALY

ColBERT-PRF: Semantic Pseudo-Relevance Feedback for Dense Passage and Document Retrieval.

Autori: XIAO WANG MACDONALD, CRAIG TONELLOTTO, NICOLA a ďalší

Zdroj: ACM Transactions on the Web; Feb2023, Vol. 17 Issue 1, p1-39, 39p

Predmety: INFORMATION retrieval, LANGUAGE models

Performance Evaluation of Federated Learning for Residential Energy Forecasting.

Autori: Petrangeli, Eugenia Tonellotto, Nicola Vallati, Carlo

Zdroj: Internet of Things (IoT); Sep2022, Vol. 3 Issue 3, p381-397, 17p

Predmety: ENERGY consumption, LOAD forecasting (Electric power systems), EDGE computing, PREDICTION models, QUALITY of service

Chapter 6: Learning-to-Rank and Cascades: 6.3: Application of Learning-to-Rank Models.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p439-453, 15p

Predmety: MACHINE learning, INFORMATION storage & retrieval systems, LINEAR models (Communication), ARTIFICIAL neural networks, SEARCH algorithms

Chapter 5: Impact-Sorted Indexes: 5.1: Data Structures.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p418-421, 4p

Predmety: DATA structures, INVERTED indexes, INFORMATION retrieval, VECTOR spaces, QUANTIZATION (Physics)

Chapter 3: Dynamic Pruning Query Processing: 3.2: TAAT Optimisations.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p367-374, 8p

Predmety: SEARCH algorithms, INFORMATION storage & retrieval systems, ACCUMULATORS (Machinery), INDEXING, AUTOMATION of records management

Author Index.

Zdroj: 2014 International Conference on Intelligent Networking & Collaborative Systems; 2014, p737-740, 4p

Design of Fault-Tolerant Distributed Cyber–Physical Systems for Smart Environments.

Autori: Cassano, Luca Miele, Antonio Mione, Francesco a ďalší

Zdroj: IEEE Embedded Systems Letters; Jun2022, Vol. 14 Issue 2, p79-82, 4p

Workshop on large-scale and distributed systems for information retrieval (LSDS-IR 2013)

Autori: Altıngövde, İsmail Sengör Macdonald, Craig Tonellotto, Nicola

Relation: 84874283768; https://hdl.handle.net/11511/57422

Dostupnosť: https://hdl.handle.net/11511/57422
https://doi.org/10.1145/2433396.2433505

Using an Inverted Index Synopsis forQuery Latency and Performance Prediction.

Autori: TONELLOTTO, NICOLA MACDONALD, CRAIG

Zdroj: ACM Transactions on Information Systems; 2020, Vol. 38 Issue 3, p1-33, 33p

Predmety: FORECASTING, SEARCH engines, PRUNING

Parallel Traversal of Large Ensembles of Decision Trees.

Autori: Lettich, Francesco Lucchese, Claudio Nardini, Franco Maria a ďalší

Zdroj: IEEE Transactions on Parallel & Distributed Systems; Sep2019, Vol. 30 Issue 9, p2075-2089, 15p

Predmety: ON-demand computing, DECISION trees, RANDOM forest algorithms, WEB search engines, QUERY (Information retrieval system), TIME management, REGRESSION trees, PARALLEL algorithms, DATA structures

Chapter 3: Dynamic Pruning Query Processing: 3.3: DAAT Optimisations.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p374-387, 14p

Predmety: SEARCH algorithms, INFORMATION storage & retrieval systems, INDEXING, AUTOMATION of records management, ACCUMULATORS (Machinery)

Chapter 4: Query Efficiency Prediction for Dynamic Pruning: 4.3: Query Efficiency Prediction Applications.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p405-414, 10p

Predmety: QUERY (Information retrieval system), SEARCH engines, SEARCH algorithms, SERVICE level agreements, INFORMATION storage & retrieval systems

Chapter 7: Open Directions and Conclusions: 7.3: Energy Efficiency.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p457-460, 4p

Predmety: ENERGY consumption, WEB search engines, SEARCH algorithms, SUSTAINABILITY

Reviews & Products: BING (Web resource)

Chapter 6: Learning-to-Rank and Cascades: 6.2: Feature Calculation in Learning-to-Rank.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p433-439, 7p

Predmety: MACHINE learning, SEARCH algorithms, LOSS functions (Statistics), UNIFORM Resource Locators, INVERTED indexes

Chapter 1: Introduction.

Autori: Tonellotto, Nicola Macdonald, Craig Ounis, Iadh

Zdroj: Foundations & Trends in Information Retrieval; 2018, Vol. 12 Issue 4/5, p324-330, 7p

Predmety: SEARCH engines, SEARCH algorithms, INFORMATION retrieval