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Optimal alphabet for single text compression ...
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A novel source-filter stochastic model for voice production
In: ISSN: 0892-1997 ; Journal of Voice ; https://hal-upec-upem.archives-ouvertes.fr/hal-03179837 ; Journal of Voice, Elsevier, 2021, In Press, pp.1-11. ⟨10.1016/j.jvoice.2020.11.015⟩ (2021)
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Writing At the Horizon: How Producing Imagined Narratives Affects Mood
In: Senior Projects Fall 2021 (2021)
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Symbolic Model-based Design and Generation of Logical Scenarios for Autonomous Vehicles Validation
In: 2021 IEEE Intelligent Vehicles Symposium (IV) ; https://hal.archives-ouvertes.fr/hal-03540190 ; 2021 IEEE Intelligent Vehicles Symposium (IV), Jul 2021, Nagoya, Japan. pp.215-222, ⟨10.1109/IV48863.2021.9575528⟩ (2021)
Abstract: International audience ; Finding comprehensive and relevant scenarios is a major challenge for autonomous vehicles validation and SOTIF. A functional scenario, e.g. a cut-in, encloses many concrete variations. Formal methods help covering an intermediate level of scenario families, called logical, and capitalizing them in a scenario database. Families are generated from discrete and modular symbolic models through a new subsumption criterion which allows the identification of scenario suffixes which are redundant and eliminate them during the generation. The generation, including the implementation of the subsumption criterion, benefits from: i) the compact representation of models thanks to discretization and symbolic arithmetic, ii) dedicated symbolic execution techniques. Analysis is performed to verify how the generated scenarios cover real situations by confronting them to time series from the modeled system and identify potential gaps in the model. We formally define our approach, implement it in the symbolic execution tool DIVERSITY. Assessment is carried out on a real autopilot black box module from the project 3SA.
Keyword: [INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]; [INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]; [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis; Advanced Driver Assistance Systems; Analytical models; Redundancy; Self-Driving Vehicles; Statistics and Probability [physics.data-an]; Time series analysis
URL: https://doi.org/10.1109/IV48863.2021.9575528
https://hal.archives-ouvertes.fr/hal-03540190
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5
Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
In: https://hal.archives-ouvertes.fr/hal-03258523 ; 2021 (2021)
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6
Neural Network Reconstruction of Late-Time Cosmology and Null Tests ...
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7
Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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8
The Fundamental Limit Theorem of Countable Markov Chains
In: Senior Honors Theses (2021)
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9
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
Chou, Hsiao-Chuan. - : Digital Commons @ University of South Florida, 2021
In: Graduate Theses and Dissertations (2021)
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10
Free Energy: A User's Guide
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11
Information flow, artificial phonology and typology
In: Proceedings of the Society for Computation in Linguistics (2021)
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12
Heaps' law and Heaps functions in tagged texts: Evidences of their linguistic relevance ...
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Predictive Validity of Standards-based and Curriculum-embedded Assessments for Predicting Readiness at Kindergarten Entry
DeCamilla, Elizabeth Ashton. - : Digital Commons @ University of South Florida, 2020
In: Graduate Theses and Dissertations (2020)
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14
Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory ...
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15
The brevity law as a scaling law, and a possible origin of Zipf's law for word frequencies ...
Corral, Alvaro; Serra, Isabel. - : arXiv, 2019
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Multilabel text classification of public procurements using deep learning intent detection ; Textklassificering av offentliga upphandlingar med djupa artificiella neuronnät och avsåtsdetektering
Suta, Adin. - : KTH, Matematisk statistik, 2019
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LSTM vs Random Forest for Binary Classification of Insurance Related Text ; LSTM vs Random Forest för binär klassificering av försäkringsrelaterad text
Kindbom, Hannes. - : KTH, Matematisk statistik, 2019
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18
The flow of ideologies between a political figure and a militant community: a CMC corpora analysis
In: 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora ; https://hal.archives-ouvertes.fr/hal-01872152 ; 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora, Sep 2018, Anvers, Belgium (2018)
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19
Statistical Physics of Language Maps in the USA ...
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20
Telling apart Felidae and Ursidae from the distribution of nucleotides in mitochondrial DNA ...
Rovenchak, Andrij. - : arXiv, 2018
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