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A Bibliometric Analysis of Plant Disease Classification with Artificial Intelligence using Convolutional Neural Network
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In: Library Philosophy and Practice (e-journal) (2021)
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Determining Tone of a Body of Text
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In: Senior Projects Spring 2020 (2020)
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Self-supervised learning to detect key frames in videos
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In: Research outputs 2014 to 2021 (2020)
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Understanding Event Structure in Text
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In: FIU Electronic Theses and Dissertations (2020)
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Interactive Virtual Training: Implementation for Early Career Teachers to Practice Classroom Behavior Management
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In: FIU Electronic Theses and Dissertations (2020)
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Graphemics in the 21st Century 2018. Proceedings
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In: Graphemics in the 21st Century 2018 ; https://hal.archives-ouvertes.fr/hal-02383630 ; Graphemics in the 21st Century 2018, Jun 2018, Brest, France. 1, Fluxus Editions, pp.410, 2019, Grapholinguistics and Its Applications, 9782957054909 ; http://www.fluxus-editions.fr/gla1.php (2019)
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Adaptation and Implementation of the ISO42010 Standard to Software Design and Modeling Tools
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In: Model-Driven Engineering and Software Development. MODELSWARD 2018, Communications in Computer and Information Science ; https://hal-cea.archives-ouvertes.fr/cea-02572737 ; Model-Driven Engineering and Software Development. MODELSWARD 2018, Communications in Computer and Information Science, pp.236-258, 2019, ⟨10.1007/978-3-030-11030-7_11⟩ (2019)
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An LSTM-Based Neural Network Architecture for Model Transformations
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In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS) ; https://hal-cea.archives-ouvertes.fr/cea-02572669 ; 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), Sep 2019, Munich, Germany. pp.294-299, ⟨10.1109/MODELS.2019.00013⟩ (2019)
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Preface to MDE Intelligence 2019: 1st Workshop on Artificial Intelligence and Model-Driven Engineering
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In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) ; https://hal-cea.archives-ouvertes.fr/cea-02572659 ; 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Sep 2019, Munich, Germany. pp.168-169, ⟨10.1109/MODELS-C.2019.00028⟩ (2019)
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| 10 |
The Future of Model Transformation Languages: An Open Community Discussion.
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In: ISSN: 1660-1769 ; The Journal of Object Technology ; https://hal-cea.archives-ouvertes.fr/cea-02572743 ; The Journal of Object Technology, Chair of Software Engineering, 2019, 18 (3), pp.7:1. ⟨10.5381/jot.2019.18.3.a7⟩ (2019)
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A Model Driven Tool for Requirements and Hardware Engineering
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In: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) ; https://hal-cea.archives-ouvertes.fr/cea-02572673 ; 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Sep 2019, Munich, Germany. pp.769-773, ⟨10.1109/MODELS-C.2019.00120⟩ (2019)
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On the Need for Intellectual Property Protection in Model-Driven Co-Engineering Processes
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In: International Conference on Evaluation and Modeling Methods for Systems Analysis and Development ; https://hal-cea.archives-ouvertes.fr/cea-02572729 ; International Conference on Evaluation and Modeling Methods for Systems Analysis and Development, Jun 2019, Rome, Italy. pp.169-177, ⟨10.1007/978-3-030-20618-5_12⟩ ; https://www.emmsad.org/2019-program (2019)
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| 13 |
Belief Uncertainty in Software Models
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In: 2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE) ; https://hal-cea.archives-ouvertes.fr/cea-02572731 ; 2019 IEEE/ACM 11th International Workshop on Modelling in Software Engineering (MiSE), May 2019, Montreal, Canada. pp.19-26, ⟨10.1109/MiSE.2019.00011⟩ (2019)
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| 14 |
Developing 5GL Concepts from User Interactions
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In: Masters Theses (2019)
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| 15 |
Artificial Intelligence and Reliability of Accounting Information
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In: Lecture Notes in Computer Science ; 17th Conference on e-Business, e-Services and e-Society (I3E) ; https://hal.inria.fr/hal-02274162 ; 17th Conference on e-Business, e-Services and e-Society (I3E), Oct 2018, Kuwait City, Kuwait. pp.315-324, ⟨10.1007/978-3-030-02131-3_28⟩ (2018)
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| 16 |
The 3D indoor deployment in DL-IoT with experimental validation using a particle swarm algorithm based on the dialects of songs
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In: Proceedings of IWCMC 2018 ; 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018) ; https://hal.archives-ouvertes.fr/hal-02883831 ; 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018), Jun 2018, Limassol, Cyprus. pp.928-933, ⟨10.1109/IWCMC.2018.8450473⟩ (2018)
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| 17 |
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents
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In: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence ; https://hal.inria.fr/hal-01931497 ; IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain (2018)
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| 18 |
Cognifying Model-Driven Software Engineering
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In: Software Technologies: Applications and Foundations ; https://hal-cea.archives-ouvertes.fr/cea-02572650 ; Software Technologies: Applications and Foundations, pp.154-160, 2018, ⟨10.1007/978-3-319-74730-9_13⟩ (2018)
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| 19 |
Architectures for Real-Time Automatic Sign Language Recognition on Resource-Constrained Device
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In: UNF Graduate Theses and Dissertations (2018)
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ImproteK: introducing scenarios into human-computer music improvisation
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In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017)
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Abstract:
International audience ; This article focuses on the introduction of control, authoring, and composition in human-computer music improvisation through the description of a guided music generation model and a reactive architecture, both implemented in the software ImproteK. This interactive music system is used with expert improvisers in work sessions and performances of idiomatic and pulsed music, and more broadly in situations of structured or composed improvisation. The article deals with the integration of specifications in the music generation process by means of a fixed or dynamic "scenario", and addresses the issue of the dialectic between reactivity and planning in interactive music improvisation. It covers the different levels involved in the machine improvisation: the integration of anticipation relative to a predefined structure in a guided generation process at a symbolic level, an architecture combining this anticipation with reactivity using mixed static/dynamic scheduling techniques, and an audio rendering module performing live re-injection of captured material in synchrony with a non-metronomic beat. Finally, it sketches a framework to compose improvisation sessions at the scenario level, extending the initial musical scope of the system. All these points are illustrated by videos of performances or work sessions with musicians.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]; [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts; Abstraction; ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.4: Real-time systems and embedded systems; ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.3: Pattern matching; ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g.; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.1: Intelligent agents; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.8: Problem Solving; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models/I.5.1.5: Structural; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.1: Signal processing; and processing; and Search/I.2.8.4: Heuristic methods; Combinatorics on words; Control Methods; HCI)/H.5.5: Sound and Music Computing/H.5.5.1: Modeling; HCI)/H.5.5: Sound and Music Computing/H.5.5.2: Signal analysis; HCI)/H.5.5: Sound and Music Computing/H.5.5.3: Systems; Heuristic function construction; Intelligent agents; Markov processes; modeling and modularity; Modeling methodologies; Motif discovery; Music retrieval; Performing arts; Planning under uncertainty; Real-time system architecture; Sound and music computing; Symbolic and algebraic algorithms; synthesis
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URL: https://hal.archives-ouvertes.fr/hal-01380163/file/ACM-CiE_ImproteK_Nika-et-al_2017.pdf
https://doi.org/10.1145/3022635
https://hal.archives-ouvertes.fr/hal-01380163/document
https://hal.archives-ouvertes.fr/hal-01380163
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