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Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
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In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022)
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A Portable Sign Language Collection and Translation Platform with Smart Watches Using a BLSTM-Based Multi-Feature Framework
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In: Micromachines; Volume 13; Issue 2; Pages: 333 (2022)
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American Sign Language Words Recognition of Skeletal Videos Using Processed Video Driven Multi-Stacked Deep LSTM
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In: Sensors; Volume 22; Issue 4; Pages: 1406 (2022)
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| 4 |
Phonemic interference in short-term memory contributes to forgetting but is not due to overwriting
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In: Test Series for Scopus Harvesting 2021 (2022)
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| 5 |
Deep Learning Methods for Human Behavior Recognition
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Lu, Jia. - : Auckland University of Technology, 2021
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| 6 |
Auditory and visual short-term memory: Influence of material type, contour, and musical expertise
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In: ISSN: 0340-0727 ; EISSN: 1430-2772 ; Psychological Research ; https://hal.archives-ouvertes.fr/hal-03384372 ; Psychological Research, Springer Verlag, In press, ⟨10.1007/s00426-021-01519-0⟩ (2021)
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| 7 |
Learning emotions latent representation with CVAE for Text-Driven Expressive AudioVisual Speech Synthesis
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In: ISSN: 0893-6080 ; Neural Networks ; https://hal.inria.fr/hal-03204193 ; Neural Networks, Elsevier, 2021, 141, pp.315-329. ⟨10.1016/j.neunet.2021.04.021⟩ (2021)
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| 8 |
Research compendium for Montero-Melis et al. (2021) "No evidence for embodiment: The motor system is not needed to keep action words in working memory" (Cortex) ...
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| 9 |
Cross-cultural cognitive assessment of dementia: a meta-analysis of the impact of illiteracy on dementia screening and an evaluation of a transcultural short-term memory assessment ...
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| 11 |
Human Gait Phase Recognition in Embedded Sensor System
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Liu, Zhenbang. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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| 12 |
Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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| 13 |
Dynamic gesture classification of American Sign Language using deep learning
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| 14 |
Asm2Seq: Explainable Assembly Code Functional Summary Generation
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Abstract:
Technology is at the forefront of nearly every aspect of the modern world. Humans write code for technology to function as we desire, but often times little is understood about the code needed to control the computer without significant human analysis. This research aims to bridge this gap by producing human-readable summarizations of the functionality of the assembly code needed for computer execution. Vulnerability datasets are used as starting datasets on the model because finding and understanding vulnerabilities in a program are important for software maintenance, software anal- ysis, and software development. Source code files exhibiting various vulnerabilities are compiled to produce their assembly code counterparts and used as input to the model. Descriptions of how the vulnerabilities function are extracted from the source code files and used as the desired output for the model. Various neural network architectures make up the encoder-decoder experiments to determine the best model. Each experiment undergoes significant training in order to produce accurate predictions. Attention was added in order to understand what aspects of the assembly code had the biggest effect on generating the summary. The models produced high rates of accuracy and Bilingual Evaluation Understudy (BLEU) score, which are both indicative of a well performing network. Comparisons between model predictions and the true descriptions showcase the favorable results. ; M.Sc.
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Keyword:
Asm2Seq; Assembly; Attention; Code Summary; Gated Recurrent Unit; Long Short-Term Memory; Machine Learning; Sequence-to-Sequence Learning; Summary Generation
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URL: http://hdl.handle.net/1974/28870
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| 15 |
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
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In: Graduate Theses and Dissertations (2021)
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| 16 |
Cross-cultural cognitive assessment of dementia: a meta-analysis of the impact of illiteracy on dementia screening and an evaluation of a transcultural short-term memory assessment
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| 17 |
The Effect of Language Recognition in Music on Short-Term Memory Recall and Physiological Stress Response
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| 18 |
The relationship between cognitive ability and BOLD activation across sleep–wake states
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In: Brain and Mind Institute Researchers' Publications (2021)
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| 19 |
Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches
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In: Electronic Thesis and Dissertation Repository (2021)
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| 20 |
Tipo de erro e nível socioeconômico em tarefa de repetição de não palavras ; Type of error and socioeconomic status in non-word repetition task
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