3 Chaoxing Huang A Study on the Application of Bimodal Distribution Removal on Anger Veracity Recognition
4 Xintao Xiang Convolutional vs. Linear Constructive Cascade Network for Facial Expression in the Wild
5 Haonan Zhang Detecting emotion by pupillary response
6 Chen Neural Networks to the Question: Are You Really Angry?
7 Angus Wickham Classification of manipulated and unmanipulated images using human eye gazing data with a feedforward network, using pruning techniques
8 Xiaoshi Lu Detecting genuine and posed angry emotions by pupil parameters with shallow neural network and recurrent neural network
9 Ruitao Leng Towards Facial Expression Recognition: Neural Networks with Bimodal Distribution Removal and Convolution Neural Networks
10 Hao Che Evaluation of A Convolutional Neural Network System on Emotion Recognition
11 Yan Yang Depression Level Detection By Casper
12 Yukun Hao Binary Classifier of an Eye-tracking Data Set: Implementation an Artificial Neural Network Classifier and Improve it Using Threshold Techniques
13 Jiaxu Liu Facial Emotion Classification in SFEW Database Based on Hierarchical CNN with Bidirectionality and Data Augmentation
14 Yanlong Li Classification face emotion by using LPQ and PHOG with Neural Network and compare with Decision Tree and Maximum Likilihood
15 Stavros Dimos Anger Classification with Threshold Manipulation
16 Ziang Xu Anger Detection Analysis By Bimodal Distribution Removal Neural Network Model
17 Samyak Jain Network Reduction Technique for Classifying Faces-Emotion
18 Yijian Fan Using the distinctiveness for network reduction in an information visualisation classification
19 Cai Yang Classify Anger Veracity from Pupillary Responses: Exploring Different Methods on Time Series Prediction using Casper and LSTM
20 Rizqi Ekoputris Faces Expression Detection with BiDirectional Neural Networks (BDNN) and Class Prototypes
21 Boyuan Zheng Distinctiveness Pruning Based on Simple Neural Network
22 Chaoyin Chen Exploring factors affecting facial expression classification performance with transferred deep neural network
24 Yihui Zheng The Application of the Bimodal Distribution Removal Technique on the Neural Network in Human Eye Gaze Pattern Recognition
25 Lei Wang Application of Bimodal Distribution Removal (BDR) to Neural Network for Human Eye Gaze Pattern Recognition
26 Atigun Treekutpan You Are What You Input: Using Feature Selection Techniques to Improve Performance of a Binary Classification Neural Network
27 Tianhao Zhao Feature selection models for detecting depression levels based on Brute force analysis
28 Yufei Lu Image compression and classification using 3-layer neural network and application of SVD
29 Weifan Jiang Real Anger Detection using Neural Network with Compression
30 Peilin Li Predict readers’ native language with Neural Network and evaluate strength of correlation of each feature with output
31 Zixuan Zheng Experiment on the using evolutionary algorithm for neural network’s input features selection and parameter optimization - using UNSW COMP1111 mark dataset
32 Jialei Zhang Neural Network with Bimodal Distribution Removal on SFEW dataset
33 Yadu Krishna Choyi Network reduction technique based on distinctiveness
34 Zhouyang Jiang Classifying Target Page Position by a Neural Network with Explanation Mechanisms
36 Siqi Cui Bimodal Distribution Removal in Neural Network for Eye Gaze Recognition
37 Sukai Huang Predicting Image Manipulation by Human Eye Gaze Dataset Using 3 layer MLP with Network Pruning based on Distinctiveness
38 Xuyang Shen Feature Selection on Thermal-stress Dataset
39 Xinqi Zhu Genetic Algorithm for Hyperparameter Tuning - Maximizing Convergence Speed and Ability
40 Kangjie Yin Classifying screen size from eye gaze search data: Neural network construction and threshold boundaries determination
41 Shuqiang Jiang u6281911_Optimisation of the Artificial Neural network for Snippet Length Classification
42 James Mills-Thom Extracting rules for the identification of manipulated versus unmanipulated digital images
43 Dashiell van Wyk Classifying posed vs genuine observed anger and an investigation into the application of distinctiveness-based network pruning
44 Jun Han Information Visualisation Analysis based on Neural Network Model With Bimodal Distribution Removal technology
45 Aidan Sawers Disentangled Variational Autoencoders applied to Fuzzing Corpus Minimisation
46 Jun Yang The Analysis of An Eye-tracking Experiment Based on Deep Neural Network and Genetic Algorithm
47 Kyn Keat Joshua Liow M-learning preferences through Data Encoding
48 Pengqi Wang Bidirectional Neural Network and Convolutional Neural Network Used for Faces-Emotion Multi-Classification
49 Chao Liu Face Emotion Classification and Recognition using Convolutional Neural Network
50 Eric Hall Detecting Depression with Constructive Cascade Networks
51 Fredrik Lastow Static Facial Expression Recognition Using Artificial Neural Networks
52 Gengliang Li Feed-Forward Neural Net For Static Facial Expression: Construction and Accuracy Improvement by Varying Threshold Probability
53 Chen Yang Comparing performance between RNN & typical NN on detecting human anger by pupils
54 Tao Xu Using data pre-processing technique to improve depression level prediction
55 Ya Ting Wang Training a Neuron Network with Limited Experiment Data and Hidden Neurons
56 Qichang Li Change of performance of Neural Network using Feature selection
58 Sankhya Singh Stress recognition through Neural network
59 Idris Mustafa Chatriwala Pruning Methods based on Neuron Behaviour
60 Junxian Liu LSTM Approach for Emotion Classification Based on Pupillary Response
61 Yun Chao Improving Machine Learning's Ability to Determine the Authenticity of the Anger Facial Expression
62 Zijian Li Finding the pattern between picture reading status and accuracy of distinguishing the manipulated images
63 Chunze Fu Emotion Classification and Input Encoding Technique Analysis using SFEW Dataset
64 Jonathan Roberts Pruned Neural Networks Predicting Visualisation Interfaces by Pupil Data
65 Yuzhou Chen A Lightweight Feed-forward Neural Net For Human Eye Gaze Pattern Recognition
66 Gao Yuchen Improve Neural Networks with Hyperparameters Optimization and Pruning with Distinctiveness
67 Dingyi Wang Comparison of Maximum Likelihood Classification Method with Artificial Neural Network on Static Facial Expressions in the Wild Dataset
68 Ruikai Cui Bidirectional Residual Declarative Network: A Deep Learning Framework for Robust Facial Expression Recognition
69 Kuan-Hao Chao Linguistic petrographical data porosity categorization with three-layer bidirectional neural network
70 Peiqing Yang Anger Authenticity Classification Using LSTM Networks
71 Cen Dai Input Analysis of Static Facial Expression in Wild Dataset
72 Xiao Jiang Language User Prediction Using Neural Network with Bimodal Distribution Removal Algorithm and Genetic Algorithm
73 Yousong Zeng Construct a neural network to classify geological structures as porosity and explain the neural network structure
74 Hao Wen Using Casper algorithm detect real angry emotion
75 Ruimin Chu Feature Selection with Neural Network for Depression Level classification
76 Alexander Lawrence Analysis of Bimodal Distribution Removal for Mark Prediction
77 Nutthadech Banditakkarakul Using Neural Networks with a Feature Selection Technique to Differentiate Genuine from Posed Anger
78 Tony Zhong The Application of Constructive Cascade Neural Networks in Detecting Genuine/Posed Anger
79 Tian Luan Facial expression classification and progressive image compression technology application based on SFEW database
80 Jiazong Gong Face Emotion Recognition on Features with Dimensionality Reduction
81 Xueyuan Tang Deception Detection using Neural Network with Bimodal Distribution Removal and Genetic Algorithm
82 Ruiyi Sun Binary Classification Model for Eye Gaze: Tuning Parameter for Shallow Neural Network with 3-Layer Structure
83 Quning Zhu Predicted the authenticity of anger through LSTMs and three-layer neural network and explain result by causal index and characteristic input pattern
84 Yongchao Lyu Evaluating and Improving the Network Reduction Technology on the Artificial Neural Networks Optimised by the Genetic Algorithm
85 Mason Dong Mark prediction with Neural network and Network Reduction technique
86 Siwei Wu Classifying Tree Types from Augmented GIS Data Comparing Unidirectional with Bidirectional Neural Network
87 Utkarsh Marwaha The Implementation of Bimodal Distribution Removal on Neural Network & Experiment on Marks Prediction Dataset
88 Zhiyuan Chen Fantastic Neural Networks and how to train them
89 Yue Ma Mark Prediction and Sensitivity Analysis
90 Prateek Arora Implementing Genetic algorithm with the bimodal distribution on Comp 1111 dataset
91 Chao Lu The influence of screen size of smart phone on user’s searching performance
92 Rohan Song Effect of data encoding and preprocessing on neural network classification and aggregation
93 Lanqin Yuan Contribution Network Reduction for Depression Classification Using Summarised Time Series Data
96 Feier Xiao Artificial Neural Network with Bimodal Distribution Removal on Student Academic Performance Prediction
97 Zhijie Guo Emotion classification base on facial expression features
98 Fengdan Cui Facial Expressions Classification by BDNN and CNN
99 Guang Zhu Use of the Distinctiveness of Hidden Units to Optimize the Characterization of Core Porosity
100 Cheng Chen Is it possible to guess the question in a web search
101 Rui Wang Understanding Eye Movements on Mobile Devices by Pruning Redundant Hidden Units
102 Yu Rong Neural Network with Bimodal Distribution Removal for Distinguishing Anger Authenticity
103 Tianhao Yu Bimodal Distribution Removal in Neural Network for 
Distinguish between Genuine and Acted Anger
104 Zhuoxuan Jiang Compare Single-Node Output Layer and Multi-Node Output Layer in Binary Classification (final version+ explanation, please use this version to mark))
105 Hengjia Zhang The Pruning Methods for feed-forward network
106 Sicheng Hao Use Neural Network to Classify and Compress Images
107 Can Yang Reinventing the Face Emotion Classification with Progressive Image Compression Technique
108 Yi Gao Angry or not? A threshold-varying neural network approach for binary classification
109 Utkarsh Pandey Comparison of Backpropagation and Genetic algorithm with Bimodal Distribution Removal on Mark Prediction Dataset
110 Yiwen Qin Oil Reservoir Statistics Prediction with Neural Network Reduction
111 Rouyi Jin Anger Detection Analysis By Neural Network Model With Bimodal Distribution Removal
112 Xincheng Xu The Combination of Image Compression and Image Classification Based on Neural Network (Based on Pytorch)
113 Weijie Tu Bidirectional Long Short-Term Memory with Bimodal Distribution Removal as an Anger-Veracity Estimator
114 Ziyu Cui Fantastic optimization of oil well data prediction model using Gan GA and Pruning
115 Tanmay Negi Pattern Classification using LSTM
116 Yue Zhou Outliers removal using BDR on neural network
117 Tianyao Jiang Input encoding of linguistic descriptions, indicators of hidden neuron functionality and the evolutionary algorithm for feature selection
118 Chen Zhang An Attempt to Simplify Neural Networks, Taking Thermal Stress Recognition as an Example
119 Manuwai Korber Neural Network Training Progression Indicator: Angular Separation of Neuron Activation Vectors
120 Heng Zhang Applied Bimodal Distribution Removal in Artificial Neural Network for the Reading Distraction Experiment
121 Edan Landow Testing the viability of bidirectional multi-layer perceptron networks in web snippet length classification
122 Tong Cai Can AI spot liars? Thermal imaging-based deception detection with constructive cascade neural network
123 Chunyi Sun One-shot Architecture Search with Cascade Network for Facial Emotion Recognition
124 Xiaojun Liang Re-sampling on Long Short-term Memory Recurrent Neural Network to Predict Students’ Final Grade
125 Xinyu He Decrypting Neural Network Data: Are you really angry?
126 Naisheng Liang Effect of classifying network physiology of ‘fight or flight’ response in facial superficial blood vessels using neural network with deep learning and the influence of pruning
127 Shixuan Liu Image Classification of Static Facial Expressions in the Wild Based on Bidirectional Neural Networks (Based on Pytorch)
128 Yuehan Cao Cascade Neural Networks Applied to eye detection image processing system
129 Xiangyi Luo An Empirical Study of Cascade Network (Casper) and Feed Forward Neural Network for Multi-Classification Task in Determining Depression Levels of Videos
130 Xinyi Han Static Facial Expression Analysis in Tough Conditions use three layers feed-forward network
131 Tanya Dixit Analysis of effectiveness of Neural Network Reduction techniques on Static Facial Expression Dataset
132 Jihirshu Narayan Emotion Detection through Static Images using Pruned Neural Networks
133 Tingwei Zeng Predict Nationality of M-Learning Tester Based on Preference via Neural Network and Improvement with Technique
134 Tianai Qiu Using Neural Network for Classification of Human Stress Response in Facial Vasculature
135 Zheming Han Predict Final Total Mark of Students with ANN, RNN and Bi-LSTM
136 Prateek Aranha Analysis of the Effectiveness of Pruning Methods on Neural Networks of Varied Depth
137 Pranav Rawat Implementation of Neural Networks on Static Facial Expression in the Wild Dataset: Improvement & Decisions Explanation
138 Haiqi Dong The Application of Artificial Neural Network, Long short-term Memory Network and Bidirectional Long short-term Memory Network in the Grades Prediction
139 Zhipeng Li Application of Artificial Neural Networks in Mark Prediction
140 Hao Jun Chong Indicators of Hidden Neuron Functionality(Extend): Performance between Back-Propagation Network, Feed Forward Network with pruning and Evolutionary Algorithm with pruning
141 Minzhe Chen Discriminating Real from Fake Smiles Using Pupillary Responses andNeural Network
142 Hua Ruiodng Classification to the Pagination and Scrolling in Mobile Web Search and Bidirectional Neural Network
143 Weiliang Cao A Neural Network Implementation that Classifies Horizontal and Vertical Control Type by User search Performance
144 Namitha John Improving Classification Accuracy on Facial Expression Recognition and Investigating Distinctiveness Angular Measures for Pruning
145 Xueting Sun Bimodal Distribution Removal Application in Reader Type Classification
146 Kaiyuan Xing Improved Neuron in Cascade Network to Detect Face Emotion
147 Adam Christopher Green Determining Search Task from Eye Gaze Data using Casper
148 Rupini T Chandran Analyzing Magnitude and Functional Measures using Neural Networks
149 Abhijit Adhikary Analyzing the Effect of Hidden Unit Removal from Neural Networks Using Different Angular Separation Degrees Between Neurons in Vector Space
150 Wenxuan Zhou Investigating Differences in Two Visualizations from Observer’s Fixations and Saccades Using Bidirectional Neural Network
151 Peiyang Wang Using Bidirectional Neural Networks and traditional neural networks to predict correct response and analyzing the influence of visualization
152 Jiawei Wang Bimodal distribution removal technique in neural networks for oil well rock quality classification
153 Yihua Zhang Comparison of BDR and GA on Backpropagation Network
154 Abhinav Pandey Identifying Device Screen Size using User Eye Movements on Mobile Devices
155 Enming Zhang Prediction of Human Perceptions of Digital Images Manipulation Using Eye Gaze Data and Neural Networks
156 Ranjth Raj Kandasamy Senthil Kumar Eye Fixation Pattern Classification using Neural Networks with Bimodal Distribution Removal
157 Dong Qing Wen Research on Pruning hidden neurons using the weight matrix
158 Nicholas Burrell Stress Recognition using Neural Networks with Bimodal Distribution Removal
159 Yu Qiao Research on the Relationship Between Face and Emotion: Bidirectional Neural Networks
160 Xuanyu Lin Rule extraction on MLP using clustering genetic algorithm
161 Amelia Poetter Stimulus Prediction Using Bidirectional Neural Networks: Using Bidirectional Neural Network to Develop Prototypes of Anger
162 Shikhar Mishra Does Bimodal Removal Distribution outlier detection improve training? Evolutionary Algorithms for hyperparameter selection and comparing BDR vs non-BDR
163 Sze Shan Yap Parameter Optimization in Backpropagation Evolutionary Algorithms
164 Yilu Liu A simplified expert system for porosity classification using linguistic petrographical descriptions
165 Will Orr Variable thresholds for the classification of genuine or posed anger
166 Guanjie Huang Distinctiveness Pruning on ‘fight or flight’ Response Prediction Network
167 Sambit Ghosh Verifying the benefits pruning of Neural Network based on Neuron Behavior on a Classification Task
168 Xue Ling Teh Neural Networks: Input Features Contribution Analysis on Anger Dataset
169 Zhewen Li Classification Optimization Analysis for Facial Expression Recognition from SFEW with Artificial Neural Network
170 Baoyu Ma Implementing Deep Neural Networks with Pruning for Phi and logK Prediction of Oil-well
171 Zongxin Xiao Classifying Posed and Genuine Angers from Observers’ Peripheral Physiology
172 Zhijie Huang Mark Prediction with Back-Propagation Neural Network Using Network Reduction Techniques
173 Yuanchen Hua Evaluation and Pruning on Neural Network Models for Stress Recognition
174 Xinran Tian Performance of state-of-the-art descriptors on Static Facial Expression Analysis in Tough Conditions: Experiment with BDNN and BPNN
175 Jianyang Li Classification of Static Facial Expressions in the Wild (SFEW) Using Neural Network and Network Reduction Techniques
176 Xin Kan Applying neural network method on facial thermal data to predict whether you lie
177 Yunze Wan Bidirectional Neural Network for Better Generalisation of Dataset with GA for improvements
178 Ziyang Liu Investigate With Casper Neural Network: A Novel Approach Exploring Potential Correlations Between Human Eye Gaze And Image Manipulation
179 Chujie Wu SFEW Dataset Based Facial Emotion Classification Using BiDirectional Neural Network and Convolutional Neural Network
180 Maojun Zhu Analysis of Hidden Neuron Pruning for Reading Distractions Classification
181 Jinwen Zhu Classifying Dry Sclerophyll Forest: A GIS Case Study
182 Zhizhen Huang Using gradients to find key attribute of GIS data
183 Septian Razi How We See Fakes: Uncovering Eye Gaze Behaviors on Manipulated Images from Class Prototypes of Bidirectional Neural Network
184 Yiyi Shao Prediction of preferences on M-Learning based on VARK score using ANN classification based on pre-encoded symbolic data
185 Ferdinand Wittmann Predicting the phone screen-size from users web-search behaviour
186 Yilin Li Bimodal Distribution Removal Algorithm And Its Improvement For Neural Networks On Small Scale Data Set
187 Zixin Wang Data Encoding and network training on Human Eye Gaze Pattern Recognition Data
188 Haolin Zhou Screen Size Classification from Eye Gaze Search Data:The Implementation of Bimodal Distribution Removal Technique on Back-Propagation Neural Network
189 Yifan Zhang Neuron Network
190 Andrew Koch Emotion recognition using Neural Networks
191 Hofflin Optimising CasPer Network for Classification using a Genetic Algorithm: Determining Depression Severity
192 Zheng Huang Effect of Pre-processing Input and Output Data on the Classification of Mobile Device Interaction Tasks Based on Eye-gaze Pattern
193 Alexander Horvat Do feedforward neural networks become more accurate after pruning?
194 Dan Farahani Facial Emotion Recognition using magnitude analysis of neural network
195 Damanvir Singh Gender Differences in Pupillary Responses of Asian Observers while Discriminating Real from Fake Stimuli
196 Yiran Li Comparison of face emotion classification among neural network, bi-directional neural network and bi-directional recurrent neural network