MIDA-Lab Machine Intelligence and Data Analytics (MIDA) Lab

Research

Highlighted

Journal Special Issue: Adversarial Learning and Its Applications in Healthcare
Journal Special Issue: Adversarial Learning and Its Applications in Healthcare
Editors: M Xian, A Vakanski
AI (ISSN 2673-2688)  ·  27 Oct 2025  ·  mdpisi:1
special-issue
Journal Special Issue: Trustworthy Computer-Aided Diagnosis of Breast Cancer Using Ultrasound
Journal Special Issue: Trustworthy Computer-Aided Diagnosis of Breast Cancer Using Ultrasound
Editors: M Xian, A Vakanski
Healthcare (ISSN 2227-9032)  ·  27 Jul 2024  ·  mdpisi:2
special-issue
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
S Sun, M Xian, F Xu, T Yao, L Capriotti
AAAI 24  ·  24 Mar 2024  ·  doi:10.1609/aaai.v38i5.28306
segmentation interactive-segmentation materials-science-ai
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
B Shareef, M Xian, A Vakanski, H Wang
MICCAI 2023  ·  01 Oct 2023  ·  doi:10.1007/978-3-031-43901-8_33
med-ai multi-task-learning transformer cancer ultrasound segmentation
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
S Sun, M Xian, A Vakanski, H Ghanem
MICCAI 2022  ·  16 Sep 2022  ·  doi:10.1007/978-3-031-16440-8_39
med-ai robust-ai cancer ultrasound

All

Journal Special Issue: Adversarial Learning and Its Applications in Healthcare
Editors: M Xian, A Vakanski
AI (ISSN 2673-2688)  ·  2025  ·  mdpisi:1
special-issue
Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks
L Li, J Chang, A Vakanski, Y Wang, T Yao, M Xian
Scientific Reports 14 (1), 10543, 2024  ·  2024  ·  hash:cbc80a30
uncertainty-quantification materials-science-ai trustworthy-ai
Machine learning for additive manufacturing of functionally graded materials
M Karimzadeh, D Basvoju, A Vakanski, I Charit, F Xu, X Zhang
Materials 17 (15), 3673, 2024  ·  2024  ·  hash:3d6fef90
Bend-Net: bending loss regularized multitask learning network for nuclei segmentation in histopathology images
H Wang, A Vakanski, C Shi, M Xian
Information 15 (7), 417, 2024  ·  2024  ·  hash:08ee2962
med-ai segmentation histopathology multitask-learning
LASSO–MOGAT: a multi-omics graph attention framework for cancer classification
F Alharbi, A Vakanski, MK Elbashir, M Mohammed
Academia Biology 2 (3), 2024  ·  2024  ·  hash:44715e58
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
K Lucke, A Vakanski, M Xian
IEEE ISBI, 2024  ·  2024  ·  hash:59a23542
med-ai segmentation ultrasound cancer
Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
F Alharbi, A Vakanski, B Zhang, MK Elbashir, M Mohammed
arXiv preprint arXiv:2410.05325, 2024  ·  2024  ·  hash:2b5a0a45
Dataset of Tensile Properties for Sub-sized Specimens of Nuclear Structural Materials
L Li, JW Merickel, Y Tang, R Song, JE Rittenhouse, A Vakanski, F Xu
arXiv preprint arXiv:2409.08306, 2024  ·  2024  ·  hash:f7c4fb18
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
M Hassan
University of Idaho, 2024  ·  2024  ·  hash:cf062d6f
med-ai generalization trustworthy-ai
Semantic-Aware Adaptive Binary Search for Hard-Label Black-Box Attack
Y Ma, K Lucke, M Xian, A Vakanski
Computers 13 (8), 203, 2024  ·  2024  ·  hash:0cb59b61
adversarial-attack black-box-attack robust-ai
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
S Sun, M Xian, F Xu, T Yao, L Capriotti
AAAI 24  ·  2024  ·  doi:10.1609/aaai.v38i5.28306
segmentation interactive-segmentation materials-science-ai
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
SR Sohag, S Zhang, M Xian, S Sun, F Xu, Z Ma
arXiv preprint arXiv:2404.05656, 2024  ·  2024  ·  hash:f77eb172
llm causality-discovery nuclear-ai
A Knowledge-Informed Large Language Model Framework for US Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment
M Xian, T Wang, S Zhang, F Xu, Z Ma
arXiv preprint arXiv:2410.00929, 2024  ·  2024  ·  hash:8bdcdba2
llm nlp nuclear-ai pra
Segmentation and classification of fission gas pores in reactor irradiated annular U10Zr metallic fuel using machine learning models
Yalei Tang, Fei Xu, Shoukun Sun, Daniele Salvato, Fidelma Giulia Di Lemma, Min Xian, Daniel J. Murray, Colin Judge, Luca Capriotti, Tiankai Yao
Materials Characterization  ·  2024  ·  doi:10.1016/j.matchar.2024.114061
materials-science-ai segmentation
Journal Special Issue: Trustworthy Computer-Aided Diagnosis of Breast Cancer Using Ultrasound
Editors: M Xian, A Vakanski
Healthcare (ISSN 2227-9032)  ·  2024  ·  mdpisi:2
special-issue
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
M Karimzadeh, A Vakanski, M Xian, B Zhang
IEEE MLSP, 2023  ·  2023  ·  hash:197a6c25
med-ai explainable-ai multi-task-learning cancer ultrasound segmentation
BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations
B Zhang, A Vakanski, M Xian
IEEE Access, 2023  ·  2023  ·  hash:64f7b647
med-ai explainable-ai multi-task-learning cancer ultrasound
Data-aware customization of activation functions reduces neural network error
F Gao, B Zhang
arXiv preprint arXiv:2301.06635, 2023  ·  2023  ·  hash:3e244e50
Predicting the fine‐scale spatial distribution of zoonotic reservoirs using computer vision
NC Layman, AJ Basinski, B Zhang, EA Eskew, BH Bird, BM Ghersi, …
Ecology Letters 26 (11), 1974-1986, 2023  ·  2023  ·  hash:2aa699e8
Machine learning methods for cancer classification using gene expression data: A review
F Alharbi, A Vakanski
Bioengineering 10 (2), 173, 2023  ·  2023  ·  hash:33b7ea1d
SIAN: style-guided instance-adaptive normalization for multi-organ histopathology image synthesis
H Wang, M Xian, A Vakanski, B Shareef
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023  ·  2023  ·  hash:766fae3e
med-ai gen-ai histopathology image-synthesis
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
B Shareef, M Xian, A Vakanski, H Wang
MICCAI 2023  ·  2023  ·  doi:10.1007/978-3-031-43901-8_33
med-ai multi-task-learning transformer cancer ultrasound segmentation
A Benchmark for Breast Ultrasound Image Classification
BM Shareef, M Xian, S Sun, A Vakanski, J Ding, C Ning, HD Cheng
Available at SSRN 4339660, 2023  ·  2023  ·  hash:da1da1e3
med-ai benchmark dataset cancer ultrasound
Enhanced Sharp-GAN For Histopathology Image Synthesis
S Butte, H Wang, A Vakanski, M Xian
IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023  ·  2023  ·  hash:fd8fdbb5
med-ai gen-ai gan histopathology image-synthesis
Cmu-net: a strong convmixer-based medical ultrasound image segmentation network
F Tang, L Wang, C Ning, M Xian, J Ding
2023 IEEE 20th international symposium on biomedical imaging (ISBI), 1-5, 2023  ·  2023  ·  hash:49481f52
med-ai segmentation cancer ultrasound dataset
Multi-level global context cross consistency model for semi-supervised ultrasound image segmentation with diffusion model
F Tang, J Ding, L Wang, M Xian, C Ning
arXiv preprint arXiv:2305.09447, 2023  ·  2023  ·  hash:d98fab57
An Efficient Instance Segmentation Approach for Studying Fission Gas Bubbles in Irradiated Metallic Nuclear Fuel
S Sun, F Xu, L Cai, D Salvato, L Capriotti, M Xian, T Yao
Scientific Reports, 2023  ·  2023  ·  hash:f044cb2f
materials-science-ai segmentation
Natural Language Processing-Enhanced Nuclear Industry Operating Experience Data Analysis: Aggregation and Interpretation of Multi-Report Analysis Results
S Zhang, F Xu, Z Ma, M Xian
Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023  ·  2023  ·  hash:028ba2f6
nlp llm nuclear-ai
A New Approach to Identify and Characterize Low-Power Shutdown Initiating Events Using Machine Learning Techniques
Z Ma, F Xu, S Zhang, M Xian
[no publisher info]  ·  2023  ·  hash:54f5e966
nlp llm nuclear-ai
A fine pore-preserved deep neural network for porosity analytics of a high burnup U-10Zr metallic fuel
Haotian Wang, Fei Xu, Lu Cai, Daniele Salvato, Fidelma Giulia Di Lemma, Luca Capriotti, Tiankai Yao, Min Xian
Scientific Reports  ·  2023  ·  doi:10.1038/s41598-023-48800-3
materials-science-ai segmentation
Applying AI/ML Techniques to US Nuclear Operating Experience Program
Z Ma, F Xu, S Zhang, M Xian
Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023  ·  2023  ·  hash:6e354fe8
nuclear-ai ai ml
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel
S Sun, F Xu, L Cai, D Salvato, L Capriotti, M Xian, T Yao
arXiv preprint arXiv:2302.12833, 2023  ·  2023  ·  hash:29865c16
materials-science-ai segmentation
Solution stability in evolutionary computation
T Soule, RB Heckendorn, J Shen
International Symposium on Computer and Information Sciences, 237-241, 2022  ·  2022  ·  hash:8e9c3e4e
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Y Zhang, M Xian, HD Cheng, B Shareef, J Ding, F Xu, K Huang, B Zhang, …
Healthcare 10 (4), 729, 2022  ·  2022  ·  hash:863b3ff1
med-ai segmentation cancer ultrasound dataset
Predicting the materials properties using a 3d graph neural network with invariant representation
B Zhang, M Zhou, J Wu, F Gao
IEEE Access 10, 62440-62449, 2022  ·  2022  ·  hash:7b3ea9ef
Contrastive metric learning for lithium super-ionic conductor screening
B Zhang, S Wang, F Gao
SN computer science 3 (6), 465, 2022  ·  2022  ·  hash:373198cf
SepNet: A neural network for directionally correlated data
F Gao, Y Ma, B Zhang, M Xian
Neural Networks 153, 215-223, 2022  ·  2022  ·  hash:8145f17d
ai trustworthy-ai
ESTAN: Enhanced small tumor-aware network for breast ultrasound image segmentation
B Shareef, A Vakanski, PE Freer, M Xian
Healthcare 10 (11), 2262, 2022  ·  2022  ·  hash:a37339cf
med-ai segmentation cancer ultrasound dataset
TA-Net: Topology-Aware Network for Gland Segmentation
H Wang, M Xian, A Vakanski
IEEE WACV, 2022  ·  2022  ·  hash:c4b7a9b5
med-ai segmentation histopathology topology
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis
S Butte, H Wang, MX Xian, A Vakanski
IEEE ISBI, 2022  ·  2022  ·  hash:3fd14232
med-ai gen-ai gan histopathology image-synthesis
EMT-Net: Efficient multitask network for computer-aided diagnosis of breast cancer
J Shi, A Vakanski, M Xian, J Ding, C Ning
IEEE ISBI, 2022  ·  2022  ·  hash:1cd1afba
med-ai efficient-ai multitask-learning cad cancer
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
S Sun, M Xian, A Vakanski, H Ghanem
MICCAI 2022  ·  2022  ·  doi:10.1007/978-3-031-16440-8_39
med-ai robust-ai cancer ultrasound
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated {\alpha}-U Using Machine Learning
L Cai, F Xu, DJ Murray, CA Adkins, LK Aagesen Jr, M Xian, L Caprriot, …
Materials Characterization, 2022  ·  2022  ·  hash:2492e621
materials-science-ai fission-gas-bubbles
Exploring advanced computational tools and techniques with artificial intelligence and machine learning in operating nuclear plants
Z Ma, H Bao, S Zhang, M Xian, AL Mack
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2022  ·  2022  ·  hash:d42395ad
nuclear-ai ai
Understanding fission gas bubble distribution and zirconium redistribution in neutron-irradiated U-Zr metallic fuel using machine learning
F Xu, L Cai, D Salvato, JJ Giglio, M Benson, DJ Murray, CA Adkins, …
Microscopy and Microanalysis 28 (S1), 82-83, 2022  ·  2022  ·  hash:97595197
materials-science-ai segmentation
Thermal constraints on energy balance, behaviour and spatial distribution of grizzly bears
SA Rogers, CT Robbins, PD Mathewson, AM Carnahan, FT van Manen, …
Functional Ecology 35 (2), 398-410, 2021  ·  2021  ·  hash:14359035
Improving the Efficiency of Genetic-Based Incremental Local Outlier Factor Algorithm for Network Intrusion Detection
O Alghushairy, R Alsini, X Ma, T Soule
Advances in Artificial Intelligence and Applied Cognitive Computing …, 2021  ·  2021  ·  hash:7bf7aa1c
Using neural networks and genetic algorithms for predicting human movement in crowds
A Alajlan, A Edris, RB Heckendorn, T Soule
Advances in Artificial Intelligence and Applied Cognitive Computing …, 2021  ·  2021  ·  hash:e029f05b
Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints
K Huang, Y Zhang, HD Cheng, P Xing, B Zhang
Neurocomputing 450, 319-335, 2021  ·  2021  ·  hash:4af961b0
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
B Zhang, A Vakanski, M Xian
IEEE MLSP, 2021  ·  2021  ·  hash:3155f06a
med-ai explainable-ai cancer ultrasound
Semantic segmentation of breast ultrasound image with pyramid fuzzy uncertainty reduction and direction connectedness feature
K Huang, Y Zhang, HD Cheng, P Xing, B Zhang
2020 25th International Conference on Pattern Recognition (ICPR), 3357-3364, 2021  ·  2021  ·  hash:c6bdc69b
Predicting material properties using a 3D graph neural network with invariant local descriptors
B Zhang, M Zhou, J Wu, F Gao
arXiv preprint arXiv:2102.11023, 2021  ·  2021  ·  hash:15d1a7a9
Breast Anatomy Enriched Tumor Saliency Estimation
F Xu, Y Zhang, HD Cheng, J Ding, B Zhang, C Ning, Y Wang
2020 25th International Conference on Pattern Recognition (ICPR), 2904-2911, 2021  ·  2021  ·  hash:ff0572d7
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection
S Butte, A Vakanski, K Duellman, H Wang, A Mirkouei
Agronomy Journal 113 (5), 3991–4002, 2021  ·  2021  ·  hash:027f1156
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis
A Vakanski, M Xian
31st IEEE MLSP, 2021  ·  2021  ·  hash:ca760780
med-ai trustworthy-ai generalization
SMOTE-WENN: Solving class imbalance and small sample problems by oversampling and distance scaling
H Guan, Y Zhang, M Xian, HD Cheng, X Tang
Applied Intelligence 51, 1394-1409, 2021  ·  2021  ·  hash:6a6d6bf1
imbalance classification
Application and evaluation of a deep learning architecture to urban tree canopy mapping
Z Wang, C Fan, M Xian
Remote Sensing 13 (9), 1749, 2021  ·  2021  ·  hash:690ef749
remote-sensing segmentation
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
C Shi, M Xian, X Zhou, H Wang, HD Cheng
Medical Image Analysis 73, 102152, 2021  ·  2021  ·  hash:c9fcac3f
med-ai ct liver segmentation
On the limits of em based detection of control logic injection attacks in noisy environments
K Vedros, GM Makrakis, C Kolias, M Xian, D Barbara, C Rieger
2021 Resilience Week (RWS), 1-9, 2021  ·  2021  ·  hash:98b02ab0
cyber-security
A review of local outlier factor algorithms for outlier detection in big data streams
O Alghushairy, R Alsini, T Soule, X Ma
Big Data and Cognitive Computing 5 (1), 1, 2020  ·  2020  ·  hash:df210301
A genetic-based incremental local outlier factor algorithm for efficient data stream processing
O Alghushairy, R Alsini, X Ma, T Soule
Proceedings of the 2020 4th International Conference on Compute and Data …, 2020  ·  2020  ·  hash:61cb129f
Generation-Z learning approaches to improve performance in the fundamentals of engineering exam
J Crepeau, B Willis, S Quallen, SW Beyerlein, D Cordon, T Soule, …
2020 ASEE Virtual Annual Conference Content Access, 2020  ·  2020  ·  hash:66936334
An alert system: Using fuzzy logic for controlling crowd movement by detecting critical density spots
A Edris, A Alajlan, F Sheldon, T Soule, R Heckendorn
2020 International Conference on Computational Science and Computational …, 2020  ·  2020  ·  hash:c58c4161
Machine learning for dense crowd direction prediction using long short-term memory
A Alajlan, A Edris, F Sheldon, T Soule
2020 International Conference on Computational Science and Computational …, 2020  ·  2020  ·  hash:2b44d008
A Grid Partition-Based Local Outlier Factor by Reachability Distance for Data Stream Processing
R Alsini, O Alghushairy, X Ma, T Soule
2020 International Conference on Computational Science and Computational …, 2020  ·  2020  ·  hash:ed068aa9
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams. Big Data Cogn. Comput. 2021, 5, 1
O Alghushairy, R Alsini, T Soule, X Ma
s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2020  ·  2020  ·  hash:7d2dee60
A Use of Even Activation Functions in Neural Networks
F Gao, B Zhang
arXiv preprint arXiv:2011.11713, 2020  ·  2020  ·  hash:10ad7bd5
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Y Liao, A Vakanski, M Xian
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020  ·  2020  ·  hash:bfe08127
med-ai rehabilitation
Attention-enriched deep learning model for breast tumor segmentation in ultrasound images
A Vakanski, M Xian, PE Freer
Ultrasound in medicine & biology 46 (10), 2819-2833, 2020  ·  2020  ·  hash:3e528120
STAN: Small tumor-aware network for breast ultrasound image segmentation
B Shareef, M Xian, A Vakanski
2020 IEEE 17th International Symposium on Biomedical Imaging, 2020  ·  2020  ·  hash:2a7424dc
med-ai segmentation cancer ultrasound dataset
A review of computational approaches for evaluation of rehabilitation exercises
Y Liao, A Vakanski, M Xian, D Paul, R Baker
Computers in biology and medicine 119, 103687, 2020  ·  2020  ·  hash:352dee45
med-ai rehabilitation
Bending loss regularized network for nuclei segmentation in histopathology images
H Wang, M Xian, A Vakanski
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020  ·  2020  ·  hash:b91036db
med-ai segmentation cancer histopathology
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
A Vakanski, M Xian, P Freer
Ultrasound in Medicine & Biology, 2020  ·  2020  ·  hash:54c726e0
med-ai segmentation cancer ultrasound
Imputation of single-cell gene expression with an autoencoder neural network
MB Badsha, R Li, B Liu, YI Li, M Xian, NE Banovich, A Fu
Quantitative Biology 8 (1), 78-94, 2020  ·  2020  ·  hash:13f6f12c
imputation bioinformatics autoencoder single-cell
CYBER-PHYSICAL INFRASTRUCTURES FOR ADVANCING PYROLYSIS CONVERSION PROCESS: A CASE STUDY OF BIOCHAR PRODUCTION
B Hersh, A Mohajeri, A Mirkouei, M Xian
ASME, 2020  ·  2020  ·  hash:15bb9a77
Fuzzy semantic segmentation of breast ultrasound image with breast anatomy constraints
K Huang, Y Zhang, HD Cheng, P Xing, B Zhang
arXiv preprint arXiv:1909.06645, 2019  ·  2019  ·  hash:46ce498b
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
F Xu, Y Zhang, M Xian, HD Cheng, B Zhang, J Ding, C Ning, Y Wang
arXiv preprint arXiv:1906.07760, 2019  ·  2019  ·  hash:bb641f42
med-ai segmentation cancer ultrasound
Assessment of physical rehabilitation movements through dimensionality reduction and statistical modeling
C Williams, A Vakanski, S Lee, D Paul
Medical Engineering & Physics 74, 13-22, 2019  ·  2019  ·  hash:ddca0a8d
6d object pose estimation for robot programming by demonstration
M Ghahramani, A Vakanski, F Janabi-Sharifi
Progress in Optomechatronic Technologies: Proceedings of International …, 2019  ·  2019  ·  hash:05c82b3a
Toward a Secure IoT Architecture
RE Hiromoto, M Haney, A Vakanski, B Shareef
Advanced Control Techniques in Complex Engineering Systems: Theory and …, 2019  ·  2019  ·  hash:f5fcf207
Workload-aware task placement in edge-assisted human re-identification
A Acharya, Y Hou, Y Mao, M Xian, J Yuan
2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019  ·  2019  ·  hash:c682b489
computer-vision re-identification
Cyber-Physical Control and Optimization for Biofuel 4.0
S Hansen, A Mirkouei, M Xian
IISE Annual Conference & Expo, 2019  ·  2019  ·  hash:b8e334b0
cyber-physical-control
BA2Cs: Bounded abstaining with two constraints of reject rates in binary classification
H Guan, Y Zhang, HD Cheng, M Xian, X Tang
Neurocomputing 357, 125-134, 2019  ·  2019  ·  hash:394feb56
ai classification pattern-recognition
Playable experiences at AIIDE 2018
B Samuel, A Reed, E Short, S Heck, B Robison, L Wright, T Soule, …
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018  ·  2018  ·  hash:464f3bea
Learned anticipation strategy on complex behaviors and as an approach to generalization behavior for the coordination of an auv fleet
JF Marulanda, DB Edwards, RB Heckendorn, T Soule
OCEANS 2018 MTS/IEEE Charleston, 1-9, 2018  ·  2018  ·  hash:1e23a8d0
Unified approach to pavement crack and sealed crack detection using preclassification based on transfer learning
K Zhang, HD Cheng, B Zhang
Journal of Computing in Civil Engineering 32 (2), 04018001, 2018  ·  2018  ·  hash:52339bad
Automatic Breast Ultrasound Image Segmentation: A Survey
M Xian, Y Zhang, HD Cheng, F Xu, B Zhang, J Ding
Pattern Recognition 79, 340-355, 2018  ·  2018  ·  hash:49d139ca
med-ai segmentation cancer ultrasound
Speckle noise reduction in medical ultrasound image using monogenic wavelet and Laplace mixture distribution
S Gai, B Zhang, C Yang, L Yu
Digital Signal Processing 72, 192-207, 2018  ·  2018  ·  hash:b2131783
A benchmark for breast ultrasound image segmentation (BUSIS)
M Xian, Y Zhang, HD Cheng, F Xu, K Huang, B Zhang, J Ding, C Ning, …
Infinite Study, 2018  ·  2018  ·  hash:70020b5c
Medical knowledge constrained semantic breast ultrasound image segmentation
K Huang, HD Cheng, Y Zhang, B Zhang, P Xing, C Ning
2018 24th International Conference on Pattern Recognition (ICPR), 1193-1198, 2018  ·  2018  ·  hash:aa7da133
Computer-aided knee joint magnetic resonance image segmentation-a survey
B Zhang, Y Zhang, HD Cheng, M Xian, S Gai, O Cheng, K Huang
arXiv preprint arXiv:1802.04894, 2018  ·  2018  ·  hash:05517327
med-ai cad mri
A hybrid framework for tumor saliency estimation
F Xu, M Xian, Y Zhang, K Huang, HD Cheng, B Zhang, J Ding, C Ning, …
2018 24th International Conference on Pattern Recognition (ICPR), 3935-3940, 2018  ·  2018  ·  hash:cea48de2
A data set of human body movements for physical rehabilitation exercises
A Vakanski, H Jun, D Paul, R Baker
Data 3 (1), 2, 2018  ·  2018  ·  hash:324c7f7c
Image-based trajectory robot programming planning approach
A Vakanski, F Janabi-Sharifi
US Patent 10,112,303, 2018  ·  2018  ·  hash:6af42f4c
Generative adversarial networks for generation and classification of physical rehabilitation movement episodes
L Li, A Vakanski
International journal of machine learning and computing 8 (5), 428, 2018  ·  2018  ·  hash:99463498
gen-ai rehabilitation med-ai
Watermark Embedding for Direct Binary Searched Halftone Images by Adopting Visual Cryptography
Y Wang, R Ni, Y Zhao, M Xian
Computers, Materials & Continua (CMC), 2018  ·  2018  ·  hash:e12190b4
watermark cryptography
A Novel Hybrid Framework for Tumor Saliency Estimation
F Xu, M Xian, Y Zhang, K Huang, HD Cheng, B Zhang, J Ding, C Ning, …
International Conference on Pattern Recognition (ICPR), 2018  ·  2018  ·  hash:4cd21416
med-ai cancer ultrasound segmentation
Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices
Y Luo, M Xian, et al.
IEEE PMAPS, 2018  ·  2018  ·  hash:c42a5107
optimization
Texture analysis and imbalanced data processing for papillary thyroid microcarcinoma detection
F Wei, J Ding, C Ning, F Xu, M Xian, Y Zhang
BIBE 2018; International Conference on Biological Information and Biomedical …, 2018  ·  2018  ·  hash:bbdce0e6
med-ai imbalanced-date cancer
Darwin’s demons: Does evolution improve the game?
T Soule, S Heck, TE Haynes, N Wood, BD Robison
Applications of Evolutionary Computation: 20th European Conference …, 2017  ·  2017  ·  hash:276c2a96
Playable experiences at AIIDE 2017
M Treanor, N Warren, M Reed, A Smith, P Ortiz, L Coney, L Sherman, …
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2017  ·  2017  ·  hash:5ef33efa
Eye-Tracking in Practice: A First Analysis of a Study on Human Postures
J Symanzik, C Li, B Zhang, B Studenka, E McKinney
2017 JSM Proceedings. American Statistical Association, Alexandria, VA, 2212 …, 2017  ·  2017  ·  hash:eb5f63fa
A secure architecture for IoT with supply chain risk management
RE Hiromoto, M Haney, A Vakanski
The 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017  ·  2017  ·  hash:8f757d14
An image-based trajectory planning approach for robust robot programming by demonstration
A Vakanski, F Janabi-Sharifi, I Mantegh
Robotics and Autonomous Systems 98, 241-257, 2017  ·  2017  ·  hash:fb9d89aa
Metrics for performance evaluation of patient exercises during physical therapy
A Vakanski, JM Ferguson, S Lee
International Journal of Physical Medicine and Rehabilitation 5 (3), 2017  ·  2017  ·  hash:80c4f6ed
Robot learning by visual observation
A Vakanski, F Janabi-Sharifi
John Wiley & Sons, 2017  ·  2017  ·  hash:27fc24d9
Task planning
A Vakanski, F Janabi‐Sharifi
Robot Learning by Visual Observation, 73-127, 2017  ·  2017  ·  hash:caa61839
Task perception
A Vakanski, F Janabi‐Sharifi
Robot Learning by Visual Observation, 43-47, 2017  ·  2017  ·  hash:0adfdb67
Task execution
A Vakanski, F Janabi‐Sharifi
Robot Learning by Visual Observation, 129-188, 2017  ·  2017  ·  hash:9612d853
Task representation
A Vakanski, F Janabi‐Sharifi
Robot Learning by Visual Observation, 49-56, 2017  ·  2017  ·  hash:b11236a2
Task modeling
A Vakanski, F Janabi‐Sharifi
Robot Learning by Visual Observation, 57-72, 2017  ·  2017  ·  hash:c540668a
Loosecut: Interactive image segmentation with loosely bounded boxes
H Yu, Y Zhou, H Qian, M Xian, S Wang
2017 IEEE International Conference on Image Processing (ICIP), 3335-3339, 2017  ·  2017  ·  hash:4b1699a3
segmentation
Neutro-Connectedness Theory, Algorithms and Applications
M Xian
https://www.researchgate.net/publication/322343234_Neutro …, 2017  ·  2017  ·  hash:9cba3bfc
graphic-model segmentation
Bee-inspired landmark recognition in robotic navigation
KCA Cumbo, S Heck, I Tanimoto, T DeVault, R Heckendorn, T Soule
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016  ·  2016  ·  hash:0936133c
Mathematical modeling and evaluation of human motions in physical therapy using mixture density neural networks
A Vakanski, JM Ferguson, S Lee
Journal of Physiotherapy & Physical Rehabilitation 1 (4), 2016  ·  2016  ·  hash:7e35ebf6
Neutro-connectedness cut
M Xian, Y Zhang, HD Cheng, F Xu, J Ding
IEEE Transactions on Image Processing 25 (10), 4691-4703, 2016  ·  2016  ·  hash:383a6256
med-ai segmentation
EISeg: Effective interactive segmentation
M Xian, F Xu, HD Cheng, Y Zhang, J Ding
2016 23rd International Conference on Pattern Recognition (ICPR), 1982-1987, 2016  ·  2016  ·  hash:377101ba
segmentation interactive-segmentation graphic-model
Unsupervised saliency estimation based on robust hypotheses
F Xu, M Xian, HD Cheng, J Ding, Y Zhang
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-6, 2016  ·  2016  ·  hash:e5c6db03
computer-vision segmentation optimization
WENN for individualized cleaning in imbalanced data
H Guan, Y Zhang, M Xian, HD Cheng, X Tang
2016 23rd International Conference on Pattern Recognition (ICPR), 456-461, 2016  ·  2016  ·  hash:a49de419
imbalanced-data data-cleaning
Breast Ultrasound Image Co-segmentation by Means of Multiple-domain Knowledge
邵昊阳， 张英涛， 鲜敏， 李致勋， 唐降龙
自动化学报 42 (4), 580-592, 2016  ·  2016  ·  hash:20eaa4ec
Robust multiple cue fusion-based high-speed and nonrigid object tracking algorithm for short track speed skating
C Liu, HD Cheng, Y Zhang, Y Wang, M Xian
Journal of Electronic Imaging 25 (1), 013014-013014, 2016  ·  2016  ·  hash:01d3be04
computer-vision object-tracking
Girls build excitement for math from Scratch
JM Amador, T Soule
Mathematics Teaching in the Middle School 20 (7), 408-415, 2015  ·  2015  ·  hash:3fa5eff5
Learning from Demonstration for Distributed, Encapsulated Evolution of Autonomous Outdoor Robots
T DeVautl, S Forrest, I Tanimoto, T Soule, R Heckendorn
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015  ·  2015  ·  hash:08200ce6
Authorization to Submit Thesis
A Vakanski
University of Idaho, 2015  ·  2015  ·  hash:a62d1130
Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains
M Xian, Y Zhang, HD Cheng
Pattern Recognition 48 (2), 485-497, 2015  ·  2015  ·  hash:9ae3147e
med-ai segmentation cancer ultrasound
A saliency model for automated tumor detection in breast ultrasound images
H Shao, Y Zhang, M Xian, HD Cheng, F Xu, J Ding
2015 IEEE International Conference on Image Processing (ICIP), 1424-1428, 2015  ·  2015  ·  hash:8da57e1e
med-ai segmentation cancer ultrasound dataset
Local-weighted Citation-kNN algorithm for breast ultrasound image classification
J Ding, HD Cheng, M Xian, Y Zhang, F Xu
Optik 126 (24), 5188-5193, 2015  ·  2015  ·  hash:69accb71
med-ai segmentation cancer ultrasound
An algorithm based on LBPV and MIL for left atrial thrombi detection using transesophageal echocardiography
J Ding, M Xian, HD Cheng, Y Zhang, F Xu
2015 IEEE International Conference on Image Processing (ICIP), 4224-4227, 2015  ·  2015  ·  hash:1f5d9c6a
med-ai segmentation
An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography
J Ding, M Xian, HD Cheng, Y Li, F Xu, Y Zhang
arXiv preprint arXiv:1508.05995, 2015  ·  2015  ·  hash:438b325c
med-ai segmentation
Evolution of communication and cooperation
J Fairey, T Soule
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014  ·  2014  ·  hash:d5355a22
Neuroevolution of a trail following robotic controller for an autonomous CotsBot
T DeVault, N Ebel, J Marulanda, J Pokharel, T Soule, RB Heckendorn
Submission, 2014  ·  2014  ·  hash:6c96f641
Robotic learning of manipulation tasks from visual perception using a Kinect sensor
A Vakanski, F Janabi-Sharifi, I Mantegh
International Journal of Machine Learning and Computing 4 (2), 163, 2014  ·  2014  ·  hash:51d47d7d
A fully automatic breast ultrasound image segmentation approach based on neutro-connectedness
M Xian, HD Cheng, Y Zhang
2014 22nd International Conference on Pattern Recognition, 2495-2500, 2014  ·  2014  ·  hash:45903729
med-ai segmentation cancer ultrasound
Unsupervised co-segmentation based on a new global gmm constraint in mrf
H Yu, M Xian, X Qi
2014 IEEE International Conference on Image Processing (ICIP), 4412-4416, 2014  ·  2014  ·  hash:81835fdf
segmentation mrf graphic-model
Autonomous navigation of forest trails by an industrial-size robot
HT Leidenfrost, TT Tate, JR Canning, MJ Anderson, T Soule, DB Edwards, …
Transactions of the ASABE 56 (4), 1273-1290, 2013  ·  2013  ·  hash:5c09f1d1
A practical platform for on-line genetic programming for robotics
T Soule, RB Heckendorn
Genetic Programming Theory and Practice X, 15-29, 2013  ·  2013  ·  hash:9818add6
Maximizing microbial perchlorate degradation using a genetic algorithm: consortia optimization
KH Kucharzyk, T Soule, TF Hess
Biodegradation 24, 583-596, 2013  ·  2013  ·  hash:4e8f3487
Learned anticipation strategy for speed control in an auv fleet
J Marulanda, D Edwards, R Heckendorn, T Soule
2013 OCEANS-San Diego, 1-9, 2013  ·  2013  ·  hash:a9c12c20
Designing and building powerful, inexpensive robots for evolutionary research
T Soule
Proceedings of the 15th annual conference companion on Genetic and …, 2013  ·  2013  ·  hash:53ced312
Multi-scale video text detection based on corner and stroke width verification
B Zhang, JF Liu, XL Tang
2013 Visual Communications and Image Processing (VCIP), 1-6, 2013  ·  2013  ·  hash:a9c8c4a1
Maximizing microbial degradation of perchlorate using a genetic algorithm: media optimization
KH Kucharzyk, RL Crawford, AJ Paszczynski, T Soule, TF Hess
Journal of biotechnology 157 (1), 189-197, 2012  ·  2012  ·  hash:56fe7b3b
A comparison of a communication strategies in cooperative learning
M Solomon, T Soule, RB Heckendorn
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012  ·  2012  ·  hash:e10dcc10
Proceedings of the 14th annual conference on Genetic and evolutionary computation
T Soule
ACM, 2012  ·  2012  ·  hash:ddaa1acb
An improved algorithm for the detection of genomic variation using short oligonucleotide expression microarrays
ML Settles, T Coram, T Soule, BD Robison
Molecular ecology resources 12 (6), 1079-1089, 2012  ·  2012  ·  hash:af4b0214
Character recognition in natural scene images using local description
B Zhang, W Zhao, JF Liu, R Wu, XL Tang
Intelligent Science and Intelligent Data Engineering: Second Sino-foreign …, 2012  ·  2012  ·  hash:4e4f5aa7
Trajectory learning for robot programming by demonstration using hidden Markov model and dynamic time warping
A Vakanski, I Mantegh, A Irish, F Janabi-Sharifi
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2012  ·  2012  ·  hash:55ef3a99
A second-order conic optimization-based method for visual servoing
E Nematollahi, A Vakanski, F Janabi-Sharifi
Mechatronics 22 (4), 444-467, 2012  ·  2012  ·  hash:b6caef67
Transferring skills to robots for tasks with cyclic motions via dynamical systems approach
A Vakanski, F Janabi-Sharifi, I Mantegh
2012 International Symposium on Optomechatronic Technologies (ISOT 2012), 1-6, 2012  ·  2012  ·  hash:10df5698
Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images
M Xian, J Huang, Y Zhang, X Tang
2012 19th IEEE International Conference on Image Processing, 2021-2024, 2012  ·  2012  ·  hash:06e32c06
med-ai segmentation cancer ultrasound
Cotsbots: computationally powerful, low-cost robots for computer science curriculums
T Soule, RB Heckendorn
Journal of Computing Sciences in Colleges 27 (1), 180-187, 2011  ·  2011  ·  hash:e096bba4
Perchlorate: status and overview of new remedial technologies
KH Kucharzyk, T Soule, AJ Paszczynski, TF Hess
Waste Water-Treatment and Reutilization, F. Einschlag (Ed.), 171-194, 2011  ·  2011  ·  hash:d3bb606d
On the evolution of structure in ecological networks
M Labrum, T Soule, A Blue, SM Krone
Unifying Themes in Complex Systems: Proceedings of the Fifth International …, 2011  ·  2011  ·  hash:e0bde5d8
Evolutionary dynamics of tag mediated cooperation with multilevel selection
T Soule
Evolutionary Computation 19 (1), 25-43, 2011  ·  2011  ·  hash:7d3cf479
Ensemble classifiers: Adaboost and orthogonal evolution of teams
T Soule, RB Heckendorn, B Dyre, R Lew
Genetic Programming Theory and Practice VIII, 55-69, 2011  ·  2011  ·  hash:e008e2b1
Analysis of visual acuity and motion resolvability as measures for optimal visual perception of the workspace
F Janabi-Sharifi, A Vakanski
Applied Ergonomics 42 (3), 473-486, 2011  ·  2011  ·  hash:a58a5ca3
乳腺超声图像肿瘤全自动定位方法研究
鲜敏， 黄剑华， 张英涛， 唐降龙
计算机应用研究 28 (12), 4752-4756, 2011  ·  2011  ·  hash:961f2b8d
A distance measure comparison to improve crowding in multi-modal optimization problems
DT Vollmer, T Soule, M Manic
2010 3rd International Symposium on Resilient Control Systems, 31-36, 2010  ·  2010  ·  hash:012debf8
Ordering autonomous underwater vehicle inspection locations with a genetic algorithm
B Morton, T Soule, A Kanago, J Frenzel, D Edwards
OCEANS 2010 MTS/IEEE SEATTLE, 1-6, 2010  ·  2010  ·  hash:375e66d2
Assessing mental workload from skin conductance and pupillometry using wavelets and genetic programming
R Lew, BP Dyre, T Soule, SA Ragsdale, S Werner
Proceedings of the human factors and ergonomics society annual meeting 54 (3 …, 2010  ·  2010  ·  hash:fa8b0640
A developmental approach to evolving scalable hierarchies for multi-agent swarms
T Soule, RB Heckendorn
Proceedings of the 12th annual conference companion on Genetic and …, 2010  ·  2010  ·  hash:9290d6f2
A developmental algorithm for multi-agent swarms with scalable hierarchies
T Soule, RB Heckendorn
Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010  ·  2010  ·  hash:45d7f2f3
Trajectory learning based on conditional random fields for robot programming by demonstration
A Vakanski, F Janabi-Sharifi, I Mantegh, A Irish
Proceedings of the IASTED International Conference on Robotics and …, 2010  ·  2010  ·  hash:b048ea4e
Simulating human reasoning in mine-like object inspection assignments for a formation of unmanned underwater vehicles
N Hallin, B Johnson, H Egbo, M O’Rourke, T Soule, D Edwards
2009 Advanced Technologies for Enhanced Quality of Life, 158-162, 2009  ·  2009  ·  hash:bd61d88f
Enabling autonomous underwater vehicles to reason hypothetically
NJ Hallin, H Egbo, P Ray, T Soule, M O’Rourke, D Edwards
OCEANS 2009, 1-7, 2009  ·  2009  ·  hash:64bab6ac
Evolution of team composition in multi-agent systems
J Rubini, RB Heckendorn, T Soule
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009  ·  2009  ·  hash:5d7e4a7b
Environmental robustness in multi-agent teams
T Soule, RB Heckendorn
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009  ·  2009  ·  hash:32edcd85
Dynamic particle swarm optimization via ring topologies
F Jones, T Soule
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009  ·  2009  ·  hash:a18faff4
Autonomous navigation of an unmanned ground vehicle in unstructured forest terrain
J Alberts, D Edwards, T Soule, M Anderson, M O’Rourke
2008 ECSIS Symposium on Learning and Adaptive Behaviors for Robotic Systems …, 2008  ·  2008  ·  hash:6a569996
Training time and team composition robustness in evolved multi-agent systems
R Thomason, RB Heckendorn, T Soule
Genetic Programming: 11th European Conference, EuroGP 2008, Naples, Italy …, 2008  ·  2008  ·  hash:5f1d53c5
Improving performance and cooperation in multi-agent systems
T Soule, RB Heckendorn
Genetic Programming Theory and Practice V, 221-237, 2008  ·  2008  ·  hash:f478f654
Crossover and sampling biases on nearly uniform landscapes
T Soule
Genetic Programming Theory and Practice VI, 1-15, 2008  ·  2008  ·  hash:d9807f24
Inverse computational feedback optimization imaging applied to time varying changes in a homogeneous structure
DJ Evans, ML Manwaring, T Soule
2008 30th Annual International Conference of the IEEE Engineering in …, 2008  ·  2008  ·  hash:c6b2b083
Novel ways of improving cooperation and performance in ensemble classifiers
R Thomason, T Soule
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007  ·  2007  ·  hash:3aee96ff
Orthogonal evolution of teams: A class of algorithms for evolving teams with inversely correlated errors
T Soule, P Komireddy
Genetic Programming Theory and Practice IV, 79-95, 2007  ·  2007  ·  hash:c9585b2c
Stochastic optimization of a biologically plausible spino-neuromuscular system model: A comparison with human subjects
S Gotshall, K Browder, J Sampson, T Soule, R Wells
Genetic Programming and Evolvable Machines 8, 355-380, 2007  ·  2007  ·  hash:3accf883
Multidimensional tags, cooperative populations, and genetic programming
L Spector, J Klein
Genetic Programming Theory and Practice IV, 97-112, 2007  ·  2007  ·  hash:9c70b9b0
Stochastic training of a biologically plausible spino-neuromuscular system model
SP Gotshall, T Soule
Proceedings of the 9th annual conference on genetic and evolutionary …, 2007  ·  2007  ·  hash:fcd0174b
Evolutionary optimization of cooperative heterogeneous teams
T Soule, RB Heckendorn
Evolutionary and Bio-inspired Computation: Theory and Applications 6563, 45-54, 2007  ·  2007  ·  hash:5e290d47
Genetic Programming: Theory and Practice: An Introduction to Volume IV
T Soule, RL Riolo, B Worzel
Genetic Programming Theory and Practice IV, 1-10, 2007  ·  2007  ·  hash:0d1b926a
Genetic programming: profiling reasonable parameter value windows with varying problem difficulty
A Piszcz, T Soule
International Journal of Innovative Computing and Applications 1 (2), 108-120, 2007  ·  2007  ·  hash:4bbaa70a
Genetic programming: Optimal population sizes for varying complexity problems
A Piszcz, T Soule
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006  ·  2006  ·  hash:0b3f1862
Microbial community structure in polluted Baltic Sea sediments
A Edlund, T Soule, S Sjöling, JK Jansson
Environmental microbiology 8 (2), 223-232, 2006  ·  2006  ·  hash:68863961
A survey of mutation techniques in genetic programming
A Piszcz, T Soule
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006  ·  2006  ·  hash:7fcb9a54
Genetic Programming: Analysis of Optimal Mutation Rates in a Problem with Varying Difficulty.
A Piszcz, T Soule
FLAIRS, 451-456, 2006  ·  2006  ·  hash:6050f9e6
Resilient individuals improve evolutionary search
T Soule
Artificial Life 12 (1), 17-34, 2006  ·  2006  ·  hash:66df2fcd
Dynamics of evolutionary robustness
A Piszcz, T Soule
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006  ·  2006  ·  hash:a3879bd4
Growth of self-canceling code in evolutionary systems
X Zhong, T Soule
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006  ·  2006  ·  hash:f0484802
Redundant genes and the evolution of robustness
R Thomason, T Soule
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006  ·  2006  ·  hash:3c8db3c9
Breeding swarms: a GA/PSO hybrid
M Settles, T Soule
Proceedings of the 7th annual conference on genetic and evolutionary …, 2005  ·  2005  ·  hash:8fef0ca3
Breeding swarms: A new approach to recurrent neural network training
M Settles, P Nathan, T Soule
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005  ·  2005  ·  hash:f2be5f24
Genetic Programming
M Keijzer, C Ryan, G Murphy, M Cattolico
Lecture Notes in Computer Science 3447, 2005  ·  2005  ·  hash:dc6f7b82
A layered decision model for cost-effective network defense
H Wei, D Frincke, J Alves-Foss, T Soule, H Pforsich
IRI-2005 IEEE International Conference on Information Reuse and Integration …, 2005  ·  2005  ·  hash:1747c7bf
Does genetic programming inherently adopt structured design techniques?
JM Hall, T Soule
Genetic programming theory and practice II, 159-174, 2005  ·  2005  ·  hash:5d8ed887
Function choice, resiliency and growth in genetic programming
S Besetti, T Soule
Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005  ·  2005  ·  hash:7ad06da4
Genetic programming: Parametric analysis of structure altering mutation techniques
A Piszcz, T Soule
Proceedings of the 7th annual workshop on Genetic and evolutionary …, 2005  ·  2005  ·  hash:38df2980
Evolutionary training of a biologically realistic spino-neuromuscular system
S Gotshall, C Canine, B Jennings, T Soule
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005  ·  2005  ·  hash:38be28df
How to choose appropriate function sets for gentic programming
G Wang, T Soule
European Conference on Genetic Programming, 198-207, 2004  ·  2004  ·  hash:25c8cb8c
How to choose appropriate function sets for GP
W Gang, T Soule
Proceedings of 7th European Conference on Genetic Programming (EuroGP’04 …, 2004  ·  2004  ·  hash:87039d77
Genetic Programming: 7th European Conference, EuroGP 2004, Coimbra, Portugal, April 5-7, 2004, Proceedings
M Keijzer
Springer Science & Business Media, 2004  ·  2004  ·  hash:8e931381
Genetic programming: theory and practice
B Worzel, R Riolo
Genetic programming theory and practice, 1-10, 2003  ·  2003  ·  hash:3a3f0835
Comparison of genetic algorithm and particle swarm optimizer when evolving a recurrent neural network
M Settles, B Rodebaugh, T Soule
Genetic and Evolutionary Computation Conference, 148-149, 2003  ·  2003  ·  hash:0c29d283
Behavioral diversity and a probabilistically optimal GP ensemble
K Imamura, T Soule, RB Heckendorn, JA Foster
Genetic Programming and Evolvable Machines 4, 235-253, 2003  ·  2003  ·  hash:5d50859e
Operator choice and the evolution of robust solutions
T Soule
Genetic Programming Theory and Practice, 257-269, 2003  ·  2003  ·  hash:ed11718a
Cooperative evolution on the intertwined spirals problem
T Soule
European Conference on Genetic Programming, 434-442, 2003  ·  2003  ·  hash:2881f523
A hybrid GA/PSO to evolve artificial recurrent neural networks
M Settles, T Soule
Intelligent Engineering Systems Through Aritificial Neural Networks 3, 51-56, 2003  ·  2003  ·  hash:4afedb09
Exons and code growth in genetic programming
T Soule
Genetic Programming: 5th European Conference, EuroGP 2002 Kinsale, Ireland …, 2002  ·  2002  ·  hash:dbfb8e4e
An analysis of the causes of code growth in genetic programming
T Soule, RB Heckendorn
Genetic Programming and Evolvable Machines 3, 283-309, 2002  ·  2002  ·  hash:9ae0db33
N-version genetic programming via fault masking
K Imamura, RB Heckendorn, T Soule, JA Foster
Genetic Programming: 5th European Conference, EuroGP 2002 Kinsale, Ireland …, 2002  ·  2002  ·  hash:291ef161
Abstention reduces errors—decision abstaining N-version genetic programming
K Imamura, RB Heckendorn, T Soule, JA Foster
Proceedings of the 4th Annual Conference on Genetic and Evolutionary …, 2002  ·  2002  ·  hash:07904f89
Evolving a strongly recurrent neural network to simulate biological neurons
T Soule, YY Chen, RB Wells
IEEE 2002 28th Annual Conference of the Industrial Electronics Society …, 2002  ·  2002  ·  hash:01e0b027
A genetic algorithm with multiple reading frames
T Soule, AE Ball
Goodman, AS Wu, WB Langdon, HM Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk …, 2001  ·  2001  ·  hash:6efc254f
Function sets in genetic programming
T Soule, RB Heckendorn
Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001  ·  2001  ·  hash:369a5828
Heterogeneity and specialization in evolving teams
T Soule
Proceedings of the 2nd Annual Conference on Genetic and Evolutionary …, 2000  ·  2000  ·  hash:0680632f
Quantum Genetic Algorithms.
B Rylander, T Soule, JA Foster, J Alves-Foss
GECCO, 373, 2000  ·  2000  ·  hash:2f4a3bbb
The evolution of size and shape
WB Langdon, T Soule, R Poli, JA Foster
[no publisher info]  ·  1999  ·  hash:a06cffb8
Voting teams: A cooperative approach to non-typical problems using genetic programming
T Soule
Proceedings of the Genetic and Evolutionary Computation Conference 1, 916-922, 1999  ·  1999  ·  hash:06804d60
Effects of code growth and parsimony pressure on populations in genetic programming
T Soule, JA Foster
Evolutionary computation 6 (4), 293-309, 1998  ·  1998  ·  hash:9615809c
Removal bias: a new cause of code growth in tree based evolutionary programming
T Soule, JA Foster
1998 IEEE international conference on evolutionary computation proceedings …, 1998  ·  1998  ·  hash:2d444483
Code size and depth flows in genetic programming
T Soule, JA Foster
Genetic programming, 313-320, 1997  ·  1997  ·  hash:3506555f
Genetic Algorithm Hardness Measures Applied to the Maximum Clique Problem.
T Soule, JA Foster
ICGA, 81-88, 1997  ·  1997  ·  hash:46dfc387
Support for multiple causes of code growth in GP
T Soule, JA Foster
Position paper at the Workshop on Evolutionary Computation with Variable …, 1997  ·  1997  ·  hash:e6345a1c
Using genetic programming to approximate maximum clique
T Soule, JA Foster, J Dickinson
Proceedings of the 1st annual conference on genetic programming, 400-405, 1996  ·  1996  ·  hash:c03109ad
Preprint not peer reviewed
MX Bryar Shareef, S Sun, A Vakanski, J Ding, C Ning, HD Cheng
[no publisher info]  ·  [no date info]  ·  hash:d20948cf
RESEARCH ARTICLE Imputation of single-cell gene expression with
MB Badsha, R Li, B Liu, YI Li, M Xian, NE Banovich, AQ Fu
[no publisher info]  ·  [no date info]  ·  hash:0f5d920a
Imputation of single-cell gene expression with an autoencoder neural network Running title: Autoencoder for imputation of single-cell gene expression
MB Badsha, R Li, B Liu, YI Li, M Xian, NE Banovich, A Qiuyan
[no publisher info]  ·  [no date info]  ·  hash:5d0e245b