├── .gitattributes ├── .ipynb_checkpoints ├── 1_1_1_OS-CNN_easy_use_Run_and_Save_Model_for_multivariate-checkpoint.ipynb ├── 1_1_OS-CNN_easy_use_Run_and_Save_Model-checkpoint.ipynb ├── 1_2_OS-CNN_load_saved_model_for_prediction-checkpoint.ipynb └── 1_3_OS-CNN_network_structure-checkpoint.ipynb ├── 1_1_OS-CNN_easy_use_Run_and_Save_Model.ipynb ├── 1_2_OS-CNN_load_saved_model_for_prediction.ipynb ├── 2_1_1_OS-CNN_easy_use_Run_and_Save_Model_for_multivariate.ipynb ├── 2_2_1_OS_OS-CNN_easy_use_Run_and_Save_Model_for_multivariate.ipynb ├── 3_1_compare_result.ipynb ├── Appendix ├── .ipynb_checkpoints │ └── OS-CNN_network_structure-checkpoint.ipynb ├── A_pre_process_for_BTC_data_might_be_very_misleading.ipynb ├── OS-CNN_network_structure.ipynb ├── Proof of No representation ability lose.pdf └── The novelty of OS-CNN VS Inception.pdf ├── CD_diagram ├── .gitignore ├── LICENSE ├── README.md ├── cd-diagram.png ├── example.csv └── main.ipynb ├── Classifiers ├── .~OS_CNN.py ├── FCN.py ├── FCN_Kernel_size.py ├── OS_CNN │ ├── OS_CNN.py │ ├── OS_CNN_Structure_build.py │ ├── OS_CNN_easy_use.py │ ├── OS_CNN_res.py │ ├── OS_CNN_res_easy_use.py │ ├── OS_block.py │ ├── __pycache__ │ │ ├── OS_CNN.cpython-36.pyc │ │ ├── OS_CNN_Structure_build.cpython-36.pyc │ │ ├── OS_CNN_easy_use.cpython-36.pyc │ │ └── log_manager.cpython-36.pyc │ └── log_manager.py ├── ResNet.py └── __pycache__ │ ├── FCN.cpython-35.pyc │ ├── FCN.cpython-36.pyc │ ├── FCN_large.cpython-36.pyc │ ├── OS_CNN.cpython-35.pyc │ ├── OS_CNN.cpython-36.pyc │ ├── OS_CNN_easy_use.cpython-35.pyc │ ├── OS_CNN_easy_use.cpython-36.pyc │ ├── OS_CNN_with_channel_pooling_easy_use.cpython-35.pyc │ └── ResNet.cpython-36.pyc ├── Code_example_of_theoretical_proof ├── .ipynb_checkpoints │ ├── 1_1_Deep_Learning_Convolution_and_Convolution_theorem-checkpoint.ipynb │ ├── 2_1_Time_and_Space_Complexity_of_OS-CNN_Vs_FCN_ResNet-checkpoint.ipynb │ ├── 3_1_Positional_information_loss_of_FCN_and_how_OS-CNN_overcome_this-checkpoint.ipynb │ ├── 3_2_FCN_with_different_kernel_size-checkpoint.ipynb │ ├── 3_3_verification _of_Pytorch_FCN_&_ResNet_implementation-checkpoint.ipynb │ ├── 4_1_OS-CNN_load_saved_model_and_visualization_weight-checkpoint.ipynb │ ├── 4_2_Frequency_Resolution-checkpoint.ipynb │ ├── 4_3_Check_Capability_Equivalent-checkpoint.ipynb │ ├── 4_3_Check_No_representation_ability_lose-checkpoint.ipynb │ ├── 4_4_calculate_prime_model_size-checkpoint.ipynb │ └── 4_5_Enough_channel-checkpoint.ipynb ├── 1_1_Deep_Learning_Convolution_and_Convolution_theorem.ipynb ├── 2_1_Time_and_Space_Complexity_of_OS-CNN_Vs_FCN_ResNet.ipynb ├── 3_1_Positional_information_loss_of_FCN_and_how_OS-CNN_overcome_this.ipynb ├── 3_2_FCN_with_different_kernel_size.ipynb ├── 3_3_verification _of_Pytorch_FCN_&_ResNet_implementation.ipynb ├── 4_1_OS-CNN_load_saved_model_and_visualization_weight.ipynb ├── 4_2_Frequency_Resolution.ipynb ├── 4_3_Check_No_representation_ability_lose.ipynb ├── 4_4_calculate_prime_model_size.ipynb ├── 4_5_Enough_channel.ipynb ├── Example_Result │ └── Handcrafted_Dataset │ │ ├── Handcrafted_Dataset_for_positional_information_loss │ │ ├── Handcrafted_Dataset_for_positional_information_lossBest_model │ │ ├── Handcrafted_Dataset_for_positional_information_loss_.txt │ │ └── Handcrafted_Dataset_for_positional_information_lossinitial_model │ │ └── Handcrafted_Dataset_for_positional_information_loss_2 │ │ ├── Handcrafted_Dataset_for_positional_information_loss_2Best_model │ │ ├── Handcrafted_Dataset_for_positional_information_loss_2_.txt │ │ └── Handcrafted_Dataset_for_positional_information_loss_2initial_model ├── model_size_compare.pdf └── zero_mask_faster_than_for_loop.ipynb ├── Example_Datasets ├── MTS_Archive │ ├── NetFlow │ │ └── NetFlow.mat │ └── UWave │ │ └── UWave.mat ├── UCRArchive_2018 │ ├── BME │ │ ├── BME_TEST.tsv │ │ ├── BME_TRAIN.tsv │ │ ├── README.md │ │ └── desktop.ini │ ├── CBF │ │ ├── CBF_TEST.tsv │ │ ├── CBF_TRAIN.tsv │ │ ├── README.md │ │ └── desktop.ini │ ├── ECG200 │ │ ├── ECG200_TEST.tsv │ │ ├── ECG200_TRAIN.tsv │ │ ├── README.md │ │ └── desktop.ini │ ├── FiftyWords │ │ ├── FiftyWords_TEST.tsv │ │ ├── FiftyWords_TRAIN.tsv │ │ ├── README.md │ │ └── desktop.ini │ └── ShapeletSim │ │ ├── README.md │ │ ├── ShapeletSim_TEST.tsv │ │ ├── ShapeletSim_TRAIN.tsv │ │ └── desktop.ini └── UEAArchive_2018 │ ├── ArticularyWordRecognition │ ├── ArticularyWordRecognition_TEST.ts │ └── ArticularyWordRecognition_TRAIN.ts │ └── UWaveGestureLibrary │ ├── UWaveGestureLibrary_TEST.ts │ └── UWaveGestureLibrary_TRAIN.ts ├── Example_Results_of_OS_CNN └── OS_CNN_result_iter_0 │ └── FiftyWords │ ├── FiftyWordsBest_model │ ├── FiftyWords_.txt │ └── FiftyWordsinitial_model ├── Example_Results_of_OS_CNN_for_multivariate └── OS_CNN_result_iter_0 │ ├── NetFlow │ ├── NetFlowBest_model │ ├── NetFlow_.txt │ └── NetFlowinitial_model │ ├── UWave │ ├── UWaveBest_model │ ├── UWave_.txt │ └── UWaveinitial_model │ └── UWaveGestureLibrary │ ├── UWaveGestureLibraryBest_model │ ├── UWaveGestureLibrary_.txt │ └── UWaveGestureLibraryinitial_model ├── Full_Result ├── Result_for_128_UCR_datasets.csv ├── Result_for_30_UEA_datasets.csv ├── Result_for_85_UCR_datasets.csv └── Result_of_OS_CNN_each_iter_for_128_datasets.csv ├── Full_result_on_85_datasets.csv ├── LICENSE ├── OS_CNN_Colab_demo.ipynb ├── Readme.md ├── Texas_Sharpshooter_plot ├── .ipynb_checkpoints │ ├── Draw_Texas_Sharpshooter_plot-checkpoint.ipynb │ └── Draw_accuracy_vs_accuracy-checkpoint.ipynb ├── 1_1_Calculate_DTW_matrix_and_test_acc.ipynb ├── 1_2_Calculate_DTW_N_fold_acc.ipynb ├── 2_1_Calculate_OS_CNN_N_fold_acc.ipynb ├── 2_2_check_OS-CNN_N_fold_finish.ipynb ├── 3_1_Draw_accuracy_vs_accuracy.ipynb ├── 3_2_Draw_Texas_Sharpshooter_plot.ipynb ├── Full_result.csv ├── InceptionTime_VS_OS-CNN.csv ├── N_fold_dataset_sampler.py ├── Results_on_128_datasets.csv └── Texa sharpshooter_of_OS_and_CDTW.pdf ├── result_compare.pdf └── utils ├── __pycache__ ├── log_manager.cpython-35.pyc └── log_manager.cpython-36.pyc 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