Journal articles on the topic 'Black-Box Classifier'
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Lee, Hansoo, and Sungshin Kim. "Black-Box Classifier Interpretation Using Decision Tree and Fuzzy Logic-Based Classifier Implementation." International Journal of Fuzzy Logic and Intelligent Systems 16, no. 1 (March 31, 2016): 27–35. http://dx.doi.org/10.5391/ijfis.2016.16.1.27.
Full textRajabi, Arezoo, Mahdieh Abbasi, Rakesh B. Bobba, and Kimia Tajik. "Adversarial Images Against Super-Resolution Convolutional Neural Networks for Free." Proceedings on Privacy Enhancing Technologies 2022, no. 3 (July 2022): 120–39. http://dx.doi.org/10.56553/popets-2022-0065.
Full textJi, Disi, Robert L. Logan, Padhraic Smyth, and Mark Steyvers. "Active Bayesian Assessment of Black-Box Classifiers." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 7935–44. http://dx.doi.org/10.1609/aaai.v35i9.16968.
Full textTran, Thien Q., Kazuto Fukuchi, Youhei Akimoto, and Jun Sakuma. "Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (June 28, 2022): 9614–22. http://dx.doi.org/10.1609/aaai.v36i9.21195.
Full textPark, Hosung, Gwonsang Ryu, and Daeseon Choi. "Partial Retraining Substitute Model for Query-Limited Black-Box Attacks." Applied Sciences 10, no. 20 (October 14, 2020): 7168. http://dx.doi.org/10.3390/app10207168.
Full textLou, Chenlu, and Xiang Pan. "Detect Black Box Signals with Enhanced Spectrum and Support Vector Classifier." Journal of Physics: Conference Series 1438 (January 2020): 012003. http://dx.doi.org/10.1088/1742-6596/1438/1/012003.
Full textChen, Pengpeng, Hailong Sun, Yongqiang Yang, and Zhijun Chen. "Adversarial Learning from Crowds." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (June 28, 2022): 5304–12. http://dx.doi.org/10.1609/aaai.v36i5.20467.
Full textMahmood, Kaleel, Deniz Gurevin, Marten van Dijk, and Phuoung Ha Nguyen. "Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples." Entropy 23, no. 10 (October 18, 2021): 1359. http://dx.doi.org/10.3390/e23101359.
Full textHartono, Pitoyo. "A transparent cancer classifier." Health Informatics Journal 26, no. 1 (December 31, 2018): 190–204. http://dx.doi.org/10.1177/1460458218817800.
Full textMasuda, Haruki, Tsunato Nakai, Kota Yoshida, Takaya Kubota, Mitsuru Shiozaki, and Takeshi Fujino. "Black-Box Adversarial Attack against Deep Neural Network Classifier Utilizing Quantized Probability Output." Journal of Signal Processing 24, no. 4 (July 15, 2020): 145–48. http://dx.doi.org/10.2299/jsp.24.145.
Full textPark, Dongjin, and Kyungkoo Jun. "Vehicle Plate Detection in Car Black Box Video." Advances in Multimedia 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7587841.
Full textKim, Jae Myung, Hyungjin Kim, Chanwoo Park, and Jungwoo Lee. "REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 11262–69. http://dx.doi.org/10.1609/aaai.v34i07.6786.
Full textLin, Zhen, Lucas Glass, M. Brandon Westover, Cao Xiao, and Jimeng Sun. "SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7497–505. http://dx.doi.org/10.1609/aaai.v36i7.20714.
Full textNauta, Meike, Ricky Walsh, Adam Dubowski, and Christin Seifert. "Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis." Diagnostics 12, no. 1 (December 24, 2021): 40. http://dx.doi.org/10.3390/diagnostics12010040.
Full textMayr, Franz, Sergio Yovine, and Ramiro Visca. "Property Checking with Interpretable Error Characterization for Recurrent Neural Networks." Machine Learning and Knowledge Extraction 3, no. 1 (February 12, 2021): 205–27. http://dx.doi.org/10.3390/make3010010.
Full textLapid, Raz, Zvika Haramaty, and Moshe Sipper. "An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Convolutional Neural Networks." Algorithms 15, no. 11 (October 31, 2022): 407. http://dx.doi.org/10.3390/a15110407.
Full textCombs, Kara, Mary Fendley, and Trevor Bihl. "A Preliminary Look at Heuristic Analysis for Assessing Artificial Intelligence Explainability." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 8 (June 1, 2020): 61–72. http://dx.doi.org/10.37394/232018.2020.8.9.
Full textAlahmed, Shahad, Qutaiba Alasad, Maytham M. Hammood, Jiann-Shiun Yuan, and Mohammed Alawad. "Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML." Computers 11, no. 7 (July 20, 2022): 115. http://dx.doi.org/10.3390/computers11070115.
Full textRostami, Mehrdad, and Mourad Oussalah. "Cancer prediction using graph-based gene selection and explainable classifier." Finnish Journal of eHealth and eWelfare 14, no. 1 (April 14, 2022): 61–78. http://dx.doi.org/10.23996/fjhw.111772.
Full textDu, Xiaohu, Jie Yu, Zibo Yi, Shasha Li, Jun Ma, Yusong Tan, and Qinbo Wu. "A Hybrid Adversarial Attack for Different Application Scenarios." Applied Sciences 10, no. 10 (May 21, 2020): 3559. http://dx.doi.org/10.3390/app10103559.
Full textBruni, Renato, Gianpiero Bianchi, and Pasquale Papa. "Hyperparameter Black-Box Optimization to Improve the Automatic Classification of Support Tickets." Algorithms 16, no. 1 (January 10, 2023): 46. http://dx.doi.org/10.3390/a16010046.
Full textFong, Simon. "Using Hierarchical Time Series Clustering Algorithm and Wavelet Classifier for Biometric Voice Classification." Journal of Biomedicine and Biotechnology 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/215019.
Full textWang, Huaijun, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, and Lei Yu. "A correlation-based binary particle swarm optimization method for feature selection in human activity recognition." International Journal of Distributed Sensor Networks 14, no. 4 (April 2018): 155014771877278. http://dx.doi.org/10.1177/1550147718772785.
Full textAlharbi, Basma, Zhenwen Liang, Jana M. Aljindan, Ammar K. Agnia, and Xiangliang Zhang. "Explainable and Interpretable Anomaly Detection Models for Production Data." SPE Journal 27, no. 01 (November 30, 2021): 349–63. http://dx.doi.org/10.2118/208586-pa.
Full textZarnelly, Zarnelly. "KLASIFIKASI PERMASALAHAN AGENSTOK MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIER PADA PT. HPAI-PEKANBARU." Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi 5, no. 2 (August 15, 2019): 208. http://dx.doi.org/10.24014/rmsi.v5i2.7611.
Full textSudars, Kaspars, Ivars Namatēvs, and Kaspars Ozols. "Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach." Journal of Imaging 8, no. 2 (January 30, 2022): 30. http://dx.doi.org/10.3390/jimaging8020030.
Full textY. A. Amer, Ahmed, Julie Vranken, Femke Wouters, Dieter Mesotten, Pieter Vandervoort, Valerie Storms, Stijn Luca, Bart Vanrumste, and Jean-Marie Aerts. "Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements." Applied Sciences 9, no. 17 (August 27, 2019): 3525. http://dx.doi.org/10.3390/app9173525.
Full textWei, Chih-Chiang, Gene Jiing-Yun You, Li Chen, Chien-Chang Chou, and Jinsheng Roan. "Diagnosing Rain Occurrences Using Passive Microwave Imagery: A Comparative Study on Probabilistic Graphical Models and “Black Box” Models." Journal of Atmospheric and Oceanic Technology 32, no. 10 (October 2015): 1729–44. http://dx.doi.org/10.1175/jtech-d-14-00164.1.
Full textAlfarra, Motasem, Juan C. Perez, Ali Thabet, Adel Bibi, Philip H. S. Torr, and Bernard Ghanem. "Combating Adversaries with Anti-adversaries." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 5992–6000. http://dx.doi.org/10.1609/aaai.v36i6.20545.
Full textAslam, Nida, Irfan Ullah Khan, Samiha Mirza, Alanoud AlOwayed, Fatima M. Anis, Reef M. Aljuaid, and Reham Baageel. "Interpretable Machine Learning Models for Malicious Domains Detection Using Explainable Artificial Intelligence (XAI)." Sustainability 14, no. 12 (June 16, 2022): 7375. http://dx.doi.org/10.3390/su14127375.
Full textJaafreh, Russlan, Jung-Gu Kim, and Kotiba Hamad. "Interpretable Machine Learning Analysis of Stress Concentration in Magnesium: An Insight beyond the Black Box of Predictive Modeling." Crystals 12, no. 9 (September 2, 2022): 1247. http://dx.doi.org/10.3390/cryst12091247.
Full textZhou, Yuxuan, Huangxun Chen, Chenyu Huang, and Qian Zhang. "WiAdv." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 2 (July 4, 2022): 1–25. http://dx.doi.org/10.1145/3534618.
Full textXu, Zhiwu, Cheng Wen, Shengchao Qin, and Mengda He. "Extracting automata from neural networks using active learning." PeerJ Computer Science 7 (April 19, 2021): e436. http://dx.doi.org/10.7717/peerj-cs.436.
Full textSuri, Anshuman, and David Evans. "Formalizing and Estimating Distribution Inference Risks." Proceedings on Privacy Enhancing Technologies 2022, no. 4 (October 2022): 528–51. http://dx.doi.org/10.56553/popets-2022-0121.
Full textDe Falco, Ivanoe, Giuseppe De Pietro, and Giovanna Sannino. "A Two-Step Approach for Classification in Alzheimer’s Disease." Sensors 22, no. 11 (May 24, 2022): 3966. http://dx.doi.org/10.3390/s22113966.
Full textPatil, Shruti, Vijayakumar Varadarajan, Siddiqui Mohd Mazhar, Abdulwodood Sahibzada, Nihal Ahmed, Onkar Sinha, Satish Kumar, Kailash Shaw, and Ketan Kotecha. "Explainable Artificial Intelligence for Intrusion Detection System." Electronics 11, no. 19 (September 27, 2022): 3079. http://dx.doi.org/10.3390/electronics11193079.
Full textCorley, Becky, Sofia Koukoura, James Carroll, and Alasdair McDonald. "Combination of Thermal Modelling and Machine Learning Approaches for Fault Detection in Wind Turbine Gearboxes." Energies 14, no. 5 (March 3, 2021): 1375. http://dx.doi.org/10.3390/en14051375.
Full textChen, Kuan-Yung, Hsi-Chieh Lee, Tsung-Chieh Lin, Chih-Ying Lee, and Zih-Ping Ho. "Deep Learning Algorithms with LIME and Similarity Distance Analysis on COVID-19 Chest X-ray Dataset." International Journal of Environmental Research and Public Health 20, no. 5 (February 28, 2023): 4330. http://dx.doi.org/10.3390/ijerph20054330.
Full textCofre-Martel, Sergio, Enrique Lopez Droguett, and Mohammad Modarres. "Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables." Shock and Vibration 2021 (May 27, 2021): 1–15. http://dx.doi.org/10.1155/2021/9937846.
Full textJung, Jiyoon, Eunsu Kim, Hyeseong Lee, Sung Hak Lee, and Sangjeong Ahn. "Automated Hybrid Model for Detecting Perineural Invasion in the Histology of Colorectal Cancer." Applied Sciences 12, no. 18 (September 13, 2022): 9159. http://dx.doi.org/10.3390/app12189159.
Full textCandelieri, Antonio, and Francesco Archetti. "Sparsifying to optimize over multiple information sources: an augmented Gaussian process based algorithm." Structural and Multidisciplinary Optimization 64, no. 1 (April 5, 2021): 239–55. http://dx.doi.org/10.1007/s00158-021-02882-7.
Full textHildebrandt, Marcel, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, and Volker Tresp. "Reasoning on Knowledge Graphs with Debate Dynamics." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4123–31. http://dx.doi.org/10.1609/aaai.v34i04.6600.
Full textShao, Xiaoting, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, and Kristian Kersting. "Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 9533–40. http://dx.doi.org/10.1609/aaai.v35i11.17148.
Full textMoskalenko, V. V., A. S. Moskalenko, A. G. Korobov, and M. O. Zaretsky. "IMAGE CLASSIFIER RESILIENT TO ADVERSARIAL ATTACKS, FAULT INJECTIONS AND CONCEPT DRIFT – MODEL ARCHITECTURE AND TRAINING ALGORITHM." Radio Electronics, Computer Science, Control, no. 3 (October 16, 2022): 86. http://dx.doi.org/10.15588/1607-3274-2022-3-9.
Full textGozzi, Noemi, Edoardo Giacomello, Martina Sollini, Margarita Kirienko, Angela Ammirabile, Pierluca Lanzi, Daniele Loiacono, and Arturo Chiti. "Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs." Diagnostics 12, no. 9 (August 28, 2022): 2084. http://dx.doi.org/10.3390/diagnostics12092084.
Full textSteiner, Margaret C., Keylie M. Gibson, and Keith A. Crandall. "Drug Resistance Prediction Using Deep Learning Techniques on HIV-1 Sequence Data." Viruses 12, no. 5 (May 19, 2020): 560. http://dx.doi.org/10.3390/v12050560.
Full textMahmood, Asad, Faizan Ahmad, Zubair Shafiq, Padmini Srinivasan, and Fareed Zaffar. "A Girl Has No Name: Automated Authorship Obfuscation using Mutant-X." Proceedings on Privacy Enhancing Technologies 2019, no. 4 (October 1, 2019): 54–71. http://dx.doi.org/10.2478/popets-2019-0058.
Full textYamashkin, Anatoliy, and Stanislav Yamashkin. "Analysis of the Inerka polygon metageosystems by means of Ensembles of machine learning models." InterCarto. InterGIS 28, no. 1 (2022): 613–28. http://dx.doi.org/10.35595/2414-9179-2022-1-28-613-628.
Full textSiino, Marco, Elisa Di Nuovo, Ilenia Tinnirello, and Marco La Cascia. "Fake News Spreaders Detection: Sometimes Attention Is Not All You Need." Information 13, no. 9 (September 9, 2022): 426. http://dx.doi.org/10.3390/info13090426.
Full textZafar, Muhammad Rehman, and Naimul Khan. "Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability." Machine Learning and Knowledge Extraction 3, no. 3 (June 30, 2021): 525–41. http://dx.doi.org/10.3390/make3030027.
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