Academic literature on the topic 'Interpretable By Design Architectures'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Interpretable By Design Architectures.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Interpretable By Design Architectures"
Zhang, Xinyu, Vincent C. S. Lee, Jia Rong, Feng Liu, and Haoyu Kong. "Multi-channel convolutional neural network architectures for thyroid cancer detection." PLOS ONE 17, no. 1 (January 21, 2022): e0262128. http://dx.doi.org/10.1371/journal.pone.0262128.
Full textXie, Nan, and Yuexian Hou. "MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (May 18, 2021): 15933–34. http://dx.doi.org/10.1609/aaai.v35i18.17963.
Full textDi Gioacchino, Andrea, Jonah Procyk, Marco Molari, John S. Schreck, Yu Zhou, Yan Liu, Rémi Monasson, Simona Cocco, and Petr Šulc. "Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection." PLOS Computational Biology 18, no. 9 (September 29, 2022): e1010561. http://dx.doi.org/10.1371/journal.pcbi.1010561.
Full textFeinauer, Christoph, Barthelemy Meynard-Piganeau, and Carlo Lucibello. "Interpretable pairwise distillations for generative protein sequence models." PLOS Computational Biology 18, no. 6 (June 23, 2022): e1010219. http://dx.doi.org/10.1371/journal.pcbi.1010219.
Full textZhang, Zizhao, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, and Tomas Pfister. "Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 3 (June 28, 2022): 3417–25. http://dx.doi.org/10.1609/aaai.v36i3.20252.
Full textGao, Xinjian, Tingting Mu, John Yannis Goulermas, Jeyarajan Thiyagalingam, and Meng Wang. "An Interpretable Deep Architecture for Similarity Learning Built Upon Hierarchical Concepts." IEEE Transactions on Image Processing 29 (2020): 3911–26. http://dx.doi.org/10.1109/tip.2020.2965275.
Full textLiu, Hao, Youchao Sun, Xiaoyu Wang, Honglan Wu, and Hao Wang. "NPFormer: Interpretable rotating machinery fault diagnosis architecture design under heavy noise operating scenarios." Mechanical Systems and Signal Processing 223 (January 2025): 111878. http://dx.doi.org/10.1016/j.ymssp.2024.111878.
Full textSturm, Patrick Obin, and Anthony S. Wexler. "Conservation laws in a neural network architecture: enforcing the atom balance of a Julia-based photochemical model (v0.2.0)." Geoscientific Model Development 15, no. 8 (April 28, 2022): 3417–31. http://dx.doi.org/10.5194/gmd-15-3417-2022.
Full textJacob, Stefan, and Christian Koch. "Unveiling weak auditory evoked potentials using data-driven filtering." Journal of the Acoustical Society of America 154, no. 4_supplement (October 1, 2023): A141. http://dx.doi.org/10.1121/10.0023054.
Full textZhou, Shuhui. "An exploration of KANs and CKANs for more efficient deep learning architecture." Applied and Computational Engineering 83, no. 1 (September 27, 2024): 20–25. http://dx.doi.org/10.54254/2755-2721/83/2024glg0060.
Full textDissertations / Theses on the topic "Interpretable By Design Architectures"
Jeanneret, Sanmiguel Guillaume. "Towards explainable and interpretable deep neural networks." Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC229.
Full textDeep neural architectures have demonstrated outstanding results in a variety of computer vision tasks. However, their extraordinary performance comes at the cost of interpretability. As a result, the field of Explanable AI has emerged to understand what these models are learning as well as to uncover their sources of error. In this thesis, we explore the world of explainable algorithms to uncover the biases and variables used by these parametric models in the context of image classification. To this end, we divide this thesis into four parts. The first three chapters proposes several methods to generate counterfactual explanations. In the first chapter, we proposed to incorporate diffusion models to generate these explanations. Next, we link the research areas of adversarial attacks and counterfactuals. The next chapter proposes a new pipeline to generate counterfactuals in a fully black-box mode, \ie, using only the input and the prediction without accessing the model. The final part of this thesis is related to the creation of interpretable by-design methods. More specifically, we investigate how to extend vision transformers into interpretable architectures. Our proposed methods have shown promising results and have made a step forward in the knowledge frontier of current XAI literature
Kumar, Rakesh. "Holistic design for multi-core architectures." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3222991.
Full textTitle from first page of PDF file (viewed September 20, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 182-193).
Poyias, Kyriakos. "Design-by-contract for software architectures." Thesis, University of Leicester, 2014. http://hdl.handle.net/2381/28924.
Full textShao, Yakun. "Design and Modeling of Specialized Architectures." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493560.
Full textEngineering and Applied Sciences - Computer Science
Davies, Daniel. "Representation of multiple engineering viewpoints in Computer Aided Design through computer-interpretable descriptive markup." Thesis, University of Bath, 2008. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488893.
Full textIppolito, Corey A. "Software architectures for flight simulation." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15749.
Full textNuzman, Joseph. "Memory subsystem design for explicit multithreading architectures." College Park, Md. : University of Maryland, 2003. http://hdl.handle.net/1903/146.
Full textThesis research directed by: Dept. of Electrical and Computer Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Smith, Richard Bartlett. "Design and integrity of deterministic system architectures." Thesis, University College London (University of London), 2007. http://discovery.ucl.ac.uk/1445115/.
Full textRoomi, Akeel S. "Multiprocessor computer architectures : algorithmic design and applications." Thesis, Loughborough University, 1989. https://dspace.lboro.ac.uk/2134/10872.
Full textDasgupta, Sohini. "Formal design and synthesis of GALS architectures." Thesis, University of Newcastle Upon Tyne, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.446196.
Full textBooks on the topic "Interpretable By Design Architectures"
Cpałka, Krzysztof. Design of Interpretable Fuzzy Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52881-6.
Full textRoberto, Feo, and Hurtado Rosario, eds. Abandon architectures. [Miami?]: (Name) Publications, 2009.
Find full textPenny, Nii, and United States. National Aeronautics and Space Administration., eds. Software design by reusing architectures. Stanford, Calif: Knowledge Systems Laboratory, Dept. of Computer Science, Stanford University, 1992.
Find full textPenny, Nii K., and United States. National Aeronautics and Space Administration., eds. Software design by reusing architectures. Stanford, Calif: Knowledge Systems Laboratory, Dept. of Computer Science, Stanford University, 1992.
Find full textMinoli, Daniel. Internet architectures. New York: Wiley, 1999.
Find full textPoletti, Linda. Interpretare e progettare: La rigenerazione partecipata dagli spazi scolastici per l'infanzia : il caso della Scuola Cadorna a Milano. Santarcangelo di Romagna (RN): Maggioli editore, 2019.
Find full textCiminiera, Luigi. Advanced microprocessor architectures. Wokingham, England: Addison-Wesley Pub. Co., 1987.
Find full textSvetlana, Kartashev, and Kartashev Steven I, eds. Supercomputing systems: Architectures, design, and performance. New York: Van Nostrand Reinhold, 1990.
Find full textFrance, Fondation électricité de, Institut français d'architecture, and Espace Electra, eds. Architectures de l'électricité. Paris: Norma, 1992.
Find full textFrance, Fondation Electricite de, Institute Francais d'Architecture, and L'Espace Electra, eds. Architectures de l'electricite. Paris: NORMA, 1992.
Find full textBook chapters on the topic "Interpretable By Design Architectures"
Perumal, Boominathan, Swathi Jamjala Narayanan, and Sangeetha Saman. "Explainable Deep Learning Architectures for Product Recommendations." In Explainable, Interpretable, and Transparent AI Systems, 226–55. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003442509-13.
Full textVaucher, Cicero. "Synthesizer Architectures." In Analog Circuit Design, 291–329. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2602-2_14.
Full textAnker, Peder. "Computing environmental design." In Computer Architectures, 15–34. Milton Park, Abingdon, Oxon : New York, NY : Routledge, 2020 | Series: Routledge research in design, technology: Routledge, 2019. http://dx.doi.org/10.4324/9780429264306-2.
Full textTang, Antony, Minh H. Tran, Jun Han, and Hans van Vliet. "Design Reasoning Improves Software Design Quality." In Quality of Software Architectures. Models and Architectures, 28–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87879-7_2.
Full textBrennan, AnnMarie. "The work of design and the design of work." In Computer Architectures, 35–57. Milton Park, Abingdon, Oxon : New York, NY : Routledge, 2020 | Series: Routledge research in design, technology: Routledge, 2019. http://dx.doi.org/10.4324/9780429264306-3.
Full textSelf, Douglas. "Preamplifier Architectures." In Small Signal Audio Design, 193–98. Third edition. | Abingdon, Oxon ; New York, NY : Routledge, 2020.: Focal Press, 2020. http://dx.doi.org/10.4324/9781003031833-7.
Full textSundström, Lars. "Linear Transmitter Architectures." In Analog Circuit Design, 303–23. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/0-306-47950-8_15.
Full textLano, Kevin, José Luiz Fiadeiro, and Luís Andrade. "Software Architectures." In Software Design Using Java 2, 50–86. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-1-4039-1466-8_3.
Full textLafi, Walid, and Didier Lattard. "3D Architectures." In Design Technology for Heterogeneous Embedded Systems, 321–38. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1125-9_15.
Full textAhmed, Imran. "ADC Architectures." In Pipelined ADC Design and Enhancement Techniques, 7–17. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8652-5_2.
Full textConference papers on the topic "Interpretable By Design Architectures"
Mills, Keith G., Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, and Di Niu. "Building Optimal Neural Architectures Using Interpretable Knowledge." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5726–35. IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00547.
Full textCerasuolo, Francesco, Idio Guarino, Vincenzo Spadari, Giuseppe Aceto, and Antonio Pescapé. "XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification." In 2024 IFIP Networking Conference (IFIP Networking), 757–62. IEEE, 2024. http://dx.doi.org/10.23919/ifipnetworking62109.2024.10619769.
Full textRazak, Tajul Rosli, Jonathan M. Garibaldi, and Christian Wagner. "A Comprehensive Guideline to Design Interpretable Hierarchical Fuzzy Systems." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10612113.
Full textPluska, Alexander, Pascal Welke, Thomas Gärtner, and Sagar Malhotra. "Logical Distillation of Graph Neural Networks." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}, 920–30. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/86.
Full textRana, Amrita, and Kyung Ki Kim. "Tailoring Backbone Architectures for SSD." In 2024 21st International SoC Design Conference (ISOCC), 388–89. IEEE, 2024. http://dx.doi.org/10.1109/isocc62682.2024.10762601.
Full textChapman, Martin, and Vasa Curcin. "A Microservice Architecture for the Design of Computer-Interpretable Guideline Processing Tools." In IEEE EUROCON 2019 -18th International Conference on Smart Technologies. IEEE, 2019. http://dx.doi.org/10.1109/eurocon.2019.8861830.
Full textFusco, Francesco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, and Johannes Schneider. "RecoNet: An Interpretable Neural Architecture for Recommender Systems." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/325.
Full textWang, Liwei, Suraj Yerramilli, Akshay Iyer, Daniel Apley, Ping Zhu, and Wei Chen. "Data-Driven Design via Scalable Gaussian Processes for Multi-Response Big Data With Qualitative Factors." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71570.
Full textDolar, Tuba, Doksoo Lee, and Wei Chen. "Interpretable Neural Network Analyses for Understanding Complex Physical Interactions in Engineering Design." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-115103.
Full textYe, Zhen, Wei Xue, Xu Tan, Qifeng Liu, and Yike Guo. "NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/651.
Full textReports on the topic "Interpretable By Design Architectures"
Bailey Bond, Robert, Pu Ren, James Fong, Hao Sun, and Jerome F. Hajjar. Physics-informed Machine Learning Framework for Seismic Fragility Analysis of Steel Structures. Northeastern University, August 2024. http://dx.doi.org/10.17760/d20680141.
Full textMeng, Teresa H. Y. Asynchronous Design for Parallel Processing Architectures. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada266523.
Full textMeng, Teresa H. Asynchronous Design for Parallel Processing Architectures. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada237696.
Full textMeng, Teresa H. Asynchronous Design for Parallel Processing Architectures. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada230374.
Full textAkers, Lex A., Mark R. Walker, and Siamack Haghighi. Design and Training of Limited-Interconnect Architectures. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada251598.
Full textCarothers, Christopher. Enabling Co-Design of Multi-Layer Exascale Storage Architectures. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1311761.
Full textWeisgraber, Todd H., Ward Small, Jeremy M. Lenhardt, Thomas Metz, Christopher M. Spadaccini, Robert S. Maxwell, Eric B. Duoss, and Thomas S. Wilson. Universal Design Curves for Elastomeric Direct Ink-Writing Architectures. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1455400.
Full textParhi, Keshab K. Design Tools and Architectures for Dedicated Digital Signal Processing (DSP) Processors. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada397589.
Full textMudunuru, Maruti, James Ang, Halappanavar Mahentesh, Simon Hammond, Gokhale Maya, James Hoe, Sreepathi Sarat, Norman Matthew, Ivy Peng, and Philip Jones. Perspectives on AI Architectures and Co-design for Earth System Predictability. Office of Scientific and Technical Information (OSTI), March 2023. http://dx.doi.org/10.2172/2378014.
Full textMaccarone, Lee, Michael Rowland, Robert Brulles, and Andrew Hahn. Design of Defensive Cybersecurity Architectures for High Temperature, Gas-Cooled Reactors. Office of Scientific and Technical Information (OSTI), August 2024. http://dx.doi.org/10.2172/2463004.
Full text