Search results for "interpretability"

Hits ?▲	Authors	Title	Venue	Year	Link
13	Yoshinari Motokawa, Toshiharu Sugawara	Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
13	Emanuele Marconato, Andrea Passerini, Stefano Teso	Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning.	CoRR	2023	DBLP DOI BibTeX RDF
13	Md Abdul Kadir, Gowtham Krishna Addluri, Daniel Sonntag	Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency.	CoRR	2023	DBLP DOI BibTeX RDF
13	Gianluigi Lopardo, Frédéric Precioso, Damien Garreau	Faithful and Robust Local Interpretability for Textual Predictions.	CoRR	2023	DBLP DOI BibTeX RDF
13	Matthew Choi, Muhammad Adil Asif, John Willes, David Emerson	FlexModel: A Framework for Interpretability of Distributed Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Omid Davoodi, Shayan Mohammadizadehsamakosh, Majid Komeili	On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis.	CoRR	2023	DBLP DOI BibTeX RDF
13	Evan Crothers, Herna L. Viktor, Nathalie Japkowicz	Faithful to Whom? Questioning Interpretability Measures in NLP.	CoRR	2023	DBLP DOI BibTeX RDF
13	Uma Sushmitha Gunturi, Xiaohan Ding, Eugenia H. Rho	ToxVis: Enabling Interpretability of Implicit vs. Explicit Toxicity Detection Models with Interactive Visualization.	CoRR	2023	DBLP DOI BibTeX RDF
13	Shunsuke Kitada	Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives.	CoRR	2023	DBLP DOI BibTeX RDF
13	Jiawen Chen, Wancen Mu, Yun Li, Didong Li	On the Identifiability and Interpretability of Gaussian Process Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Gabriele Sarti, Nils Feldhus, Ludwig Sickert, Oskar van der Wal	Inseq: An Interpretability Toolkit for Sequence Generation Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Zhengxuan Wu, Atticus Geiger, Christopher Potts, Noah D. Goodman	Interpretability at Scale: Identifying Causal Mechanisms in Alpaca.	CoRR	2023	DBLP DOI BibTeX RDF
13	Md. Manjurul Ahsan	Divorce Prediction with Machine Learning: Insights and LIME Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Habib Boloorchi Tabrizi, Christopher Crick	Brain-Inspired Visual Odometry: Balancing Speed and Interpretability through a System of Systems Approach.	CoRR	2023	DBLP DOI BibTeX RDF
13	Zhe Li, Honglong Chen, Zhichen Ni, Huajie Shao	Balancing Privacy Protection and Interpretability in Federated Learning.	CoRR	2023	DBLP DOI BibTeX RDF
13	Hector Kohler, Riad Akrour, Philippe Preux	Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
13	Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu 0001	Prototype-Based Interpretability for Legal Citation Prediction.	CoRR	2023	DBLP DOI BibTeX RDF
13	Maximilian P. Niroomand, David J. Wales	Physics-Inspired Interpretability Of Machine Learning Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Priyesh Vakharia, Devavrat Joshi, Meenal Chavan, Dhananjay Sonawane, Bhrigu Garg, Parsa Mazaheri, Ian Lane	Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Shivam Kumar Sharma, Suvadeep Maiti, S. Mythirayee, Srijithesh Rajendran, Bapi S. Raju	Data-efficient Deep Learning Approach for Single-Channel EEG-Based Sleep Stage Classification with Model Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Vedant Palit, Rohan Pandey, Aryaman Arora, Paul Pu Liang	Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP.	CoRR	2023	DBLP DOI BibTeX RDF
13	Mahbub Ul Alam 0001, Jaakko Hollmén, Jón Rúnar Baldvinsson, Rahim Rahmani	SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods.	CoRR	2023	DBLP DOI BibTeX RDF
13	Andrea W. Wen-Yi, David Mimno	Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings.	CoRR	2023	DBLP DOI BibTeX RDF
13	Koorosh Aslansefat, Mojgan Hashemian, Martin Walker, Mohammed Naveed Akram, Ioannis Sorokos, Yiannis Papadopoulos	Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations.	CoRR	2023	DBLP DOI BibTeX RDF
13	Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Birgitte Bak-Jensen, Zhe Yang 0007, Gonghao Zhang	Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting.	CoRR	2023	DBLP DOI BibTeX RDF
13	Yanran Wang, David Boyle 0001	Safe Reinforcement Learning as Wasserstein Variational Inference: Formal Methods for Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Ola Ahmad, Nicolas Béreux, Vahid Hashemi, Freddy Lécué	Causal Analysis for Robust Interpretability of Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Alessandro Wollek, Robert Graf, Sasa Cecatka, Nicola Fink, Theresa Willem, Bastian O. Sabel, Tobias Lasser	Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification.	CoRR	2023	DBLP DOI BibTeX RDF
13	Valentina Corbetta, Regina Beets-Tan, Wilson Silva	Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data.	CoRR	2023	DBLP DOI BibTeX RDF
13	Xinliang Zhou, Dan Lin, Ziyu Jia, Jiaping Xiao, Chenyu Liu, Liming Zhai, Yang Liu 0003	An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance.	CoRR	2023	DBLP DOI BibTeX RDF
13	Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen 0012, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.	CoRR	2023	DBLP DOI BibTeX RDF
13	Vincent Souveton, Arnaud Guillin, Jens Jasche, Guilhem Lavaux, Manon Michel	Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity.	CoRR	2023	DBLP DOI BibTeX RDF
13	Lu Yan, Zhuo Zhang 0002, Guanhong Tao 0001, Kaiyuan Zhang 0002, Xuan Chen, Guangyu Shen, Xiangyu Zhang 0001	ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP.	CoRR	2023	DBLP DOI BibTeX RDF
13	Zhiqiang Zhong, Anastasia Barkova, Davide Mottin	Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick	Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications.	CoRR	2023	DBLP DOI BibTeX RDF
13	Lennart Schneider, Bernd Bischl, Janek Thomas	Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Zhidi Lin, Feng Yin	Towards Flexibility and Interpretability of Gaussian Process State-Space Model.	CoRR	2023	DBLP DOI BibTeX RDF
13	Romy Müller, Marius Thoß, Julian Ullrich, Steffen Seitz 0004, Carsten Knoll	Interpretability is in the eye of the beholder: Human versus artificial classification of image segments generated by humans versus XAI.	CoRR	2023	DBLP DOI BibTeX RDF
13	Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso	Towards Automated Circuit Discovery for Mechanistic Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Shuli Wang, Kun Gao, Lanfang Zhang, Yang Liu, Lei Chen	Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity with Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Delyan Boychev	Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection.	CoRR	2023	DBLP DOI BibTeX RDF
13	Chiara Gallese	The AI Act proposal: a new right to technical interpretability?	CoRR	2023	DBLP DOI BibTeX RDF
13	Zhenxiao Cheng, Jie Zhou 0015, Wen Wu 0006, Qin Chen, Liang He 0001	Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations.	CoRR	2023	DBLP DOI BibTeX RDF
13	Lei Gao 0001, Ling Guan	Interpretability of Machine Learning: Recent Advances and Future Prospects.	CoRR	2023	DBLP DOI BibTeX RDF
13	Rezaul Karim, Richard P. Wildes	Understanding Video Transformers for Segmentation: A Survey of Application and Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Jason Wang, Ryan Rezai	"Pick-and-Pass" as a Hat-Trick Class for First-Principle Memory, Generalizability, and Interpretability Benchmarks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Karel D'Oosterlinck, Thomas Demeester, Chris Develder, Christopher Potts	Flexible Model Interpretability through Natural Language Model Editing.	CoRR	2023	DBLP DOI BibTeX RDF
13	Benjamin Leblanc, Pascal Germain	Interpretability in Machine Learning: on the Interplay with Explainability, Predictive Performances and Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Charles Godfrey, Elise Bishoff, Myles Mckay, Eleanor Byler	Impact of architecture on robustness and interpretability of multispectral deep neural networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Alex Tamkin, Mohammad Taufeeque, Noah D. Goodman	Codebook Features: Sparse and Discrete Interpretability for Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi	A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection.	CoRR	2023	DBLP DOI BibTeX RDF
13	Hector Kohler, Riad Akrour, Philippe Preux	Discovering the Interpretability-Performance Pareto Front of Decision Trees with Dynamic Programming.	CoRR	2023	DBLP DOI BibTeX RDF
13	Mahdi Jafari Siavoshani, Amirhossein Khajehpour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri	Machine learning interpretability meets TLS fingerprinting.	Soft Comput.	2023	DBLP DOI BibTeX RDF
13	Andreas Madsen, Siva Reddy, Sarath Chandar	Post-hoc Interpretability for Neural NLP: A Survey.	ACM Comput. Surv.	2023	DBLP DOI BibTeX RDF
13	Alvaro Fernandez-Quilez	Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability.	AI Ethics	2023	DBLP DOI BibTeX RDF
13	Peng Han, Wei He 0008, You Cao, YingMei Li, Quanqi Mu, YuHe Wang	Lithium-ion battery health assessment method based on belief rule base with interpretability.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
13	Junyuan Feng, Jincheng Liang, Zihan Qiang, Yuexing Hao, Xia Li 0008, Li Li, Qinqun Chen, Guiqing Liu, Hang Wei	A hybrid stacked ensemble and Kernel SHAP-based model for intelligent cardiotocography classification and interpretability.	BMC Medical Informatics Decis. Mak.	2023	DBLP DOI BibTeX RDF
13	Moritz Böhle, Mario Fritz, Bernt Schiele	Optimising for Interpretability: Convolutional Dynamic Alignment Networks.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
13	Kevin P. Nguyen, Alex H. Treacher, Albert Montillo	Adversarially-Regularized Mixed Effects Deep Learning (ARMED) Models Improve Interpretability, Performance, and Generalization on Clustered (non-iid) Data.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
13	Jan-Peter Kucklick, Oliver Müller 0001	Tackling the Accuracy-Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal.	ACM Trans. Manag. Inf. Syst.	2023	DBLP DOI BibTeX RDF
13	Dan W. Joyce, Andrey Kormilitzin, Katharine A. Smith, Andrea Cipriani	Explainable artificial intelligence for mental health through transparency and interpretability for understandability.	npj Digit. Medicine	2023	DBLP DOI BibTeX RDF
13	Yunqing Liu, Jinlei Liu, Chengjin Qin, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu 0001	A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
13	Ioannis Mollas, Nick Bassiliades, Grigorios Tsoumakas	Truthful meta-explanations for local interpretability of machine learning models.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
13	Xiaochun Lin, Shitao Yin	Lithology identification based on interpretability integration learning.	Earth Sci. Informatics	2023	DBLP DOI BibTeX RDF
13	Gonzalo Nápoles, Nevena Rankovic, Yamisleydi Salgueiro	On the interpretability of Fuzzy Cognitive Maps.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
13	Jorge Sampaio Silveira Junior, Jérôme Mendes, Francisco Souza 0001, Cristiano Premebida	Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability.	Int. J. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
13	Jinyu Tong, Cang Liu, Jinde Zheng, Haiyang Pan	Multi-sensor information fusion and coordinate attention-based fault diagnosis method and its interpretability research.	Eng. Appl. Artif. Intell.	2023	DBLP DOI BibTeX RDF
13	Emanuele Marconato, Andrea Passerini, Stefano Teso	Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning.	Entropy	2023	DBLP DOI BibTeX RDF
13	Hongzhaoning Kang, Gang Liu 0006, Quan Wang 0006, Qi Zhang, Jiamin Niu, Nan Luo	An improved minimal noise role mining algorithm based on role interpretability.	Comput. Secur.	2023	DBLP DOI BibTeX RDF
13	Guanyi Chen, Fahime Same, Kees van Deemter	Neural referential form selection: Generalisability and interpretability.	Comput. Speech Lang.	2023	DBLP DOI BibTeX RDF
13	Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño Duque, César Germán Castellanos-Domínguez	Posthoc Interpretability of Neural Responses by Grouping Subject Motor Imagery Skills Using CNN-Based Connectivity.	Sensors	2023	DBLP DOI BibTeX RDF
13	Ibrahim Mohammad Alreshidi, Desmond Bala Bisandu, Irene Moulitsas	Illuminating the Neural Landscape of Pilot Mental States: A Convolutional Neural Network Approach with Shapley Additive Explanations Interpretability.	Sensors	2023	DBLP DOI BibTeX RDF
13	David M. Berry	Tracing "Toxicity" Through Code: Towards a Method of Explainability and Interpretability in Software.	Digit. Humanit. Q.	2023	DBLP BibTeX RDF
13	Chi Xie, Jia-Le Zhang, You Zhu, Beibei Xiong, Gang-Jin Wang	How to improve the success of bank telemarketing? Prediction and interpretability analysis based on machine learning.	Comput. Ind. Eng.	2023	DBLP DOI BibTeX RDF
13	Ahsan Habib 0003, Chandan K. Karmakar, John Yearwood	Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution.	IEEE J. Biomed. Health Informatics	2023	DBLP DOI BibTeX RDF
13	Colleen E. Charlton, Michael Tin Chung Poon, Paul M. Brennan, Jacques D. Fleuriot	Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.	Comput. Methods Programs Biomed.	2023	DBLP DOI BibTeX RDF
13	Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar	Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization.	Neural Networks	2023	DBLP DOI BibTeX RDF
13	Edwin Lughofer, Mahardhika Pratama	Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects.	Inf. Fusion	2023	DBLP DOI BibTeX RDF
13	Ettore Mariotti, Jose Maria Alonso-Moral, Albert Gatt	Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models.	Inf. Fusion	2023	DBLP DOI BibTeX RDF
13	Luka Mikec	Complexity of the interpretability logics ILW and ILP.	Log. J. IGPL	2023	DBLP DOI BibTeX RDF
13	Stefano Triberti, Davide La Torre, Giuseppe Riva 0001	The Artificial Face (ART-F) Project: Addressing the Problem of Interpretability, Interface, and Trust in Artificial Intelligence.	Cyberpsychology Behav. Soc. Netw.	2023	DBLP DOI BibTeX RDF
13	Davide Piras, Hiranya V. Peiris, Andrew Pontzen, Luisa Lucie-Smith, Ningyuan Guo, Brian Nord	A robust estimator of mutual information for deep learning interpretability.	Mach. Learn. Sci. Technol.	2023	DBLP DOI BibTeX RDF
13	Ayush Khot, Mark S. Neubauer, Avik Roy	A detailed study of interpretability of deep neural network based top taggers.	Mach. Learn. Sci. Technol.	2023	DBLP DOI BibTeX RDF
13	Saihui Hou, Xu Liu 0008, Chunshui Cao, Yongzhen Huang	Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition.	IEEE Trans. Neural Networks Learn. Syst.	2023	DBLP DOI BibTeX RDF
13	Sulin Wang, Chengqiang Zhao, Lingling Huang, Yuanwei Li, Ruochen Li	Current status, application, and challenges of the interpretability of generative adversarial network models.	Comput. Intell.	2023	DBLP DOI BibTeX RDF
13	Ayush Somani, Alexander Horsch, Dilip K. Prasad	Interpretability in Deep Learning		2023	DOI RDF
13	Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song 0011, Yongcheng Jing, Mingli Song	Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks.	ICCV	2023	DBLP DOI BibTeX RDF
13	Wei Huang 0035, Xingyu Zhao 0001, Gaojie Jin, Xiaowei Huang 0001	SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability.	ICCV	2023	DBLP DOI BibTeX RDF
13	Kanishk Verma, Kolawole Adebayo, Joachim Wagner 0001, Brian Davis 0001	DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability.	SemEval@ACL	2023	DBLP DOI BibTeX RDF
13	Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Habiba, EuJin Foo, Nasrin Shabani, Maryam Shahabikargar	A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability.	WISE	2023	DBLP DOI BibTeX RDF
13	Tulika Saha, Debasis Ganguly, Sriparna Saha 0001, Prasenjit Mitra	Workshop On Large Language Models' Interpretability and Trustworthiness (LLMIT).	CIKM	2023	DBLP DOI BibTeX RDF
13	Kislay Raj	A Neuro-symbolic Approach to Enhance Interpretability of Graph Neural Network through the Integration of External Knowledge.	CIKM	2023	DBLP DOI BibTeX RDF
13	Mingqian Lin, Lin Shang 0001, Xiaoying Gao	Enhancing Interpretability in AI-Generated Image Detection with Genetic Programming.	ICDM (Workshops)	2023	DBLP DOI BibTeX RDF
13	Liu Yuan, Yashen Wang, Tianzhu Chen, Xuecheng Zhang, Chenyu Liu, Yi Zhang	A Novel Concept-Driven Negative Sampling Mechanism for Enhancing Semanticity and Interpretability of Knowledge Graph Completion Task.	DSC	2023	DBLP DOI BibTeX RDF
13	Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick	Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications.	IV	2023	DBLP DOI BibTeX RDF
13	Lei Yang, Zhipeng Liu, Ruichen Zhang, Haiyu Shen, Yijing Tan, Jian Zhang 0048, Chao Liu 0058, Fangfang Zhou, Ying Zhao 0001	Using SHAP to Measure Interpretability of Neuronal Feature Visualization.	VINCI	2023	DBLP DOI BibTeX RDF
13	Dimitrios Akrivousis, Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas	Text classification is keyphrase explainable! Exploring local interpretability of transformer models with keyphrase extraction.	DSAA	2023	DBLP DOI BibTeX RDF
13	Arijit Khan 0001, Ehsan Bonabi Mobaraki	Interpretability Methods for Graph Neural Networks.	DSAA	2023	DBLP DOI BibTeX RDF
13	Jing Wang 0060, Xiaojun Ning 0001, Wangjun Shi, Youfang Lin	A Bayesian Graph Neural Network for EEG Classification - A Win-Win on Performance and Interpretability.	ICDE	2023	DBLP DOI BibTeX RDF
13	Valentina Corbetta, Regina Beets-Tan, Wilson Silva	Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data.	MLMI@MICCAI (1)	2023	DBLP DOI BibTeX RDF