Search results for "interpretability"

Hits ?▲	Authors	Title	Venue	Year	Link
13	Mustafa Kagan Gürkan, Nafiz Arica, Fatos T. Yarman-Vural	A Scoring Method for Interpretability of Concepts in Convolutional Neural Networks.	SIU	2022	DBLP DOI BibTeX RDF
13	Maite Giménez, Ares Fabregat-Hernández, Raül Fabra-Boluda, Javier Palanca, Vicent J. Botti	A Fine-Grained Study of Interpretability of Convolutional Neural Networks for Text Classification.	HAIS	2022	DBLP DOI BibTeX RDF
13	Qingyuan Hu, Wentao Liu, Yanxin Liu, Zhanhong Liu	Interpretability Analysis of Pre-trained Convolutional Neural Networks for Medical Diagnosis.	CAIBDA	2022	DBLP BibTeX RDF
13	Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki	Interpretability for Language Learners Using Example-Based Grammatical Error Correction.	ACL (1)	2022	DBLP DOI BibTeX RDF
13	Chun Sik Chan, Huanqi Kong, Guanqing Liang	A Comparative Study of Faithfulness Metrics for Model Interpretability Methods.	ACL (1)	2022	DBLP DOI BibTeX RDF
13	Chandan Singh	Useful interpretability for real-world machine learning		2022	RDF
13	Alex Tseng	Improving and leveraging the interpretability of deep neural networks for genomics.		2022	RDF
13	Mike Thompson	Leveraging replicable sources of variability to increase power and interpretability in analyses of genomic datasets.		2022	RDF
13	Jan MacDonald	The reliability of deep learning for signal and image processing: Interpretability, robustness, and accuracy.		2022	RDF
13	Ann-Kristin Becker	Discovering Latent Structure in High-Dimensional Healthcare Data: Toward Improved Interpretability.		2022	RDF
13	Yu Zhang 0111	Deep neural networks on genetic motif discovery: the interpretability and identifiability issues.		2022	RDF
13	Benjamin Deneu	Interprétabilité des modèles de distribution d'espèces basés sur des réseaux de neurones convolutifs. (Interpretability of species distribution models based on deep convolutional learning).		2022	RDF
13	Theo Jaunet	Deep learning interpretability with visual analytics : Exploring reasoning and bias exploitation. (Interprétabilité de l'apprentissage profond via analyse visuelle : Exploration de raisonnements et de l'exploitation de biais).		2022	RDF
13	Johan Ferret	On actions that matter: credit assignment and interpretability in reinforcement learning. (De l'importance des actions: assignation de crédit et interprétabilité pour l'apprentissage par renforcement).		2022	RDF
13	Tom Bourgeade	From Text to Trust: A Priori Interpretability Versus Post Hoc Explainability in Natural Language Processing. (Interprétabilité a priori et explicabilité a posteriori dans le traitement automatique des langues).		2022	RDF
13	Abiodun Abdullahi Solanke	Digital Forensics AI: on Practicality, Optimality, and Interpretability of Digital Evidence Mining Techniques. (PDF / PS)		2022	RDF
13	Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez	Attention-Based Interpretable Regression of Gene Expression in Histology.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat	Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Rosa C. J. Kraaijveld, Marielle E. P. Philippens, Wietse S. C. Eppinga, Ina M. Jürgenliemk-Schulz, Kenneth G. A. Gilhuijs, Petra S. Kroon, Bas H. M. van der Velden	Multi-modal Volumetric Concept Activation to Explain Detection and Classification of Metastatic Prostate Cancer on PSMA-PET/CT.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Amy Rafferty, Rudolf Nenutil, Ajitha Rajan	Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Florian Kowarsch, Lisa Weijler, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Angela Schumich, Elisa O. Sajaroff, Stefanie Groeneveld-Krentz, Jorge G. Rossi, Leonid Karawajew, Richard Ratei, Michael N. Dworzak	Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Dongyang Kuang, Craig Michoski	KAM - A Kernel Attention Module for Emotion Classification with EEG Data.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu 0003, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang	Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner	Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	DaeHyun Cho, Christian Wallraven	Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Paul Engstler, Matthias Keicher, David Schinz, Kristina Mach, Alexandra S. Gersing, Sarah C. Foreman, Sophia S. Goller, Juergen Weissinger, Jon Rischewski, Anna-Sophia Dietrich, Benedikt Wiestler, Jan S. Kirschke, Ashkan Khakzar, Nassir Navab	Interpretable Vertebral Fracture Diagnosis.	iMIMIC@MICCAI	2022	DBLP DOI BibTeX RDF
13	Bram Steurtewagen, Dirk Van den Poel	Adding interpretability to predictive maintenance by machine learning on sensor data.	Comput. Chem. Eng.	2021	DBLP DOI BibTeX RDF
13	Alicja Gosiewska, Anna Kozak, Przemyslaw Biecek	Simpler is better: Lifting interpretability-performance trade-off via automated feature engineering.	Decis. Support Syst.	2021	DBLP DOI BibTeX RDF
13	William S. Monroe, Frank M. Skidmore, David G. Odaibo, Murat M. Tanik	HihO: accelerating artificial intelligence interpretability for medical imaging in IoT applications using hierarchical occlusion.	Neural Comput. Appl.	2021	DBLP DOI BibTeX RDF
13	Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li 0001	An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness.	SN Comput. Sci.	2021	DBLP DOI BibTeX RDF
13	Dwarikanath Mahapatra, Alexander Pollinger, Ling Shao 0001, Mauricio Reyes 0001	Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation.	IEEE Trans. Medical Imaging	2021	DBLP DOI BibTeX RDF
13	Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch	Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging.	Mach. Learn. Knowl. Extr.	2021	DBLP DOI BibTeX RDF
13	Yu Zhang 0111, Peter Tiño, Ales Leonardis, Ke Tang 0001	A Survey on Neural Network Interpretability.	IEEE Trans. Emerg. Top. Comput. Intell.	2021	DBLP DOI BibTeX RDF
13	Laura Martínez-Ferrer, Maria Piles, Gustau Camps-Valls	Crop Yield Estimation and Interpretability With Gaussian Processes.	IEEE Geosci. Remote. Sens. Lett.	2021	DBLP DOI BibTeX RDF
13	Jan Heylen, Lars Arthur Tump	The Enhanced Indispensability Argument, the circularity problem, and the interpretability strategy.	Synth.	2021	DBLP DOI BibTeX RDF
13	Ana Filipa Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso 0001	An exploratory study of interpretability for face presentation attack detection.	IET Biom.	2021	DBLP DOI BibTeX RDF
13	Guorui Xie, Qing Li 0006, Yong Jiang 0001	Self-attentive deep learning method for online traffic classification and its interpretability.	Comput. Networks	2021	DBLP DOI BibTeX RDF
13	Bruno Iochins Grisci, Mathias J. Krause, Márcio Dorn	Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data.	Inf. Sci.	2021	DBLP DOI BibTeX RDF
13	Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang	Deep neural network compression through interpretability-based filter pruning.	Pattern Recognit.	2021	DBLP DOI BibTeX RDF
13	Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi	Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis.	Frontiers Comput. Neurosci.	2021	DBLP DOI BibTeX RDF
13	Maxime De Bois, Mounîm A. El-Yacoubi, Mehdi Ammi	Enhancing the Interpretability of Deep Models in Healthcare Through Attention: Application to Glucose Forecasting for Diabetic People.	Int. J. Pattern Recognit. Artif. Intell.	2021	DBLP DOI BibTeX RDF
13	Qiyou Duan, Taejoon Kim, Hadi G. Ghauch	KM Learning for Millimeter-Wave Beam Alignment and Tracking: Predictability and Interpretability.	IEEE Access	2021	DBLP DOI BibTeX RDF
13	Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin	Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability.	IEEE Access	2021	DBLP DOI BibTeX RDF
13	Min Hyuk Lim, Woo Hyung Lee, Byoungjun Jeon, Sungwan Kim	A Blood Glucose Control Framework Based on Reinforcement Learning With Safety and Interpretability: In Silico Validation.	IEEE Access	2021	DBLP DOI BibTeX RDF
13	Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Duen Horng (Polo) Chau, Diyi Yang	RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization.	Proc. ACM Hum. Comput. Interact.	2021	DBLP DOI BibTeX RDF
13	Nathanaël Randriamihamison, Nathalie Vialaneix, Pierre Neuvial	Applicability and Interpretability of Ward's Hierarchical Agglomerative Clustering With or Without Contiguity Constraints.	J. Classif.	2021	DBLP DOI BibTeX RDF
13	Mingdong Zhu, Derong Shen, Lixin Xu, Xianfang Wang	Scalable Multi-grained Cross-modal Similarity Query with Interpretability.	Data Sci. Eng.	2021	DBLP DOI BibTeX RDF
13	Muhammad Khan 0001, Yasir Zaki, Shiva R. Iyer, Talal Ahmad, Thomas Pötsch, Jay Chen, Anirudh Sivaraman, Lakshmi Subramanian	The case for model-driven interpretability of delay-based congestion control protocols.	Comput. Commun. Rev.	2021	DBLP DOI BibTeX RDF
13	Daniel L. Weller, Tanzy M. T. Love, Martin Wiedmann	Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water.	Frontiers Artif. Intell.	2021	DBLP DOI BibTeX RDF
13	Francisco Valente, Jorge Henriques, Simão Paredes, Teresa Rocha, Paulo de Carvalho 0001, João Morais	A new approach for interpretability and reliability in clinical risk prediction: Acute coronary syndrome scenario.	Artif. Intell. Medicine	2021	DBLP DOI BibTeX RDF
13	Harry Freitas Da Cruz, Boris Pfahringer, Tom Martensen, Frederic Schneider, Alexander Meyer, Erwin P. Böttinger, Matthieu-P. Schapranow	Using interpretability approaches to update "black-box" clinical prediction models: an external validation study in nephrology.	Artif. Intell. Medicine	2021	DBLP DOI BibTeX RDF
13	Antonio Parziale, Rosa Senatore, Antonio Della Cioppa, Angelo Marcelli	Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues.	Artif. Intell. Medicine	2021	DBLP DOI BibTeX RDF
13	Anne De Hond, Wouter Raven, Ilse M. J. Kant, Laurens Schinkelshoek, Ewout W. Steyerberg, Bas De Groot	Prediction of hospital admission from the emergency department: Clinician involvement, intended use, and interpretability.	Int. J. Medical Informatics	2021	DBLP DOI BibTeX RDF
13	Taishi Kurahashi, Yuya Okawa	Modal completeness of sublogics of the interpretability logic IL.	Math. Log. Q.	2021	DBLP DOI BibTeX RDF
13	Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.	Comput. Vis. Image Underst.	2021	DBLP DOI BibTeX RDF
13	Cat Ho Nguyen, Thi Lan Pham, Tu N. Nguyen 0001, Cam Ha Ho, Thu Anh Nguyen	The linguistic summarization and the interpretability, scalability of fuzzy representations of multilevel semantic structures of word-domains.	Microprocess. Microsystems	2021	DBLP DOI BibTeX RDF
13	Yongqing Zhang, Zixuan Wang, Yuanqi Zeng, Jiliu Zhou, Quan Zou 0001	High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method.	Briefings Bioinform.	2021	DBLP DOI BibTeX RDF
13	Paulo Vitor de Campos Souza, Edwin Lughofer	An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities.	Neurocomputing	2021	DBLP DOI BibTeX RDF
13	Mike Wu, Sonali Parbhoo, Michael C. Hughes, Volker Roth 0001, Finale Doshi-Velez	Optimizing for Interpretability in Deep Neural Networks with Tree Regularization.	J. Artif. Intell. Res.	2021	DBLP DOI BibTeX RDF
13	Evelyne Vigneau	Clustering of variables for enhanced interpretability of predictive models.	Informatica (Slovenia)	2021	DBLP DOI BibTeX RDF
13	Zhi-Jie Zhou 0001, You Cao, Guan-Yu Hu 0001, Youmin Zhang 0001, Shuai-Wen Tang, Yuan Chen	New health-state assessment model based on belief rule base with interpretability.	Sci. China Inf. Sci.	2021	DBLP DOI BibTeX RDF
13	Sunjoo Bang, Jong Ho Jhee, Hyunjung Shin	Polypharmacy side-effect prediction with enhanced interpretability based on graph feature attention network.	Bioinform.	2021	DBLP DOI BibTeX RDF
13	Mário Popolin Neto, Fernando V. Paulovich	Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles.	IEEE Trans. Vis. Comput. Graph.	2021	DBLP DOI BibTeX RDF
13	Adrian Hoffmann, Claudio Fanconi, Rahul Rade, Jonas Kohler	This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks.	CoRR	2021	DBLP BibTeX RDF
13	Woo-Jeoung Nam, Seong-Whan Lee	Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units.	CoRR	2021	DBLP BibTeX RDF
13	Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira	Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance.	CoRR	2021	DBLP BibTeX RDF
13	David Alvarez-Melis, Harmanpreet Kaur, Hal Daumé III, Hanna M. Wallach, Jennifer Wortman Vaughan	A Human-Centered Interpretability Framework Based on Weight of Evidence.	CoRR	2021	DBLP BibTeX RDF
13	Erico Tjoa, Cuntai Guan	Self Reward Design with Fine-grained Interpretability.	CoRR	2021	DBLP BibTeX RDF
13	Dwarikanath Mahapatra	Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation.	CoRR	2021	DBLP BibTeX RDF
13	Erico Tjoa, Cuntai Guan	Convolutional Neural Network Interpretability with General Pattern Theory.	CoRR	2021	DBLP BibTeX RDF
13	Aman Chadha, Vinija Jain	iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability.	CoRR	2021	DBLP BibTeX RDF
13	Gabriel Deza, Adelin Travers, Colin Rowat, Nicolas Papernot	Interpretability in Safety-Critical FinancialTrading Systems.	CoRR	2021	DBLP BibTeX RDF
13	Xuhong Li 0002, Haoyi Xiong, Xingjian Li 0002, Xuanyu Wu, Xiao Zhang, Ji Liu 0003, Jiang Bian 0003, Dejing Dou	Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.	CoRR	2021	DBLP BibTeX RDF
13	Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky	HIVE: Evaluating the Human Interpretability of Visual Explanations.	CoRR	2021	DBLP BibTeX RDF
13	Mohit Kumar 0001, Bernhard Alois Moser, Lukas Fischer 0001, Bernhard Freudenthaler	Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework.	CoRR	2021	DBLP BibTeX RDF
13	Juan Manuel Mayor Torres, Sara E. Medina-DeVilliers, Tessa Clarkson, Matthew D. Lerner, Giuseppe Riccardi	Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism.	CoRR	2021	DBLP BibTeX RDF
13	Gloria Hyun-Jung Kwak, Christina Chen, Lowell Ling, Erina Ghosh, Leo Anthony Celi, Pan Hui	Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability.	CoRR	2021	DBLP BibTeX RDF
13	Andreas Madsen, Siva Reddy, Sarath Chandar	Post-hoc Interpretability for Neural NLP: A Survey.	CoRR	2021	DBLP BibTeX RDF
13	Flávio Arthur O. Santos, Cleber Zanchettin, Leonardo N. Matos, Paulo Novais	On the Impact of Interpretability Methods in Active Image Augmentation Method.	CoRR	2021	DBLP BibTeX RDF
13	Amy Widdicombe, Simon J. Julier	Gradient-Based Interpretability Methods and Binarized Neural Networks.	CoRR	2021	DBLP BibTeX RDF
13	Samuel J. Broughton, Md Asif Jalal, Roger K. Moore	Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion.	CoRR	2021	DBLP BibTeX RDF
13	Dawid Rymarczyk, Aneta Kaczynska, Jaroslaw Kraus, Adam Pardyl, Bartosz Zielinski 0001	ProtoMIL: Multiple Instance Learning with Prototypical Parts for Fine-Grained Interpretability.	CoRR	2021	DBLP BibTeX RDF
13	Tristan Gomez, Suiyi Ling, Thomas Fréour, Harold Mouchère	Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model.	CoRR	2021	DBLP BibTeX RDF
13	Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve	Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.	CoRR	2021	DBLP BibTeX RDF
13	Soumick Chatterjee, Arnab Das, Chirag Mandal, Budhaditya Mukhopadhyay, Manish Vipinraj, Aniruddh Shukla, Rajatha Nagaraja Rao, Chompunuch Sarasaen, Oliver Speck, Andreas Nürnberger	TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models.	CoRR	2021	DBLP BibTeX RDF
13	Francisco Valente, Simão Paredes, Jorge Henriques	Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems.	CoRR	2021	DBLP BibTeX RDF
13	Xin Lv, Yixin Cao 0002, Lei Hou 0001, Juanzi Li, Zhiyuan Liu 0001, Yichi Zhang, Zelin Dai	Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability.	CoRR	2021	DBLP BibTeX RDF
13	Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, Robert M. Roth	Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning.	CoRR	2021	DBLP BibTeX RDF
13	Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi 0001, Yoav Goldberg	Contrastive Explanations for Model Interpretability.	CoRR	2021	DBLP BibTeX RDF
13	Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath	Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations.	CoRR	2021	DBLP BibTeX RDF
13	Ayush Deva, Siddhant Shingi, Avtansh Tiwari, Nayana Bannur, Sansiddh Jain, Jerome White, Alpan Raval, Srujana Merugu	Interpretability of Epidemiological Models : The Curse of Non-Identifiability.	CoRR	2021	DBLP BibTeX RDF
13	Daniela Mihai, Jonathon S. Hare	Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?	CoRR	2021	DBLP BibTeX RDF
13	Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi	On the Lack of Robust Interpretability of Neural Text Classifiers.	CoRR	2021	DBLP BibTeX RDF
13	Tolga Bolukbasi, Adam Pearce, Ann Yuan, Andy Coenen, Emily Reif, Fernanda B. Viégas, Martin Wattenberg	An Interpretability Illusion for BERT.	CoRR	2021	DBLP BibTeX RDF
13	Yucun Lu, Ilgiz Murzakhanov, Spyros Chatzivasileiadis	Neural network interpretability for forecasting of aggregated renewable generation.	CoRR	2021	DBLP BibTeX RDF
13	Qingyao Ai, Lakshmi Narayanan Ramasamy	Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search.	CoRR	2021	DBLP BibTeX RDF
13	Swarnadeep Saha, Prateek Yadav, Mohit Bansal	multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning.	CoRR	2021	DBLP BibTeX RDF
13	Nirmal Sobha Kartha, Clément Gautrais, Vincent Vercruyssen	Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection.	CoRR	2021	DBLP BibTeX RDF
13	Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu 0002	MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset.	CoRR	2021	DBLP BibTeX RDF
13	Pierre Blanchart	An exact counterfactual-example-based approach to tree-ensemble models interpretability.	CoRR	2021	DBLP BibTeX RDF