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ORCIDCD-MAKE 2021, Virtual Event
- Andreas Holzinger
, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl:
Machine Learning and Knowledge Extraction - 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17-20, 2021, Proceedings. Lecture Notes in Computer Science 12844, Springer 2021, ISBN 978-3-030-84059-4 - Andreas Holzinger, Edgar R. Weippl, A Min Tjoa, Peter Kieseberg:
Digital Transformation for Sustainable Development Goals (SDGs) - A Security, Safety and Privacy Perspective on AI. 1-20 - Liubov Nikolenko, Pouya Rezazadeh Kalehbasti:
When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised. 21-33 - Sebastian Eresheim, Daniel Pasterk:
Self-propagating Malware Containment via Reinforcement Learning. 35-50 - Sridevi Bonthu, S. Rama Sree, Munaga H. M. Krishna Prasad:
Text2PyCode: Machine Translation of Natural Language Intent to Python Source Code. 51-60 - Sridevi Bonthu, S. Rama Sree, Munaga H. M. Krishna Prasad:
Automated Short Answer Grading Using Deep Learning: A Survey. 61-78 - Nicholas Asher, Soumya Paul, Chris Russell:
Fair and Adequate Explanations. 79-97 - Bora I. Kumova, Dirk Saller:
Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations. 99-114 - Zhe Xu, Bo Wu, Aditya Ojha, Daniel Neider, Ufuk Topcu:
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples. 115-135 - Atthakorn Petchsod, Tanasai Sucontphunt:
Rice Seed Image-to-Image Translation Using Generative Adversarial Networks to Improve Weedy Rice Image Classification. 137-151 - Alberto Carlevaro, Maurizio Mongelli:
Reliable AI Through SVDD and Rule Extraction. 153-171 - Pouya Rezazadeh Kalehbasti, Liubov Nikolenko, Hoormazd Rezaei:
Airbnb Price Prediction Using Machine Learning and Sentiment Analysis. 173-184 - Michelle Terblanche, Vukosi Marivate:
Towards Financial Sentiment Analysis in a South African Landscape. 185-202 - Andrea Campagner, Enrico Conte, Federico Cabitza:
Weighted Utility: A Utility Metric Based on the Case-Wise Raters' Perceptions. 203-210 - Narayana Darapaneni, Anindya Sil, Balaji Kagiti, S. Krishna Kumar, N. B. Ramanathan, S. B. VasanthaKumara, Anwesh Reddy Paduri, Abdul Manuf:
Deep Convolutional Neural Network (CNN) Design for Pathology Detection of COVID-19 in Chest X-Ray Images. 211-223 - Fabrizio Nunnari, Hasan Md Tusfiqur Alam, Daniel Sonntag:
Anomaly Detection for Skin Lesion Images Using Replicator Neural Networks. 225-240 - Fabrizio Nunnari, Md Abdul Kadir, Daniel Sonntag:
On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images. 241-253 - Sara Narteni, Melissa Ferretti, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli:
From Explainable to Reliable Artificial Intelligence. 255-273 - Yiheng Yao:
Explanatory Pluralism in Explainable AI. 275-292 - Angeline Yasodhara, Azin Asgarian, Diego Huang, Parinaz Sobhani:
On the Trustworthiness of Tree Ensemble Explainability Methods. 293-308 - Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu:
Human-in-the-Loop Model Explanation via Verbatim Boundary Identification in Generated Neighborhoods. 309-327 - Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C. Krishnan, Shweta Jain:
MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers. 329-349 - Guido Bologna:
Transparent Ensembles for Covid-19 Prognosis. 351-364
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