Accepted CD-MAKE Papers

papers are in no specific order:

Reliable AI through SVDD and rule extraction
Alberto Carlevaro (University of Genoa, Italy), Maurizio Mongelli (CNR-IEIIT, Italy)

Fair and Adequate Explanations
Nicholas Asher (CNRS, IRIT, Université Paul Sabatier, France), Soumya Paul (Telindus, Luxembourg), Chris Russell (Amazon Research, Germany)

From Explainable to Reliable Artificial Intelligence
Sara Narteni, Melissa Ferretti, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli (Consiglio Nazionale delle Ricerche – Institute of Electronics, Information Engineering and Telecommunications (CNR-IEIIT), Italy)

MAIRE – A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C Krishnan, Shweta Jain (Indian Institute of Technology Ropar, India)

Self-Propagating Malware Containment via Reinforcement Learning
Sebastian Eresheim (St. Poelten University of Applied Sciences/University of Vienna, Austria),
Daniel Pasterk (Technical University Vienna, Austria)

Transparent Ensembles for Covid-19 Prognosis
Guido Bologna (University of Applied Sciences and Arts of Western Switzerland)

Towards Financial Sentiment Analysis in a South African Landscape
Michelle Terblanche, Vukosi Marivate (Department of Computer Science, University of Pretoria, South Africa)

Explanatory Pluralism in Explainable AI
Yiheng Yao (Philosophy-Neuroscience-Psychology Program, Washington University in St. Louis, St. Louis, MO, USA)

Automated Short Answer Grading using Deep Learning : A Survey
Sridevi Bonthu (Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India), S Rama Sree
(Aditya Engineering College, Surampalem, Andhra Pradesh, India), Krishna Prasad MHM (Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India)

On the Trustworthiness of Tree Ensemble Explainability Methods
Angeline Yasodhara* and Azin Asgarian*, Diego Huang Parinaz Sobhani (Georgian, Canada)

Rice seed image-to-image translation using Generative Adversarial Networks to improve weedy rice image classification Atthakorn Petchsod, Tanasai Sucontphunt (National Institute of Development Administration, Bangkok, Thailand)

Deep Convolutional Neural Network(CNN) design for pathology detection of COVID-19 in chest X-Ray Images
Narayana Darapaneni (Great Learning/Northwestern University, USA), Anwesh Reddy Paduri, Anindya Sil, Balaji Kagiti, Krishna Kumar S, Ramanathan NB, VasanthaKumara SB and Abdul Manuf (Great Learning, India)

When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised
Liubov Nikolenko (Stanford University [Alumnus], USA), Pouya Rezazadeh Kalehbasti (Stanford University, USA)

Airbnb Price Prediction Using Machine Learning and Sentiment Analysis
Pouya Rezazadeh Kalehbasti (Stanford University, USA), Liubov Nikolenko and Hoormazd Rezaei (Stanford University [Alumnus], USA)

Transparent Ensembles for Covid-19 Prognosis
Guido Bologna (University of Applied Sciences and Arts of Western Switzerland)

Text2PyCode : Machine Translation of Natural Language Intent to Python Source Code
Sridevi Bonthu (Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India), S Rama Sree
(Aditya Engineering College, Surampalem, Andhra Pradesh, India), Krishna Prasad MHM (Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India)

Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations
Dirk Saller , Bora I. Kumova (Departement of Applied Computer Science, Baden-Württemberg Cooperative State University, Mosbach, Germany)

Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Zhe Xu (Arizona State University, Arizona, USA), Bo Wu (University of Texas at Austin, Texas, USA),
Aditya Ojha (University of Texas at Austin, Texas, USA), Daniel Neider (Max Planck Institute for Software Systems, Kaiserslautern, Germany), Ufuk Topcu (University of Texas at Austin, Texas, USA)

Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu (Ohio University, USA)

Anomaly detection for skin lesion images using replicator neural networks
Fabrizio Nunnari, Hasan Md Tusfiqur Alam (German Research Center for Artificial Intelligence (DFKI),  Germany), Daniel Sonntag (German Research Center for Artificial Intelligence (DFKI), Germany and Oldenburg University, Germany)

On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images
Fabrizio Nunnari, Md. Abdul Kadir (German Research Center for Artificial Intelligence (DFKI),
Germany, Daniel Sonntag (German Research Center for Artificial Intelligence (DFKI), Germany
and Oldenburg University, Germany)

Weighted Utility: a utility metric based on the case-wise raters’ perception
Andrea Campagner, Enrico Conte, Federico Cabitza (University of Milano-Bicocca, Milan, Italy)