Ariella Richardson
Ariella Richardson
Jerusalem College of Technology
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Cited by
A Survey of Interpretability and Explainability in Human-Agent Systems
A Rosenfeld, A Richardson
IJCAI/ECAI 2018 Workshop on Explainable Artificial Intelligence (XAI), 137, 2018
Behavioral analysis of insider threat: A survey and bootstrapped prediction in imbalanced data
A Azaria, A Richardson, S Kraus, VS Subrahmanian
IEEE Transactions on Computational Social Systems 1 (2), 135-155, 2014
A survey of interpretability and explainability in human-agent systems
A Richardson, A Rosenfeld
XAI workshop on explainable Artificial Intelligence, 137-143, 2018
An agent for deception detection in discussion based environments
A Azaria, A Richardson, S Kraus
Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015
COACH-Cumulative Online Algorithm for Classification of Handwriting Deficiencies.
A Richardson, S Kraus, PL Weiss, S Rosenblum
AAAI, 1725-1730, 2008
The Montreal Cognitive Assessment: is it suitable for identifying mild cognitive impairment in Parkinson's Disease?
S Rosenblum, S Meyer, N Gemerman, L Mentzer, A Richardson, ...
Movement Disorders Clinical Practice 7 (6), 648-655, 2020
Autonomous agents and human cultures in the trust–revenge game
A Azaria, A Richardson, A Rosenfeld
Autonomous Agents and Multi-Agent Systems 30, 486-505, 2016
An agent for the prospect presentation problem.
A Azaria, A Richardson, S Kraus
AAMAS, 989-996, 2014
Capturing subjective mild cognitive decline in Parkinson’s disease
S Rosenblum, S Meyer, A Richardson, S Hassin-Baer
Brain Sciences 12 (6), 741, 2022
Automated agents’ behavior in the trust-revenge game in comparison to other cultures
A Azaria, A Richardson, A Elmalech, A Rosenfeld
Proceedings of AAMAS, 2014
Patients’ self-report and handwriting performance features as indicators for suspected mild cognitive impairment in Parkinson’s disease
S Rosenblum, S Meyer, A Richardson, S Hassin-Baer
Sensors 22 (2), 569, 2022
DailyCog: a real-world functional cognitive mobile application for evaluating Mild Cognitive Impairment (MCI) in Parkinson’s Disease
S Rosenblum, A Richardson, S Meyer, T Nevo, M Sinai, S Hassin-Baer
Sensors 21 (5), 1788, 2021
Mobile Applications for Stroke: A Survey and a Speech Classification Approach
A Richardson, S Ben Ari, M Sinai, E Atsmon,Aviya , Conley, Y Gat, ...
Proceedings of the 5th International Conference on Information and …, 2019
Reef: Resolving length bias in frequent sequence mining using sampling
A Richardson, GA Kaminka, S Kraus
International Journal On Advances in Intelligent Systems 7 (1), 2, 2014
CUBS: Multivariate sequence classification using bounded z-score with sampling
A Richardson, G Kaminka, S Kraus
2010 IEEE International Conference on Data Mining Workshops, 72-79, 2010
Early identification of subjective cognitive functional decline among patients with Parkinson’s disease: a longitudinal pilot study
S Rosenblum, S Meyer, A Richardson, S Hassin-Baer
Scientific Reports 12 (1), 22242, 2022
Geometrical feature extraction for cuneiforms
A Richardson, U Smilansky
ECAI 2014, 1173-1178, 2014
A system for advice provision in multiple prospectselection problems
A Azaria, S Kraus, A Richardson
Proceedings of the 7th ACM conference on Recommender systems, 311-314, 2013
Mining and classification of multivariate sequential data
AD Richardson
Bar Ilan University, 2011
Multidisciplinary teamwork in the design of dailycog for evaluating mild cognitive impairment (mci) in parkinson’s disease
A Richardson, S Rosenblum, S Hassin-Baer
2019 International Conference on Virtual Rehabilitation (ICVR), 1-2, 2019
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