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2020 – today
- 2024
[j28]Amos Azaria, Rina Azoulay, Shulamit Reches:
ChatGPT is a Remarkable Tool - For Experts. Data Intell. 6(1): 240-296 (2024)- [j27]Arcady Beriozkin
, Or Haim Anidjar, Amos Azaria, Noam Hazon:
Machine learning approach to predicting the hysteresis of water retention curves of porous media. Expert Syst. Appl. 237(Part A): 121469 (2024) - [c77]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) 2024: 75-90 - [c76]Chaya Levinger, Noam Hazon, Sofia Simola, Amos Azaria:
Coalition Formation with Bounded Coalition Size. AAMAS 2024: 1119-1127 - [c75]Yael Sabato, Amos Azaria, Noam Hazon:
Source Detection in Networks using the Stationary Distribution of a Markov Chain. AAMAS 2024: 2447-2449 - [c74]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549 - [i30]Yael Sabato, Amos Azaria, Noam Hazon:
Source Detection in Networks using the Stationary Distribution of a Markov Chain. CoRR abs/2401.11330 (2024) - [i29]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR abs/2404.17460 (2024) - 2023
- [j26]David Zar, Noam Hazon, Amos Azaria:
Information Disclosure for Increasing User Satisfaction From a Shared Ride. IEEE Access 11: 32030-32040 (2023) - [j25]Keren Nivasch, Amos Azaria:
Keyboard Layout Optimization and Adaptation. Int. J. Artif. Intell. Tools 32(5): 2360002:1-2360002:17 (2023) - [c73]Chaya Levinger, Amos Azaria, Noam Hazon:
Social Aware Coalition Formation with Bounded Coalition Size. AAMAS 2023: 2667-2669 - [c72]Amos Azaria:
ChatGPT: More Human-Like Than Computer-Like, but Not Necessarily in a Good Way. CogSci 2023 - [c71]Meir Nizri, Amos Azaria, Noam Hazon:
Contrastive Explanations for Recommendation Systems. CogSci 2023 - [c70]Avigail Stekel, Moshe Stekel, Amos Azaria:
Evidence From Computational Linguistics for the Concept of Biconsonantal Etymons in Hebrew. CogSci 2023 - [c69]Amos Azaria, Tom M. Mitchell:
The Internal State of an LLM Knows When It's Lying. EMNLP (Findings) 2023: 967-976 - [c68]Amos Azaria:
ChatGPT: More Human-Like Than Computer-Like, but Not Necessarily in a Good Way. ICTAI 2023: 468-473 - [c67]Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell:
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS 2023 - [c66]Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: Studying Papers and Reasoning to play Games. NeurIPS 2023 - [i28]Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell:
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. CoRR abs/2302.04449 (2023) - [i27]Amos Azaria, Tom M. Mitchell:
The Internal State of an LLM Knows When its Lying. CoRR abs/2304.13734 (2023) - [i26]Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye:
Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR abs/2305.02412 (2023) - [i25]Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR abs/2305.15486 (2023) - [i24]Chaya Levinger, Amos Azaria, Noam Hazon:
Socially Aware Coalition Formation with Bounded Coalition Size. CoRR abs/2306.01378 (2023) - [i23]Amos Azaria, Rina Azoulay, Shulamit Reches:
ChatGPT is a Remarkable Tool - For Experts. CoRR abs/2306.03102 (2023) - [i22]Myriam Safrai, Amos Azaria:
Performance of ChatGPT-3.5 and GPT-4 on the United States Medical Licensing Examination With and Without Distractions. CoRR abs/2309.08625 (2023) - [i21]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR abs/2310.01420 (2023) - 2022
- [j24]Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Competitive Driving of Autonomous Vehicles. IEEE Access 10: 111772-111783 (2022) - [j23]Avigail Stekel, Amos Azaria:
Deep Learning Architectures for Approximating Goldbach's Function in New Regions. IEEE Intell. Syst. 37(3): 27-35 (2022) - [j22]Moshe Stekel, Amos Azaria, Shai Gordin:
Word Sense Induction with Attentive Context Clustering. J. Data Min. Digit. Humanit. 2022 (2022) - [c65]Chaya Levinger, Noam Hazon, Amos Azaria:
Social Aware Assignment of Passengers in Ridesharing (Student Abstract). AAAI 2022: 12995-12996 - [c64]Meir Nizri, Noam Hazon, Amos Azaria:
Explainable Shapley-Based Allocation (Student Abstract). AAAI 2022: 13023-13024 - [c63]Yitzhak Spielberg, Amos Azaria:
Criticality-Based Advice in Reinforcement Learning (Student Abstract). AAAI 2022: 13057-13058 - [c62]Meir Nizri, Amos Azaria, Noam Hazon:
Improving the Perception of Fairness in Shapley-Based Allocations. CogSci 2022 - [c61]Ido Shapira, Amos Azaria:
Reinforcement Learning Agents for Interacting with Humans. CogSci 2022 - [c60]Yitzhak Spielberg, Amos Azaria:
Criticality-Based Advice in Reinforcement Learning. CogSci 2022 - [c59]Michael Fleicher, Oren Musicant, Amos Azaria:
Using Physiological Metrics to Improve Reinforcement Learning for Autonomous Vehicles. ICTAI 2022: 1223-1230 - [c58]Amos Azaria:
Irrational, but Adaptive and Goal Oriented: Humans Interacting with Autonomous Agents. IJCAI 2022: 5798-5802 - [d1]David Zar, Noam Hazon, Amos Azaria:
Satisfaction from shared rides. IEEE DataPort, 2022
- [i20]Yitzhak Spielberg, Amos Azaria:
The Concept of Criticality in AI Safety. CoRR abs/2201.04632 (2022) - [i19]Yitzhak Spielberg, Amos Azaria:
Revelation of Task Difficulty in AI-aided Education. CoRR abs/2201.04633 (2022) - [i18]Yitzhak Spielberg, Amos Azaria:
Criticality-Based Varying Step-Number Algorithm for Reinforcement Learning. CoRR abs/2201.05034 (2022) - [i17]Gabriel Hartmann, Amos Azaria:
Meta-Reinforcement Learning Using Model Parameters. CoRR abs/2210.15515 (2022) - 2021
- [j21]Chaya Levinger, Noam Hazon, Amos Azaria:
Efficient Computation and Estimation of the Shapley Value for Traveling Salesman Games. IEEE Access 9: 129119-129129 (2021) - [j20]Yitzhak Spielberg, Amos Azaria:
Criticality-based Varying Step-number Algorithm for Reinforcement Learning. Int. J. Artif. Intell. Tools 30(4): 2150019:1-2150019:21 (2021) - [j19]Simon Pikalov, Elisha Azaria, Shaya Sonnenberg, Boaz Ben-Moshe, Amos Azaria:
Vision-Less Sensing for Autonomous Micro-Drones. Sensors 21(16): 5293 (2021) - [j18]Merav Chkroun, Amos Azaria:
A Safe Collaborative Chatbot for Smart Home Assistants. Sensors 21(19): 6641 (2021) - [j17]Merav Allouch, Amos Azaria, Rina Azoulay:
Conversational Agents: Goals, Technologies, Vision and Challenges. Sensors 21(24): 8448 (2021) - [c57]Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. AAAI 2021: 4902-4911 - [c56]Keren Nivasch, Dana Shapira, Amos Azaria:
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract). AAAI 2021: 15857-15858 - [c55]David Zar, Noam Hazon, Amos Azaria:
Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction. EUMAS 2021: 89-107 - [c54]Ido Shapira, Amos Azaria:
Autonomous Agents for The Single Track Road Problem. ICTAI 2021: 81-85 - [c53]Keren Nivasch, Amos Azaria:
A Deep Genetic Method for Keyboard Layout Optimization. ICTAI 2021: 435-441 - [c52]Yitzhak Spielberg, Amos Azaria:
Revelation of Task Difficulty in Al-aided Education. ICTAI 2021: 1403-1408 - [c51]Noa Mansbach, Evgeny Hershkovitch Neiterman, Amos Azaria:
An Agent for Competing with Humans in a Deceptive Game Based on Vocal Cues. Interspeech 2021: 4134-4138 - [i16]David Zar, Noam Hazon, Amos Azaria:
Explaining Ridesharing: Selection of Explanations for Increasing User Satisfaction. CoRR abs/2105.12500 (2021) - [i15]Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Autonomous Head-to-Head Racing in the Indy Autonomous Challenge Simulation Race. CoRR abs/2109.05455 (2021) - [i14]Ido Shapira, Amos Azaria:
A Socially Aware Reinforcement Learning Agent for The Single Track Road Problem. CoRR abs/2109.05486 (2021) - 2020
- [j16]Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell:
An agent for learning new natural language commands. Auton. Agents Multi Agent Syst. 34(1): 6 (2020) - [j15]Chaya Levinger, Noam Hazon, Amos Azaria:
Human satisfaction as the ultimate goal in ridesharing. Future Gener. Comput. Syst. 112: 176-184 (2020) - [j14]Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Model-Based Reinforcement Learning for Time-Optimal Velocity Control. IEEE Robotics Autom. Lett. 5(4): 6185-6192 (2020) - [j13]Amos Azaria, Keren Nivasch:
SAIF: A Correction-Detection Deep-Learning Architecture for Personal Assistants. Sensors 20(19): 5577 (2020) - [c50]Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath:
AI for Explaining Decisions in Multi-Agent Environments. AAAI 2020: 13534-13538 - [c49]Yael Sabato, Amos Azaria, Noam Hazon:
Viral vs. Effective: Utility Based Influence Maximization. AAMAS 2020: 1169-1177 - [c48]Chaya Levinger, Noam Hazon, Amos Azaria:
Computing the Shapley Value for Ride-Sharing and Routing Games. AAMAS 2020: 1895-1897 - [c47]Avigail Stekel, Moshe Hanukoglu, Aviv Rovshitz, Nissan Goldberg, Amos Azaria:
Learning to Conceal: A Method for Preserving Privacy and Avoiding Prejudice in Images. ICTAI 2020: 761-766 - [c46]Yuri Safovich, Amos Azaria:
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling. ICTAI 2020: 835-843 - [c45]Sören Schleibaum, Maike Greve, Tim-Benjamin Lembcke, Amos Azaria, Jelena Fiosina, Noam Hazon, Lutz M. Kolbe, Sarit Kraus, Jörg P. Müller, Mark Vollrath:
How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments. VEHITS 2020: 157-168 - [c44]Evgeny Hershkovitch Neiterman, Moshe Bitan, Amos Azaria:
Multilingual Deception Detection by Autonomous Agents. WWW (Companion Volume) 2020: 480-484 - [i13]Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. CoRR abs/2006.10022 (2020)
2010 – 2019
- 2019
- [j12]Ting-Hao K. Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham:
InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd. Hum. Comput. 6: 113-146 (2019) - [j11]Merav Chkroun, Amos Azaria:
LIA: A Virtual Assistant that Can Be Taught New Commands by Speech. Int. J. Hum. Comput. Interact. 35(17): 1596-1607 (2019) - [c43]Amos Azaria, Keren Nivasch:
The Multimodal Correction Detection Problem. AAMAS 2019: 1784-1786 - [c42]Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. ICTAI 2019: 186-193 - [c41]Amos Azaria, Seagal Azaria:
Semi-Supervised Ovulation Detection Based on Multiple Properties. ICTAI 2019: 222-228 - [c40]Yitzhak Spielberg, Amos Azaria:
The Concept of Criticality in Reinforcement Learning. ICTAI 2019: 251-258 - [c39]Merav Allouch, Amos Azaria, Rina Azoulay:
Detecting Sentences that May be Harmful to Children with Special Needs. ICTAI 2019: 1209-1213 - [i12]Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria:
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. CoRR abs/1902.09093 (2019) - [i11]Chaya Levinger, Noam Hazon, Amos Azaria:
Fair Sharing: The Shapley Value for Ride-Sharing and Routing Games. CoRR abs/1909.04713 (2019) - [i10]Ting-Hao Kenneth Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham:
InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd. CoRR abs/1909.05725 (2019) - [i9]Moshe Hanukoglu, Nissan Goldberg, Aviv Rovshitz, Amos Azaria:
Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice. CoRR abs/1909.09156 (2019) - [i8]Sarit Kraus, Amos Azaria, Jelena Fiosina, Maike Greve, Noam Hazon, Lutz M. Kolbe, Tim-Benjamin Lembcke, Jörg P. Müller, Sören Schleibaum, Mark Vollrath:
AI for Explaining Decisions in Multi-Agent Environments. CoRR abs/1910.04404 (2019) - [i7]Yuri Safovich, Amos Azaria:
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling. CoRR abs/1912.00698 (2019) - 2018
- [c38]Merav Chkroun, Amos Azaria:
Safebot: A Safe Collaborative Chatbot. AAAI Workshops 2018: 695-698 - [c37]Merav Chkroun, Amos Azaria:
"Did I Say Something Wrong?": Towards a Safe Collaborative Chatbot. AAAI 2018: 8067-8068 - [c36]Igor Labutov, Bishan Yang, Anusha Prakash, Amos Azaria:
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds. ACL (1) 2018: 833-844 - [c35]Avigail Stekel, Merav Chkroun, Amos Azaria:
Goldbach's Function Approximation Using Deep Learning. WI 2018: 502-507 - [p1]Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell:
Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. Studies in Conversational UX Design 2018: 119-137 - [i6]Avigail Stekel, Merav Chkroun, Amos Azaria:
Goldbach's Function Approximation Using Deep Learning. CoRR abs/1803.09237 (2018) - [i5]Chaya Levinger, Amos Azaria, Noam Hazon:
Human Satisfaction as the Ultimate Goal in Ridesharing. CoRR abs/1807.00376 (2018) - [i4]Yitzhak Spielberg, Amos Azaria:
The Concept of Criticality in Reinforcement Learning. CoRR abs/1810.07254 (2018) - [i3]Gabriel Hartmann, Zvi Shiller, Amos Azaria:
Deep Reinforcement Learning for Time Optimal Velocity Control using Prior Knowledge. CoRR abs/1811.11615 (2018) - 2017
- [j10]Sneha Chaudhari, Amos Azaria, Tom M. Mitchell:
An entity graph based Recommender System. AI Commun. 30(2): 141-149 (2017) - [j9]Amos Azaria, David Sarne, Yonatan Aumann:
Distributed Matching with Mixed Maximum-Minimum Utilities. ACM Trans. Economics and Comput. 5(2): 11:1-11:23 (2017) - [c34]Toby Jia-Jun Li, Amos Azaria, Brad A. Myers:
SUGILITE: Creating Multimodal Smartphone Automation by Demonstration. CHI 2017: 6038-6049 - [c33]Shashank Srivastava, Amos Azaria, Tom M. Mitchell:
Parsing Natural Language Conversations using Contextual Cues. IJCAI 2017: 4089-4095 - [i2]Ting-Hao (Kenneth) Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham:
"Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. CoRR abs/1708.03044 (2017) - 2016
- [j8]Amos Azaria, Ya'akov Gal, Sarit Kraus, Claudia V. Goldman:
Strategic advice provision in repeated human-agent interactions. Auton. Agents Multi Agent Syst. 30(1): 4-29 (2016) - [j7]Amos Azaria, Ariella Richardson, Avi Rosenfeld:
Autonomous agents and human cultures in the trust-revenge game. Auton. Agents Multi Agent Syst. 30(3): 486-505 (2016) - [j6]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer:
The DARPA Twitter Bot Challenge. Computer 49(6): 38-46 (2016) - [c32]Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Joachim Meyer, Omer Tsimhoni:
Personalized Alert Agent for Optimal User Performance. AAAI 2016: 857-864 - [c31]Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell:
Instructable Intelligent Personal Agent. AAAI 2016: 2681-2689 - [c30]Ting-Hao (Kenneth) Huang, Amos Azaria, Jeffrey P. Bigham:
InstructableCrowd: Creating IF-THEN Rules via Conversations with the Crowd. CHI Extended Abstracts 2016: 1555-1562 - [c29]Ting-Hao Kenneth Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham:
"Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. HCOMP 2016: 79-88 - [c28]Amos Azaria, Jason I. Hong:
Recommender Systems with Personality. RecSys 2016: 207-210 - [c27]Sneha Chaudhari, Amos Azaria, Tom M. Mitchell:
An Entity Graph Based Recommender System. RecSys Posters 2016 - [i1]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang:
The DARPA Twitter Bot Challenge. CoRR abs/1601.05140 (2016) - 2015
- [j5]Amos Azaria, Ariel Rosenfeld, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Advice Provision for Energy Saving in Automobile Climate-Control System. AI Mag. 36(3): 61-72 (2015) - [c26]Ariel Rosenfeld, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Adaptive Advice in Automobile Climate Control Systems. AAAI Workshop: AI for Transportation 2015 - [c25]Ariel Rosenfeld, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Adaptive Advice in Automobile Climate Control Systems. AAMAS 2015: 543-551 - [c24]Avraham Shvartzon, Amos Azaria, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni, Joachim Meyer:
A Game for Studying Maintenance Alerts' Effectiveness. AAMAS 2015: 1655-1656 - [c23]Amos Azaria, Ariella Richardson, Sarit Kraus:
An Agent for Deception Detection in Discussion Based Environments. CSCW 2015: 218-227 - [c22]Ariel Rosenfeld, Noa Agmon, Oleg Maksimov, Amos Azaria, Sarit Kraus:
Intelligent Agent Supporting Human-Multi-Robot Team Collaboration. IJCAI 2015: 1902-1908 - 2014
- [j4]Amos Azaria, Yonatan Aumann, Sarit Kraus:
Automated agents for reward determination for human work in crowdsourcing applications. Auton. Agents Multi Agent Syst. 28(6): 934-955 (2014) - [j3]Amos Azaria, Ariella Richardson, Sarit Kraus, V. S. Subrahmanian:
Behavioral Analysis of Insider Threat: A Survey and Bootstrapped Prediction in Imbalanced Data. IEEE Trans. Comput. Soc. Syst. 1(2): 135-155 (2014) - [j2]Amos Azaria, Zinovi Rabinovich, Claudia V. Goldman, Sarit Kraus:
Strategic Information Disclosure to People with Multiple Alternatives. ACM Trans. Intell. Syst. Technol. 5(4): 64:1-64:21 (2014) - [c21]Cody Buntain, Amos Azaria, Sarit Kraus:
Leveraging Fee-Based, Imperfect Advisors in Human-Agent Games of Trust. AAAI 2014: 916-922 - [c20]Amos Azaria, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Advice Provision for Energy Saving in Automobile Climate Control Systems. AAAI 2014: 2954-2959 - [c19]Amos Azaria, Ya'akov Gal, Claudia V. Goldman, Sarit Kraus:
Advice Provision for Choice Selection Processes with Ranked Options. AAAI 2014: 3096-3097 - [c18]Amos Azaria, Ariella Richardson, Sarit Kraus:
An agent for the prospect presentation problem. AAMAS 2014: 989-996 - [c17]Amos Azaria, Ariella Richardson, Sarit Kraus:
An agent for deception detection in discussion basedenvironments. AAMAS 2014: 1387-1388 - [c16]Amos Azaria, Ariella Richardson, Avshalom Elmalech, Avi Rosenfeld:
Automated agents' behavior in the trust-revenge game incomparison to other cultures. AAMAS 2014: 1389-1390 - [c15]Amos Azaria, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Advice provision for energy saving in automobile climate control systems. AAMAS 2014: 1391-1392 - 2013
- [c14]Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely:
Movie Recommender System for Profit Maximization (Short LBP). AAAI (Late-Breaking Developments) 2013 - [c13]Moshe Bitan, Ya'akov Gal, Sarit Kraus, Elad Dokow, Amos Azaria:
Social Rankings in Human-Computer Committees. AAAI 2013: 116-122 - [c12]Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe:
Analyzing the Effectiveness of Adversary Modeling in Security Games. AAAI 2013: 718-724 - [c11]Amos Azaria, Sarit Kraus:
Advice Provision in Multiple Prospect Selection Problems. AAAI 2013: 1605-1606 - [c10]Thanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus:
Modeling human adversary decision making in security games: an initial report. AAMAS 2013: 1297-1298 - [c9]Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely:
Movie recommender system for profit maximization. RecSys 2013: 121-128 - [c8]Amos Azaria, Sarit Kraus, Ariella Richardson:
A system for advice provision in multiple prospectselection problems. RecSys 2013: 311-314 - 2012
- [j1]Avi Rosenfeld, Inon Zuckerman, Amos Azaria, Sarit Kraus:
Combining psychological models with machine learning to better predict people's decisions. Synth. 189(Supplement-1): 81-93 (2012) - [c7]Amos Azaria, Yonatan Aumann, Sarit Kraus:
Automated Strategies for Determining Rewards for Human Work. AAAI 2012: 1514-1521 - [c6]Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman, Ya'akov Gal:
Strategic Advice Provision in Repeated Human-Agent Interactions. AAAI 2012: 1522-1528 - [c5]Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman, Ya'akov Gal:
Strategic Advice Provision in Repeated Human-Agent Interactions (Abstract). AAAI 2012: 2411-2412 - [c4]Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman, Omer Tsimhoni:
Giving advice to people in path selection problems. AAMAS 2012: 459-466 - [c3]Amos Azaria, David Sarne, Yonatan Aumann:
Distributed Matching with Mixed Maximum-Minimum Utilities. IAT 2012: 134-139 - 2011
- [c2]Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman:
Strategic Information Disclosure to People with Multiple Alternatives. AAAI 2011: 594-600 - [c1]Amos Azaria, Zinovi Rabinovich, Sarit Kraus, Claudia V. Goldman:
Giving Advice to People in Path Selection Problems. Interactive Decision Theory and Game Theory 2011
Coauthor Index
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last updated on 2024-10-01 20:46 CEST by the dblp team
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