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ORCIDNicholas Mattei
Nicholas Scott Mattei – Nick Mattei
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- affiliation: Tulane University, USA
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2020 – today
- 2025
[e3]Rupert Freeman
, Nicholas Mattei:
Algorithmic Decision Theory - 8th International Conference, ADT 2024, New Brunswick, NJ, USA, October 14-16, 2024, Proceedings. Lecture Notes in Computer Science 15248, Springer 2025, ISBN 978-3-031-73902-6 [contents]- 2024
- [j37]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Auton. Agents Multi Agent Syst. 38(2): 35 (2024) - [j36]Omer Lev, Harper Lyon, Nicholas Mattei:
Impartial Peer Selection: An Annotated Reading List. SIGecom Exch. 22(1): 113-117 (2024) - [c85]Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke:
Social Choice for Heterogeneous Fairness in Recommendation. RecSys 2024: 1096-1101 - [i53]Leonardo Matone, Ben Abramowitz, Nicholas Mattei, Avinash Balakrishnan:
DeepVoting: Learning Voting Rules with Tailored Embeddings. CoRR abs/2408.13630 (2024) - [i52]Elena Stefancova, Cassidy All, Joshua Paup, Martin Homola, Nicholas Mattei, Robin Burke:
Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking. CoRR abs/2409.14078 (2024) - [i51]Amanda Aird, Elena Stefancova, Cassidy All, Amy Voida, Martin Homola, Nicholas Mattei, Robin Burke:
Social Choice for Heterogeneous Fairness in Recommendation. CoRR abs/2410.04551 (2024) - 2023
- [j35]Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
PeerNomination: A novel peer selection algorithm to handle strategic and noisy assessments. Artif. Intell. 316: 103843 (2023) - [j34]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck:
SIGAI Annual Report: July 1 2022 - August 30 2023. AI Matters 9(3): 4-9 (2023) - [j33]Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi:
Computing welfare-Maximizing fair allocations of indivisible goods. Eur. J. Oper. Res. 307(2): 773-784 (2023) - [c84]Inbal Rozencweig, Reshef Meir, Nicholas Mattei, Ofra Amir:
Mitigating Skewed Bidding for Conference Paper Assignment. AAMAS 2023: 573-581 - [c83]Ben Abramowitz, Nicholas Mattei:
Social Mechanism Design: A Low-Level Introduction. AAMAS 2023: 2472-2474 - [c82]Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng:
Does Delegating Votes Protect Against Pandering Candidates? AAMAS 2023: 2685-2687 - [c81]Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Value-based Fast and Slow AI Nudging. ETHAICS@IJCAI 2023 - [c80]Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke, Amy Voida:
The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation. FAccT 2023: 1652-1663 - [c79]Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Cory Siler, Sara-Jo Swiatek:
Teaching Computer Science Ethics Using Science Fiction. SIGCSE (2) 2023: 1184 - [c78]Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng:
Pandering in a (flexible) representative democracy. UAI 2023: 2058-2068 - [c77]Linsen Li, Aron Culotta, Douglas N. Harris, Nicholas Mattei:
Online Reviews Are Leading Indicators of Changes in K-12 School Attributes. WWW 2023: 2808-2818 - [e2]Marianna Bergamaschi Ganapini, Lior Horesh, Luís C. Lamb, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Proceedings of the Thinking Fast and Slow and Other Cognitive Theories in AI, a AAAI 2022 Fall Symposium, Westin Arlington Gateway in Arlington, Virginia, November 17-19, 2022. CEUR Workshop Proceedings 3332, CEUR-WS.org 2023 [contents] - [e1]Marianna Bergamaschi Ganapini, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023) co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) Macao, August 21, 2023., Macao, August 21, 2023. CEUR Workshop Proceedings 3547, CEUR-WS.org 2023 [contents] - [i50]Inbal Rozencweig, Reshef Meir, Nick Mattei, Ofra Amir:
Mitigating Skewed Bidding for Conference Paper Assignment. CoRR abs/2303.00435 (2023) - [i49]Amanda Aird, Paresha Farastu, Joshua Sun, Amy Voida, Nicholas Mattei, Robin Burke:
Dynamic fairness-aware recommendation through multi-agent social choice. CoRR abs/2303.00968 (2023) - [i48]Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Value-based Fast and Slow AI Nudging. CoRR abs/2307.07628 (2023) - [i47]Amanda Aird, Cassidy All, Paresha Farastu, Elena Stefancova, Joshua Sun, Nicholas Mattei, Robin Burke:
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF. CoRR abs/2309.08621 (2023) - 2022
- [j32]Nicholas Mattei, Sanmay Das:
Call for nominations: 2022 SIGAI industry award. AI Matters 8(1): 12-13 (2022) - [j31]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Ziyu Yao, Anuj Karpatne, Alan Tsang, Matt Luckcuck:
SIGAI Annual Report: July 1 2021 - June 30 2022. AI Matters 8(3): 4-7 (2022) - [j30]Haris Aziz, Péter Biró, Tamás Fleiner, Serge Gaspers, Ronald de Haan, Nicholas Mattei, Baharak Rastegari:
Stable matching with uncertain pairwise preferences. Theor. Comput. Sci. 909: 1-11 (2022) - [c76]Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Making Human-Like Moral Decisions. AIES 2022: 447-454 - [c75]Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson:
Group Fairness in Bandits with Biased Feedback. AAMAS 2022: 1155-1163 - [c74]Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Thinking Fast and Slow in AI: The Role of Metacognition. LOD (2) 2022: 502-509 - [c73]Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Combining Fast and Slow Thinking for Human-like and Efficient Decisions in Constrained Environments. NeSy 2022: 171-185 - [c72]Robin Burke, Nicholas Mattei, Vladislav Grozin, Amy Voida, Nasim Sonboli:
Multi-agent Social Choice for Dynamic Fairness-aware Recommendation. UMAP (Adjunct Publication) 2022: 234-244 - [i46]Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. CoRR abs/2201.07050 (2022) - [i45]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR abs/2201.07763 (2022) - [i44]Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable:
Learning Behavioral Soft Constraints from Demonstrations. CoRR abs/2202.10407 (2022) - [i43]Ben Abramowitz, Nicholas Mattei:
Towards Group Learning: Distributed Weighting of Experts. CoRR abs/2206.02566 (2022) - [i42]Paresha Farastu, Nicholas Mattei, Robin Burke:
Who Pays? Personalization, Bossiness and the Cost of Fairness. CoRR abs/2209.04043 (2022) - [i41]Ben Abramowitz, Nicholas Mattei:
Weighting Experts with Inaccurate Judges. CoRR abs/2211.08494 (2022) - [i40]Ben Abramowitz, Nicholas Mattei:
Social Mechanism Design: A Low-Level Introduction. CoRR abs/2211.08501 (2022) - [i39]Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng:
Pandering in a Flexible Representative Democracy. CoRR abs/2211.09986 (2022) - 2021
- [j29]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne, Alan Tsang:
SIGAI annual report: July 1 2020 - June 30 2021. AI Matters 7(3): 5-11 (2021) - [j28]Cristina Cornelio, Judy Goldsmith, Umberto Grandi, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Reasoning with PCP-Nets. J. Artif. Intell. Res. 72: 1103-1161 (2021) - [c71]Reshef Meir, Jérôme Lang, Julien Lesca, Nicholas Mattei, Natan Kaminsky:
A Market-Inspired Bidding Scheme for Peer Review Paper Assignment. AAAI 2021: 4776-4784 - [c70]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. AAAI 2021: 5709-5716 - [c69]Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava:
Thinking Fast and Slow in AI. AAAI 2021: 15042-15046 - [c68]Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jonathan Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments. TFSOCTAI@AAAI Fall Symposium 2021 - [c67]Andrea Martin, Kristen Brent Venable, Nicholas Mattei:
Behavioral Stable Marriage Problems. DAI 2021: 150-170 - [c66]Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P. Bennett:
Causal Inference for Event Pairs in Multivariate Point Processes. NeurIPS 2021: 17311-17324 - [i38]Omer Lev, Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
Peer Selection with Noisy Assessments. CoRR abs/2107.10121 (2021) - [i37]Arie Glazier, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Kristen Brent Venable:
Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations. CoRR abs/2109.11018 (2021) - [i36]Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Thinking Fast and Slow in AI: the Role of Metacognition. CoRR abs/2110.01834 (2021) - 2020
- [j27]Sanmay Das, Nicholas Mattei, John P. Dickerson, Sven Koenig, Louise A. Dennis, Larry R. Medsker, Todd W. Neller, Iolanda Leite, Anuj Karpatne:
SIGAI annual report: July 1 2019 - June 30 2020. AI Matters 6(2): 5-9 (2020) - [j26]Haris Aziz, Péter Biró, Serge Gaspers, Ronald de Haan, Nicholas Mattei, Baharak Rastegari:
Stable Matching with Uncertain Linear Preferences. Algorithmica 82(5): 1410-1433 (2020) - [c65]Debarun Bhattacharjya, Karthikeyan Shanmugam, Tian Gao, Nicholas Mattei, Kush R. Varshney, Dharmashankar Subramanian:
Event-Driven Continuous Time Bayesian Networks. AAAI 2020: 3259-3266 - [c64]Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. AAAI 2020: 3946-3953 - [c63]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. AAAI 2020: 8074-8081 - [c62]Candice Schumann, Jeffrey S. Foster, Nicholas Mattei, John P. Dickerson:
We Need Fairness and Explainability in Algorithmic Hiring. AAMAS 2020: 1716-1720 - [c61]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. AAMAS 2020: 1993-1995 - [c60]Andrea Loreggia, Nicholas Mattei, Stefano Quintarelli:
Artificial Intelligence Research for Fighting Political Polarisation: A Research Agenda. IFDaD 2020: 24-33 - [c59]Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. IJCAI 2020: 393-399 - [c58]Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian:
Cause-Effect Association between Event Pairs in Event Datasets. IJCAI 2020: 1202-1208 - [c57]Nicholas Mattei:
Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning. IJCAI 2020: 5169-5173 - [i35]Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam, Debarun Bhattacharjya, Nicholas Mattei:
A Multi-Channel Neural Graphical Event Model with Negative Evidence. CoRR abs/2002.09575 (2020) - [i34]Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov:
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection. CoRR abs/2004.14939 (2020) - [i33]Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao:
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR abs/2009.02590 (2020) - [i32]Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava:
Thinking Fast and Slow in AI. CoRR abs/2010.06002 (2020) - [i31]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. CoRR abs/2012.02811 (2020) - [i30]Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi:
Computing Fair Utilitarian Allocations of Indivisible Goods. CoRR abs/2012.03979 (2020)
2010 – 2019
- 2019
- [j25]Haris Aziz, Omer Lev, Nicholas Mattei, Jeffrey S. Rosenschein, Toby Walsh:
Strategyproof peer selection using randomization, partitioning, and apportionment. Artif. Intell. 275: 295-309 (2019) - [j24]Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Iolanda Leite, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Marion Neumann, Plamen Petrov, Michael Rovatsos, David G. Stork:
ACM SIGAI activity report. AI Matters 5(3): 6-11 (2019) - [j23]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Using multi-armed bandits to learn ethical priorities for online AI systems. IBM J. Res. Dev. 63(4/5): 1:1-1:13 (2019) - [j22]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63(4/5): 2:1-2:9 (2019) - [c56]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. AAAI 2019: 3-11 - [c55]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI 2019: 7208-7215 - [c54]Francesca Rossi, Nicholas Mattei:
Building Ethically Bounded AI. AAAI 2019: 9785-9789 - [c53]Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei:
The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. AIES 2019: 13-19 - [c52]Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC 2019 - [c51]Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, Gyana R. Parija:
DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. AAMAS 2019: 2235-2237 - [c50]Ben Abramowitz, Nicholas Mattei:
Flexible Representative Democracy: An Introduction with Binary Issues. IJCAI 2019: 3-10 - [c49]Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz, Serge Gaspers, Antonia Marcu, Nicholas Mattei, Toby Walsh:
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging. IJCAI 2019: 5569-5575 - [c48]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Metric Learning for Value Alignment. AISafety@IJCAI 2019 - [c47]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
CPMetric: Deep Siamese Networks for Metric Learning on Structured Preferences. IJCAI 2019: 217-234 - [c46]Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi:
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI 2019: 6377-6381 - [i29]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristics in Multi-Winner Approval Voting. CoRR abs/1905.12104 (2019) - [i28]Haris Aziz, Xin Huang, Nicholas Mattei, Erel Segal-Halevi:
The Constrained Round Robin Algorithm for Fair and Efficient Allocation. CoRR abs/1908.00161 (2019) - [i27]Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel, Spencer Whitehead, Ibrahim Abdelaziz, Avinash Balakrishnan, Maria Chang, Kshitij Fadnis, R. Chulaka Gunasekara, Bassem Makni, Nicholas Mattei, Kartik Talamadupula, Achille Fokoue:
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks. CoRR abs/1911.02060 (2019) - [i26]Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Heuristic Strategies in Uncertain Approval Voting Environments. CoRR abs/1912.00011 (2019) - [i25]Candice Schumann, Zhi Lang, Nicholas Mattei, John P. Dickerson:
Group Fairness in Bandit Arm Selection. CoRR abs/1912.03802 (2019) - 2018
- [j21]Haris Aziz, Serge Gaspers, Simon Mackenzie, Nicholas Mattei, Paul Stursberg, Toby Walsh:
Fixing balanced knockout and double elimination tournaments. Artif. Intell. 262: 1-14 (2018) - [j20]Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky:
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39(4): 45-56 (2018) - [j19]John P. Dickerson, Nicholas Mattei:
AAAI/ACM SIGAI job fair 2018: a retrospective. AI Matters 4(1): 5-6 (2018) - [j18]Benjamin Kuipers, Nicholas Mattei:
1st AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society: a retrospective. AI Matters 4(1): 7-9 (2018) - [j17]Nicholas Mattei:
2018 ACM SIGAI student essay contest on artificial intelligence technologies. AI Matters 4(3): 4-6 (2018) - [j16]Sven Koenig, Sanmay Das, Rosemary D. Paradis, John P. Dickerson, Yolanda Gil, Katherine Guo, Benjamin Kuipers, Hang Ma, Nicholas Mattei, Amy McGovern, Larry R. Medsker, Todd W. Neller, Plamen Petrov, Michael Rovatsos, David G. Stork:
ACM SIGAI activity report. AI Matters 4(3): 7-11 (2018) - [j15]Sven Koenig, Sanmay Das, Rosemary D. Paradis, Michael Rovatsos, Nicholas Mattei:
Call for proposals: artificial intelligence activities fund. AI Matters 4(4): 5-6 (2018) - [j14]Emanuelle Burton, Judy Goldsmith, Nicholas Mattei:
How to teach computer ethics through science fiction. Commun. ACM 61(8): 54-64 (2018) - [c45]Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh:
The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. AAAI 2018: 1138-1145 - [c44]Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei:
The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. AAAI Spring Symposia 2018 - [c43]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Preferences and Ethical Principles in Decision Making. AAAI Spring Symposia 2018 - [c42]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL 2018: 60-70 - [c41]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Preferences and Ethical Principles in Decision Making. AIES 2018: 222 - [c40]Nicholas Mattei, Abdallah Saffidine, Toby Walsh:
Fairness in Deceased Organ Matching. AIES 2018: 236-242 - [c39]Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
On the Distance Between CP-nets. AAMAS 2018: 955-963 - [c38]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
An Interface for Annotating Science Questions. EMNLP (Demonstration) 2018: 102-107 - [c37]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. IJCAI 2018: 5802-5804 - [c36]Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia:
A Cost-Effective Framework for Preference Elicitation and Aggregation. UAI 2018: 446-456 - [i24]Zhibing Zhao, Haoming Li, Junming Wang, Jeffrey O. Kephart, Nicholas Mattei, Hui Su, Lirong Xia:
A Cost-Effective Framework for Preference Elicitation and Aggregation. CoRR abs/1805.05287 (2018) - [i23]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR abs/1806.00358 (2018) - [i22]Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Incorporating Behavioral Constraints in Online AI Systems. CoRR abs/1809.05720 (2018) - [i21]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR abs/1809.05724 (2018) - [i20]Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi,