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2020 – today
- 2024
- [j29]Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta:
Advances in automatically rating the trustworthiness of text processing services. AI Ethics 4(1): 5-13 (2024) - [c114]Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan:
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. AAAI 2024: 22833-22841 - [c113]Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns:
Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning. AAAI 2024: 23820-23822 - [c112]Siva Likitha Valluru, Michael Widener, Biplav Srivastava, Sugata Gangopadhyay:
ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals. COMAD/CODS 2024: 547-552 - [c111]Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth:
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS 2024: 432-444 - [i51]Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth:
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR abs/2401.02500 (2024) - [i50]Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu:
The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias. CoRR abs/2401.12985 (2024) - [i49]Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matthew Irvin, Ashish Kundu:
Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. CoRR abs/2402.01760 (2024) - [i48]Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava:
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges. CoRR abs/2402.12702 (2024) - [i47]Biplav Srivastava, Vishal Pallagani:
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch. CoRR abs/2404.04540 (2024) - [i46]Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta:
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR abs/2406.12908 (2024) - [i45]Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Biplav Srivastava:
BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes. CoRR abs/2406.13714 (2024) - [i44]Vishal Pallagani, Biplav Srivastava, Nitin Gupta:
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks. CoRR abs/2407.13597 (2024) - 2023
- [j28]Biplav Srivastava, Anita Nikolich, Tarmo Koppel:
AI and elections: An introduction to the special issue. AI Mag. 44(3): 216-217 (2023) - [j27]Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan:
On safe and usable chatbots for promoting voter participation. AI Mag. 44(3): 240-247 (2023) - [j26]Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava:
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement. Frontiers Artif. Intell. 6 (2023) - [c110]Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri:
A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors. AAAI 2023: 15545-15550 - [c109]Bihu Suchetana, Biplav Srivastava, Hari Prabhat Gupta, Manabendra Saharia:
Promoting Sustainable Water Usage and Management With Water Data, AI and Policy. COMAD/CODS 2023: 308-311 - [c108]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 - [c107]Kausik Lakkaraju, Sara E. Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C. Muppasani, Biplav Srivastava:
LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making. ICAIF 2023: 100-107 - [c106]Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli:
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. IJCAI 2023: 7158-7162 - [c105]Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju:
Building and Using a Planning Ontology from Past Data for Performance Efficiency. PLATO@ICAPS 2023 - [c104]Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu:
The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias. TPS-ISA 2023: 380-389 - [e7]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] - [e6]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] - [i43]Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta:
Rating Sentiment Analysis Systems for Bias through a Causal Lens. CoRR abs/2302.02038 (2023) - [i42]Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta:
Advances in Automatically Rating the Trustworthiness of Text Processing Services. CoRR abs/2302.09079 (2023) - [i41]Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava:
Fast and Slow Planning. CoRR abs/2303.04283 (2023) - [i40]Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava, Bhaktee Dongaonkar:
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey. CoRR abs/2304.13191 (2023) - [i39]Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia:
Understanding the Capabilities of Large Language Models for Automated Planning. CoRR abs/2305.16151 (2023) - [i38]Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava:
Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes. CoRR abs/2307.07422 (2023) - [i37]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) - [i36]Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan:
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency. CoRR abs/2307.13549 (2023) - [i35]Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli:
On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations. CoRR abs/2307.13552 (2023) - [i34]Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi:
Evaluating Chatbots to Promote Users' Trust - Practices and Open Problems. CoRR abs/2309.05680 (2023) - [i33]Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan:
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals. CoRR abs/2309.09404 (2023) - [i32]C. A. Jothishwaran, Biplav Srivastava, Jitin Singla, Sugata Gangopadhyay:
On Learning with LAD. CoRR abs/2309.16630 (2023) - 2022
- [c103]Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu:
ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. AAAI 2022: 13185-13187 - [c102]Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Making Human-Like Moral Decisions. AIES 2022: 447-454 - [c101]Akshay Gupta, Biplav Srivastava:
Towards Developing Better Object Detectors for Real-World Use. COMAD/CODS 2022: 280-281 - [c100]Kausik Lakkaraju, Vinamra Palaiya, Sai Teja Paladi, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri:
Data-Based Insights for the Masses: Scaling Natural Language Querying to Middleware Data. DASFAA (3) 2022: 527-531 - [c99]Dezhi Wu, Hengtao Tang, Cassidy Bradley, Brittany Capps, Prathamjeet Singh, Katelyn Wyandt, Karen Wong, Matthew Irvin, Forest Agostinelli, Biplav Srivastava:
AI-Driven User Interface Design for Solving a Rubik's Cube: A Scaffolding Design Perspective. HCI (41) 2022: 490-498 - [c98]Cassidy Bradley, Dezhi Wu, Hengtao Tang, Ishu Singh, Katelyn Wydant, Brittany Capps, Karen Wong, Forest Agostinelli, Matthew Irvin, Biplav Srivastava:
Explainable Artificial Intelligence (XAI) User Interface Design for Solving a Rubik's Cube. HCI (49) 2022: 605-612 - [c97]Hem Chandra Joshi, Utkarsh Yadav, Biplav Srivastava, Ram Manohar Singh:
Learning About People's Attitude Towards Food Available in India and Its Implications for Fair AI-based Systems. ICDM (Workshops) 2022: 985-992 - [c96]Biplav Srivastava, Tarmo Koppel, Sai Teja Paladi, Siva Likitha Valluru, Rohit Sharma, Owen Bond:
ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls. ICDM (Workshops) 2022: 1002-1009 - [c95]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 - [c94]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 - [i31]Biplav Srivastava, Tarmo Koppel, Ronak Shah, Owen Bond, Sai Teja Paladi, Rohit Sharma, Austin Hetherington:
ULTRA: A Data-driven Approach for Recommending Team Formation in Response to Proposal Calls. CoRR abs/2201.05646 (2022) - [i30]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) - [i29]Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava:
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. CoRR abs/2203.17109 (2022) - [i28]Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri:
A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors. CoRR abs/2209.00987 (2022) - [i27]Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia:
Plansformer: Generating Symbolic Plans using Transformers. CoRR abs/2212.08681 (2022) - [i26]Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan:
On Safe and Usable Chatbots for Promoting Voter Participation. CoRR abs/2212.11219 (2022) - 2021
- [j25]Yufeng Huang, Mariana Bernagozzi, Michelle Morales, Sheema Usmani, Biplav Srivastava, Michelle Mullins:
Clarity 2.0: Improved Assessment of Product Competitiveness from Online Content. AI Mag. 42(2): 59-70 (2021) - [j24]Mariana Bernagozzi, Biplav Srivastava, Francesca Rossi, Sheema Usmani:
Gender Bias in Online Language Translators: Visualization, Human Perception, and Bias/Accuracy Tradeoffs. IEEE Internet Comput. 25(5): 53-63 (2021) - [j23]Nadin Kökciyan, Biplav Srivastava, Michael N. Huhns, Munindar P. Singh:
Sociotechnical Perspectives on AI Ethics and Accountability. IEEE Internet Comput. 25(6): 5-6 (2021) - [j22]Biplav Srivastava:
Did chatbots miss their "Apollo Moment"? Potential, gaps, and lessons from using collaboration assistants during COVID-19. Patterns 2(8): 100308 (2021) - [c93]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 - [c92]Mariana Bernagozzi, Biplav Srivastava, Francesca Rossi, Sheema Usmani:
VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services. AAAI 2021: 15994-15996 - [c91]Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava:
Epistemic Planning in a Fast and Slow Setting. TFSOCTAI@AAAI Fall Symposium 2021 - [c90]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 - [c89]Forest Agostinelli, Mihir Mavalankar, Vedant Khandelwal, Hengtao Tang, Dezhi Wu, Barnett Berry, Biplav Srivastava, Amit P. Sheth, Matthew Irvin:
Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. IDC 2021: 610-614 - [c88]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI 2021: 265-269 - [c87]Vignesh Narayanan, Brett W. Robertson, Andrea Hickerson, Biplav Srivastava, Bryant Walker Smith:
Securing social media for seniors from information attacks: Modeling, detecting, intervening, and communicating risks. TPS-ISA 2021: 297-302 - [i25]Biplav Srivastava:
Did Chatbots Miss Their 'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19. CoRR abs/2103.05561 (2021) - [i24]Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth:
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR abs/2105.06398 (2021) - [i23]Francesco Fabiano, Biplav Srivastava, Jonathan Lenchner, Lior Horesh, Francesca Rossi, Marianna Bergamaschi Ganapini:
E-PDDL: A Standardized Way of Defining Epistemic Planning Problems. CoRR abs/2107.08739 (2021) - [i22]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
- [c86]Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava:
Clarity: Data-Driven Automatic Assessment of Product Competitiveness. AAAI 2020: 13204-13211 - [c85]Sheema Usmani, Mariana Bernagozzi, Yufeng Huang, Michelle Morales, Amir Sabet Sarvestani, Biplav Srivastava:
Data-Driven Ranking and Visualization of Products by Competitiveness. AAAI 2020: 13640-13641 - [c84]Biplav Srivastava, Sandeep Singh Sandha, Vaskar Raychoudhury, Sukanya Randhawa, Viral Kapoor, Anmol Agrawal:
Building an Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and Application to Assess Impact of Large Religious Gatherings. PerCom Workshops 2020: 1-6 - [e5]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [i21]Biplav Srivastava, Francesca Rossi, Sheema Usmani, Mariana Bernagozzi:
Personalized Chatbot Trustworthiness Ratings. CoRR abs/2005.10067 (2020) - [i20]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)
2010 – 2019
- 2019
- [j21]Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy:
Planning and visualization for a smart meeting room assistant. AI Commun. 32(1): 91-99 (2019) - [j20]Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni:
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40(3): 67-78 (2019) - [j19]Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava:
Reflections on Successful Research in Artificial Intelligence: An Introduction. AI Mag. 40(4): 3-5 (2019) - [j18]Yolanda Gil, Biplav Srivastava, Ching-Hua Chen, Oshani Seneviratne:
Reflections on Successful Research in Artificial Intelligence: An Interview with Yolanda Gil. AI Mag. 40(4): 6-8 (2019) - [j17]Arvind Gupta, Biplav Srivastava, Daby Sow, Ching-Hua Chen, Oshani Seneviratne:
Reflections on the Ingredients for Success in AI Research: An Interview with Arvind Gupta. AI Mag. 40(4): 24-27 (2019) - [j16]Biplav Srivastava, Francesca Rossi:
Rating AI systems for bias to promote trustable applications. IBM J. Res. Dev. 63(4/5): 5:1-5:9 (2019) - [j15]Jeffrey O. Kephart, Victor C. Dibia, Jason B. Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia:
An Embodied Cognitive Assistant for Visualizing and Analyzing Exoplanet Data. IEEE Internet Comput. 23(2): 31-39 (2019) - [c83]Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava:
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. SafeAI@AAAI 2019 - [c82]Ravi Kiran Raman, Roman Vaculín, Michael Hind, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney:
A Scalable Blockchain Approach for Trusted Computation and Verifiable Simulation in Multi-Party Collaborations. IEEE ICBC 2019: 277-284 - [c81]Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus, Sekou L. Remy, Oliver Bent, Michael Hind, Eleftheria Kyriaki Pissadaki, Biplav Srivastava, Roman Vaculín, Kush R. Varshney, Komminist Weldemariam:
Promoting Distributed Trust in Machine Learning and Computational Simulation. IEEE ICBC 2019: 311-319 - [c80]Pranay Lohia, Kalapriya Kannan, Biplav Srivastava, Sameep Mehta:
Design diagrams as ontological source. ESEC/SIGSOFT FSE 2019: 863-873 - 2018
- [j14]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) - [j13]Amit P. Sheth, Biplav Srivastava, Florian Michahelles:
IoT-Enhanced Human Experience. IEEE Internet Comput. 22(1): 4-7 (2018) - [c79]Jason B. Ellis, Biplav Srivastava, Rachel K. E. Bellamy, Andy Aaron:
Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions. AAAI 2018: 8198-8199 - [c78]Jeffrey O. Kephart, Victor C. Dibia, Jason B. Ellis, Biplav Srivastava, Kartik Talamadupula, Mishal Dholakia:
A Cognitive Assistant for Visualizing and Analyzing Exoplanets. AAAI 2018: 8206-8207 - [c77]Biplav Srivastava:
On Chatbots Exhibiting Goal-Directed Autonomy in Dynamic Environments. AAAI Spring Symposia 2018 - [c76]Biplav Srivastava, Francesca Rossi:
Towards Composable Bias Rating of AI Services. AIES 2018: 284-289 - [c75]Atriya Sen, Selmer Bringsjord, Naveen Sundar Govindarajulu, Paul Mayol, Rikhiya Ghosh, Biplav Srivastava, Kartik Talamadupula:
Toward a Smart City Using Tentacular AI. AmI 2018: 106-112 - [c74]Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy:
Visualizations for an Explainable Planning Agent. IJCAI 2018: 5820-5822 - [c73]Ramashish Gaurav, Biplav Srivastava:
Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model. ITSC 2018: 1221-1226 - [c72]Yunfeng Zhang, Q. Vera Liao, Biplav Srivastava:
Towards an Optimal Dialog Strategy for Information Retrieval Using Both Open- and Close-ended Questions. IUI 2018: 365-369 - [i19]Biplav Srivastava:
On Chatbots Exhibiting Goal-Directed Autonomy in Dynamic Environments. CoRR abs/1803.09789 (2018) - [i18]Ramashish Gaurav, Biplav Srivastava:
Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model. CoRR abs/1806.02825 (2018) - [i17]Biplav Srivastava, Francesca Rossi:
Towards Composable Bias Rating of AI Services. CoRR abs/1808.00089 (2018) - [i16]Biplav Srivastava:
Decision-support for the Masses by Enabling Conversations with Open Data. CoRR abs/1809.06723 (2018) - [i15]Ravi Kiran Raman, Roman Vaculín, Michael Hind, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Nelson Kibichii Bore, Roozbeh Daneshvar, Biplav Srivastava, Kush R. Varshney:
Trusted Multi-Party Computation and Verifiable Simulations: A Scalable Blockchain Approach. CoRR abs/1809.08438 (2018) - [i14]Himadri Mishra, Ramashish Gaurav, Biplav Srivastava:
A Train Status Assistant for Indian Railways. CoRR abs/1809.08509 (2018) - [i13]Selmer Bringsjord, Naveen Sundar Govindarajulu, Atriya Sen, Matthew Peveler, Biplav Srivastava, Kartik Talamadupula:
Tentacular Artificial Intelligence, and the Architecture Thereof, Introduced. CoRR abs/1810.07007 (2018) - [i12]Nelson Kibichii Bore, Ravi Kiran Raman, Isaac M. Markus, Sekou L. Remy, Oliver Bent, Michael Hind, Eleftheria Kyriaki Pissadaki, Biplav Srivastava, Roman Vaculín, Kush R. Varshney, Komminist Weldemariam:
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network. CoRR abs/1810.11126 (2018) - [i11]Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava:
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. CoRR abs/1811.03728 (2018) - 2017
- [j12]Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu:
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38(3): 72-82 (2017) - [c71]Tathagata Chakraborti, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy:
Mr. Jones - Towards a Proactive Smart Room Orchestrator. AAAI Fall Symposia 2017: 258-263 - [i10]Biplav Srivastava:
Tackling Corruption With Agents & ICT: A Vision. CoRR abs/1701.06426 (2017) - [i9]