A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles. - Thomas Manzini; Simon Ellis; James A. Hendler (J. Artif. Gen. Intell., 2015)

How Would You Say It? Eliciting Lexically Diverse Dialogue for Supervised Semantic Parsing. - Abhilasha Ravichander; Thomas Manzini; Matthias Grabmair; Graham Neubig; Jonathan Francis; Eric Nyberg (SIGDIAL Conference, 2017)

Language Informed Modeling of Code-Switched Text. - Khyathi Raghavi Chandu; Thomas Manzini; Sumeet Singh; Alan W. Black (CodeSwitch@ACL, 2018)

Towards Improving Intelligibility of Black-Box Speech Synthesizers in Noise. - Thomas Manzini; Alan W. Black (SPECOM, 2018)

Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis. - Hai Pham; Thomas Manzini; Paul Pu Liang; Barnabás Póczos (CoRR, 2018)

Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. - Hai Pham; Paul Pu Liang; Thomas Manzini; Louis-Philippe Morency; Barnabás Póczos (AAAI, 2019)

Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. - Thomas Manzini; Yao Chong Lim; Alan W. Black; Yulia Tsvetkov (NAACL-HLT (1), 2019)

Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation. - Liqun Shao; Sahitya Mantravadi; Tom Manzini; Alejandro Buendia; Manon Knoertzer; Soundar Srinivasan; Chris Quirk (CoRR, 2020)

Path Coverage Optimization for USV with Side Scan Sonar for Victim Recovery. - Trey Smith; Sounak Mukhopadhyay; Robin R. Murphy; Thomas Manzini; Patricia Itzel Rodriguez (SSRR, 2022)

Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad. - Thomas Manzini; Robin R. Murphy (ICCV (Workshops), 2023)

Wireless Network Demands of Data Products from Small Uncrewed Aerial Systems at Hurricane Ian. - Thomas Manzini; Robin R. Murphy; David F. Merrick; Justin Adams (IROS, 2023)

Quantitative Data Analysis: CRASAR Small Unmanned Aerial Systems at Hurricane Ian. - Thomas Manzini; Robin R. Murphy; David F. Merrick (SSRR, 2023)

Improving Drone Imagery For Computer Vision/Machine Learning in Wilderness Search and Rescue. - Robin R. Murphy; Thomas Manzini (SSRR, 2023)

Differentiable Boustrophedon Path Plans. - Thomas Manzini; Robin R. Murphy (CoRR, 2023)

Harnessing AI and robotics in humanitarian assistance and disaster response. - Thomas Manzini; Robin R. Murphy; Eric T. Heim; Caleb Robinson; Guido Zarrella; Ritwik Gupta (Sci. Robotics, 2023)

Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data. - Thomas Manzini; Priyankari Perali; Robin R. Murphy (HRI (Companion), 2024)

Differentiable Boustrophedon Paths That Enable Optimization Via Gradient Descent. - Thomas Manzini; Robin R. Murphy (ICRA, 2024)

Analysis of Human Errors in Small Uncrewed Aerial Systems Used During Hurricane Ian. - Robin R. Murphy; Thomas Manzini; S. Camille Peres (SSRR, 2024)

Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters. - Thomas Manzini; Priyankari Perali; Raisa Karnik; Mihir Godbole; Hasnat Abdullah; Robin R. Murphy (CoRR, 2024)

CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery. - Thomas Manzini; Priyankari Perali; Raisa Karnik; Robin R. Murphy (CoRR, 2024)

Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery. - Thomas Manzini; Priyankari Perali; Jayesh Tripathi; Robin R. Murphy (FAccT, 2025)

Challenges and Research Directions from the Operational Use of a Machine Learning Damage Assessment System via Small Uncrewed Aerial Systems at Hurricanes Debby and Helene. - Thomas Manzini; Priyankari Perali; Robin R. Murphy; David F. Merrick (CoRR, 2025)