dblp: FLAIRS Conference 2019 (original) (raw)

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32nd FLAIRS Conference 2019: Sarasota, Florida, USA

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  • Main Track
  • Special Track on Artificial Intelligence for Big Social Data
  • Special Track on Artificial Intelligence for Internet of Things and Fab Labs/Makerspaces
  • Special Track on Autonomous Robots and Agents
  • Special Track on Data Mining
  • Special Track on Recommender Systems
  • Special Track on Uncertain Reasoning

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• 
  Roman Barták, Keith W. Brawner:
  Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, Sarasota, Florida, USA, May 19-22 2019. AAAI Press 2019

Main Track

• 
  Alexandra Clifford, Cassian Corey, John T. Holodnak:
  An Empirical Evaluation of the Effect of Adversarial Labels on Classifier Accuracy Estimation. 2-7
• 
  Takshak Desai, Dan I. Moldovan:
  Towards Predicting Difficulty of Reading Comprehension Questions. 8-13
• 
  Leopold E. Mayer, Kurt D. Krebsbach:
  Front-to-Front Bidirectional Best-First Search Reconsidered. 14-19
• 
  Benjamin Mitchell, John Sheppard:
  Spatially Biased Random Forests. 20-25
• 
  Özgür Lütfü Özçep, Felix Kuhr, Ralf Möller:
  Influence-Based Independence. 26-31
• 
  Parth Patel, Kalyani Selvarajah, Ziad Kobti, Mehdi Kargar:
  Productive and Profitable Cluster Hire. 32-37
• 
  Ramesh Paudel, Peter Harlan, William Eberle:
  Detecting the Onset of a Network Layer DoS Attack with a Graph-Based Approach. 38-43
• 
  Ivan Petrovic, Smiljana Petrovic, Ileana Palesi, Anthony J. Calise:
  Eliminating Sycophants to Improve Authorship Attribution. 44-49
• 
  Bharat Prakash, Mohit Khatwani, Nicholas R. Waytowich, Tinoosh Mohsenin:
  Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention. 50-55
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  Jacob Russell, Eugene Santos:
  Explaining Reward Functions in Markov Decision Processes. 56-61
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  Eugene Santos, Clement Nyanhongo:
  A Contextual-Based Framework for Opinion Formation. 62-67
• 
  Yuan Shi, T. K. Satish Kumar, Craig A. Knoblock:
  Automatic Adaptation to Sensor Replacements. 68-73
• 
  Shirin Shirvani, Manfred Huber:
  Generative NNI Transformation Strategies in Binary Trees Using Reinforcement Learning. 74-79
• 
  Robson D. A. Timoteo, Daniel C. Cunha, Paulo S. G. de Mattos Neto:
  A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems. 80-85
• 
  Josiah Wong, Avelino J. Gonzalez:
  Learning Behavioral Memory Representations from Observation. 86-91
• 
  Linrui Zhang, Dan Moldovan:
  Classification of Semantic Relations between Pairs of Nominals Using Transfer Learning. 92-97
• 
  Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent:
  Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. 98-103
• 
  John Albury, Richard Wales, Annie S. Wu:
  Improving File Compression Using Elementary Cellular Automata. 104-107
• 
  Joseph Allen, Ahmed Moussa, Xudong Liu:
  Human-in-the-Loop Learning of Qualitative Preference Models. 108-111
• 
  Brian Cook, Manfred Huber:
  Balanced k-Nearest Neighbors. 112-115
• 
  Ayan Dutta, Asai Asaithambi, Vladimir Ufimtsev:
  Distributed Coalition Formation with Heterogeneous Agents for Task Allocation. 116-119
• 
  Ramla Ghali, Ange Tato, Roger Nkambou:
  Using EEG Features and Machine Learning to Predict Gifted Children. 120-123
• 
  Xudong Liu, Christian Fritz, Matthew Klenk:
  An Extensible and Personalizable Multi-Modal Trip Planner. 124-127
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  Ahmed Moussa, Xudong Liu:
  Learning Optimal and Near-Optimal Lexicographic Preference Lists. 128-131
• 
  Jesse Roberts, Douglas A. Talbert:
  Biologically Extending the Gen 2 ANN Model. 132-135
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  Kexuan Sun, Krishna Akhil Maddali, Shriraj Salian, T. K. Satish Kumar:
  Top K Hypotheses Selection on a Knowledge Graph. 136-139
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  Sawyer Welden, John A. Doucette:
  Comparing Goodness of Fit of Preference Models. 140-143
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  Yan Zhao, Eugene Santos:
  Emergence in Multi-Agent Systems. 144-148

Special Track on Applied Natural Language Processing

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  Luis Armona, José P. González-Brenes, Ralph Edezhath:
  Beyond Word Embeddings: Dense Representations for Multi-Modal Data. 149-154
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  Cristian Cardellino, Laura Alonso Alemany, Milagro Teruel, Serena Villata, Santiago Marro:
  Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations. 155-160
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  Enis Alonso Berk, Elena Filatova:
  Incendiary News Detection. 161-166
• 
  Zacarias Curi, Alceu de Souza Britto Jr., Emerson Cabrera Paraiso:
  Using Correlation for Labelset Selection in Multi-Label Classification of Users Reactions. 167-172
• 
  Johanna Frau, Milagro Teruel, Laura Alonso Alemany, Serena Villata:
  Different Flavors of Attention Networks for Argument Mining. 173-178
• 
  Dipesh Gautam, Zhiqiang Cai, Vasile Rus:
  Effect of Domain Corpus Size and LSA Vector Dimension: A Study in Assessing Student Generated Short Texts in Virtual Internships Without Participant Data. 179-184
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  Kristy Hollingshead, Bonnie J. Dorr, Adam Dalton, Meg Barton:
  Does Outrage Signal Cyber Attacks? Predicting "Bad Behavior" from Sentiment in Online Content. 185-190
• 
  Lubomir Ivanov:
  Learning Patterns of Assonance for Authorship Attribution of Historical Texts. 191-196
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  Nabin Maharjan, Vasile Rus:
  Towards Concept Map Based Free Student Answer Assessment. 197-202
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  Diana Nicoleta Popa, Julien Perez, James Henderson, Éric Gaussier:
  Implicit Discourse Relation Classification with Syntax-Aware Contextualized Word Representations. 203-208
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  Roberta Caroline Rodrigues Silva, Alcione de Paiva Oliveira, Alexandra Moreira:
  Semantic Labeling of English Texts with Ontological Categories Employing Recurrent Networks. 209-214
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  Mahsa Shafaei, Adrián Pastor López-Monroy, Thamar Solorio:
  Exploiting Textual, Visual, and Product Features for Predicting the Likeability of Movies. 215-220
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  Gregory Moro Puppi Wanderley, Emerson Cabrera Paraiso:
  Using Linguistic Context to Learn Folksonomies from Task-Oriented Dialogues. 221-226
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  Mingzhi Yu, Diane J. Litman, Susannah Paletz:
  Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics and the Perception of Team Social Outcomes. 227-232
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  Ashli Fain, Reva Freedman:
  How Animacy and Information Status Determine Word Order in Translation of the Passive Voice. 233-236
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  John Lee:
  An Emotion Detection System for Cantonese. 237-240
• 
  Roelant Ossewaarde, Roel Jonkers, Fedor Jalvingh, Roelien Bastiaanse:
  Classification of Spontaneous Speech of Individuals with Dementia Based on Automatic Prosody Analysis Using Support Vector Machines (SVM). 241-244
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  Zeinab Sedighi, Hossein Ebrahimpour-Komleh, Ayoub Bagheri, Leila Kosseim:
  Opinion Spam Detection with Attention-Based Neural Networks. 245-249

Special Track on Artificial Intelligence for Big Social Data

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  Gabriel Castaneda, Paul Morris, Joseph D. Prusa, Taghi M. Khoshgoftaar:
  Investigation of Maxout Activations on Convolutional Neural Networks for Big Data Text Sentiment Analysis. 250-256

Special Track on Artificial Intelligence in Games, Serious Games, and Multimedia

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  Matthew Alvarez, Rebeca E. Amaya, Kyle A. Benko, Jordan T. Martin, Rainer Knauf, Klaus P. Jantke, Avelino J. Gonzalez:
  Hello, Narratives: Character Development in Automated Narrative Generation. 257-263
• 
  Hamdi Ben Abdessalem, Maher Chaouachi, Marwa Boukadida, Claude Frasson:
  How Do Players' Eye Movements Relate to Their Excitement in a VR Adaptive Game? 264-269
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  Edward T. Garcia, Stephen G. Ware, Lewis J. Baker:
  Measuring Presence and Performance in a Virtual Reality Police Use of Force Training Simulation Prototype. 270-275
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  Matheus Prado Prandini Faria, Rita Maria da Silva Julia, Lidia Bononi Paiva Tomaz:
  A Deep Reinforcement Learn-Based FIFA Agent with Naive State Representations and Portable Connection Interfaces. 276-281

Special Track on Artificial Intelligence for Internet of Things and Fab Labs/Makerspaces

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  Arianit Maraj, Timothy Atkinson, Marius-Calin Silaghi:
  Learning Strategies for Resisting Power Attacks on Wi-Fi Direct Group Formation. 282-286

Special Track on Artificial Intelligence in Healthcare Informatics

• 
  Farzana Ahamed Bhuiyan, Md Bulbul Sharif, Paul Joshua Tinker, William Eberle, Douglas A. Talbert, Sheikh Khaled Ghafoor, Lewis J. Frey:
  Gene Selection and Clustering of Breast Cancer Data. 287-292
• 
  Anna Farzindar, Anirudh Kashi:
  Multi-Task Survival Analysis of Liver Transplantation Using Deep Learning. 293-298
• 
  Nathan Martindale, Gerald C. Gannod, Katherine M. Abbott, Kimberly Van Haitsma:
  A Comparison of Three Recommender Strategies for Facilitating Person-Centered Care in Nursing Homes. 299-304
• 
  Phillip Wallis, Padideh Danaee:
  Learning Semantic Relationships from Medical Codes. 305-310
• 
  Annie Wu, Xinliang Liu, Reamonn Norat:
  A Genetic Algorithm Approach to Predictive Modeling of Medicare Payments to Physical Therapists. 311-317

Special Track on Autonomous Robots and Agents

• 
  Chad Peters, Terrence C. Stewart, Robert L. West, Babak Esfandiari:
  Dynamic Action Selection in OpenAI Using Spiking Neural Networks. 318-323
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  Ayan Dutta, Amitabh Bhattacharya, O. Patrick Kreidl, Anirban Ghosh, Prithviraj Dasgupta:
  Multi-Robot Informative Path Planning in Unknown Environments Through Continuous Region Partitioning. 324-328

Special Track on Case-Based Reasoning

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  Ralph Bergmann, Mirko Lenz, Stefan Ollinger, Maximilian Pfister:
  Similarity Measures for Case-Based Retrieval of Natural Language Argument Graphs in Argumentation Machines. 329-334
• 
  Viktor Eisenstadt, Klaus-Dieter Althoff:
  What Is the Next Step? Supporting Architectural Room Configuration Process with Case-Based Reasoning and Recurrent Neural Networks. 335-340
• 
  Devi Ganesan, Sutanu Chakraborti:
  A Reachability-Based Complexity Measure for Case-Based Reasoners. 341-346
• 
  Luigi Portinale:
  Exploiting Markov Random Fields to Enhance Retrieval in Case-Based Reasoning. 347-352
• 
  Xiaomeng Ye:
  C2C Trace Retrieval: Fast Classification Using Class-to-Class Weighting. 353-358
• 
  Amar Jaiswal, Kerstin Bach, Ingebrigt Meisingset, Ottar Vasseljen:
  Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - a Case-Based Reasoning Approach. 359-363

Special Track on Data Mining

• 
  Cynthia Freeman, Jonathan Merriman, Ian Beaver, Abdullah Mueen:
  Experimental Comparison of Online Anomaly Detection Algorithms. 364-369
• 
  Mohamed Zakaria Kurdi:
  Content-Dependent Versus Content-Independent Features for Gender and Age Range Identification in Different Types of Texts. 370-375
• 
  Emma Lurie, Eni Mustafaraj:
  Opening Up the Black Box: Auditing Google's Top Stories Algorithm. 376-381
• 
  Sirisha Velampalli, Lenin Mookiah, William Eberle:
  Discovering Suspicious Patterns Using a Graph Based Approach. 382-386
• 
  Chad Calvert, Clifford Kemp, Taghi M. Khoshgoftaar, Maryam M. Najafabadi:
  Detecting Slow HTTP POST DoS Attacks Using Netflow Features. 387-390
• 
  Tamasha Malepathirana, Rashindrie Perera, Yasasi Abeysinghe, Yumna Albar, Uthayasanker Thayasivam:
  Adaptation of Multivariate Concept to Multi-Way Agglomerative Clustering for Hierarchical Aspect Aggregation. 391-395

Special Track on Intelligent Learning Technologies

• 
  Asma Ben Khedher, Imène Jraidi, Claude Frasson:
  Predicting Learners' Performance Using EEG and Eye Tracking Features. 396-401
• 
  Andrew J. Hampton, Vasile Rus, Frank Andrasik, Benjamin Nye, Art Graesser:
  A Conversational Intelligent Agent for Career Guidance and Counseling. 402-407
• 
  Blake Glueck, Chris Alvin:
  Synthesis of Limit Problems for Single-Variable Calculus. 408-412

Special Track on Recommender Systems

• 
  Himan Abdollahpouri, Robin Burke, Bamshad Mobasher:
  Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. 413-418
• 
  Felipe Soares Da Costa, Peter Dolog:
  Convolutional Adversarial Latent Factor Model for Recommender System. 419-424
• 
  Farzad Eskandanian, Bamshad Mobasher:
  Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. 425-430
• 
  Behnam Rahdari, Chun-Hua Tsai, Peter Brusilovsky:
  Expanding Controllability of Hybrid Recommender Systems: From Positive to Negative Relevance. 431-435

Special Track on Semantic, Logics, Information Extraction and AI

• 
  Ismaïl Biskri, Mohamed Hassani:
  Flexible Approach for Computer-Assisted Reading and Analysis of Texts. 436-441
• 
  Walid S. Saba:
  On the Winograd Schema: Situating Language Understanding in the Data-Information-Knowledge Continuum. 442-447
• 
  Zahra Sarabi, Eduardo Blanco:
  Identifying the Focus of Negation Using Discourse Structure. 448-452

Special Track on Uncertain Reasoning

• 
  Alessandro Antonucci:
  Reliable Discretization of Deterministic Equations in Bayesian Networks. 453-457
• 
  Christoph Beierle, Steven Kutsch, Henning Breuers:
  On Rational Monotony and Weak Rational Monotony for Inference Relations Induced by Sets of Minimal C-Representations. 458-463
• 
  Marcel Gehrke, Tanya Braun, Ralf Möller:
  Relational Forward Backward Algorithm for Multiple Queries. 464-469
• 
  Gabriele Kern-Isberner, Tanja Bock, Christoph Beierle, Kai Sauerwald:
  Axiomatic Evaluation of Epistemic Forgetting Operators. 470-475
• 
  Safia Laaziz, Younes Zeboudj, Salem Benferhat, Faiza Haned:
  Penalty Logic-Based Representation of C-Revision. 476-481
• 
  Lalintha G. Polpitiya, Kamal Premaratne, Manohar N. Murthi:
  Linear Time and Space Algorithm for Computing all the Fagin-Halpern Conditional Beliefs Generated From Consonant Belief Functions. 482-487
• 
  Jonathan Serrano-Pérez, Luis Enrique Sucar:
  Hierarchical Classification With Bayesian Networks and Chained Classifiers. 488-493
• 
  Marco Wilhelm, Gabriele Kern-Isberner, Marc Finthammer, Christoph Beierle:
  Integrating Typed Model Counting into First-Order Maximum Entropy Computations and the Connection to Markov Logic Networks. 494-499
• 
  Cory J. Butz, André Lobo Teixeira, André E. dos Santos, Jhonatan de S. Oliveira:
  On the Tree Structure of Deep Convolutional Sum-Product Networks. 500-503
• 
  Melanie Munch, Juliette Dibie, Pierre-Henri Wuillemin, Cristina E. Manfredotti:
  Towards Interactive Causal Relation Discovery Driven by an Ontology. 504-508

Poster Abstracts

• 
  Roman Barták, Keith Brawner:
  FLAIRS-32 Poster Abstracts. 509-

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