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ORCID14th ICAART 2022 - Volume 3
- Ana Paula Rocha, Luc Steels, H. Jaap van den Herik:
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, ICAART 2022, Volume 3, Online Streaming, February 3-5, 2022. SCITEPRESS 2022, ISBN 978-989-758-547-0
Invited Speakers
- Michael Beetz:
Knowledge Representation & Reasoning in CRAM: A Cognitive Architecture for Robot Agents Accomplishing Everyday Manipulation Tasks. ICAART (1) 2022: 5 - Jan R. Seyler:
Bio-Inspired AI for Autonomous Systems. ICAART (1) 2022: 7 - Catherine Pelachaud:
Interacting with Socially Interactive Agents. ICAART (1) 2022: 9
Artificial Intelligence
- Constantin Patsch, Marsil Zakour, Rahul Gopal Chaudhari:
Automatic Recognition of Human Activities Combining Model-based AI and Machine Learning. 15-22 - Tobias Müller, Kyrill Schmid, Daniëlle Schuman
, Thomas Gabor, Markus Friedrich, Marc Geitz:
Solving Large Steiner Tree Problems in Graphs for Cost-efficient Fiber-To-The-Home Network Expansion. 23-32 - Rohan Kumar Gupta, Dakshina Ranjan Kisku:
ImpressionNet: A Multi-view Approach to Predict Socio-facial Impressions. 33-38 - Gergely Pap, István Megyeri:
Translational Robustness of Neural Networks Trained for Transcription Factor Binding Site Classification. 39-45 - Maxime Prieur, Guillaume Gadek, Bruno Grilhères:
Duplicate Detection in a Knowledge Base with PIKA. 46-54 - Adil Ibrahim, Nicholas K. Taylor:
Negative Selection in Classification using DBLOSUM Matrices as Affinity Function. 55-62 - Norihiro Kamide:
Reasoning with Inconsistency-tolerant Fuzzy Description Logics. 63-74 - Jihen Fourati, Mohamed Othmani, Hela Ltifi:
A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification. 75-82 - Ramisetty Kavya, J. Jabez Christopher, Subhrakanta Panda:
ScaPMI: Scaling Parameter for Metric Importance. 83-90 - Binh Dang, Tran-Thai Dang, Le-Minh Nguyen:
SubTST: A Combination of Sub-word Latent Topics and Sentence Transformer for Semantic Similarity Detection. 91-97 - Dimitrios Lagamtzis, Fabian Schmidt, Jan R. Seyler, Thao Dang:
CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace. 98-105 - Yonas Demeke Woldemariam:
An Algorithm for Estimating Answerers' Performance and Improving Answer Quality Predictions in QA Forums. 106-113 - Adriano A. M. de Resende, Pedro H. A. D. de Melo, Jefferson R. Souza, Renan G. Cattelan, Rodrigo Sanches Miani:
Traffic Classification of Home Network Devices using Supervised Learning. 114-120 - Soofiyan Atar, Simranjeet Singh, Jaison Jose, Kavi Arya:
P2Ag: Perception Pipeline in Agriculture for Robotic Harvesting of Tomatoes. 121-129 - Soofiyan Atar, Simranjeet Singh, Srijan Agrawal, Ravikumar Chaurasia, Shreyas Sule, Sravya Gadamsetty, Aditya Panwar, Amit Kumar, Kavi Arya:
LCPP: Low Computational Processing Pipeline for Delivery Robots. 130-138 - F. X. Erick, Shrutika S. Sawant, Stephan Göb, Nina Holzer, Elmar W. Lang, Theresa Götz:
A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis. 139-145 - Grace Feehan, Shaheen Fatima:
Augmenting Reinforcement Learning to Enhance Cooperation in the Iterated Prisoner's Dilemma. 146-157 - Tahar-Rafik Boudiba, Taoufiq Dkaki:
Exploring Contextualized Tag-based Embeddings for Neural Collaborative Filtering. 158-166 - Piotr Artiemjew, Slawomir Konrad Tadeja:
Using ConvNet for Classification Task in Parallel Coordinates Visualization of Topologically Arranged Attribute Values. 167-171 - Hiroshi Honda, Masafumi Hagiwara:
Deep-Learning-based Fuzzy Symbolic Processing with Agents Capable of Knowledge Communication. 172-179 - Tung Le, Khoa Pho, Thong Bui, Huy Tien Nguyen, Minh Le Nguyen:
Object-less Vision-language Model on Visual Question Classification for Blind People. 180-187 - Zachary S. Hutchinson:
Spike-time Dependent Feature Clustering. 188-194 - Meriem Touat, Belaid Benhamou, Fatima Benbouzid-Si Tayeb:
A Constraint Programming Model for the Scheduling Problem with Flexible Maintenance under Human Resource Constraints. ICAART (3) 2022: 195-202 - Mara Deac-Petrusel:
A Lexicon-based Collaborative Filtering Approach for Recommendation Systems. 203-210 - Ali Asghar Rahmani Hosseinabadi, Mehdi Sadeghilalimi, Morteza Babazadeh Shareh, Malek Mouhoub, Samira Sadaoui:
Whale Optimization-based Prediction for Medical Diagnostic. 211-217 - Nikica Peric, Naomi-Frida Munitic, Ivana Basljan, Vinko Lesic:
Prediction of Store Demands by Decision Trees and Recurrent Neural Networks Ensemble with Transfer Learning. 218-225 - Hassan Alkhiri, Malek Mouhoub:
Constrained CP-nets Similarity. 226-233 - Wael Korani, Malek Mouhoub:
Discrete Mother Tree Optimization and Swarm Intelligence for Constraint Satisfaction Problems. 234-241 - Norihiro Kamide, Seidai Kanbe:
Falsification-aware Semantics for CTL and Its Inconsistency-tolerant Subsystem: Towards Falsification-aware Model Checking. 242-252 - Radoslaw Miernik, Jakub Kowalski:
Evolving Evaluation Functions for Collectible Card Game AI. 253-260 - Ayman Yafoz, Farial Syed, Malek Mouhoub, Lisa Fan:
Analysing the Sentiments in Online Reviews with Special Focus on Automobile Market. 261-267 - Armin Sadreddin, Samira Sadaoui:
Incremental Feature Learning for Fraud Data Stream. 268-275 - Avi Bleiweiss:
Dynamically Generated Question Answering Evidence using Efficient Context-preserving Subdivision. 276-284 - Horea-Adrian Grebla, Catalin V. Rusu, Adrian Sterca, Darius Bufnea, Virginia Niculescu:
Recommendation System for Student Academic Progress. 285-292 - Andreea Coaja, Catalin V. Rusu:
Quantifying Student Attention using Convolutional Neural Networks. 293-299 - Alexander K. Seewald, Alexander Pfeiffer:
Magic Mirror: I and My Avatar - A Versatile Augmented Reality Installation Controlled by Hand Gestures. 300-307 - Steffen Illium, Thore Schillman, Robert Müller, Thomas Gabor, Claudia Linnhoff-Popien:
Empirical Analysis of Limits for Memory Distance in Recurrent Neural Networks. 308-315 - Basile Tousside, Lukas Friedrichsen, Jörg Frochte:
Towards Robust Continual Learning using an Enhanced Tree-CNN. 316-325 - N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles:
Efficient Removal of Weak Associations in Consensus Clustering. 326-335 - Kurt Dylan Buttigieg, Mark Anthony Caruana, David Suda:
Identifying Problematic Gamblers using Multiclass and Two-stage Binary Neural Network Approaches. 336-342 - Felizia Quetscher, Christof Kaufmann, Jörg Frochte:
Investigation of Capsule Networks Regarding their Potential of Explainability and Image Rankings. 343-351 - Tolgahan Cakaloglu, Xiaowei Xu, Roshith Raghavan:
EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval. 352-360 - Owais Hamid, Shruti Chandra, Kerstin Dautenhahn, Chrystopher L. Nehaniv:
Social Transmission of Information through Virtual Robotic Agents. 361-372 - Tatsuro Ide, Hiroshi Hosobe:
Classification of Video Viewing Task Types and Recommendation of Videos. 373-380 - Masayuki Kobayashi, Shinichi Shirakawa, Tomoharu Nagao:
Auxiliary Data Selection in Percolative Learning Method for Improving Neural Network Performance. 381-387 - Marek Medved, Radoslav Sabol, Ales Horák:
Comparing RNN and Transformer Context Representations in the Czech Answer Selection Task. 388-394 - Yusuf Arslan, Bertrand Lebichot, Kevin Allix, Lisa Veiber, Clément Lefebvre, Andrey Boytsov, Anne Goujon, Tegawendé F. Bissyandé, Jacques Klein:
On the Suitability of SHAP Explanations for Refining Classifications. 395-402 - Md Siddiqur Rahman, Laurent Lapasset, Josiane Mothe:
Multi-label Classification of Aircraft Heading Changes using Neural Network to Resolve Conflicts. 403-411 - Umesha Sandamini, Kusal Rathnakumara, Pasan Pramuditha, Madushani Dissanayake, Disni Sriyaratna, Hansi De Silva, Dharshana Kasthurirathna:
A Singlish Supported Post Recommendation Approach for Social Media. 412-419 - Meghana Kshirsagar, Tanishq More, Rutuja Lahoti, Shreya Adgaonkar, Shruti Jain, Conor Ryan:
Rethinking Traffic Management with Congestion Pricing and Vehicular Routing for Sustainable and Clean Transport. 420-427 - Gianluca Guglielmo, Travis J. Wiltshire, Max M. Louwerse:
Training Machine Learning Models to Detect Group Differences in Neurophysiological Data using Recurrence Quantification Analysis based Features. 428-435 - Milad Khaki, Nasim Mortazavi:
Water Consumption Demand Pattern Analysis using Uncertain Smart Water Meter Data. 436-443 - Emery A. Neufeld:
Reinforcement Learning Guided by Provable Normative Compliance. 444-453 - Takahiro Morita, Hiroshi Hosobe:
Upper Confident Bound Fuzzy Q-learning and Its Application to a Video Game. 454-461 - Fabio Grassiotto, Esther Luna Colombini, Alexandre da Silva Simões, Ricardo R. Gudwin, Paula Dornhofer Paro Costa:
CogToM-CST: An implementation of the Theory of Mind for the Cognitive Systems Toolkit. 462-469 - Yaqin Wang, Facundo Esquivel Fagiani, Kar Ee Ho, Eric T. Matson:
A Feature Engineering Focused System for Acoustic UAV Payload Detection. 470-475 - Tomoya Matsubara, Ahmed Moustafa:
CycleGAN-based Approach for Masked Face Classification. 476-483 - Isidoros Perikos, Loizos Michael:
A Survey on Tie Strength Estimation Methods in Online Social Networks. 484-491 - Jorge Fernandez, Dominique Longin, Emiliano Lorini, Frédéric Maris:
An Implemented System for Cognitive Planning. 492-499 - David Fiedler, Michal Cáp, Jan Nykl, Pavol Zilecký:
Map Matching Algorithm for Large-scale Datasets. 500-508 - BumKyu Choi, Jean Seong Bjorn Choe, Jong-Kook Kim:
Micro Junction Agent: A Scalable Multi-agent Reinforcement Learning Method for Traffic Control. 509-515 - Erich Christian Teppan:
Types of Flexible Job Shop Scheduling: A Constraint Programming Experiment. 516-523 - Ha-Thanh Nguyen, Le Minh Nguyen:
Logical Structure-based Pretrained Models for Legal Text Processing. 524-531 - Long Ma, Connor Y. H. Wu:
The Impact of COVID-19 on Crime: A Study from the Spatial-temporal Perspective in the Montgomery County, AL. 532-539 - Rafael Valencia-Ramos, Luis Zhinin-Vera, Gissela E. Pilliza, Oscar Chang:
An Asymetric-key Cryptosystem based on Artificial Neural Network. 540-547 - Hiroki Matsuoka, Ahmed Moustafa:
Multi-task Deep Reinforcement Learning for IoT Service Selection. 548-554 - Caterina Moruzzi:
Climbing the Ladder: How Agents Reach Counterfactual Thinking. 555-560 - Thiago Dong Chen, Gabriel Bianchin de Oliveira, Zanoni Dias:
Ensemble of Patches for COVID-19 X-Ray Image Classification. 561-567 - Peter Khallouf, Christine Markarian:
Leveraging Event Marketing Performance using AI in Facial Recognition. 568-573 - Gabriel Bianchin de Oliveira, Lucas David, Rafael Padilha, Ana Paula da Silva, Francine de Paula, Lucas Infante, Lucio Jorge, Patricia Xavier, Zanoni Dias:
Bias Assessment in Medical Imaging Analysis: A Case Study on Retinal OCT Image Classification. 574-580 - Tobias Müller, Nadine Gaertner, Nemrude Verzano, Florian Matthes:
Barriers to the Practical Adoption of Federated Machine Learning in Cross-company Collaborations. 581-588 - Kishor Datta Gupta, Akib Sadmanee, Nafiz Sadman:
A Safer Approach to Build Recommendation Systems on Unidentifiable Data. 589-596 - Anwer Slimi, Henri Nicolas, Mounir Zrigui:
Detection of Emotion Categories' Change in Speeches. 597-604 - Yu Iwasaki, Koji Hasebe:
A Framework for Generating Playstyles of Game AI with Clustering of Play Logs. 605-612 - Hirokazu Shimauchi:
An Activation Function with Probabilistic Beltrami Coefficient for Deep Learning. 613-620 - Abhijith Sharma, Apurva Narayan:
Soft Adversarial Training Can Retain Natural Accuracy. 621-628 - Nuno Micael Ferreira, José M. Torres, Pedro Miguel Sobral, Rui S. Moreira, Christophe Soares:
Classification of Table Tennis Strokes in Wearable Device using Deep Learning. 629-636 - Florina Livia Covaci, Robert Andrei Buchmann, Radu Dragos:
Towards a Knowledge Graph-specific Definition of Digital Transformation: An Account Networking View for Auditing. 637-644 - Arghya Datta, S. Joshua Swamidass:
Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations. 645-654 - Binay Gupta, Anirban Chatterjee, Subhadip Paul, Harika Matha, Lalitdutt Parsai, Kunal Banerjee, Vijay Agneeswaran:
Look before You Leap! Designing a Human-centered AI System for Change Risk Assessment. 655-662 - Alexander K. Seewald:
Evaluating Two Ways for Mobile Robot Obstacle Avoidance with Stereo Cameras: Stereo View Algorithms and End-to-End Trained Disparity-sensitive Networks. 663-672 - Abdelrahman Diab, Mohamed Sabry, Amr El Mougy:
Comparing Monocular Camera Depth Estimation Models for Real-time Applications. 673-680 - Alexander Sakharov:
A Logical Characterization of Evaluable Knowledge Bases. 681-688 - Filippos Gouidis, Alexandros Vassiliades, Nena Basina, Theodore Patkos:
Towards a Formal Framework for Social Robots with Theory of Mind. 689-696 - Stefanie Urchs, Akshaya Muralidharan, Florian Matthes:
How to Simplify Law Automatically? A Study on South Korean Legislation and Its Simplified Version. 697-704 - Andreas Brännström, Timotheus Kampik, Ramon Ruiz-Dolz, Joaquín Taverner:
A Formal Framework for Designing Boundedly Rational Agents. 705-714 - Frantisek Zboril Jr., Frantisek Vidensky, Radek Kocí, Frantisek Vítezslav Zboril:
Late Bindings in AgentSpeak(L). 715-724 - Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski:
On Equivalence between Linear-chain Conditional Random Fields and Hidden Markov Chains. 725-728 - Ilio Boone, Gavin Rens:
Learning Optimal Behavior in Environments with Non-stationary Observations. 729-736 - Hassiba Laifa, Raoudha Khchérif, Henda Ben Ghézala:
Predicting Trains Delays using a Two-level Machine Learning Approach. 737-744 - Anca-Elena Iordan:
Usage of Stacked Long Short-Term Memory for Recognition of 3D Analytic Geometry Elements. 745-752 - Aaron Hunter, Konstantin Boyarinov:
BRL: A Toolkit for Learning How an Agent Performs Belief Revision. 753-756 - Willy Ugarte:
Vaccination Planning in Peru using Constraint Programming. 757-764 - Luísa Macedo, Luís Miguel Matos, Paulo Cortez, André Domingues, Guilherme Moreira, André Luiz Pilastri:
A Machine Learning Approach for Spare Parts Lifetime Estimation. 765-772 - Kevin McAreavey, Kim Bauters, Weiru Liu:
A Smart Home Testbed for Evaluating XAI with Non-experts. 773-784 - Ziad Elmassik, Mohamed Sabry, Amr El Mougy:
Understanding the Scene: Identifying the Proper Sensor Mix in Different Weather Conditions. 785-792 - Nuno Andrade, Tiago Ribeiro, Joana Coelho, Gil Lopes, A. Fernando Ribeiro:
Combining YOLO and Deep Reinforcement Learning for Autonomous Driving in Public Roadworks Scenarios. 793-800 - Nicolas Schaaf, Hans Aoyang Zhou, Chrismarie Enslin, Florian Brillowski, Daniel Lütticke:
Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks. 801-809 - Miguel Milheiro Ferreira, Henrique Lopes Cardoso, Luís Paulo Reis, Telmo Barros, João Pedro Machado:
Disruption Management of ASAE's Inspection Routes. 810-817 - Rafael Marques, Tiago Ribeiro, Gil Lopes, A. Fernando Ribeiro:
YOLOv3: Traffic Signs & Lights Detection and Recognition for Autonomous Driving. 818-826 - Conor Stephens, Chris Exton:
Balancing Multiplayer Games across Player Skill Levels using Deep Reinforcement Learning. 827-833 - Haneen A. Alharbi, Igor Barsukov, Rudi Grosman, Alexei Lisitsa:
Molecular Fragments from Incomplete, Real-life NMR Data: Framework for Spectra Analysis with Constraint Solvers. 834-841 - Ramoni O. Lasisi, Connor Philips, Nicholas Hartnett:
ALP4AI: Agent-based Learning Platform for Introductory Artificial Intelligence. 842-850 - Bilel Elayeb, Mohamed Firas Ettih, Raja Ayed:
Experimenting Machine-Learning Algorithms for Morphological Disambiguation of Arabic Texts. 851-862 - Yang Song, Satoshi Tojo:
A Many-valued Semantics for Multi-agent System. 863-870 - Michaela Urbanovská, Antonín Komenda:
Grid Representation in Neural Networks for Automated Planning. 871-880 - Nicos Isaak:
The Winograd Schema Challenge: Are You Sure That We Are on the Right Track? 881-888 - Or Aviv Yarom, Jannis Fritz, Florian Lange, Xiaobo Liu-Henke:
Systematic Model-based Design of a Reinforcement Learning-based Neural Adaptive Cruise Control System. 889-896 - Matteo Cristani, Francesco Olivieri, Tewabe Chekole Workneh, Luca Pasetto, Claudio Tomazzoli:
Classification Rules Explain Machine Learning. 897-904 - Jenan Moosa, Wasan Shakr Awad, Tatiana Kalganova:
Attributed-based Label Propagation Method for Balanced Modularity and Homogeneity Community Detection. 905-912 - Sreenivasan Mohandas, Naresh Manwani, Durga Prasad Dhulipudi:
Momentum Iterative Gradient Sign Method Outperforms PGD Attacks. 913-916 - Abishai Ebenezer M., Arti Arya:
An Atypical Metaheuristic Approach to Recognize an Optimal Architecture of a Neural Network. 917-925 - Hasan Hameed Hasan Ahmed Abdulla, Wasan Shakir Awad:
Text Classification of English News Articles using Graph Mining Techniques. 926-937 - Avi Bleiweiss:
Issue Area Discovery from Legal Opinion Summaries using Neural Text Processing. 938-944 - Javier Martín Arista:
Old English Universal Dependencies: Categories, Functions and Specific Fields. 945-951 - Ashley Megan van der Westhuizen, George Markou, Nikolaos Bakas:
Development of a New Fundamental Period Formula for Steel Structures Considering the Soil-structure Interaction with the Use of Machine Learning Algorithms. 952-957 - Elvis M. Ababu, George Markou, Nikolaos Bakas:
Using Machine Learning and Finite Element Modelling to Develop a Formula to Determine the Deflection of Horizontally Curved Steel I-beams. 958-963 - Simon Reichhuber, Sven Tomforde:
Evolving Gaussian Mixture Models for Classification. 964-974 - Shweta Tiwari, Gavin Bell, Helge Langseth, Heri Ramampiaro:
Detection of Potential Manipulations in Electricity Market using Machine Learning Approaches. 975-983 - Jaroslaw Szkola, Piotr Artiemjew:
Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems. 984-989 - Abdullah Khan, Alexei Lisitsa, Alexei Vernitski:
Training AI to Recognize Realizable Gauss Diagrams: The Same Instances Confound AI and Human Mathematicians. 990-995 - Joanna Isabelle Olszewska:
Snakes in Trees: An Explainable Artificial Intelligence Approach for Automatic Object Detection and Recognition. 996-1002 - Rania Khalsi, Mallek Mziou-Sallami, Imen Smati, Faouzi Ghorbel:
ContourVerifier: A Novel System for the Robustness Evaluation of Deep Contour Classifiers. 1003-1010
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