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ORCID26th ISMIS 2022: Cosenza, Italy
- Michelangelo Ceci
, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ras:
Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings. Lecture Notes in Computer Science 13515, Springer 2022, ISBN 978-3-031-16563-4
Social Media and Recommendation
- Robert H. Frye, David C. Wilson:
Granular Emotion Detection in Social Media Using Multi-Discipline Ensembles. 3-12 - Muhamet Kastrati, Marenglen Biba, Ali Shariq Imran, Zenun Kastrati:
Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models. 13-23 - Aditi Seetha, Satyendra Singh Chouhan, Sanskar Soni, Dev Mehta, Vinush Vishwanath:
Disruptive Event Identification in Online Social Network. 24-34 - Sadia Kamal, Jade Gullic, Arunkumar Bagavathi:
Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias. 35-43 - Asma Mekki, Inès Zribi, Mariem Ellouze, Lamia Hadrich Belguith:
Sarcasm Detection in Tunisian Social Media Comments: Case of COVID-19. 44-51 - Daniele Ciarlo, Luigi Portinale:
Multimodal Deep Learning and Fast Retrieval for Recommendation. 52-60
Natural Language Processing
- Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d'Hôtel, Mathieu Roche, Maguelonne Teisseire:
Mining News Articles Dealing with Food Security. 63-73 - Graziella De Martino, Gianvito Pio:
Identification of Paragraph Regularities in Legal Judgements Through Clustering and Textual Embedding. 74-84 - Sarsabene Hammi, Souha Hammami Mezghani, Lamia Hadrich Belguith:
Aspect Term Extraction Improvement Based on a Hybrid Method. 85-94 - Nasim Sobhani, Sarah Jane Delany:
Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task. 95-105 - Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti, Simona Nisticò:
A Semi-automatic Data Generator for Query Answering. 106-114
Explainability
- Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba:
XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. 117-126 - Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Impact of Feedback Type on Explanatory Interactive Learning. 127-137 - Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco, Pasquale Lambardi:
Learning and Explanation of Extreme Multi-label Deep Classification Models for Media Content. 138-148 - Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur:
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. 149-161 - John Sipple, Abdou Youssef:
A General-Purpose Method for Applying Explainable AI for Anomaly Detection. 162-174 - Lars Holmberg, Carl Johan Helgstrand, Niklas Hultin:
More Sanity Checks for Saliency Maps. 175-184
Intelligent Systems
- Eeshaan Asodekar, Arpan Nookala, Sayali Ayre, Anant V. Nimkar:
Deep Reinforcement Learning for Automated Stock Trading: Inclusion of Short Selling. 187-197 - Alfredo Cuzzocrea, Selim Soufargi, Alessandro Baldo, Edoardo Fadda:
Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology. 198-208 - Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli:
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. 209-218 - Elzbieta Kubera, Agnieszka Kubik-Komar, Alicja Wieczorkowska, Krystyna Piotrowska-Weryszko, Pawel Kurasinski, Agata Konarska:
Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition. 219-229 - Katrina Nesterenko, Rory Lewis:
Rough Sets for Intelligence on Embedded Systems. 230-239 - Hasan M. Jamil:
Context as a Distance Function in ConSQL. 240-248
Classification and Clustering
- Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Detecting Anomalies with rmLatentOut: Novel Scores, Architectures, and Settings. 251-261 - Mieczyslaw A. Klopotek, Robert A. Klopotek:
Richness Fallacy. 262-271 - Andreas Knoblauch:
Adapting Loss Functions to Learning Progress Improves Accuracy of Classification in Neural Networks. 272-282 - Jannaï Tokotoko, Rodrigue Govan, Hugues Lemonnier, Nazha Selmaoui-Folcher:
Multiscale and Multivariate Time Series Clustering: A New Approach. 283-293 - Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng:
Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy. 294-304 - Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng:
Understanding Negative Calibration from Entropy Perspective. 305-314 - Mieczyslaw A. Klopotek:
A New Clustering Preserving Transformation for k-Means Algorithm Output. 315-322
Complex Data
- Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. 325-335 - Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani, Paolo Terenziani:
AS-SIM: An Approach to Action-State Process Model Discovery. 336-345 - Francesco Folino, Gianluigi Folino, Massimo Guarascio, Luigi Pontieri:
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery. 346-356 - Zoe Hancox, Samuel D. Relton:
Temporal Graph-Based CNNs (TG-CNNs) for Online Course Dropout Prediction. 357-367 - Wen-Yu Lee:
Graph Convolutional Networks Using Node Addition and Edge Reweighting. 368-377 - Simona Nisticò, Luigi Palopoli, Adele Pia Romano:
Audio Super-Resolution via Vision Transformer. 378-387 - Kenniy Olorunnimbe, Herna L. Viktor:
Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends. 388-398 - Grazina Korvel, Krzysztof Kakol, Povilas Treigys, Bozena Kostek:
Investigating Noise Interference on Speech Towards Applying the Lombard Effect Automatically. 399-407
Medical Applications
- Jamie Andrew Duell, Xiuyi Fan, Monika Seisenberger:
Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers. 411-420 - Petr Berka, Maciej Pondel, David Chudán, Agnieszka Siennicka:
Towards Tailored Intervention in Medicine Using Patients' Segmentation. 421-429 - Agnieszka Dardzinska, Anna Kasperczuk:
Application of Association Rules to Classify IBD Patients. 430-437 - Xin Zhang, Xinyan Shi, Pamela Thompson:
Unsupervised Learning Based Rule Generating System with Temporal Features Extractions Tuned for Tinnitus Retraining Therapy. 438-445
Industrial Applications
- Luciano Argento, Erika De Francesco, Pasquale Lambardi, Paolo Piantedosi, Carlo Romeo:
TrueDetective 4.0: A Big Data Architecture for Real Time Anomaly Detection. 449-458 - Nicola Poeta, Enrico Giai, David Turnbull:
Optimising the Machine Translation Workflow - Analysis, Development, Benchmarking, Testing and Maintenance. 459-466 - Seda Polat Erdeniz, Michael Schrempf, Diether Kramer, Alexander Felfernig:
A Comparative Study: Classification Vs. Matrix Factorization for Therapeutics Recommendation. 467-476 - Ali Youssef, Gabriele Valvano, Giacomo Veneri:
Document Layout Analysis with Variational Autoencoders: An Industrial Application. 477-486
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