| Title |
|
Authors |
Session |
Presence/Remote |
| Granular Emotion Detection in Social Media Using Multi-Discipline Ensembles |
|
Robert H. Frye and David C. Wilson |
SOCIAL MEDIA AND RECOMMENDATION – Wednesday, October 5th 11:05-11:25 |
P |
| Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models |
|
Muhamet Kastrati, Marenglen Biba, Ali Shariq Imran and Zenun Kastrati |
SOCIAL MEDIA AND RECOMMENDATION – Wednesday, October 5th 11:25-11:45 |
R |
| Disruptive Event Identification in Online Social Network |
|
Aditi Seetha, Satyendra Singh Chouhan, Sanskar Soni, Dev Milan Mehta and Vinush Vishwanath |
SOCIAL MEDIA AND RECOMMENDATION – Wednesday, October 5th 11:45-12:05 |
R |
| Modeling Polarization on Social Media Posts: A Heuristic Approach Using Media Bias |
|
Sadia Kamal, Jade Gullic and Arunkumar Bagavathi |
SOCIAL MEDIA AND RECOMMENDATION – Wednesday, October 5th 12:05-12:20 |
R |
| Sarcasm detection in Tunisian social media comments: Case of COVID-19 |
|
Asma Mekki, Inès Zribi, Mariem Ellouze and Lamia Hadrich Belguith |
SOCIAL MEDIA AND RECOMMENDATION – Wednesday, October 5th 12:20-12:35 |
R |
| Multimodal Deep Learning and Fast Retrieval for Recommendation |
|
Luigi Portinale and Daniele Ciarlo |
SOCIAL MEDIA AND RECOMMENDATION – Wednesday, October 5th 12:35-12:50 |
R |
| Mining news articles dealing with Food Security |
|
Hugo Deléglise, Agnès Bégué, Roberto Interdonato, Elodie Maître d’Hôtel, Mathieu Roche and Maguelonne Teisseire |
NATURAL LANGUAGE PROCESSING – Wednesday, October 5th 9:00-9:20 |
R |
| Identification of Paragraph Regularities in Legal Judgements through Clustering and Textual Embedding |
|
Graziella De Martino and Gianvito Pio |
NATURAL LANGUAGE PROCESSING – Wednesday, October 5th 9:20-9:40 |
P |
| Aspect term extraction improvement based on a hybrid method |
|
Sarsabene Hammi, Souha Mezghani Hammami and Lamia Hadrich Belguith |
NATURAL LANGUAGE PROCESSING – Wednesday, October 5th 9:40-10:00 |
R |
| Exploring the Impact of Gender Bias Mitigation Approaches on a Downstream Classification Task |
|
Nasim Sobhani and Sarah Jane Delany |
NATURAL LANGUAGE PROCESSING – Wednesday, October 5th 10:00-10:20 |
P |
| A semi-automatic data generator for Query Answering |
|
Fabrizio Angiulli, Alessandra Del Prete, Fabio Fassetti and Simona Nisticò |
NATURAL LANGUAGE PROCESSING – Wednesday, October 5th 10:20-10:35 |
P |
| XAI to explore robustness of features in adversarial training for cybersecurity |
|
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice and Donato Malerba |
EXPLAINABILITY I – Monday, October 3rd 9:00-9:20 |
P |
| Impact of Feedback Type on Explanatory Interactive Learning |
|
Misgina Tsighe Hagos, Kathleen M. Curran and Brian Mac Namee |
EXPLAINABILITY I – Monday, October 3rd 9:20-9:40 |
P |
| Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content |
|
Marco Minici, Francesco Sergio Pisani, Massimo Guarascio, Erika De Francesco and Pasquale Lambardi |
EXPLAINABILITY I – Monday, October 3rd 9:40-10:00 |
P |
| An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout |
|
Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia and Lukasz Mazur |
EXPLAINABILITY II – Tuesday, October 4th 9:00-9:20 |
R |
| A general-purpose method for applying Explainable AI for Anomaly Detection |
|
John Sipple and Abdou Youssef |
EXPLAINABILITY II – Tuesday, October 4th 9:20-9:40 |
P |
| More Sanity Checks for Saliency Maps |
|
Lars Holmberg, Carl Johan Helgstrand and Niklas Hultin |
EXPLAINABILITY II – Tuesday, October 4th 9:40-9:55 |
P |
| Deep Reinforcement Learning for Automated Stock Trading: Inclusion of Short Selling |
|
Eeshaan Asodekar, Arpan Nookala, Sayali Ayre and Anant Nimkar |
INTELLIGENT SYSTEMS – Monday, October 3rd 15:30-15:50 |
R |
| Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology |
|
Alfredo Cuzzocrea, Selim Soufargi, Alessandro Baldo and Edoardo Fadda |
INTELLIGENT SYSTEMS – Monday, October 3rd 15:50-16:10 |
P |
| Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems |
|
Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori and Marco Zuppelli |
INTELLIGENT SYSTEMS – Monday, October 3rd 16:10-16:30 |
P |
| Towards Automation of Pollen Monitoring: Image-Based Tree Pollen Recognition |
|
Elzbieta Kubera, Agnieszka Kubik-Komar, Alicja Wieczorkowska, Krystyna Piotrowska-Weryszko, Paweł Kurasiński and Agata Konarska |
INTELLIGENT SYSTEMS – Monday, October 3rd 16:30-16:50 |
R |
| Rough Sets for Intelligence on Embedded Systems |
|
Katrina Nesterenko and Rory Lewis |
INTELLIGENT SYSTEMS – Monday, October 3rd 16:50-17:10 |
P |
| Context as a Distance Function in ConSQL |
|
Hasan Jamil |
INTELLIGENT SYSTEMS – Monday, October 3rd 17:10-17:25 |
R |
| Detecting Anomalies with LatentOut: Novel Scores, Architectures, and Settings |
|
Fabrizio Angiulli, Fabio Fassetti and Luca Ferragina |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 10:30-10:40 |
P |
| Richness Fallacy |
|
Mieczysław Kłopotek and Robert Kłopotek |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 10:40-11:00 |
R |
| Adapting loss functions to learning progress improves accuracy of classification in neural networks |
|
Andreas Knoblauch |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 11:00-11:20 |
R |
| Multiscale and multivariate time series clustering: A new approach |
|
Jannai Tokotoko, Rodrigue Govan, Hugues Lemonnier and Nazha Selmaoui-Folcher |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 11:20-11:40 |
P |
| Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy |
|
Jun Zhang, Wen Yao, Xiaoqian Chen and Ling Feng |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 11:40-12:00 |
R |
| Understanding Negative Calibration from Entropy Perspective |
|
Jun Zhang, Wen Yao, Xiaoqian Chen and Ling Feng |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 12:00-12:20 |
R |
| A New Clustering Preserving Transformation for $k$-Means Algorithm Output |
|
Mieczysław Kłopotek |
CLASSIFICATION AND CLUSTERING – Monday, October 3rd 12:20-12:35 |
R |
| A Transformer-Based Framework for Geomagnetic Activity Prediction |
|
Yasser Abduallah, Jason T. L. Wang, Chunhui Xu and Haimin Wang |
COMPLEX DATA I – Tuesday, October 4th 9:55-10:15 |
R |
| Investigating noise interference on speech towards applying the Lombard effect automatically |
|
Grazina Korvel, Krzysztof Kąkol, Povilas Treigys and Bożena Kostek |
COMPLEX DATA I – Tuesday, October 4th 10:15-10:30 |
R |
| AS-SIM: an approach to Action-State Process Model Discovery |
|
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi, Stefania Montani, Manuel Striani and Paolo Terenziani |
COMPLEX DATA II – Tuesday, October 4th 11:00-11:20 |
R |
| Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery |
|
Francesco Folino, Gianluigi Folino, Massimo Guarascio and Luigi Pontieri |
COMPLEX DATA II – Tuesday, October 4th 11:20-11:40 |
P |
| Temporal Graph-based CNNs (TG-CNNs) for Online Course Dropout Prediction |
|
Zoe Hancox and Samuel Relton |
COMPLEX DATA II – Tuesday, October 4th 11:40-12:00 |
P |
| Graph Convolutional Networks Using Node Addition and Edge Reweighting |
|
Wen-Yu Lee |
COMPLEX DATA II – Tuesday, October 4th 12:00-12:20 |
R |
| Audio Super-Resolution via Vision Transformer |
|
Simona Nisticò, Luigi Palopoli and Adele Pia Romano |
COMPLEX DATA II – Tuesday, October 4th 12:20-12:40 |
P |
| Similarity embedded temporal Transformers: Enhancing stock predictions with historically similar trends |
|
Kenniy Olorunnimbe and Herna Viktor |
COMPLEX DATA II – Tuesday, October 4th 12:40-13:00 |
R |
| Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers |
|
Jamie Duell, Xiuyi Fan and Monika Seisenberger |
MEDICAL APPLICATIONS – Wednesday, October 5th 14:00-14:20 |
P |
| Towards Tailored Intervention in Medicine Using Patients’ Segmentation |
|
Petr Berka, Maciej Pondel, David Chudán and Agnieszka Siennicka |
MEDICAL APPLICATIONS – Wednesday, October 5th 14:20-14:35 |
R |
| Application of association rules to classify IBD patients |
|
Agnieszka Dardzinska and Anna Kasperczuk |
MEDICAL APPLICATIONS – Wednesday, October 5th 14:35-14:50 |
R |
| Unsupervised Learning Based Rule Generating System with Temporal Features Extractions Tuned for Tinnitus Retraining Therapy |
|
Xin Zhang, Xinyan Shi and Pamela Thompson |
MEDICAL APPLICATIONS – Wednesday, October 5th 14:50-15:05 |
R |
| TrueDetective 4.0: a Big data architetture for real time anomaly detection |
|
Luciano Argento, Erika De Francesco, Pasquale Lambardi, Paolo Piantedosi and Carlo Romeo |
INDUSTRIAL APPLICATIONS – Wednesday, October 5th 15:35-15:55 |
P |
| Optimising the Machine Translation Workflow: Analysis, Development, Benchmarking, Testing and Maintenance |
|
Nicola Poeta, Enrico Giai and David Turnbull |
INDUSTRIAL APPLICATIONS – Wednesday, October 5th 15:55-16:15 |
R |
| Classification vs Recommendation methods for Therapeutics Recommendation |
|
Seda Polat Erdeniz, Michael Schrempf, Diether Kramer and Alexander Felfernig |
INDUSTRIAL APPLICATIONS – Wednesday, October 5th 16:15-16:35 |
P |
| Document Layout Analysis with Variational Autoencoders : an Industrial Application |
|
Gabriele Valvano, Giacomo Veneri and Ali Youssef |
INDUSTRIAL APPLICATIONS – Wednesday, October 5th 16:35-16:55 |
R |
