Overzicht van het onderwerp

• General

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  General Information of the Cognitive Systems Group
  

  Dear Students,

  At this point you will find general information of our professorship which are not directly connected to any course.

  If you have any questions, please do not hesitate to contact us. Either by posting in the Q&A forum below or by contacting one of our group members directly:
  

  • Prof. Dr. Ute Schmid
  • Bettina Finzel
  • Christoph Wehner
  • Jonas Troles
    

  
  

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    News Forum
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    Q & A Forum
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    Job Offers Forum

• Doctoral Colloquium

  The Cognitive Systems group holds a regularly doctoral colloquium. There, our internal and external doctoral students present and discuss the current status of their work. Occasionally, we invite external lecturers. We welcome interested students and colleagues (exceptions are marked with 'internal' in the schedule).

  When? Wednesdays, 16:00 s.t. - 17:30
  Where? KogSys-Lab (WE5/05.013)
  

  • Hybrid Colloquium

    CogSys Lab: WE5/05.013
    Every Wednesday: 16:00-17:30 Uhr
    (Every first Wednesday of the Month is the BaCAI Colloquium!)
    

    Information to participate via Teams:

    Microsoft Teams Need help?
    Join the meeting now
    Meeting ID: 395 905 962 780
    Passcode: VKQADB

    For meetings outside our regular schedule (Wednesdays 16:00-17:30) we will have one time Teams meeting links which can be found in the news feed.

    Schedule WS 2024/2025 - Hybrid Colloquium

    Date	Speaker(s)	Topic
    02.10.24 - 16:15	multiple	BaCAI Colloquium
    09.10.24 - 16:00	---	Open Session
    16.10.24 - 16:00	---	Cancelled due to the CogSys DC-Days happening on the following days
    23.10.24 - 16:00	---	Open Session
    30.10.24 - 16:00	---	Open Session
    06.11.24 - 16:15	multiple	BaCAI Colloquium
    13.11.24 - 16:00	---	Open Session
    20.11.24 - 16:00	---	Open Session
    27.11.24 - 16:00	---	Open Session
    04.12.24 - 16:15	multiple	BaCAI Colloquium
    11.12.24 - 16:00	Corbinian Weithmann	Erklärbare Fehlerklassifikation in der bildbasierten industriellen Qualitätskontrolle
    18.12.24 - 16:00	---	Open Session
    25.12.24 - 16:00	---	Holidays
    01.12.25 - 16:00	---	Holidays
    08.01.25 - 16:15	multiple	BaCAI Colloquium
    15.01.25 - 16:00	---	Open Session
    22.01.25 - 16:00	Tobias Nietsch	Topic will be announced
    29.01.25 - 16:00	---	Open Session
    05.02.25 - 16:15	multiple	BaCAI Colloquium
    12.02.25 - 16:00	---	Open Session
    19.02.25 - 16:00	---	Open Session
    26.02.25 - 16:00	---	Open Session
    05.03.25 - 16:00	---	Open Session
    12.03.25 - 16:00	---	Open Session
    19.03.25 - 16:00	---	Open Session
    26.03.25 - 16:00	---	Open Session

    
    

    Schedule SS 2024 - Hybrid Colloquium

    Date	Speaker(s)	Topic
    03.04.24 - 16:00	---	Open Session
    10.04.24 - 16:00	---	cancelled
    11.04.24 - 17:00	David Cerna	Anti-unification: Introduction, Applications, and Recent Results
    15.04.24 - 12:00	Daniel Gramelt	ThesisExplanatory interactive machine learning for welding seam quality assessment
    17.04.24 - 16:00	---	Open Session
    24.04.24 - 16:00	---	Open Session
    01.05.24 - 16:00	---	Holidays
    08.05.24 - 16:00	---	Open Session
    15.05.24 - 16:00	---	Open Session - ONLY REMOTE
    22.05.24 - 17:00	Thomas Schultze-Gerlach	Using Large Language Models to Augment (Rather Than Replace) Human Feedback in Higher Education Improves Perceived Feedback Quality
    29.05.24 - 16:00	Lukas Gernlein	Towards Explainable and Interactive Machine Learning for Multi-Label Classification
    05.06.24 - 16:00	---	Open Session - ONLY REMOTE
    12.06.24 - 16:00	---	Open Session - ONLY REMOTE
    19.06.24 - 16:00	Annabel Lindner (FAU)	How to Deal with Transformative Topics in Computer Science Education: An Analysis Based on the Topic of Artificial Intelligence
    26.06.24 - 16:00	---	Open Session
    03.07.24 - 16:00	---	Open Session
    10.07.24 - 15:00	Corbinian Weithmann	tba
    10.07.24 - 16:00	Leonhard Kestel	Tree Vitality Classification from Image Data - A Comparison of Multipectral Index Scores and Deep Learning Approaches
    14.07.24 - 14:00	Christian Dormagen	Inductive Learning of System-level Process Behaviour Explanations - A Hybrid Machine Learning Approach for Process Mining
    17.07.24 - 17:00	---	Open Session
    22.07.24 - 10:00	Barbara Blank	Utilizing NLP Methods in an Intelligent Tutor System for Teaching Concepts by Socratic Dialog – Learning about Trees in Primary Education
    24.07.24 - 16:00	---	Open Session
    31.07.24 - 16:00	---	Open Session
    07.08.24 - 16:00	---	Open Session
    14.08.24 - 16:00	---	Open Session
    21.08.24 - 16:00	---	Open Session
    26.08.24 - 14:00	Johannes Langer	A Neuro-symbolic Single-path Approach for Solving Raven’s Progressive Matrices
    28.08.24 - 16:00	---	Open Session
    04.09.24 - 16:00	---	Open Session
    11.09.24 - 16:00	---	Open Session
    16.09.24 - 11:00	Satyam Pant	Model Revision for Images Based on Near-Misses and Near-Hits Explanation-Guided Augmentation
    18.09.24 - 16:00	---	Open Session
    25.09.24 - 16:00	---	Open Session
    26.09.24 - 14:00	Leonhard Kestel	Tree-Vitality Classification from Image Data - A Comparison of Multispectral Indices and Deep Learning Approaches

    
    
    

    
    

    
    

    Schedule WS 2023/2024 - Hybrid Colloquium

    Date	Speaker(s)	Topic
    9.10.2023	Richard Nieding	Unsupervised Machine Learning via Feature Extraction and Clustering to Classify Tree Species from High-Resolution UAV-based RGB Image Data
    18.10.2023	Judith & Leo	Bericht über die European Summer School on Artificial Intelligence
    25.10.2023		Open Session
    1.11.2023		Open Session
    8.11.2023		Open Session
    15.11.2023		Open Session
    22.11.2023		CANCELLED
    29.11.2023 14:00 s.t.	Oraz Serdarov	Verteidigung MA: Explainable Unsupervised Learning for Fraud Detection (in coop with HUK Coburg)
    29.11.2023	Martin Schmeißer	MA Verteidigung: Evaluating methods for transcompiling high-level programming languages (MA AI, in cooperation with Siemens)
    4.12.2023 15:30	Adrian Völker	OS4ITS: A Distributed Shell-based Platform for Integrated Knowledge- and Learner-Modeling and Curriculum Management Across Different Tutoring Systems
    6.12.2023		Open Session
    13.12.2023		Open Session
    20.12.2023 12:00 s.t.	Shamim Miroliaei	Verteidigung: Exploring Potential Biases in Sequential Data Classification for Hand Gesture Recognition using Layer-wise Relevance Propagation and Cluster Analysis
    20.12.2023		Open Session
    21.12.2023 13:00 s.t.	Jonas Amling	Explainable AI for Mixed Data Clustering -- Model-Agnostic Entropy-Based Cluster Explanations
    ---		Weihnachten
    10.1.2024		Open Session
    17.1.2024 16:00-17:30	Alexander Köbler	Human-Centered AI Using Domain Knowledge
    24.1.2024		Open Session
    31.1.2024		Open Session
    7.2.2024		Open Session
    14.2.2024		Open Session
    21.2.2024		Open Session
    28.2.2024		Open Session
    6.3.2024		Open Session
    13.3.2024		Open Session
    20.3.2024		Open Session
    27.3.2024		Open Session

    
    

    
    

    Schedule SS 2023 - Hybrid Colloquium

    
    

    Date	Speaker(s)	Topic
    13.4.23	Franz Motzkus	How to Doktor*innenarbeit
    20.4.23	Bettina Finzel	Write Reviews: A How To
    10.5.23	Bettina Finzel	Pixy - ein Tool für Reasoning auf Graphen (im Speziellen Neo4j)
    24.5.23	Bettina Finzel	Concept- and Relation-based Explanations
    15.6.2023	Adish Singla	Fakultäts Kolloquium: AI-Driven Educational Technology for Introductory Programming
    Monday 3.7.2023 14:00-15:00	Christoffer Löffler	tba
    Tuesday 4.7.2023 14:00-15:30	Martin Schmeißer	tba
    19.7.2023	Prof. Dr. CC Carbon	Verschwörungstheorien und -mythen: Was, woher, warum - was machen sie mit uns und wie gehen wir mit ihnen um, und das in Zeiten von DeepL, ChatGPT, DALL-e und Kolleg*innen?
    23.8.2023	Zeynep Saribatur (TU Wien)	Foundations for Projecting Away the Irrelevant in ASP Program
    Monday 28.8.2023 11:00	Alexander Hatzold, Master Angewandte Informatik	Semantic and Syntactic Analogical Reasoning in Large Language Models (LLMs): Effects of Different Types of Prompting on the Performance of ChatGPT
    13.9.2023	Simon Schramm (BMW)	ILP for explainable graph clustering
    19.9.2023	Felix Hempel	Explanatory and Interactive Machine Learning with Counterfactual Explanations for Ordinal Data

    
    
    

    
    

    Schedule WS 2022/23 - Virtual Colloquium

    
    

    Date	Topic
    05.10.2022 (10:00)	Louisa Heidrich: Combining Explanatory Interactive Learning and Fair Machine Learning – Interacting with Explanations to Uncover and Reduce Human and Machine Biases
    25.10.2022 (14:00)	Amit Singh: Does Contrastive Attention Guidance Facilitate Action Recall? An Eye- tracking Study
    10.11.2022 (12:15)	Zeynep Saribatur: Towards Comprehensible ASP Reasoning by Means of Abstraction
    14.11.2022 (16:00)	David Tafler: The Object-Centric Concept Learner - An Interpretable Framework for Learning Relational Visual Concepts
    20.12.2022	Thomas Sedlmeir: Betrugserkennung in Dokumenten: Untersuchung von Methoden des Maschinellen Lernens für die Identifikation manipulierter Zeichen
    19.1.2023	Stefan Raab: Active Learning for interactive labeling of RGB UAV forest data Johannes Rabold & Johannes Langer: A Brief Overview of Transformer Models and their Architecture (PDF zum Vortrag)
    26.1.2023	Open Session
    2.2.2023 (tba)	Maximilian Rosilius: Fehlerauswirkungen in der Mensch-Maschine-Interaktion auf die menschliche Leistung und Akzeptanz
    16.2.2023 (18:00-19:00)	Franz Motzkus: Quantifizierung von lokalen Heatmapping xAI Methoden
    02.3.2023	Christoph Wehner: Docker Einführung
    09.3.2023	Mareike Müller: Masterarbeit Verteidigung zum Thema "Dynamic Fingerspelling Recognition Using Sequential Deep Learning"

    
    

    Schedule ST 2022 - Virtual Colloquium

    
    

    Date	Topic
    13.04.2022 (17:00)	Mareike Müller: Automatic Sign Language Recognition
    12.05.2022	Matthias Uhl: People Prefer Moral Discretion to Algorithms
    23.06.2022	Alexander Becker: Certified Data Removal in Sum Product Networks
    05.07.2022	Felix Schweinfest: Comparing the Performance of Memory Augmented Neural Networks in Reinforcement Learning

    
    
    

    
    

    Schedule WS 2021/22 - Virtual Colloquium

    
    

    Date	Topic/Doctoral Candidate
    07.10.2021	Simon Kuhn: Verifying Convolutional Neural Networks: A Landmark-based Approach for Quantitative Evaluation of Facial Action Unit Classification
    29.10.2021	Christoph Wehner: Master's Defense with the topic: "Interpretable Lane Change Prediction"
    25.11.2021	Oliver Mey: Prediction of Energy Consumption for Variable Customer Portfolios Including Aleatoric Uncertainty Estimation
    02.12.2021	Sarem Seitz: Gaussian Processes come with (almost) free explainability
    07.12.2021 (17:00!!)	Pascal Hitzler: Concept Induction for Explainable AI
    13.01.2022	An Explanatory Interactive Machine Learning Approach for Image Classication in Medical Engineering. (Bachelor Thesis, Yannik Ott) Recent Advances in the hKI-Chemie Project: An Incremental Attribution Method for Gaussian Processes. (hKI-Chemie, Emanuel Slany)
    16.02.2022 (17:00!!)	Talk Aliya Hammad: Optimizing Hierarchical Classification for Resource-Constrained Systems Using Reinforcement Learning Methods.
    24.03.2022	Talk Christoph Wehner: Root-Cause Detection in the Wild -  The first steps of the project "KIProQua"

    
    

    
    

    Schedule ST 2021 - Virtual Colloquium

    
    

    Date	Topic/Doctoral Candidate
    15.04.2021	Bettina Finzel: Interactive Machine Learning
    29.04.2021	Jan Tinapp: Debugging Causal Models. Later: Johannes Rabold: Discussion Research Proposition (Humanly plausible feature vector clustering)
    06.05.2021	Lisa Lengenfelder: Are Relations Relevant in CNNs?
    20.05.2021	Talk 2: Deepika Arneja: TraMeExCo Internship Presentation (Join via Teams here)
    20.05.2021	Talk 1: Joscha Eirich, Jakob Bonart: ”The interactive clustering and labeling of acoustic signature patterns of electrical engines (We use the same Teams link as one row above!)
    27.05.2021	Oliver Mey: Self-Masking Adversarial Networks
    10.06.2021	Dennis Müller: Mathematical Knowledge Management Across Formal Libraries
    24.06.2021	Wolfgang Kratsch (Credium): Fusion von unterschiedlichen Datenquellen für semi-automatisiertes Labelling und Closed-Loop Machine Learning Cycle
    01.07.2021	Alexander Schneider: How to Train a NER Model from Annotation to Model
    05.07.2021	Ploy Schneider: Counterfactuals as an Approach to Test Fairness in Machine Learning -- And Why Fairness in Machine Learning Affects Everyone
    15.07.2021	Christian Wirth: Scalable Probabilistic Deep Learning: An Engineers Guide to the State of the Art
    23.09.2021	Maximilian Muschalik: Beyond Contrastive Explanations for Deep Learning Models in Physical Relational Domains

    
    
    

    Schedule WT 2020/21 - Virtual Colloquium

    
    

    Date	Topic/Doctoral Candidate
    01.10.2020 & 08.10.2020	KI2020 Recap
    15.10.2020	AI Safety, Gesina Schwalbe
    29.10.2020	Mena Leemhuis: Cones, Negations and all that
    5.11.2020 (will start at 17:15 this time only!)	Durgesh Nandini: Answer Set Programming
    12.11.2020	Deep Transfer Learning for Time Series Regression in Chemical Production, Namrata Jain (Master Thesis at Wacker AG, Intermediate Presentation)
    19.11.2020	Deniz Neufeld: Recurrent Neural Network Architecture based on Dynamic Systems Theory for Data Driven Modelling of Complex Physical Systems
    26.11.2020	Sarem Seitz: Bayesian mixtures of interpretable experts
    10.12.2020	Bettina Finzel: Sustainability in Machine Learning: From Nomads to Data Centers and Back.
    14.12.2020	Regina Siegers (Master Survey Statistics, Uni Bamberg): Vectors and the Search for Happiness.
    21.01.2021	Tobias Huber (Uni Augsburg): "Benchmarking Perturbation-based Saliency Maps for Explaining Deep Reinforcement Learning Agents" and "Do Deep Neural Networks Forget Facial Action Units? - Exploring the Effects ofTransfer Learning in Health Related Facial Expression Recognition"
    11.03.2021	mgm: AI assisted labelling tool
    18.03.2021	Lennart Thamm: Intermediate Presentation of thesis results (delayed and will start at 17:00)
    25.03.2021	Gesina Schwalbe: Concept Analysis for Verification - slides
    15.04.2021	Bettina Finzel: Interactive Machine Learning: Approaches and Examples (this time only click here to join the Teams meeting)

    
    

    Schedule ST 2020 - Virtual Colloquium

    
    

    Date	Topic/Doctoral Candidate
    09.07.2020	Joscha Eirich
    23.07.2020	Gesina Schwalbe and Johannes Rabold
    17.09.2020	Kick-Off in Preparation of Winter Term

    
    
    

  • Schedule WT 2019/20

    
    

    Date	Topic/Doctoral Candidate
    2020-01-30	Sarem Seitz: "End-to-end prototype-based reinforcement learning"
    2020-02-13	Tobias Hepp: "Latent Class Distributional Regression"
    2020-03-19	Regina Siegers: "Parallelized Causal Inference with Latent Variables"

    
    
    
  • Schedule ST 2019

    Date	Topic / Doctoral Candidate
    2019-04-18	Gast: Thomas Voit, TH Nürnberg, Lernen über Spiele/Ähnlichkeit von Spielen
    2019-04-25
    2019-05-02	internal meeting
    2019-05-09	no meeting
    2019-05-16	no meeting
    2019-05-23	Thoughts on automatic constraint generation from examples (Michael Siebers)
    2019-05-30	public holiday
    2019-06-06	14-15 Malte Büttner -- Iterative visual reasoning beyond convolutions
    2019-06-13	Reserved - topic will be announced
    2019-06-20	public holiday
    2019-06-27	no meeting
    2019-07-04	Towards the Inference of Shape Predicates from Memory Graphs (Jan Boockmann)
    2019-07-11	Making Reinforcement Learning agents efficient for learning and acting in the real-world (Sarem Seitz)(17:15)
    2019-07-18	no meeting
    2019-07-25	Pepper (Sebastian Seufert, Ferdinand Lang)
    2019-08-01	no meeting
    2019-08-08	public holiday
    2019-08-15	public holiday
    2019-08-22	no meeting
    2019-08-29	Der Einfluss von Erklärungen auf Vertrauen in Dare2Del - Studienvorstellung (Clemens Bartnik)
    2019-09-05
    2019-09-12	external talk (Tim Grelka) 13-14 Uhr!
    2019-09-19	no meeting
    2019-09-24, 9:15-11:00 (Tuesday)	Optimizing alert timings (external talk, Thilip)
    2019-09-26	no meeting

  • Schedule WT 2018/19

    Date	Topic / Doctoral Candidate
    2018-11-22, 14:00-15:00	Mark Gromowski internal
    2018-11-29	Explanation Generation Frameworks
    2018-12-06	Bayesian Deep Learning (Johannes Rabold)
    2018-12-13	ibindo – ein Chatbot gegen Liebeskummer (external talk) [abstract]
    2018-12-20	Gesina Schwalbe, Absicherung von DNNs im autonomen Fahren; afterwards Christmas party
    2019-01-10	cancelled!
    2019-01-17
    2019-01-24	no meeting
    2019-01-31	Hannah Deininger, Masterarbeit zur expliziten Erklärungsfindung für komplexe Neuronale Netze
    2019-02-07	cancelled!
    2019-02-14, 17:00-18:00	Bettina Finzel, Constraint-based Explanations in Aleph
    2019-02-20	Mark Gromowski, Projektupdate PainFaceReader (Schwerpunkt Datenrepräsentation)
    2019-02-28	no meeting
    2019-03-07	ECDA 2019 - Testvorträge / Fragen
    2019-03-14	Gast: Martin Hillebrand (Vodafone)
    2019-03-21	Abschlussbericht Praktikant Sebastian Gary
    2019-03-28	no meeting

• Theses and Project Topics

  In the Cognitive Systems group, topics for 15-ECTS projects^* and bachelor's and master's theses are usually closely linked to our research. If you like to do your thesis or a project with us, please select a suitable topic from the list below or / and contact the named contact person. Alternatively, we encourage students to suggest their own topic. In that case, please contact Prof. Schmid, Bettina Finzel or Johannes Langer. You can look at the current research projects of the group and past student projects as inspiration for your topic. In either case, we expect that you have shown interest in our group, for example by participating in our courses.

  More information regarding theses at the Cognitive Systems group can be found on our website. 

  ^*Note that 6-ECTS Projects (winter or summer semester) have fixed topics and are organized via Univis, like regular lectures.
  

  ---

  • There are currently no specific topics posted here. If you are interested in writing your thesis at our chair please directly contact us with your own topic idea.
    

• Organisatorisches
  Niet beschikbaar tenzij: Je behoort tot een groep in Orga

• Templates
  • Vorlagen

  • Das aktuelle Template für Abschlussarbeiten am Lehrstuhl finden Sie im Git unter folgendem Link (bitte beachten Sie die README): https://gitlab.rz.uni-bamberg.de/cogsys/public/students/thesis-template

    Unsere alten Templates finden Sie hier:
    

  • 

    LaTeX-template for seminary and project reports Bestand
  • 

    LaTeX-template for bachelor and master theses Bestand

• Wiki
  • 

    CogSys Wiki - Persons and expertise topics

    Niet beschikbaar tenzij: Je behoort tot een groep in Promovierende